Two men killed in boating accident in The Bahamas | Loop Caribbean News – Loop News Caribbean

Police in The Bahamas are investigating a boating accident off Rose Island which left two men dead, and a third person injured.

Around 9:30 am, police were alerted that the bodies of two males were found unresponsive and another male found with head injuries in waters near Rose Island.

Police in an interview with Our News Bahamas said preliminary investigations suggests the three males were onboard a small open hull vessel on route to South Amherst when it is believed they collided with a reef in that area which resulted in them being ejected from the vessel.

A passerby vessel in the area was able to bring the injured man to harbour patrol base, with the injured man being taken to hospital. The other two men were pronounced dead. The identities of the victims are yet to be released.

The incident remains under investigation.

See the original post:

Two men killed in boating accident in The Bahamas | Loop Caribbean News - Loop News Caribbean

Meet the AAS Keynote Speakers: Dr. Kerstin Perez – Astrobites

In this series of posts, we sit down with a few of the keynote speakers of the 244th AAS meeting to learn more about them and their research. You can see a full schedule of their talks here, and read our other interviews here!

We all know that academic careers are usually a winding path and not a simple straight line. No one is a better example of this than Prof. Kerstin Perez, whose career in particle physics and astrophysics took her across multiple different research fields and at least two continents.

She started out as an undergraduate studying physics at Columbia University, and moved to Caltech to complete her doctorate. After she earned her Ph.D, she returned to Columbia as an NSF Fellow. She then accepted a faculty position at Haverford College before moving and joining the faculty at MIT as an assistant professor. Finally, she returned to Columbia University again and currently serves as their Lavine Family Associate Professor of the Natural Sciences in the Department of Physics. Thats already painting an impressive picture, and we havent even started discussing her research.

Prof. Perezs reason for studying astronomy is very simple. Basic scientific research is here to help us answer the big questions and uncover things that we dont yet understand. Einstein wasnt thinking about satellite communications when he described general relativity, but without general relativity, we wouldnt have satellite communications. Its the job of astrophysics to ask these big questions, even if they dont go anywhere. Asking that question [why one studies astronomy] is, in my mind, the same as asking why we paint paintings and why we create art in any way. Its all about how we understand our space in the universe, how we relate to the rest of the world, and how we relate to each other.

Her science focuses on looking for dark matter interactions using cosmic rays in order to better understand or modify the Standard Model. In particular, she focuses on looking at extremely rare particles like antideuterons and hypothetical light particles like axions. In her quest to find these particles, Prof. Perez became a part of, and in some cases the leader of, many large science collaborations in particle physics and astronomy. So, lets take a quick walk through some of her current projects as well as show a quick preview of her upcoming research!

NuStar, or Nuclear Spectroscopic Telescope Array, is a NASA X-ray telescope that launched in 2012 and has been revolutionary in furthering the field of X-ray astronomy. However, while the primary intent of the telescope was to study black holes and supernova remnants, Prof. Perez had other uses for it. She originally got involved in the project as a postdoc, where she helped develop the optics for the telescope. What happened in my career was I did [part of] my Ph.D at CERN. I was on the ATLAS experiment when it first turned on, and when I got to the end of my Ph.D, I still loved the fundamental particle physics questions, but I wanted to be part of building something new. That led me to the GAPS group at Columbia University since it was very similar physics. When I came here, I was in the same group that built the NuStar optics right when NuStar was launching.

Now that its operational, she uses it to study potential X-ray probes of dark matter. After I learned all the astrophysics and how all the instruments worked, I turned back to what we can do with particle physics using this same instrumentation? What kind of dark matter processes would give me X-rays? Thats where I pivoted with NuStar and did a lot of work with light dark matter candidates like sterile neutrinos and axions, as well as how we can probe them with astrophysics.

The General AntiParticle Spectrometer, or GAPS for short, is another mission in which Prof. Perez plays a large part. The goal of GAPS is to launch at least three balloon flights, lasting roughly 30 days each, in Antarctica to measure low-energy antideuterons, among other cosmic rays. Originally, when I came into GAPS, I was developing the recipes for the semiconducting silicon detectors at the heart of the instrument.

Recently, Prof. Perez took on the role of a project manager. Im now deputy PI (Principle Investigator) which means Ill take over as primary investigator after flight one, and Im also project manager of the whole project. This means Im the one making sure all our trucks are getting from point A to point B and every moving part is on schedule and getting on the boats to Antarctica. Assuming it goes well, we will do our first flight at the end of this year. With these balloons, we want to fly again and again and again for the next five to ten years. I always say that every balloon mission wants to grow up to be a satellite, so assuming all goes well with those flights, we have a good idea what this would look like if we put it in space.

Prof. Perez is also a part of two planned missions in the future. The first is HEX-P (High Energy X-ray Probe), a proposed NASA X-ray probe, and the second is IAXO (International Axion Observatory), an upcoming axion helioscope whose goal is to observe the Sun with incredibly powerful magnets in order to hopefully detect axions.

Lastly, she had some advice for all early career astronomers, including undergrads and grad students. My number one advice for undergrads is to find your people! People who support you and make you laugh. Without that, I dont think anyone makes it very far in this field. My other answer is to get some sleep!

To hear more about Dark Matter, tune into Kerstin Perezs Plenary Lecture at 11:40 AM CT on Thursday June 13th at #AAS244!

Edited by: Archana Aravindan

Featured Image Credit: AAS

The rest is here:

Meet the AAS Keynote Speakers: Dr. Kerstin Perez - Astrobites

Dark Matter Decoded: How Neutron Stars May Solve the Universe’s Biggest Mystery – SciTechDaily

A recent study from the ARC Centre of Excellence for Dark Matter Particle Physics suggests that neutron stars could play a crucial role in understanding dark matter. The study found that dark matter particles, when colliding within neutron stars, can quickly heat these stars, potentially making them observable through future astronomical technologies. This rapid heating process, previously thought to take longer than the universes age, now appears achievable within days, providing a new method to study dark matters interactions with regular matter.

Scientists may be one step closer to unraveling one of the universes greatest mysteries. Their recent calculations suggest that neutron stars could play a crucial role in shedding light on the mysterious dark matter.

In a paper published in The Journal of Cosmology and Astroparticle Physics, physicists from the ARC Centre of Excellence for Dark Matter Particle Physics, led by the University of Melbourne, calculated that energy transferred when dark matter particles collide and annihilate inside cold dead neutron stars can heat the stars up very quickly.

It was previously thought that this energy transfer could take a very long time, in some cases, longer than the age of the universe itself, rendering this heating irrelevant.

Professor Nicole Bell of the University of Melbourne said the new calculations show for the first time that most of the energy would be deposited in just a few days.

The search for dark matter is one of the greatest detective stories in science. Dark matter makes up 85 percent of the matter in our universe, yet we cant see it. Dark matter doesnt interact with light it doesnt absorb light, it doesnt reflect light, it doesnt emit light. This means our telescopes cant directly observe it, even though we know it exists. Instead, its gravitational pull on objects we can see tells us it must be there.

It is one thing to theoretically predict dark matter, but it is another thing to experimentally observe it. Experiments on Earth are limited by the technical challenges of making sufficiently large detectors. However, neutron stars act as huge natural dark matter detectors, which have been collecting dark matter for astronomically long timescales, so they are a good place for us to concentrate our efforts, Professor Bell said.

Neutron stars are formed when a supermassive star runs out of fuel and collapses. They have a mass similar to that of our Sun, squeezed into a ball just 20km wide. Any denser, they would become black holes.

While dark matter is the dominant type of matter in the Universe, it is very hard to detect because its interactions with ordinary matter are very weak. So weak, in fact, that dark matter can pass straight through the Earth, or even through the Sun.

But neutron stars are different they are so dense that dark matter particles are much more likely to interact with the star. If dark matter particles do collide with neutrons in the star, they will lose energy and become trapped. Over time, this would lead to an accumulation of dark matter in the star, Professor Bell said.

University of Melbourne PhD candidate Michael Virgato said this is expected to heat up old, cold, neutron stars to a level that may be in reach of future observations, or even trigger the collapse of the star to a black hole.

If the energy transfer happens quickly enough, the neutron star would be heated up. For this to happen, the dark matter must undergo many collisions in the star, transferring more and more of the dark matters energy until, eventually, all the energy has been deposited in the star, Mr. Virgato said.

Its previously been unknown how long this process would take because, as the energy of the dark matter particles becomes smaller and smaller, they are less and less likely to interact again. As a result, transferring all the energy was thought to take a very long time sometimes longer than the age of the universe. Instead, the researchers calculated that 99% of the energy is transferred in just a few days.

This is good news because it means that dark matter can heat neutron stars to a level that can potentially be detected. As a result, the observation of a cold neutron star would provide vital information about the interactions between dark and regular matter, shedding light on the nature of this elusive substance.

If we are to understand dark matter which is everywhere it is critical that we use every technique at our disposal to figure out what the hidden matter of our universe actually is, Mr. Virgato said.

Reference: Thermalization and annihilation of dark matter in neutron stars by Nicole F. Bell, Giorgio Busoni, Sandra Robles and Michael Virgato, 3 April 2024, Journal of Cosmology and Astroparticle Physics. DOI: 10.1088/1475-7516/2024/04/006

This research was conducted by a team of international experts at the ARC Centre of Excellence for Dark Matter Particle Physics, including Professor Nicole Bell and Michael Virgato from the University of Melbourne, Dr. Giorgio Busoni from the Australian National University and Dr. Sandra Robles from Fermi National Accelerator Laboratory, USA.

See the article here:

Dark Matter Decoded: How Neutron Stars May Solve the Universe's Biggest Mystery - SciTechDaily

Meet the AAS Keynote Speakers: Dr. Rachel Bezanson – Astrobites

In this series of posts, we sit down with a few of the keynote speakers of the 244th AAS meeting to learn more about them and their research. You can see a full schedule of their talks here, and read our other interviews here!

Looking out far into the edges of our Universe, we can essentially travel back in time to when our Universe was just forming. With new telescopes like the JWST, we can look back further than ever before, which is exactly what Dr. Bezanson, this years opening speaker at AAS 244, aims to do!

Dr. Rachel Bezanson is currently a professor at the University of Pittsburghs Department of Physics and Astronomy. Dr. Bezanson and her team, the UNCOVER JWST Project, use JWST to observe some of the galaxies and stars that formed at the beginning of our Universe.

Dr. Bezanson is this years Kavli Lecturer, the first presentation of the meeting, given to someone to highlight recent research of great importance. She and her team received this honor for the remarkable diversity of ground-breaking science that has resulted from their deep imaging and spectroscopic survey of Pandoras Cluster with JWST.

The UNCOVER program was designed with two main scientific goals: identifying and understanding the first galaxies and those galaxies that reionized the universe. They do this by imaging a relatively nearby (redshift z~0.3) galaxy cluster, Abell 2744. But the cluster isnt the actual target its things in the background, so distant galaxies that lie behind the giant cluster of galaxies, says Dr. Bezanson. Their image of the cluster can be seen in Figure 1.

The cluster itself acts as a gravitational lens, which magnifies the galaxies behind the cluster (this is also described in this Astrobite). Because of the gravitational lensing, we get this additional boost so we can see things that are intrinsically fainter, says Dr. Bezanson. Because the cluster is extremely massive, it is able to magnify objects behind it by two or more times.

They start by taking very high resolution images of the cluster with JWSTs NIRCam instrument. But the image is only the first part: after this initial image, the team created a catalog of objects they saw and identified 700 objects that they wanted to study further using the capabilities of the NIRSpec instrument to take spectra of the objects. According to Dr. Bezanson, spectroscopy is where you learn about the physics, from objects distances to information about their composition.

The NIRSpec instrument has very broad spectral coverage, from 600 5000 nanometers (nm). As we look at objects further away from us, their light appears to have longer wavelengths than it would if the same object is closer to us (redshifted), which means a sodium light bulb emitting in optical wavelengths on earth will seem to be emitting infrared light if it is moved 100 Giga-lightyears away. The broad coverage of the NIRSpec instrument means that we can study sources of optical light (like stars!) at a huge range of distances.When they took their images and spectra, they found a whole slew of interesting objects. They found two extremely high redshift galaxies at redshifts of 12.393 and 13.079, which are among some of the furthest away objects observed with JWST. They also found a supermassive black hole at the center of a galaxy, actively devouring gas from around it (called an AGN) in a fortuitous location where it is behind the cluster, her team saw three images of it! Weve learned a bunch from the spectra that we took with UNCOVER, Dr. Bezanson said.

Another interesting type of object they were able to study is a curious type of AGN, dubbed Little Red Dots. These are so far away that they look like a single red dot but are unlike any other AGN we know of theyre more massive than expected, but are missing X-ray emission (see this Astrobite for more properties of these galaxies). We dont really understand what is the physics behind them, says Dr. Bezanson, but the spectra she and her team took with UNCOVER are starting to shed light on these mysterious objects.

She emphasizes how her collaborators have been essential to the success of the project. Alongside her co-PI, Ivo Labbe, and many others theyve made this survey a success. Its been this incredible experience because of my team, she says.

Dr. Bezanson got her undergraduate degree at Barnard College in New York City. She knew she liked math and science and happened upon an astronomy class for non-majors, which prompted her to take more physics and astronomy. She taught labs and tutored as an undergrad. Upon graduation, she taught middle and high school physics for four years. She really enjoyed teaching but decided in her third year of teaching that she wanted to apply to grad school. She graduated with her PhD from Yale University and went on to become a Hubble Fellow at the University of Arizona and spent a year as a fellow at Princeton before becoming a professor at the University of Pittsburgh.

Her advice for undergraduates is to find mentors who support you if you find somebody that you think could be your advocate, try as best you can to cultivate that relationship. When deciding if you want to go to graduate school, its important to not think of grad school as the default and that its okay to take time off and come back to it. In that case, its best to talk with mentors and her advice to make sure that you lay the foundation such that you could come back. And if you apply and dont get in, dont take it personally.

Part of the reason I was so successful in graduate school was because I came in knowing I wanted to go to graduate school and treated it like a job, she says. Graduate school can be long and, at times, frustrating, so for her, the time between undergrad and grad school proved to be immensely valuable. Her time away helped her in taking stock of priorities and helping to get through the drudgery of graduate school.

To hear more about studying the edges of our observable universe, tune into Dr. Bezansons Plenary Lecture at 8:00 AM CT on Monday, June 10th at #AAS244!

Edited by: Sowkhya Shanbhog

Featured Image Credit: AAS

See the original post here:

Meet the AAS Keynote Speakers: Dr. Rachel Bezanson - Astrobites

Meet the AAS Keynote Speakers: Dr. Robert Hurt – Astrobites

In this series of posts, we sit down with a few of the keynote speakers of the 244th AAS meeting to learn more about them and their research. You can see a full schedule of their talks here and read our other interviews here!

Have you ever wondered about the breathtaking images from space? Astronomy offers some of the most visually stunning datasets in all of science, but theres a lot more to the field than just breathtaking multi-wavelength images. A whole universe of complex concepts and intricate stories needs to be visualized and understood. Dr. Robert Hurt is tackling these exciting challenges head-on.

Trained as an astronomer, Dr. Hurt now tackles the universe as an Astrovizicist (short for astro-visualizer) at Caltech/IPAC. He firmly believes in the power of outreach and its vital role in the astronomy community. Dr. Hurt has combined his passions for astronomy, education, photography, art, and computer graphics to craft the visual public image of the Spitzer Space Telescope.

The work Dr. Hurt and his team have done for various missions has been featured in a wide range of print media, including National Geographic (NatGeo), Science, Nature, Sky & Telescope, Astronomy, and newspapers worldwide. His images and animations have appeared in numerous science documentaries, such as The Universe (History Channel) and The Known Universe (NatGeo), as well as on national news networks. Some of his imagery has even been used in television shows like Star Trek Voyager, Battlestar Galactica, and Stargate.

Data alone isnt always sufficient. Dr. Hurt and his colleagues at Infrared Processing and Analysis Center (IPAC) and Jet Propulsion Laboratory (JPL) are developing processes to create illustrations that are not only meaningful and helpful but also compelling and engaging. Its all about communication, he says. Artists, scientists, and communications officers must talk to each other, working collaboratively rather than in the traditional, sequential manner still standard in many places.

NASAs Universe of Learning backs Dr. Hurts efforts. This science activation project brings together IPAC, JPL, Space Telescope Science Institute (STScI), and the Harvard-Smithsonian Center for Astrophysics. Hes on a mission to foster a community of practice for astrophysical visualizers. Theyve got a Google Group (you can join here), regular online events (check out their YouTube channel for recorded meetings), and have been hosting workshops at the winter AAS meetings for the past few years.

Dr. Hurt thinks this is a crucial skill for all astronomers to learn. It is important to communicate what you are doing clearly and expressively, he says, encouraging more early-career scientists to incorporate visualization into their work or outreach efforts. Hes witnessed outreach evolve from a niche, often frowned upon activity done by a few enthusiasts to a widely recognized and essential aspect of the profession, especially among young scientists.

Another one of Dr. Hurts passion projects is maintaining a website called Astropix. This public image library features stunning and impactful illustrations from all major surveys, complete with necessary metadata that is often lost when using Google search and finding low-resolution thumbnails instead. In astronomy visualization, this metadata is similar to photography metadata but includes additional fields specific to astrophysics, like its position in the sky and color table that lists the observations and the respective wavelengths that have gone into making that image.

Dr. Hurt has been developing metadata standards for astronomy images, specifically the Astronomy Visualization Metadata (AVM), which can also be utilized in planetariums. Data to Dome is a related standard based on AVM and is now compatible with planetarium software. This allows presenters to seamlessly integrate live feeds of images into their presentations, placing them accurately in the sky.

These standards also work with tools like AAS Worldwide Telescope, one of the first supporters of this initiative. This integration lets users drop images directly into the screen through Digital Sky Survey (DSS) and see their precise location and context in the sky. Many passionate individuals are dedicated to advancing this work, enhancing the tools and methods available for astronomy visualization.

I never intended to end up here! Dr. Hurt exclaimed when asked about his journey into this unique field. His love for art began early, with an airbrush gift from his dad that he used to paint nebulae. After earning a Physics degree from UNC Chapel Hill, he moved to Los Angeles for graduate school at UCLA. Art remained his stress relief throughout his studies.

During his postdoc, he played with Photoshop, finding solace in the convenience of digital artwork over traditional ones! He also experienced the realities of a tenure-track position through his first postdoctoral advisor, Mary Barsony, realizing that the additional institutional burdens (especially grant writing) werent for him. For his second postdoc, he sought opportunities at Caltechs IPAC, where he occasionally helped colleagues create posters and animations for press releases. This is where he discovered his passion for science communication.

He then joined the 2MASS team. I really owe a lot to Mike Skrutski, the PI of 2MASS, he says, who encouraged him to pursue more visualization work to support the project after seeing his posters. Following this, he transitioned to a full-time role as a visualization scientist with Spitzer.

Dr. Hurt often talks to early career scientists at workshops who express frustration because their advisors discourage them from learning anything beyond processing data for papers. He believes these broader skill sets are crucial for effective communication within the scientific community. Its important for researchers to understand that these ancillary skills can be just as critical in their day-to-day work, he emphasizes.

Moreover, Dr. Hurt highlights the practical necessity of developing a diverse skill set. With a limited number of tenured faculty positions available, he advises students to cultivate additional skills that can open doors to different career paths. These other skill sets are also the things that people can use to branch into different directions, he notes, stressing that such pursuits are essential for personal growth and professional flexibility.

Reflecting on his career, Dr. Hurt shares his pivotal decision: choosing a second postdoc that allowed him to branch into science support. He encourages students to remain open to all opportunities and to pursue their passions outside of research with the same dedication they apply to their scientific work. I never knew that the things I was doing for fun would turn into my portfolio when I was offered this position for Spitzer, he says. Pursuing diverse interests can set you apart from others.

To hear more about Astro-visualization and why data alone isnt enough, tune into Dr. Hurtss Plenary Lecture at 11:40 AM CT on Wednesday, June 12 at #AAS244!

Edited by: Jessie Thwaites

Featured Image Credit: AAS

Read this article:

Meet the AAS Keynote Speakers: Dr. Robert Hurt - Astrobites

First Detection of Magnetism in Massive Stars Beyond Our Galaxy – SciTechDaily

Magnetic fields have been detected for the first time in three massive stars in the Large and Small Magellanic Clouds. This discovery is significant as it offers insights into the role of magnetism in star formation and evolution, particularly in galaxies with young stellar populations. Credit: SciTechDaily.com

New findings reveal magnetic fields in three massive stars in the Magellanic Clouds, shedding light on the influence of magnetism on stellar evolution and the formation of neutron stars and black holes. The use of advanced spectropolarimetry techniques was crucial to overcome past observational challenges.

Magnetic fields have been discovered in three massive, hot stars within our neighboring galaxies, the Large and Small Magellanic Clouds, for the first time. Although magnetic fields in massive stars are not new to our own galaxy, their detection in the Magellanic Clouds is particularly significant due to the abundance of young, massive stars in these galaxies. This discovery offers a rare chance to investigate actively forming stars and explore the maximum mass a star can achieve while maintaining stability.

Notably, magnetism is considered to be a key component in massive star evolution, with a far-reaching impact on their ultimate fate. Its the massive stars with initially more than eight solar masses that leave behind neutron stars and black holes by the end of their evolution. Spectacular merging events of such compact remnant systems have been observed by gravitational wave observatories. Furthermore, theoretical studies propose a magnetic mechanism for the explosion of massive stars, relevant for gamma-ray bursts, x-ray flashes and supernovae.

Studies of magnetic fields in massive stars in galaxies with young stellar populations provide crucial information on the role of magnetic fields in star formation in the early Universe with star-forming gas not polluted by metals, says Dr. Swetlana Hubrig, from the Leibniz Institute for Astrophysics Potsdam (AIP) and first author of the study.

Most massive star-forming region NGC346 in the Small Magellanic Cloud in the constellation Toucan in the southern starry sky located some 200,000 light years away from Earth. Credit: NASA, ESA, Andi James (STScI)

Stellar magnetic fields are measured using spectropolarimetry. For this circularly polarised starlight is recorded and the smallest changes in spectral lines are investigated. However, in order to achieve the necessary accuracy of the polarization measurements, this method requires high-quality data.

The method is extremely hungry for photons. This is a special challenge because even the brightest massive stars, which have more than eight solar masses, are relatively light-poor when observed in our neighboring galaxies, the Large and the Small Magellanic Clouds, as Dr. Silva Jrvinen from the AIP explains.

Because of these conditions, conventional high-resolution spectropolarimeters and smaller telescopes are unsuitable for such investigations. Therefore, the low-resolution spectropolarimeter FORS2 was used, which is mounted on one of the four 8-meter telescopes of the Very Large Telescope (VLT) of the European Southern Observatory (ESO).

Previous attempts to detect magnetic fields in massive stars outside our galaxy were unsuccessful. These measurements are complex and depend on several factors. The magnetic field that is measured with circular polarization is called the longitudinal magnetic field, and it corresponds exclusively to the field component that points in the direction of the observer. It is similar to the light coming from a lighthouse, which is easy to see when the beam shines towards the observer.

Because the magnetic field structure in massive stars is usually characterized by a global dipole with the axis inclined to the rotation axis, the strength of the longitudinal magnetic field can be zero at rotation phases when the observer is looking directly at the magnetic equator of the rotating star. The detectability of the polarization signal also depends on the number of spectral features used to investigate the polarization. The observation of a broader spectral region with a larger number of spectral features is preferable. In addition, longer exposure times are crucial for recording polarimetric spectra with a sufficiently high signal-to-noise ratio.

Taking these important factors into account, the team carried out spectropolarimetric observations of five massive stars in the Magellanic Clouds. In two presumably single stars with spectral characteristics typical for magnetic massive stars in our own galaxy and in one actively interacting massive binary system (Cl*NGC346 SSN7) located within the core of the most massive star-forming region NGC346 in the Small Magellanic Cloud, they succeeded to detect magnetic fields of the order of kiloGauss. On our Suns surface, such strong magnetic fields can only be detected in small highly magnetized regions the sunspots.

The reported magnetic field detections in the Magellanic Clouds present the first indication that massive star formation proceeds in galaxies with young stellar populations in a similar way as in our galaxy.

More here:

First Detection of Magnetism in Massive Stars Beyond Our Galaxy - SciTechDaily

From the Big Bang to black holes: Vatican, scientists to explore questions of the universe – Catholic World Report

Rome Newsroom, Jun 11, 2024 / 13:45 pm (CNA).

In 1931, when astrophysicist Father Georges Lematre proposed the Big Bang theory the idea that the universe expanded from the massive explosion of a primordial atom some scientists hated it, because it was too religious, according to Jesuit Brother Guy Consolmagno.

A lot of people said, Oh, youre just trying to reproduce Genesis, Consolmagno, director of the Vatican Observatory, said in comments to EWTN News on June 11.

In recently recovered footage of a 1964 interview, Lematre explains that the theory of the expansion of the universe was not accepted at first because it made the idea of a creation necessary.

Consolmagno added that [Lematre] was very careful to say [the Big Bang] is not the same thing as the creation in Scripture. Its our best description of what happens after that creation.

Dozens of astrophysicists and cosmologists will explore the Big Bang and other topics of the universe next week at a conference hosted by the Vatican Observatory in Castel Gandolfo, Italy.

Titled Black Holes, Gravitational Waves, and Space-Time Singularities, the June 1721 workshop is the second international conference in celebration of the legacy of Lematre, who is called the father of the Big Bang theory.

The Big Bang is our best understanding today of what happened once the universe had been created, Consolmagno said at a June 11 press conference at the Vatican.

But perhaps the result of meetings like this [will be that] next year, or in a hundred years, or in a thousands years time, we may find a theory better than that.

What the creation point in Genesis describes is the creation of the laws of physics themselves, the laws we are still attempting to discover, he added.

While the Big Bang theory was originally received with skepticism by the scientific community, there was no great opposition from the Church, Consolmagno said.

Ironically, the pope was too enthusiastic, he continued. In 1951, [Pope Pius XII] had an audience with the Pontifical Academy of Sciences and, in passing, said, essentially, Isnt it wonderful that scientists are talking about the beginning of the universe? But we could have told them that. And when Lematre heard that he said, No, you cant make that conflation.

Emphasizing that science and religious belief are not opposed, Consolmagno and conference organizer Jesuit Father Gabriele Gionti said there is a very good accord between scientists and those who work at the Vatican Observatory.

They feel more able to speak freely at the Vatican Observatory, Gionti said.

A practical reason for the respect, Consolmagno said, is because we do not compete with them for positions or for money This, as Father Gionti said, makes us a neutral ground, where they can come, in a beautiful setting in Castel Gandolfo, and know that we dont have an agenda.

According to organizers, 40 scientists will participate in the conference in person, and another 150 will join online. Conference attendees expect to have an audience with Pope Francis during the week if the pontiffs schedule allows.

Fabio Scardigli, a theoretical physicist from Italy who helped organize the conference in Castel Gandolfo, said they have assembled a dream team of scientists and thinkers from two different communities: cosmology and astrophysics.

Hopefully, he said, through open discussion and debate, there can be a small step forward in bringing these two groups into dialogue.

Father Matteo Galaverni, a cosmologist of the Vatican Observatory, said they want the conference to bring forth new points of view and to create a healthy optimism for those who believe in research.

Consolmagno referenced the opening of St. John Paul IIs encyclical Fides et Ratio (Faith and Reason), in which the pope says that faith and reason are the two wings that bring us to the truth.

That image, the brother said, reminds us that faith is not the goal, reason is not the goal, the Church is not the goal, science is not the goal. Truth is the goal. And for those of us who believe that God is truth, then exploring the truth brings us closer to God.

Cosmologists, he added, are so aware of how much we do not know that there is a great openness to the need to accept a way of addressing the fundamental question from [the philosopher Gottfried Wilhelm] Leibniz: Why is there something instead of nothing?

If you value the news and views Catholic World Report provides, please consider donating to support our efforts. Your contribution will help us continue to make CWR available to all readers worldwide for free, without a subscription. Thank you for your generosity!

Click here for more information on donating to CWR. Click here to sign up for our newsletter.

Read the rest here:

From the Big Bang to black holes: Vatican, scientists to explore questions of the universe - Catholic World Report

Aging and putative frailty biomarkers are altered by spaceflight | Scientific Reports – Nature.com

Multiple frailty related biomarkers are differentially expressed in rodent muscles during spaceflight

To determine the impact of frailty during spaceflight, we constructed, based on previous literature19,20,21,22, a list of putative frailty biomarker genes for humans and mice (Supplementary Data 1). Mouse (OSD-21, 99, 101, 103, 104, 105) datasets from OSDR were analyzed to identify differentially expressed genes (DEGs) in flight versus control condition with a statistical cut-off of adjusted p-value<0.5. In mice, altered expression of frailty-related genes in the following tissues were identified: gastrocnemius (34 genes in OSD-21 and 8 genes in OSD-101); extensor digitorum longus (EDL) (45 genes in OSD-99); quadriceps (26 genes in OSD-101); soleus (36 genes in OSD-104); tibialis anterior (32 genes in OSD-105) (Fig.2A). A maximum number of four frailty-related genes was also found to be unique to each tissue type and a maximum number of 4 was common between the different datasets (Supplementary Data 2). Hierarchical clustering of the overlapping gene expression across muscle types revealed a bias towards the up-regulation of frailty-related genes (Fig.2B). As an example, the extensor digitorum longus had several upregulated genes (EGLN3, PTGS2, VDR, FREM2, KRT18, BCL2L1, LGALS3, CXCL10, CX3CL1, FNDC5, TGFB1, CAN, and PPARGC1A). Whereas the soleus (OSD-104) had relatively few downregulated genes (GDF15, PTGS2, BDNF, PAX5, CX3CL1, FNDC5, VCAN, CALU, and SESN2).

Frailty-related biomarkers are differentially expressed in rodent muscles during spaceflight. Putative frailty linked genes from NASA Open Science Data Repository (former GeneLab). The transcriptomic signature of spaceflight is investigated with differential expression analysis in multiple tissues. (A) Upset plots of overlapping differentially expressed frailty genes in rodent and human samples. (B) Heatmap of differential expression analysis for the frailty gene in human and rodent samples. Rodent samples comprise spaceflight skeletal muscle. Heatmap considers only DEG with adjustedp-value<0.5. Black color indicates no value.

To determine overall frailty impact of spaceflight on tissues Gene Set Enrichment Analysis (GSEA)23 analysis was performed on specific aging-related pathways (selected from the Molecular Signatures Database (MSigDB)23 (Supplementary Data 3). Rodent datasets showed a general enrichment of the pathways with an overall upregulation in EDL and tibialis anterior, downregulation in quadriceps, and a mixed regulation in gastrocnemius soleus (Fig. 3A,B). Summary themes of each functional cluster are displayed by the external color panel at the right side of sub-figure B and C. Despite a mixed direction of regulation, a clear enrichment of these pathways in the spaceflight group when compared to the control was evident across the datasets. The soleus muscle revealed an increase in the innate immune response inflammatory signature and concomitant downregulation of the IGF-1 pathway (Fig.3B). Previous literature showed that the soleus muscle is the first to be impacted by spaceflight and also known to experience a significant dysregulation of mitochondrial and immune functions in space24. Immune response can downregulate IGF-1 anabolic activity, promoting muscle wasting16. Of note, this muscle shows the largest decline in mass in the RR1 mission and IGF-1 pathway might be involved25. Several putative aging-related pathways were enriched in human datasets (Fig.3C), showing up-regulation in the majority of cases. Of note, interferon alpha and gamma response pathways are upregulated in all the datasets investigated. The increase in immune and inflammatory signatures we identified is consistent with various reports that associate chronic inflammation with frailty, although causality has yet to be established8,26. Nonetheless, our results could be useful for biomarkers related to spaceflight risk and consistent with clinical correlations of increased low-grade inflammation and muscle wasting16.

Inflammatory response pathways are enriched in rodent muscles during spaceflight. The transcriptomic signature of spaceflight is investigated with gene set enrichment analysis (GSEA) for putative aging-related pathways in multiple tissues. (A) Percentage of the differentially expressed genes which are stable, increased or decreased in rodent samples. (B) and (C) Heatmap of the normalized enrichment score for the enriched aging-related pathways in rodents and human samples. The dark gray locations in the heatmap indicate missing values for the NES, resulting from off-range adjusted p-values (padj) of the analysis. The assumed range is padj<0.3.

Sarcopenia is a condition associated with frailty. In our analysis,the best predictors of sarcopenia were genesthat are part of autophagic and protein degradation processes. After studying databases from 118 people with and without sarcopenia (GSE111006, GSE111010, and GSE111016)27, 6,892 DEGs were identified by performing MannWhitney U tests28 on gene expression data for every single gene (i.e., 65,217 genes) in a pair-wise manner across samples from both sets of patients (Supplementary Data 4). A simple classifier (i.e., k-nearest neighbors) was then used to estimate individual predictive power for that condition29. Next, via co-expression network analysis upon these DEGs, the most highly correlated module (i.e., BROWN=0.93) to sarcopenia was found. We used a pathway and gene ontology analysis upon BROWN to curate a list of 21 genes that were significantly enriched in biological processes related to sarcopenia30.

Here, we found that the frailty biomarkers list was enriched in Biological Processes Gene Ontology (BP GO) terms in a very similar manner to those found with sarcopenic biomarkers alone (Fig.4A)29. In addition to BP GO, the same was true for molecular functions (MF) GO term enrichment (Fig.4C). Interestingly, we found that eight of the biomarkers identified for frailty had the ability to predict sarcopenia in GSE111006, GSE111010, and GSE111016 with a Mean Accuracy Score (MAS) of>0.65 (RP1L1, SH3GL3, HIF1A, FGF23, FASLG, MAS1, PAX5, and REV1) (Fig.4B,D).

Evidence of shared catabolic pathways between sarcopenia and frailty markers and their differential expression in space-flown mice. (A) Significantly enriched Biological Processes using a curated biomarker gene list obtained by the overlap of three gene sets studying sarcopenia (superseries GSE111017: GSE111006, GSE111010, and GSE111016) defined through a Mann- Whitney analysis. (B) The frailty biomarkers found to be part of ten GO Biological Processes terms, from which R1PL1 had the highest Mean Accuracy Score (MAS) score. (C) Significantly enriched Molecular Functions using a curated biomarker gene list. (D) Similarly, three GO Molecular Function terms were found to be a shared pathway with the defined frailty biomarkers from which SH3GL3 had the highest MAS score. (E) Schematic of the data utilized for the heatmap showing the four genes out of the 21 sarcopenia frailty genes that were present in the murine data sets. Heatmap considers only DEG with p<0.05.

Using the sarcopenia gene expression classifier we hadestablished above, we re-examined the existing datasets for alterations in the 21 genes. To do so, we took the expression data from the murine datasets (EDL (ODS-99), left gastrocnemius (ODS-101), quadriceps (ODS-103), soleus (ODS-104), and tibialis anterior (ODS-105)) and evaluated the expression of our sarcopenia classifier (Fig.4E). We found that only GJB4, HNRNPCL1, GOLGA2 and POMC were DEGs in at least one of the datasets. GJB4 is a connexin (Cx) gene encoding the gap junction protein CX30.331. HNRNPCL1 plays a role in consolidating the nucleosome and neutralizing core hnRNPs proteins32. GOLGA2 encodes the GM130 protein necessary for the assembly of the Golgi apparatus. Interestingly, mutations in GOLGA2 lead to neuromuscular disorders and muscular dystrophy33. POMC codes for the precursor protein proopiomelanocortin producing active peptides generating melanocyte stimulating hormones (MSHs), corticotropin (ACTH) and -endorphin. POMC deficiency leads to adrenal failure and obesity34. Of note, the dataset from the soleus muscle in mice (OSD-104), demonstrated to have a significant overexpression of GJB4, POMC and significant downregulation of HNRNPC (p<0.05).

We applied the same list of putative frailty biomarker genes (Supplementary Data 1) to investigate differentially expressed genes in Open Science Datasets human samples as in Fig.2. OSD-52 and 195 were analyzed to identify differentially expressed genes (DEGs) in flight, on random positioning machine or in bed rest versus control condition with a statistical cut-off of adjusted p-value<0.5. Vastus lateralis muscle (OSD-52), cardiac progenitors (OSD-127) and endothelial cells (OSD-195) showed 22, 2 and 4 frailty-related genes, respectively (Fig.5A).

Frailty-related biomarkers are differentially expressed in humans during spaceflight and ground-based spaceflight simulated conditions. Putative frailty linked genes from NASA Open Science Data Repository (former GeneLab). The transcriptomic signature of spaceflight is investigated with differential expression analysis in multiple tissues. (A) Upset plot of overlapping differentially expressed frailty genes in human samples. (B) Venn diagram of differentially expressed frailty genes in rodent and human samples shows the common differentially expressed genes between the two species. (C) Heatmap of differential expression analysis for the frailty gene in human samples. Human samples comprise spaceflight human umbilical vein endothelial cells, bed rest skeletal muscle cells and cardiac progenitors differentiated from human pluripotent stem cells in 3D culture under simulated microgravity. Heatmap considers only DEG with adjustedp-value<0.5. Black color indicates no value.

We compared the differential expression profiles between mice and human dataset. Approximately a third of the frailty genes were conserved between humans and mice, which suggests that the murine models can provide good translation to human biology (Fig.5B). Out of 73 differentially expressed frailty-related genes, 22 (32%) were common in humans and mice (Fig.5B). Forty-three (62%) were unique to mice and 4 (6%) were unique to only humans. In humans, 9 frailty genes were upregulated and 13were downregulated in the vastus lateralis muscle (Fig.5C and Supplementary Data 2).

Several downregulated genes were associated with immunity-related pathways, while most upregulated genes were associated with metabolism and Vitamin K or D pathways. In endothelial cells, two genes were downregulated, and two were upregulated. The downregulated genes, TMEM245 and PPARGC1A, are associated with the cell-membrane and gluconeogenesis, while the upregulated genes, MSTN and PTGS2, are associated with regulation of skeletal muscle growth and prostaglandin biosynthesis (Supplementary Data 5)35. While there is no direct link between gluconeogenesis and frailty, both are related to the body's response to stress and maintaining homeostasis. Diabetes, a condition that affects glucose metabolism, has been linked to frailty36,37. In diabetes, the body's ability to regulate blood glucose levels is impaired, potentially impacting gluconeogenesis. Frail individuals, who have a diminished ability to resist stressors, may be more susceptible to the effects of these metabolic imbalances38.

Having confirmed altered aging and frailty signatures in largely rodent transcriptomic data, we wanted to test if frailty biomarkers were also altered in astronauts. To enable this analysis, we used two recent studies39. First, using astronaut data from JAXA plasma cell-free RNA profiling study, we examined the changes occurring in RNAs from the frailty biomarker genes between pre-flight, in-flight, and post-flight (i.e., afterreturn to Earth) (Fig.6). Our RNA analysis reveals a global response of frailty-related gene expression to the space environment, which is characterized by in-flight and post-flight expression changes. Most of the genes investigated were subject to changes when compared to pre-flight conditions, either during spaceflight or later after return to Earth. A large number of genes that were reduced during spaceflight showed an increase after re-entry (e.g., AKT1, NOS2, FGF23, and HIF3A). Conversely, several genes show an opposite behavior and tended to be reduced during spaceflight, and underwent reduction after re-entry (e.g., TGFB1, B2M, NOS1, AOC1, SOD2, SOD3, and OAZ1).

Frailty-related biomarkers are differentially expressed in astronauts exposed to 120-days of Low Earth Orbit Spaceflight. Putative frailty linked genes from JAXA Cell-Free Epigenome (CFE). Heatmap of the normalized plasma cell-free RNA expression values for the frailty genes over time for the six astronauts over 120days in space from JAXA study. The values shown are the averaged normalized expression values for all six astronauts for each time point during flight and post-flight. The three pre-flight time points were averaged together, since the changes for genes in the time leading up to flight are considered to be the same and part of the baseline values. For the time, L=Launch (i.e., meaning time after launch from Earth and the number indicates length in space) and R=Return to Earth.

Interestingly, cell-free RNAs from several genes (e.g,. FGF23, KRT18, AKT1, B2M, NOS1, AOC1, SOD2 and SOD3) did not return to the pre-flight baseline levels, even after 120days. The data suggest that space conditions alter the HIF1 pathway which stimulates the various molecular or cellular processes related to hypoxia-responsive genes such as HIF1A, HIF1AN, ARNT, ARNT2, NOS1, NOS2, NOTCH1 and RBX1, that are known to regulate a wide variety of cellular physiology including metabolic reprogramming, anti-apoptosis, migration, proliferation, amyloid production and prion stabilization40,41. An interesting observation emerging from the data is the increased cell-free RNA signature of HIF1A and HIF3A post-flight. Hypoxia Inducible Factor (HIF) is a key regulator of immune cell function42, and its dysregulation could alter immune response. We also observe an increase of RNAs derived from several nitric oxide (NO) related genes, which are biologic mediators in multiple processes, such as in neurotransmission and microbial and antitumoral activities. It is understood that nitric oxide (NO) is a key vasodilator in the cardiovascular system and its synthesis is catalyzed by the enzyme family nitric oxide synthases (NOS), neuronal (NOS1), inducible (NOS2) and endothelial synthases (NOS3)43. NOS1 and NOS2 are constitutively expressed by tubules of the human kidney, while NOS3 is expressed by endothelial cells and is implicated with the formation and maintenance of vascularized tissues. Furthermore, AKT1 plays a role in the signal transduction of growth factors, as well as in cell survival, cellular senescence, and aging. There is evidence that AKT signaling is associated with an imbalance of phosphatidylinositide 3-kinases that is altering the aged brain44. Chronic AKT activation intensified aging-induced cardiac hypertrophy in murine heart tissues45. In connection to phosphate intake, FGF23 is known to be secreted from the skeletal system and influence the kidneys through the klotho gene receptor36. The upregulation of HIF-related genes could be interpreted through findings from earlier studies which have implicated the HIF pathway with the impairment of energy-dependent cellular processes, and mutations in mitochondrial DNA which accelerate aging processes41,46.

Next, we used data from the first civilian commercial 3-day space mission (referred to as Inspiration4 (I4), to examine the impact of short-duration spaceflight on putative frailty biomarker transcriptomic signature47. From the I4 mission, single-cell gene expression data from peripheral blood mononuclear cells (PBMCs) were generated and compared across multiple timepoints (Fig.7A). Frailty genes were increased in PBMCs and subpopulations post-flight compared to pre-flight timepoints, and the percentage of the increased genes were higher than the percentage of differentially expressed genes (DEGs) (Fig.7B). The percentage of increased frailty genes was the highest in PBMCs, lowest in dendritic cells (DCs), and similar in the remaining subpopulations (Fig.7B). Generally, the average expression and percentage of expression of the increased genes were increased at R+1 compared to pre-flights (L-92, L-44, L-3) and returned to baseline over time (Fig.7C). For example, severalgenes were upregulated in various pathways at R+1 compared to pre-flight and reverted to baseline over time. Implicated pathways include: immunity (ARG2, PPARD), EGFR trafficking (ATXN2), regulators of apoptosis (BCL2L1, FAS), survival factor for neuronal cell types (CNTF), cellcell signaling (JAG1), metabolism (PPARD), DNA repair (REV1), neuronal excitability and synaptic transmission (SNX14), structural component of sarcomeric Z-line (TMEM245) and cell cycle regulation (TP53) (Fig.7C).

Frailty-related biomarkers are differentially expressed in astronauts exposed to 3-days of Low Earth Orbit Spaceflight. Frailty linked genes from Inspiration4 (i4) human peripheral blood mononuclear cells (PBMCs). (A) Schematic of the i4 experiments and the samples utilized for this analysis. (B) The overall percentage of up (i.e., increased), down (i.e., decreased), and no change (i.e., stable) expressed frailty genes in the i4 data (top plot) compared the overall gene distribution (bottom plot). (C) Dot plot of the single cell RNA expression for the frailty genes over time for the 4 astronauts over 3days in space from the i4 civilian crew mission. The image shows the differential expression values for each cell type in analysis. The values are based on expression for each time point before-flight and post-flight. However, data from samples collected just after reentry (R+1) is considered spaceflight condition. For the time, L=Launch, R=Return to Earth, the number+n is the time (in days) after L or R.

Having found alterations in gene expression associated with aging and frailty and knowing that biologic systems are dynamic, we used a subset of the gene expression to examine dynamic changes in metabolism. We applied our updated, context-specific, metabolic models that performed custom-made flux balance analysis (FBA) simulations. Here, we used two different transcriptional changes (RNA-seq) between flight and ground (OSD-91 (GSE65943) for cultured human TK6 lymphoblastoid cells; and OSD-127 (E-GEOD-84582) for cardiomyocytes from human pluripotent stem cells) (Fig.8).

Metabolic flux simulation analysis on OSD-91 and OSD-127. (A) and (B) Overview of carbohydrate metabolism illustrated by custom-made Escher [81] for OSD-91 and OSD-127, respectively. The associated pathways (i.e., TCA Cycle, Glycolysis, Pentose phosphate pathway, Pyruvate metabolism) whose metabolic reactions with relative activations are demonstrated. The red color presents the upregulated metabolic fluxes in flight and the blue color represents the downregulated fluxes. (C) and (D) Heatmaps showing relative metabolic flux rates (rows) versus human samples (columns) for OSD-91 and OSD-127, respectively. Only particular pathways demonstrating significant alteration of metabolic flux rates are listed, where the blue to yellow heatmap color scales indicate row-wise Z-scores for those flux rates. The leftmost bar represents differential testing results between Flight and Ground in p values<0.05 (black) or p values between 0.05 and 0.1 (gray) through the Van Der Waerden test. Genes in the boxes are enzymes showing significantly different expressions for their corresponding reactions.

In TK6 lymphoblastoid cells, microgravity led to transcriptional changes through altered methylation patterns. These transcriptional changes, in turn, altered the oxidative stress and carbohydrate metabolism pathways48. However, the flux simulation analysis showed that other pathways associated with lipid metabolism, fatty acid oxidation, fatty acid synthesis, and bile acid synthesis, are downregulated during flight. While chondroitin sulfate degradation, nucleotide interconversion, and peroxisomal transport are upregulated. Considering the carbohydrate metabolism aspect of the flux simulation analysis, only pyruvate metabolism (end product of glycolysis) showed significantly altered expression in microgravity (Figs. 8A,C).

By contrast, the other metabolic flux simulation displayed marked up-regulation during flight in lipid metabolism associated pathways: fatty acid oxidation, fatty acid synthesis, and glycerophospholipid metabolism (Figs. 8B,D). The cells also exhibited increased galactose metabolism, nucleotide interconversion, Coenzyme A (CoA) synthesis, glutathione metabolism, as well as pentose phosphate pathway in carbohydrate metabolism. The only significant downregulation in microgravity was detected in folate metabolism. This cardiomyocyte study (using 3D tissue engineering of cardiac progenitors from human pluripotent stem cells) found increased gene expression levels associated with growth, development, and survival for cardiac progenitors in microgravity49.

Originally posted here:

Aging and putative frailty biomarkers are altered by spaceflight | Scientific Reports - Nature.com

Astronaut omics and the impact of space on the human body at scale – Nature.com

Humanity may be on the brink of establishing a new era of interplanetary space exploration that would witness crewed missions beyond low-Earth orbit (LEO) and a growing commercial spaceflight sector that would prompt a wider health range of individuals entering space compared to the selective cohorts of distinctively fit professional astronauts from previous generations. Numerous space organizations across the globe openly aspire toward landing humans on Mars in the coming decades, underscoring an overall international interest in what may be the next stage of human space exploration. Prominent examples include the SpaceX Mars program striving to initiate the first crewed Mars spaceflights in the late 2020s; the state-owned China Academy of Launch Vehicle Technology announcing the countrys goals to place humans on Mars in 2033; NASA (National Aeronautics and Space Administration, the United States space agency) issuing the Authorization Act of 2017, which declares objectives to send humanity to Mars in the early 2030s; Roscosmos (the Russian space agency) publishing aims to send humans to Mars in the early 2040s; and the United Arab Emirates publishing the Mars 2117 Project, which outlines a one-hundred-year plan to construct habitable communities for humans on Mars. Thus, there is a motive for scientists across the world to study how the human body responds to spaceflight and to develop countermeasures that improve the health and safety of crewed interplanetary missions.

Since the inception of human spaceflight, the duration that astronauts spend in space each mission has increased over time (Fig.1A). Despite this, to date, only eleven individuals have resided in space for more than 300 consecutive days. Pioneering crewed missions to Mars would see humans embarking through space for even longer consecutive periods of time and in radiation environments for which there is limited knowledge about the impact on human physiology, warranting improvements in the autonomous space telehealth field. The risk of an emergency medical occurrence during space missions has previously been estimated at approximately 0.06 per person-year, which roughly equates to one event every 2.4 years for a crew of seven1. Multiyear planetary missions would prevent resupply and medical evacuation options and hence would require fully autonomous telehealth and triage protocols.

A Violin plots showing the average time a given astronaut spends in space per mission (calculated as total time in space divided by number of missions) compared to the decade the astronaut first went into space. Astronauts are colored by the number of missions they have been on, and shapes represent astronaut sex (females are triangles and males are circles). The average time spent in space ranged from minutes to one month in the 1960s, and from one day to under six months in the 1970s. In the 1980s through 2000s, the majority of astronauts spent an average of between one week and one month in space per mission, but many astronauts spent more than three months in space. Subsequently, in the 2010s, the majority of astronauts spent an average of over three months in space per mission, whereas in the early 2020s, there was the widest distribution of average time in space, ranging from ten minutes to six months. B The number of astronauts who have been in space by nationality. Bar plot shows the number of astronauts by the year of their first mission whereas the pie chart shows the percentage of each nations contribution. Nations with only one astronaut to ever go to space are colored green (4%), nations with only between two and five astronauts to go to space are colored lime green (3%), and astronauts with multiple nationalities are colored yellow (1%). Data was scraped from supercluster.com on September 20th, 2021. Only astronauts who spent time in space and crossed the Krmn line are displayed.

Various applications of artificial intelligence and molecular omics could likely advance the spaceflight telehealth field. Omics technologies allow for the quantification of large pools of biomolecules that influence the integrity and function of biology. Exploratory and untargeted omics techniques can measure analytes that are not predetermined. These studies can identify patterns of variance, which can generate new hypotheses. Additionally, integrating omics with metadata, including environmental and phenotypic measures, enhances the ability to establish robust links between environmental influences, omic variations, and phenotypic outcomes2. The NASA Twins Study integrated various omics platforms, including transcriptomics, epigenomics, metabolomics, and metagenomics, and highlighted omics as a potential biomedical research platform that may one day translate into the development of precision spaceflight healthcare3. The ambitious project discovered more than 8600 differentially expressed genes (DEGs) between an astronaut who resided for almost one year on the International Space Station (ISS) and their identical twin who resided on Earth; it is possible that any permutation of the DEG list could uncover biochemical pathways that hold keys to the development of therapeutic supplements and lifestyle recommendations that better protect health in space3,4. In this paper, we will consider how the dawn of diversified human exploration of deeper space may benefit from sophisticated advances in spaceflight nutrition and health that may be met in part with the addition of routine standardized omics.

Space omics efforts are now underway in multiple regions. In Japan, the Living in Space Grant-in-Aid for Scientific Research (KAKENHI) program uncovers biological responses to the space environment at various levels, ranging from environmental microbiomes to stress responses in humans, using omics technologies. In Europe, the Space Omics Topical Team (TT) supports and generates omics approaches to space biology5, and there are visible efforts to promote further development of space omics research among ESA and ESA state members6. In the United States, examples of space omics-related campaigns include the Precision Health Initiative and Systems Biology Translational Project through the NASA Human Research Program (HRP) and the Complement of Integrated Protocols for Human Exploration Research (CIPHER) project (Human Research Program Update, WH Paloski, Committee on Biological and Physical Sciences in Space (CBPSS) Virtual Fall Committee Meeting). The NASA GeneLab initiative provides an open access, collaborative analysis platform for space omics data collected across the world and unites international efforts through analysis working groups7. Canada operates terrestrial platforms to analyze human omics linked with biomedical data8, and the Canadian Space Agency (CSA) has announced plans for national space omics research, in addition to already participating in international space omics projects. China and Russia are also publishing human space omics research9,10.

Humans in spaceflight historically represented nations like the United Socialist Soviet Republic and the United States to a large degree (Fig.1B). After the first couple of decades of human spaceflight, nations like Canada, China, France, Germany, Italy, Japan, and Russia have also been represented to a moderate degree (Fig.1B). Individuals who have entered space now represent, even if in smaller numbers, more than thirty other nations: Afghanistan, Antigua and Barbuda, Australia, Austria, Belgium, Brazil, Bulgaria, Cuba, Czechoslovakia, Denmark, Egypt, Hungary, India, Iran, Israel, Kazakhstan, Malaysia, Mexico, Mongolia, Netherlands, Pakistan, Poland, Portugal, Romania, Saudi Arabia, Slovakia, South Africa, South Korea, Spain, Sweden, Switzerland, Syria, Ukraine, United Arab Emirates, United Kingdom, and Vietnam.

The Artemis program plans to soon reestablish a human presence on the Moon, for the first time in five decades, and construct a permanent lunar base to facilitate the future of human missions to Mars. Led by NASA and partner agencies JAXA, ESA, and CSA, the Artemis program includes signatories from about thirty countries and territories, reflecting on the theme of a more global human presence in space. Indeed, crewed missions to Mars would motivate philosophical thinking about humanitys place in the universe, common to all humans. Many people believe such missions will only be enabled by worldwide collaboration due to the involvement of multiple countries and international organizations, the implications for many people across Earth, the sheer engineering demands, and the increasing global representation of space explorers11. Upcoming planetary missions will likely be multinational efforts, underscoring the need for global collaboration in regard to the science, culture, and ethics behind space exploration. A new age of human space omics may likewise require international input due to both the various cultural aspects and the added technological, ethical, and philosophical complexities of working with human subjects.

International Standards for Space Omics Processing (ISSOP) represents an international consortium of space omics scientists who formed after recognizing the need for standard guidelines in the emerging spaceflight omics discipline. ISSOP includes scientists with expertise across the full range of omics approaches who receive funding from academia, industry, and government agencies across a wide array of regions, including Japan, India, the Middle East, Canada, Europe, Russia, and the United States. By promoting communication exchange in the space omics discipline, ISSOP may be uniquely positioned to support the development of an informed framework early on that can help maximize scientific discovery and minimize ethical problems for an upcoming era of human space omics.

In this paper, we consider how a future of precision space healthcare could improve the safety of human health during long-term spaceflight. We then discuss how careful standardization of space omics data is one component that may help implement this goal. To this end, we propose the development of a human cell atlas under spaceflight environmental conditions that could assist as an openly available, global resource for foundational space life science research. We then consider the complex ethical, cultural, and legal challenges intrinsic to the general discipline of human space omics, and how philosophical frameworks would likely need to be established with perspectives from international ethicists.

In the coming years, the spaceflight field will likely observe diversification of the flying population, extended mission durations, and exposure to harsher radiation beyond LEO. These factors motivate an upgraded space healthcare model where nutritional, supplemental, and pharmaceutical decisions could be tailored to multiple characteristics12,13. On Earth, there are already applications of precision health, where healthcare is informed based on omics, environmental, and lifestyle factors14. It seems probable that as connections between omics and spaceflight health ailments are slowly elucidated, similar approaches could be implemented in space. The purpose of customizing spaceflight healthcare would not be to reduce spaceflight participation, but to promote the health of increasingly diverse participation that better reflects the sustained presence of the full inclusive range of humanity in space one day13.

Countermeasure protocols for space missions can consist of evidence-based nutritional supplements, exercise regimes, stress-relieving techniques, and pharmacological interventions15. Moving forward, crew profiles could potentially improve medical risk assessment and countermeasures; optimize medical and nutritional payloads; increase crew safety and efficiency; and maximize the likelihood of mission success. In the next section, we will explore examples of how astronaut health and performance can be impacted by omic differences related to the metabolism of drugs, micronutrients, and macronutrients. We focus on metabolism because changes in mitochondria, the key hub of metabolism, are a fundamental biological feature of spaceflight16.

We note that the provocative nature of the spaceflight environment may induce a large number of physiological and molecular changes on rapid time scales that may not necessarily be of health-related importance. As a result, scientists must cautiously avoid overassociating spaceflight omics changes with clinical meanings. Indeed, most human gene association studies on Earth are associative with many genome-wide association studies (GWAS) providing initial results that failed to hold up upon further testing. The risk of overinterpretation is particularly relevant in the field of human space omics given the small sample sizes and the small number of studies3; the difficulty of securing suitable ground controls, both in omics and environment3,17; and the long number of years required to replicate findings. These problems are further amplified when studying the long-term effects of spaceflight outside of LEO. We emphasize that the following section mostly presents early evidence and even contradictions due to the current limitations of the human space omics field, and that much more work would be needed in the coming decades to assess the validity of the below preliminary findings and interpretations.

Medical kits onboard the ISS contain pharmaceuticals to cover various medical events and emergencies, including injuries, illnesses, infections, sleep disruptions, motion sickness, and cognitive and behavioral health conditions18. Documentation of medication usage has not been consistent, but studies suggest about 94% of crew members used medications at least once during space shuttle missions19. Despite the common use of medications to manage health concerns on orbit, few studies have explored how to refine pharmaceutical applications in the unique environment of space. Preliminary evidence suggests that spaceflight may introduce impurity products, alter the physical appearance, and quicken the degradation of certain drugs before their expiration dates20,21. Although these investigations have been severely limited without adequate ground controls, they have underlined the need to verify if any spaceflight factors may affect pharmacokinetic and pharmacodynamic parameters that determine the pharmaceutical safety and efficacy, and the mechanisms responsible for these effects22,23. These factors might include the space environment itself (such as chronic low-dose radiation) and/or confounding extraneous factors (such as temperature, humidity, and dosage repackaging commonly used to meet the limited volume constraints on space vehicles)18,22,24.

Thorough metadata tabulation could eventually help unravel not only how to preserve drugs in space, but also how to better understand precision responses to such drugs. A recent pharmacogenetics study by the ESA demonstrated that allelic variation may influence the safety and effectiveness of how individual crew members metabolize drugs on the ISS. Researchers examined the 78 standard drugs permanently available on the ISS and found that the metabolism of 24 of them was significantly affected by individual variants in genetic polymorphism enzymes25. This discovery suggested that almost one-third of drugs on the ISS may warrant personal dose adjustments or alternative therapies for crew members who have allelic predispositions that can render them anywhere from poor metabolizers (with decreased drug clearance, increased plasma drug levels, and potential adverse drug response) to ultra-rapid metabolizers (with increased drug clearance, decreased plasma drug levels, and potential ineffective drug response). Populations throughout the world can have different frequencies of genetic polymorphism enzymes that affect drug metabolisms26; thus, pharmacogenetic screening of consenting astronauts from diverse backgrounds could better ensure equal representation27.

Personal astronaut drug-metabolism profiles could be generated based on the two reaction phases of drug biotransformation. The first drug biotransformation reaction produces a more water-soluble and less active metabolite usually through the hydroxylating enzyme superfamily known as Cytochrome P450 (CYP450). This enzyme superfamily is believed to account for 75% of total drug metabolism28. Indeed, CYPs have recently been suggested to be altered in flight due to alterations in insulin and estrogen signaling29. Several CYP450 genes are highly polymorphic, producing enzyme variants that cause variability in drug-metabolizing effects between groups. During mission planning, CYP450 genetic variant profiles for consenting astronauts could be generated and cross-referenced with mission drug lists to prevent scenarios in which crew members would otherwise metabolize drugs in harmful or inefficient ways13. The second drug biotransformation is usually a conjugation reaction wherein a small molecule binds to the drug metabolite and increases its solubility for excretion. For this situation, consenting astronauts could assess their pre-mission status of all nutrient cofactors and conjugation agents (such as glutathione, glycine, cysteine, arginine, and taurine) to inform their optimum conditions13.

One concrete example of how CYP allelic variants could inform treatments during space exploration relates to acute radiation sickness (ARS)30. ARS is an accepted risk on orbit, and common medications to treat its primary symptoms of nausea and vomiting include ondansetron and granisetron, which are both metabolized differently in the liver based on individual CYP genetic polymorphisms. Specifically, the CYP2D6 enzyme metabolizes ondansetron, and, hence, groups who are ultra-rapid metabolizers of the CYP2D6 pathway have a higher risk of still vomiting within one day of radiotherapy with ondansetron31. These groups may benefit from treating ARS with granisetron, which is instead metabolized by the CYP3A enzyme31. Another example of how CYP allelic variants could inform spaceflight therapies based on personal predispositions relates to sleep drugs, which are commonly used by crew. In fact, 78% of shuttle crew reported taking zolpidem and zaleplon, powerful sleep pills, for more than half of the nights of their missions32. CYP3A polymorphisms are known to affect zolpidem metabolism33, but not zaleplon metabolism25, and astronauts could use this knowledge to more safely tailor their sleep-related treatments.

It may also be meaningful to investigate optimal doses of medications that are more tailored to the demanding lifestyles of astronauts. For example, unlike many individuals on Earth, astronauts on the ISS are occasionally awakened by alarms during scheduled sleeping shifts in order to perform emergency tasks that require effective cognitive and psychomotor capabilities34. A study at NASA Johnson Space Center found that subjects who consumed a higher dose of zolpidem before sleep experienced significantly reduced cognitive and psychomotor performance during emergency awakenings; however, they found no similar impairments in subjects who consumed the lower dose of zolpidem, the dose of zaleplon, or the placebo before sleep onset34. Hence, even though the approved doses of zolpidem and zaleplon may be fit for most terrestrial applications, the unique duties during spaceflight may warrant adjusted recommended dosages of these, and possibly other, approved medications.

Even the metabolism of medications may be altered in spaceflight compared to on Earth. The kidneys, which play a major role in drug excretion, may reduce urine output during weightlessness35. The liver, which is the main organ that metabolizes drugs and xenobiotics, may also behave differently between terrestrial and spaceflight conditions, although results have been conflicting: While some studies have reported an increase in hepatic blood flow and size during spaceflight36, other studies have suggested a decrease in hepatic metabolism in space, which may roughly correspond to a decrease in hepatic blood flow due to the hypovolemia that occurs on orbit37. Clear elucidation of potential differences between drug metabolism in terrestrial versus orbital conditions will require further investigation, and any reliable findings could eventually be integrated for improved aerospace healthcare recommendations27.

Recent studies are elucidating tentative relationships between omics and micronutrient intake that may link to adverse health events in space. One key example of this is one-carbon metabolism, which involves the transfer of methyl groups from donors (such as folate, B12, choline, and betaine). We note that many of the donors are essential inputs that must be obtained from the diet. The enzymes that regulate one-carbon metabolism are produced from highly polymorphic methyltransferase genes; any possible ramifications for human spaceflight are only recently unfolding13.

As an example, spaceflight-associated neuro-ocular syndrome (SANS) is a unique and distinctive clinical manifestation. It includes optic disk edema (swelling), choroidal folds, and focal areas of ischemic retina (cotton wool spots). This disease is believed to present in over 20% of astronauts both during and after short and long duration spaceflight38. With no known terrestrial analogue, evidence-based countermeasures are only recently emerging; these include lower body negative pressure and nutritional supplementation39, the latter of which could be further refined through omics studies. Indeed, one research group examined 49 astronauts and discovered that common variations in one-carbon metabolism genes, combined with lower levels of vitamins B2, B6, and B9, appeared to be associated with SANS40,41.

In addition to poor neuro-ocular health, disordered one-carbon metabolism may play a role in bone fragility (with increased osteoclast activation and decreased osteoblast activity)13, hypertension (with increased intraocular pressure)42, and chromosome instability (with concurring folate deficiency increasing defective DNA repair)43. It is indicative that this single metabolic property may have wide-ranging impacts on some of the more perplexing health complications known to occur during spaceflight13. For these reasons, one-carbon metabolism is an example candidate for deeper research into a future precision space medicine approach.

There is likewise preliminary evidence that prolonged radiation exposure may interact with genetic polymorphisms that alter micronutrient metabolism, predisposing to disease in space. For example, there is precursory evidence suggesting that the space environment partially contributes to altered iron metabolism in astronauts44. Iron overload is believed to occur more often in individuals with allelic variants for hemochromatosis (HFE)45. Simultaneously, urinary magnesium (Mg) levels are reported to decrease during space missions, with a slight majority of post-spaceflight astronauts presenting with levels below minimum clinical guidelines46. Taken together, these provisional observations suggest that astronauts with HFE allelic variants may develop unusually high levels of iron when exposed to the space environment, which may induce oxidative stress and unstable DNA47. Given that Mg repairs DNA damage48, further research may be justified to examine whether convergent Mg deficiencies could complete a dangerous aggregation of risk events in a subset of astronauts who are susceptible to this array of environment, omics, and dietary intake parameters13. DNA stability is a leading human safety concern in space and hence it seems meaningful to investigate whether consenting individuals can benefit from optimizing any essential dietary inputs with relevance to DNA repair before, during, and after spaceflight based on precision risk profiles.

The supplementation of Vitamin D, another important micronutrient, is regularly integrated into spaceflight nutrition programs49. While Vitamin D is well-known for its influence on bone production, it impacts several more biological processes, including immune system modulation. Its effect on immunity seems to be mediated by the Vitamin D receptor (VDR), expressed by antigen-presenting cells and activated T cells50. Conversely, Vitamin D and VDR are necessary to maintain a healthy number of regulatory T cells51. Allelic variants of the VDR gene appear to be associated with better response to Vitamin D supplementation52, and allelic variants of genes (such as 7-Dehydrocholesterol reductase (DHCR7), a gene related to sterol metabolism) are believed to be related to improved Vitamin D metabolism and insulin resistance53. Therefore, poor Vitamin D status and metabolism of individuals during space missions, which already have inherent stressful elements, might negatively affect the immune systems of astronauts, and this could potentially be mitigated through precision omics profiles.

Differences in macronutrient consumption needs have been linked to variants in genes, such as the Retinoic acid receptor beta (RARB) gene, the DNA damage-regulated autophagy modulator 1 (DRAM1) gene, and the Fat mass and obesity-associated (FTO) gene54,55. Altogether, these variants appear to be associated with body composition, fat distribution, and obesity risk in relation to carbohydrate, lipid, and protein intake54,55. Initial studies have suggested that endocrine changes linked to spaceflight modify metabolism and strengthen its association with alterations in astronaut body composition and nutritional intake needs56. It may be possible that long-duration space voyages could exacerbate dietary deficits. The nutritional condition of astronauts appears to be affected by metabolic stress, changing gut flora, altered feeding behavior, vitamin insufficiency, and electrolyte imbalance57. Maintaining energy balance in space missions will likely be critical for maintaining body fat muscle homeostasis58.

These early findings imply a possibility that prolonged space exposure and dietary deficits may interact with genetic polymorphisms in a subset of astronauts to promote unusual pathologies that could be prevented by better nutritional information and health plans based on thorough research in the spaceflight omics discipline. It may hence be valuable to properly investigate and characterize any relationships between micronutrients, macronutrients, pharmaceuticals, omics, and various spaceflight environmental factors. These relationships are complex and underline the critical usefulness for rigorous standardization of space omics data and metadata so that meta-analyses may one day disentangle more confidently which factors are linked to preventable diseases at both the group and individual levels during spaceflight.

Standardization of space omics data and metadata would be an important component of a successful human space omics discipline. JAXA is currently conducting human liquid biopsy studies on the ISS. The main purpose of the studies is to investigate how the space environment affects humans at the tissue level. Besides fat and skin samples, which can be risky, whole-body solid tissue biopsies cannot typically be conducted in humans in space. As a result, the project proposes to perform minimally invasive liquid biopsies in astronauts. Liquid biopsies can detect cell-free components (microRNA, RNA, DNA, and extracellular vesicles) in the blood and scientists can estimate which tissues the cell components are derived from, allowing for full-body monitoring of omics responses. While solid biopsies only reflect a single time point of a single site on a single tissue, liquid biopsies can allow for a less invasive assessment of extracellular DNA and RNA in the plasma, which can represent molecular responses of the internal tissues in the body and can be obtained at repeated timepoints. The project proposes to collect astronaut blood samples at multiple time points before, during, and after living on the ISS. Murine and human plasma samples may be processed using the same processing protocol, thereby allowing for direct comparison of human and veterinary patients in a minimally invasive fashion for both species. These unique data collections are expected to enable cross-species integrative data analysis of space environment effects on mammals in a manner that is less technically and ethically complex than previous methods.

Moving forward, the majority of sampling on astronauts would likely consist of liquid biopsy approaches and other non-invasive and minimally invasive procedures. Traditional tissue biopsies carry a risk of infection and localized pain which could compromise astronaut health and performance in physical tasks such as spacewalks. Furthermore, less invasive sampling methods are often quick to perform and do not require significant recovery periods between samples, which can allow for more frequent sampling and thus greater temporal resolution of omic changes throughout missions. The feasibility of orbital sampling and readout can be explored for various biological sources, such as saliva, sweat, tears, urine, and nasal discharge, some of which have been reviewed in the context of human spaceflight elsewhere59. An increase in capabilities for inflight omic processing and readout could also enable inflight interventions to maintain health, such as nutritional supplements based on gene regulatory changes related to metabolism of specific vitamins.

New metadata normalization is another example of a rising standardization challenge that comes with the arrival of human space omics projects. Some key metadata parameters that should be collected from humans include environment, diet, nutrition, psychosocial dynamics, lifestyle, medical history, anthropometrics, and phenotypes13. Many of these metadata parameters have not been necessarily collected in space and hence have no standardization methods. For instance, wearable technology could be implemented to provide metadata of astronaut health, similar to fitness trackers that have been successfully used on Earth to measure various medical parameters, including increased insulin resistance, which has also been observed in spaceflight60,61. At the same time, metadata can be misused to identify individual astronauts, an ethical problem that, unlike in model organism studies, has to be addressed. With a mission to continuously improve recommended metadata normalization protocols for space omics data, ISSOP may help spark discussions needed to resolve some of these challenges.

In addition to best efforts to standardize space omics studies62, increased resolution may help interpret allelic variants associated with disease risks by more precisely pinpointing cell types and states involved in biology. Achieving this goal relates back to our project exploring an example set of alleles that are putatively linked to protective mechanisms, and their implications for therapeutic compound discovery and improved spaceflight nutrition and lifestyle recommendations63. As described next, extending standardized approaches toward space omics data that is higher in resolution could enable the generation of cell space atlases, which could further push forward a developing field of precision space healthcare.

To date, bulk transcriptomic technologies, such as RNA-sequencing (RNA-seq) and microarrays, have mostly been used to understand how spaceflight impacts physiology. These approaches have characterized physiology at the tissue level, composed of billions of diverse cells, rather than at the individual cell level. However, to obtain a thorough understanding of the complex dynamics that spaceflight causes in humans, there is a need to increase the analysis resolution level. IntheSpace Omics and Medical Atlas (SOMA), researchers recently collected high-resolution omics data from commercial astronauts during the Inspiration4 mission; the project included multi-omics spatial mapping, single-nucleus RNA-seq (snRNA-seq), single-cell RNA-seq (scRNA-seq), and single-cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq). Civilian missions may greatly contribute to advancing the spaceflight omics field, given that many commercial spaceflight participants have expressed voluntary interest in participating in space biomedical research and sharing data for biobanks and scientific publication64,65. These technological advances have created an unprecedented opportunity for in-depth molecular studies in space biology in the short- and middle-term future.

In recent years, researchers on Earth have used high-resolution omics to create a plant cell atlas (PCA)66, mouse cell atlas (MCA)67, and human cell atlas (HCA)68. These initiatives aim to construct thorough spatial maps of all cells in organisms as references for research, diagnosis, monitoring, and treatment of disease69, and assist in the development of better therapies. Contemporary routine blood tests that provide rough counts of white and red blood cells could become acutely more informative if cell types and states can be discerned with finer granularity. This could lead to improved diagnostic tests that detect infections before clinical symptoms are present, representing a shift from reactionary treatment of health issues towards a preventative approach69.

As society becomes increasingly spacefaring, one can envision the development of parallel initiatives to the PCA, MCA, and HCA that are specific to the space environment (Fig.2). A plant, mouse, and human cell space atlas (PCSA, MCSA, and HCSA) could improve our understanding of how each system responds to spaceflight and hence enhance health monitoring capabilities during prolonged space missions. Having access to the different changes occurring at the spatial cell type level in key organs between ground control and flight conditions would allow researchers to better understand how cell-cell interactions are altered by spaceflight70,71,72.

Multi-omic experiments, whether on Earth or in space, have a number of complexities when designing and comparing results to other published work. Namely, there are numerous models which could be leveraged to investigate the molecular (omic) changes in different organ systems using different technologies, which can then be processed and analyzed in numerous ways. Further, experiments conducted in space may be more influenced by environmental factors that are either regulated within the craft (such as oxygen) or not (such as radiation). These environmental factors are crucial to understanding results and can drastically vary by experiment. Given these complexities, understanding the environmental factors during a mission and the exact experimental design (including acquiring and analyzing the data), and standardizing them across agencies will be crucial to the development of aerospace multi omic analyses. Further, given the overall cost of these experiments as well as the limited resources to conduct them, this centralized and normalized database, which is accessible to other scientists, can assist our understanding of spaceflight risks, their counter measurements, and monitoring.

These insights could therefore lead to a more detailed comprehension of how various botanical organisms, veterinarian patients, and human patients respond to spaceflight in order to design new and substantially more precise treatments as countermeasures for health in space. The cell space atlases could serve as openly available international resources developed at the start of the human space omics era that span multiple generations to come, not only to characterize cellular responses to spaceflight but also to investigate how cell cross-talk is altered when the system is exposed to extreme environmental conditions like space.

Human and model organism cell space atlases could be constructed in a minimally invasive manner, using in vitro and ex vivo technologies. For example, tissue chips (organs on chips) could be viable options for high-resolution space omics studies73. In the past several years, a series of experiments have tested tissue chips on the ISS through the Tissue Chips in Space initiative, which is a partnership between the ISS National Lab and the National Center for Advancing Translational Sciences (NCATS) at the National Institutes for Health (NIH)74. Tissue chips are composed of human cells grown on artificial 3D scaffolds to model the structure and function of human tissues, allowing researchers to assess how major organs and systems in the human body respond to the extreme environment of space. Real human tissues can also be studied in spaceflight following protocols similar to the Suture in Space initiative, where living tissue from biopsies are extracted and sutured together to serve as models to better understand physiological mechanisms in space, including wound repair and regeneration27. Engineers have already developed miniaturized equipment and automation procedures for tissue chips to be employed in low capacity during flight missions. ESA plans to develop a 3D bioprinter for the ISS that could generate human tissue constructs in microgravity to study the complexity of cellular component responses to the space environment27. In addition to their role in potentially developing cell space atlases, personalized chips and tissues could also be exposed to extreme environments before missions to assess individual risks, and then could be placed on spaceflight to monitor health changes and test prospective countermeasures.

We note that the omics methods used to construct cell space atlases may depend on whether sample processing occurs during spaceflight and/or back in terrestrial labs. For example, scRNA-seq approaches require fresh material, whereas snRNA-seq approaches can use frozen samples75. Spaceflight restrictions may also limit omics approaches: For instance, methods may initially be proteomics-based on orbit to successfully accommodate compact equipment that can operate at low power13. This could potentially lead to the generation of a human protein space atlas that integrates spatial mapping of human proteomics into atlas efforts, paralleling the Human Protein Atlas project already initiated in terrestrial healthcare76.

Overcoming these technical boundaries and optimizing the quality of these technically novel datasets would require input from experienced omics scientists with extensive knowledge about spaceflight biology. ISSOP is composed of members with stated missions to routinely update recommended sample processing guidelines for space omics datasets to allow for better harmonization of data and increased gain of knowledge77. Members have expertise related to the processing of multi-omics data samples, and several ISSOP members are prime contributors to the previously mentioned JAXA and NASA projects utilizing cutting-edge and high-resolution omics techniques. As a result, ISSOP could serve as a community that is integral for propelling the space omics field into the next stage of innovation with projects related to themes such as the construction of cell space atlases.

Alongside the technical challenges of constructing a human cell atlas for spaceflight, the generation and usage of human space omics data poses considerable ethical, cultural, and legal challenges that would need to be carefully resolved through policy development. Indeed, one motivation of the current perspective paper is to provide examples of the upcoming ethical and legal complexities inherent to the nascent human space omics discipline in order to encourage earlier discussions amongst international ethicists, philosophers, scientists, and the public community.

As a consequence of the increasing adoption of human omics research in space, it has become crucial to increase standardization of policies for regulating the collection, storage, access, and usage of astronauts (sometimes called spaceflight participants, or SFPs) omics data. Based on recommendations from a 2014 report by the National Academy of Medicine (formerly the Institute of Medicine)78, NASA instituted a policy (NPD 7170.1) regarding the collection and usage of genomic data for human research. However, we are not currently aware of other prominent space agencies - or commercial spaceflight companies - publishing public policies regarding astronaut or crew omics data. Notably, the United Nations recently formed a working group on Space and Global Health. In their draft resolution (A/AC.105/C.1/L.402), they encourage Member States to establish a policy-enabled environment and governance mechanisms, with due consideration of legal and ethical issues, for removing barriers to the effective use of space-based technologies, including telemedicine solutions. The current rarity of human omics collection and curation can be viewed as a barrier to the development and deployment of emerging space-based health technologies, including precision healthcare. Thus, in the following section, we consider legal and ethical challenges pertaining to policymaking in this context, concluding with some thoughts on how best to achieve balanced policies which support space omics research while protecting the rights of the participants (Fig.3). Ethical considerations of human omics research is an emerging area for spaceflight79,80,59, this is just part of the bigger picture of space ethics81, and human omics research on Earth82.

Policies pertaining to the collection, storage, and usage of omics data from consenting astronauts and spaceflight participants would need to be carefully balanced. Thorough discussion amongst international ethicists could ensure that such policies are designed such that they are not so restrictive that they significantly limit the potential for scientific progress and improved occupational healthcare in space, and not so permissible that they expose participants to ethical harms.

As mentioned throughout this manuscript, standardized collection and curation of human space omics data has great potential to accelerate scientific research into human health in space and enable the deployment of precision medicine technologies to improve occupational healthcare during spaceflight missions. Therefore, underutilization of the scientific and healthcare potential for human space omics data is the primary danger of overly restrictive policies.

Firstly, if policies restrict the operational usage of human space omics data in occupational health processes, such as countermeasure design and long-term health monitoring, the full potential for reducing health risks might not be realized. Consequently, this could endanger crew members, reduce likelihood of mission success, and potentially infringe upon the duty of care space agencies have for their astronaut employees. This duty of care includes not just the immediate health and safety of astronauts during missions, but also their long-term health due to occupational exposures such as cosmic radiation78.

Secondly, if policies do not allow for sufficient data to be collected and processed from humans in space for research purposes, the pace of space life sciences research will be slower, with increased dependency on ground-based analogs. Similarly, restrictive policies for data accessibility/sharing would also slow the pace of research. When investigators contribute data to the scientific community through open-science initiatives, it can be analyzed via varied approaches, including comparatively to other datasets to yield novel insights. In the context of spaceflight omics data, the value of open-science has recently been demonstrated through a large-scale multi-omics analysis comparing datasets from the NASA GeneLab biorepository, to uncover mitochondrial dysregulation as a key hub of the biological response to spaceflight83. Biorepositories can be leveraged with Big data approaches, where patterns such as radiation sensitivity, can be learned via the application of machine learning methods to collections of multi-omics datasets84. With increased collection of omics data from humans in space, these kinds of approaches could be applied to human spaceflight, such as to predict susceptibility to radiation-based health issues in individual crewmembers85. Limiting accessibility to human space omics data creates a barrier to analysis efforts, thus every decrement from complete open access reduces the scientific utility of the data.

A final consequence of restrictive policies is reductions in the scope and precision of the data provided to the wider scientific community. For the NASA Twins study, authors of one follow-up paper that accessed and reanalyzed the original study data indicated that single nucleotide polymorphisms (SNPs), indels, copy number variations (CNVs), and structural genomic elements could not be included in the publication for confidentiality purposes86, thus limiting the scope of their public facing analysis. Regarding precision, efforts to anonymize and sanitize the data prior to data sharing - including data aggregation approaches and withholding metadata - could reduce the scientific utility, particularly as individual differences, such as gene variants associated with susceptibility to health issues, are essential information for unlocking precision healthcare approaches63.

On the other hand, while scientific utilization of human space omics data could reduce health risks for crews, if policies are overly permissible, omics research could also lead to harm by exposing human subjects to ethical issues. In the case of space agencies, this would also infringe on their duty of care to their astronaut employees. Due to the familial nature of genomics, these issues may also affect family members. Notably, compared to typical terrestrial cohorts, many of these ethical challenges are amplified by the unique nature of the spacefaring population; astronauts are easily identifiable due to their current rarity and status as public figures79.

One ethical issue that is particularly amplified by the standing of astronauts is that of privacy. The term genetic privacy is used ubiquitously, yet privacy breaches could apply to any identifiable omic-based personal data. Privacy breaches would involve disclosure of this data against the will of the participants, which could lead to psychological harm. Specifically, policies may be considered overly permissible if they fail to account for the risks of identifiability from the full range of omic data types and data formats. It is well understood that individuals can be identified using genomics data, such as SNPs87. However, identification via other omic data types, such as transcriptomics88, proteomics89,90, microbiomics91, and combinations of omic types (multi-omics)92, is a developing area of the literature. Identifying specific participants becomes possible through linkage attacks when phenotypic information is available in addition to the omics data88. Due to the nature of astronauts as public figures, phenotypic information such as ethnicity, age, and biological sex is readily available to the public. The small population size also means that the number of possible matches is limited, increasing the likelihood of successful linkage attacks. Aside from linkage attacks, privacy may also be violated via attacks on the data storage system. Thus, policies may be considered overly permissible if they do not ensure appropriate security and safeguarding mechanisms against data breaches.

Relating to the issue of privacy is the ethical issue of genetic discrimination, which refers to individuals receiving differential or unfair treatment based on their genetic data. Policies permitting space agencies to use omics data predictive of health issues, such as genetic variants, in astronaut selection or during processes such as flight assignment, could be seen as discriminatory. Indeed, many countries worldwide have enacted laws to prevent the use of genetic information in employment decisions93. It is worth noting that this is somewhat of a controversial and complex topic; for example, in the United States, the military can use routine genetic screening results to inform assignment decisions, such as to withhold deploying troops with G6PD deficiency to locations which would require them to take antimalarial drugs, since doing so can cause life-threatening hemolytic reactions94. While the United States Space Force could present an interesting exception, NASA is not a branch of the military, so it is subject to the Genetic Information Nondiscrimination Act 2008 (GINA), and therefore it would seem that it cannot use omic information in assignment and employment decisions79, which is also aligned with the current NASA policy (NPD 7170.1). However, even with precision medicine approaches, sending an individual with a genetic predisposition to spaceflight-associated risks, such as radiation susceptibility, on a long-duration mission to Mars may still increase the likelihood of a serious medical incident. Thus, it has been suggested that omic information would be useful for spaceflight selection and assignment processes95. This presents an ethical dilemma, where on the one hand, using omic information for flight assignment without the individuals consent could be seen as discriminatory, and on the other hand, not doing so could potentially endanger the crew and reduce likelihood of mission safety and success. An additional consideration here is that some spaceflight-relevant genetic mutations may be linked to certain populations on Earth, which raises further issues of equity63. Using omics for precision healthcare does appear to be supported under the current NASA policy and GINA80, and this could hopefully decrease health risks associated with individual differences during spaceflight missions to an acceptable level, while refraining from using omics information for employment selection and flight assignment. Altogether, this balance may align with what is perhaps the current consensus for an appropriate compromise, based on regulations in many regions worldwide.

One further ethical issue that will be faced by space agencies and commercial spaceflight companies collecting astronaut omics is the risk of incidental findings80. For example, collection and analysis of astronaut omics data could reveal unexpected findings, such as predisposition to late onset Alzheimers disease. In some cases, these findings may not be medically actionable. Disclosing these findings to the astronaut could cause them and their family members psychological harm. Policies would be seen as overly permissible if they do not factor in the risk of incidental findings and fail to implement appropriate and clear procedures for disclosure and genetic counseling.

Ultimately, policymaking for human space omics should be considered as a balancing act between developing policies that are not so overly restrictive that they limit the scientific potential of the data, and not so overly permissible that they invoke risk and expose participants and their families to harm. Standardization of policies could ensure that an appropriate balance is struck, safeguarding against ethical risks, while enabling appropriate accessibility for scientific and healthcare utilization of the data. This need for balance is embedded into the mixed role of space agencies, as research institutions and clinical care providers for astronaut employees80. While each dataset may still need to be considered on a case-by-case basis, such as for assessing identifiability of the data, clear policy frameworks could reduce bias and help to prevent unwarranted delays associated with unstandardized policy. As the number of humans and enterprises in space increases, and the understanding of omics increases in the context of ethical issues including privacy and discrimination, standards will need to be continually reassessed and updated.

It is worth noting that while ethical challenges such as privacy are certainly amplified at present by the relatively unique standing of astronauts as a small cohort of figures in the public spotlight, to some extent, these issues are also shared by rare disease cohorts and elite athlete cohorts on Earth, and so existing policies in areas including handling incidental findings and data sharing appear to present an apt starting point for discussion96.

It is essential that standardization of policymaking for human space omics be considered with an international perspective, as space agencies and commercial companies are subject to different laws based on geographical region, and may also be influenced by cultural differences81,97. For example, laws surrounding genetic discrimination and handling of incidental findings vary internationally93,98. Where appropriate, policies should aim to find harmonious solutions within the framework of internationally established legislation, such as the Declaration of Helsinki99, respecting the rights of the human data subjects while giving careful consideration to the specific challenges of the astronaut or crew population and the societal role of human spaceflight. On the ISS, the IGA (intergovernmental agreement) extends the jurisdiction of countries to their registered elements and personnel; for example, European law applies to European astronauts and the Columbus laboratory module on the ISS, with the existence of member state national laws adding further complexity59. Conversely, the Human Research Multilateral Review Board (HRMRB) is a review board between international partners to ensure that all human subject research onboard the ISS is conducted ethically according to internationally agreed principles. It is likely that future missions, including commercial missions involving multi-national participants, will require similar navigation of international laws to create policies. This need to design harmonious international policy raises concerns over fairness; for example, if a country has more restrictive laws in areas such as data protection, it may become challenging for citizens of that country to participate in international space missions, omic studies, and omic-based technologies such as precision healthcare.

Similarly, given the role of international collaboration in human spaceflight research, establishing clear and harmonious policies for lawful sharing and processing of human space omics data will be crucial100. Where human space omics data is deemed to be identifiable, databases should adhere to high standards of security, and access levels or other technical solutions for reducing ethical harm risks should be considered101. For example, data sanitization methods can manipulate the data to reduce the risk of identification88, but should be balanced against the potential loss of scientific utility. Additionally, federated approaches102, such as federating learning for training AI models without moving the data across jurisdictions, could prove useful103,104. In adherence to FAIR (Findable, Accessible, Interoperable and Reusable) principles105, human space omics data should be as as open as possible, as closed as necessary, in order to maximize scientific utility while protecting the rights of the participants.

Furthermore, an important aspect of developing appropriate policies will be striving for meaningful informed consent from participants, both in terms of consenting to venture into space, and consenting to the collection, usage, and sharing of their omics data. To the former point, omics technologies, such as predicted risk based on individual differences, could help to provide participants with additional data, enabling greater decision autonomy to improve the informed consent process for space travel. Broad consent has been proposed as a potential solution to gain consent in the context of omics research, where it may be hard to define future uses of the data at a granular level, and the identifiability risks of different omics data types may be challenging to accurately quantify106. When carefully implemented, it has been argued that broad consent may be an appropriate choice for obtaining consent in the context of space omics studies and has been used in the recent commercial spaceflight health data repository established by the Cornell Aerospace Medicine Biobank andthe Translational Research Institute for Space Health (TRISH)65.

Discussions regarding the development of appropriate policies need to commence early, so that anticipatory policies are ready as the science is ready80. With deep molecular profiling of astronauts now at the forefront of space biology research, and a key part of the climate of commercial spaceflight and ambitious missions outside of LEO, now would seem the opportune time to kick-start discussions into appropriate policy design. ISSOP, with its international membership and links to NASA GeneLab and the ESA Space Omics Topical Team, is well positioned to help guide standardization of policy-making regarding astronaut or commercial crews omics data, particularly from a scientific perspective. ISSOP can work closely with groups such as the Global Alliance for Genomic Health (GA4GH) to merge expertise in spaceflight omics research and terrestrial omics policymaking, which could help to ensure that policies maximize scientific utility while protecting the rights of the astronauts and crews.

Read the original post:

Astronaut omics and the impact of space on the human body at scale - Nature.com

Scientists gain bigger picture on how spaceflight changes astronauts – Fox Weather

FILE VIDEO: ISS astronauts provided a unique perspective to FOX Weather on lightning, solar eclipses and more.

Medical research into the biological effects of spaceflight took a giant leap this week after data from the first all-private mission, Inspiration 4, helped researchers worldwide reach new conclusions about low-gravity impacts on the human body.

On Tuesday, a series of research papers called the Space Omics and Medical Atlas (SOMA) package were published in the Nature Portfolio journals. The studies used biomedical data collected during the private Inspiration 4 mission, NASA and JAXA missions and led to 27 different scientific papers. The SOMA package is the largest publicly available spaceflight biomedical data yet.

Some of the most critical data from SOMA came from the four citizen astronauts who flew on a SpaceX Crew Dragon on the Inspiration 4 mission in September 2021. The mission was funded and commanded by American business executive Jared Isaacman. Hayley Arceneaux, Sian Proctor and Chris Sembroski joined Isaacman on a three-day flight into low-Earth orbit.

Scientists involved in the SOMA research from 25 countries were grateful to the Inspiration 4 crew for donating their skin cells, blood and more. Arceneaux and Sembroski joined some researchers on a call with reporters this week before the published findings to discuss their experience.

BOEING STARLINER SPACECRAFT DOCKS AT ISS WITH NASA ASTRONAUTS AFTER DRAMATIC APPROACH

"I love my space scars," said Arceneaux, a physician's assistant who served as the medical officer on Inspiration 4.

The crew took skin biopsies throughout their flight, which left scars.

Inspiration 4 crew Jared Isaacman and Hayley Arceneaux conduct TRISH science in orbit.

(SpaceX/Inspiration4)

"I'm familiar with your DNA and your telomeres, but its nice to meet you," study co-author Susan Bailey, with Colorado State University, told the crew on a call.

Bailey's research studied spaceflight effects on telomeres, the caps at the end of our DNA chromosomes that shorten as people age, which makes them a good biomarker for health and aging. Data from NASA astronaut Scott Kelly's one-year mission surprisingly found that telomeres shortened during his spaceflight.

Researchers had a lot of data on missions that lasted longer than six months, but for the first time, they could see how quickly these changes happened using data from the three-day Inspiration 4 mission.

Bailey said they found telomeres for the crew also elongated over the three-day private mission. Data from more than 10 astronauts shows that telomeres elongate during missions.

Other changes in astronauts included elevated cytokine levels, gene expression changes for immune activation, DNA damage response and oxidative stress.

The crew also became "more alike" over their 3-day mission because of microbial exchange at close quarters.

Study author Christopher Mason, of Weill Cornell Medicine, said they found that space explorers recovered from about 95% of biological changes returning to their baseline in the months after the mission.

"We think most of the changes we see are adaptive to spaceflight, that the body is clearly under stress because it's getting into microgravity. It has more radiation. It's a very unusual environment, you know, fluid shifts that disrupt the lymphatic system," Mason said. "Our bodies have evolved to live on gravity. Without it, it is a stress on the body."

SPACEX'S STARSHIP AND SUPER HEAVY BOOSTER MAKE EPIC SPLASHDOWNS IN GULF OF MEXICO, INDIAN OCEAN

The Inspiration 4 crew inside the Crew Dragon spacecraft. (Image: SpaceX)

While most of these adaptive changes are temporary, telomere length is one change that did not completely return to pre-spaceflight levels.

Bailey said that the telomeres are essentially damaged during spaceflight, likely not because of microgravity but because of radiation.

"It's most likely it's just radiation exposure or radiation exposure in general and more of a chronic nature of the radiation or even in a few days, even in three to five days," Bailey said. "So those are all very important findings."

Mason said the information gleaned from the short spaceflight is helpful for more people who plan to fly in space and arent able to train for a decade for spaceflight. The Inspiration 4 crew trained over four months ahead of their launch.

The Inspiration 4 crew agreed to make their data public, avoiding some of the barriers scientists face in getting biomedical data from government astronauts and providing a plethora of new medical research opportunities. Previously, there was no way to access more than one data set at a time.

"The data is so rare and precious," Mason said.

Inspiration 4 medical officer and crew member Hayley Arceneaux in orbit with a photo of herself as a child. Arceneaux is a childhood cancer survivor who later became a physician's assistant.

(SpaceX/Inspiration 4)

Afshin Beheshti of the Blue Marble Space Institute of Science led a countermeasures study focusing on ways to address some of the impacts of low gravity and diseases on Earth.

"Space is an accelerated model for aging and a lot of diseases, unfortunately. So then, you know, these countermeasures come up that can actually be easily applied to the clinic, to other diseases that are related," Beheshti said, such as osteoporosis.

With more space access and medical data, Beheshti said they repeatedly see the same effects across all space flyers.

"You can't deny that these effects are actually real because it's over and over," Beheshti said. "You see that, you know, different astronauts, different people, different backgrounds of people, genetic background, that these factors are there."

These studies can help develop protection for future space missions and on Earth, including radiation protection and anti-aging.

Samples from the Inspiration 4 mission revealed the first evidence that men and women recover differently after their time in space.

Mason said that while both sexes quickly returned to baseline, there "seems to be a little bit of evidence that females return a bit more quickly."

He theorized that women could be better adapted to physical changes because of the ability to have children.

"We dont have the full answer yet as to why women seem to be more tolerant to spaceflight," Mason said.

It's still too early for researchers to say that women make better space explorers than men biologically. The researchers estimated they would need a few hundred more astronaut samples to confirm this theory. According to the Supercluster Astronaut Database, less than 100 women have been to space, whereas more than 600 men have.

Even though this new research shows women can bounce back a little faster, Bailey said that comes with a caveat.

JAPANESE BILLIONAIRE CANCELS SPACEX STARSHIP FLIGHT AROUND MOON, DASHING DREAMS FOR SELECTED CREW

Inspiration 4 crew Sian Proctor (left) and Hayley Arceneaux (right) in orbit.

(SpaceX/Inspiration 4)

"A word of caution is that some of the work has shown that females may be more susceptible to some of the radiation-induced cancers like breast and lung," Bailey said. "There is always a flip side to the coin."

Future studies might look at how different sexes and ages react to spaceflight.

Scientists said the Inspiration 4 crew was a good study sample because the astronauts included both sexes and ages from four different decades. At 29, Arceneaux was the youngest American to orbit Earth.

"We have this huge range now of ages," Bailey said. "It's just really a remarkable opportunity to see how different people respond."

Both Sembroski and Arceneaux said they would go back into space "in a heartbeat," but they realized a need to provide more space access.

Time-lapse image of the Inspiration 4 launch. (Photo: Chris Boex / FOX)

"It was amazing to know that we went into this mission knowing that, yeah, we might be the first civilian crew, but we were going to make sure that we were not going to be the last," Sembroski said.

Arceneaux said she hopes more people can experience seeing the Earth from space, also known as the overview effect.

"What I'm hearing today is we need more data," Arceneaux said. "So we need to get more people up there."

View post:

Scientists gain bigger picture on how spaceflight changes astronauts - Fox Weather

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight – Nature.com

Informed consent and ethics approval

This study was completely in accordance with appropriate ethics guidelines. All participants consented at an informed consent briefing at SpaceX (Hawthorne, California), and samples were collected and processed under the approval of the institutional review board at Weill Cornell Medicine, under Protocol 21-05023569. All crew members provided written informed consent for data and sample sharing.

We sequenced analysed samples from human skin, oral and nasal environmental swabs before, during and after a 3-day mission to space. This dataset comprised paired metagenomic and metatranscriptomic sequencing for each swab. A total of 750 samples were collected in this study by the four crew members of the SpaceX Inspiration4 mission. The samples were taken from 10 body sites (Fig. 1a) across 8 collection points (3 pre-launch, 2 mid-flight and 3 post-flight) between June 2021 and December 2021. The crew additionally collected 20 samples from multiple Dragon capsules from 10 different locations. We note that some crew members (two adult male, two adult female) were using wet wipes (UPC, 036000317985) to bathe themselves in-flight in between swabbing; however, not every crew member did so, and SpaceX did not require this to be a consistent protocol among the crew. Wet wipes used by the crew were neither reused nor shared, which should limit any influence of this confounding variable. No statistical methods were used to predetermine sample sizes but our sample sizes are greater than any previous publication in this field.

The crew were each provided sterile Isohelix Buccal Mini Swabs (Isohelix, MS-03) and 1.0ml dual-barcoded screw-top tubes (Thermo Scientific, 3741-WP1D-BR/1.0ml) prefilled with 400l of DNA/RNA Shield storage preservative (Zymo Research, R1100). Following sample collection, swabs were immediately transferred to the barcoded screw-top tubes and kept at room temperature for less than 4days before being stored at 4C until processing. Additional descriptions of the sample collection and sequencing methods are available in companion publications37

DNA, RNA and proteins were isolated from each sample using the QIAGEN AllPrep DNA/RNA/Protein kit (QIAGEN, 47054) according to manufacturer protocol, yet omitting steps one and two. To lyse biological material from each sample, 350l of each sample was transferred to a QIAGEN PowerBead tube with 0.1mm glass beads and secured to a Vortex-Genie 2 using an adapter (1300-V1-24) before being homogenized for 10min. Of the subsequent lysate, 350l was transferred to a spin-column before proceeding with the protocol. Concentrations of the isolated DNA, RNA and protein for each sample were measured by fluorometric quantitation using the Qubit 4 fluorometer (Thermo Fisher, Q33238) and a corresponding assay kit. The Qubit 1Xds DNA HS Assay kit was used for DNA concentration (Q33231) and the RNA HS Assay kit (Q32855) was used for RNA concentration.

For shotgun metagenomic sequencing, library preparation for Illumina NGS platforms was performed using the Illumina DNA FLEX Library Prep kit (20018705) with IDT for Illumina DNA/RNA US indexes (20060059). Following library preparation, quality control was assessed using a BioAnalyzer 2100 (Agilent, G2939BA) and the High Sensitivity DNA assay. All libraries were pooled and sequenced on an S4 flow cell of the Illumina NovaSeq 6000 Sequencing System with 2150-bp paired-end reads.

For metatranscriptomic sequencing, library preparation and sequencing were performed at Discovery Life Sciences (Huntsville, Alabama). The extracted RNA went through an initial purification and cleanup with DNase digestion using the Zymo Research RNA Clean & Concentrator Magbead kit (R1082) following the manufacturer-recommended protocol on the Beckman Coulter Biomek i5 liquid handler (B87583). Following cleanup, ribosomal RNA reduction for RNA-seq library reactions was performed using the New England Bioscience NEBnext rRNA Depletion kit (Human/Mouse/Rat) (E6310X), and libraries were prepared using the NEBnext Ultra II Directional RNA Library Prep kit (E7760X) with GSL 8.8 IDT Plate Set B indexes. Following library preparation, quality control was assessed using the Roche KAPA Library Quantification kit (KK4824). All libraries were pooled and sequenced on an S4 flow cell of the Illumina NovaSeq 6000 Sequencing System with 2150-bp paired-end reads.

For faecal collection, all participants were provided with DNA Genotek OMNIgene-GUT (OM-200) kits for gut microbiome DNA collection. Each participant was instructed to empty their bladder and collect a faecal sample free of urine and toilet water. From the faecal specimen, each participant used a sterile single-use spatula, provided by the OMNIgene-GUT kit, to collect the faeces and deposit it into the OMIgene-GUT tube. Once deposited and sealed, the user was instructed to shake the sealed tube for 30s to homogenize the sample and release the storage buffer. All samples from each timepoint were stored at room temperature for less than 3days before storing at 80C long term. Faecal samples collected using the OMNIgene-GUT kit are stable at room temperature (1525C) for up to 60days.

DNA was isolated from each sample using the QIAGEN PowerFecal Pro DNA kit (51804). OMNIgene-GUT tubes were thawed on ice (4C) and vortexed for 10s. Then, 400l of homogenized faeces was transferred into the QIAGEN PowerBead Pro tube with 0.1mm glass beads and secured to a Vortex-Genie 2 using an adapter (1300-V1-24) before being homogenized at maximum speed for 10min. The remainder of the protocol was completed as instructed by the manufacturer. The concentration of the isolated DNA was measured by fluorometric quantitation using the Qubit 4 fluorometer (Thermo Fisher, Q33238), and the Qubit 1Xds DNA Broad Range Assay kit was used for DNA concentration (Q33265).

For shotgun metagenomic sequencing, library preparation for Illumina NGS platforms was performed using the Illumina DNA FLEX Library Prep kit (20018705) with IDT for Illumina DNA/RNA US indexes (20060059). Following library preparation, quality control was assessed using a BioAnalyzer 2100 (Agilent, G2939BA) and the High Sensitivity DNA assay. All libraries were pooled and sequenced on the Illumina NextSeq 2000 Sequencing System with 2150-bp paired-end reads.

All metagenomic and metatranscriptomic samples underwent the same quality control pipeline before downstream analysis. Software used was run with the default settings unless otherwise specified. The majority of our quality control pipeline makes use of bbtools (v.38.92), starting with clumpify (parameters: optical=f, dupesubs=2,dedupe=t) to group reads, bbduk (parameters: qout=33 trd=t hdist=1 k=27 ktrim=r mink=8 overwrite=true trimq=10 qtrim=rl threads=10 minlength=51 maxns=1 minbasefrequency=0.05 ecco=f) to remove adapter contamination, and tadpole (parameters: mode=correct, ecc=t, ecco=t) to remove sequencing error38. Unmatched reads were removed using bbtools repair function. Alignment to the human genome with Bowtie2 v.2.2.3 (parameters: very-sensitive-local) was done to remove potentially human-contaminating reads39.

We assembled all samples with MetaSPAdes v.3.14.3 (assembler-only)40. Assembly quality was gauged using MetaQUAST (v.5.0.2)41. We binned contigs into bacterial metagenome-assembled genomes on a sample-by-sample basis using MetaBAT2 v.2.12.1 (parameters: minContig 1500)42. Depth files were generated with MetaBAT2s built-in jgi_summarize_bam_contig_depths function. Alignments used in the binning process were created with Bowtie2 v.2.2.3 (parameters: very-sensitive-local) and formatted into index bamfiles with samtools v.1.0.

Genome bin quality was checked using the lineage workflow of CheckM (v.1.2)43. Medium and high-quality bins were dereplicated using deRep v.3.2.2 (parameters: -p 15 -comp 50 -pa 0.9 -sa 0.95 -nc 0.30 -cm larger). The resulting database of non-redundant bins was formatted as an xtree database (parameters: xtree BUILD k 29 comp 2), and sample-by-sample alignments and relative abundances were completed with the same approach as before. Bins were assigned taxonomic annotations with GTDB-tK (v.2.1.1)44.

To identify putative viral contigs, we used CheckV (v.0.8.1)45. For downstream viral abundance quantification, we filtered for contigs annotated as medium quality, high quality or complete. This contig database was dereplicated using BLAST and clustered at the 99% identity threshold as described above using established and published approaches (https://github.com/snayfach/MGV/tree/master/ani_cluster)46. The non-redundant viral contigs were formatted as an xtree database (parameters: xtree BUILD k 29 comp 0), and sample-by-sample alignments and relative abundances were computed with the same approach as before, the only difference being the coverage cut-off used to filter out viral genomes, which was lowered to 1% total and 0.05% unique due to the fact that those in question came directly from the samples analysed.

We generated gene catalogues using an approach piloted in previous studies47,48,49. Bakta v.1.5.1 was used to call putative open reading frames (ORFs)50. The annotations reported in this study (for example, Fig. 5) derive directly from Bakta. We clustered predicted and translated ORFs (at 90% requisite overlap and 90% identity) into homology-based sequence clusters using MMseqs2 v.13.4511 (parameters: easy-cluster min-seq-id 0.9 -c 0.9)51. The resulting non-redundant gene catalogue and its annotations were used in the functional analysis. We computed the abundance of the representative consensus sequences selected by MMseqs2 by alignment of quality-controlled reads with Diamond (v.2.0.14)52. We computed the total number of hits and computed gene relative abundance by dividing the number of aligned reads to a given gene by its length and then by the total number of aligned reads across all genes in a sample.

To identify viral taxonomic abundance via short-read alignment, we mapped reads to a database of all complete, dereplicated (by BLAST at 99% sequence identity) GenBank viral genomes. We used the Xtree aligner for this method (see below); however, given the difficulty of assigning taxonomic ranks to viral species on the basis of alignment alone, we first benchmarked this process. We used Art53 to generate synthetic viral communities at random abundances from 100 random viruses from the GenBank database. We then aligned (with Xtree) back to these genomes, filtered for 1% total coverage and/or 0.5% unique coverage, and compared expected read mapping vs observed read mapping. We additionally computed true/false positive rates on the basis of the proportion of taxa identified that were present in the mock community (true positive) versus those that were not (false positive) versus those that were present but not identified (false negative). Overall, we identified optimal classification at the genus level, with >98% true positive rate (that is, 98/100 taxa identified) and low false positive/negative rates (for example, <10 taxa not present in the sample identified) (Extended Data Fig. 10a,b). Species-level classification had higher false negative rates (generally arising from multimapping reads to highly similar species) and a 6070% true positive rate. Genus-level classification also yielded a nearly perfect correlation (>0.99 on average) between expected and observed read mappings (Extended Data Fig. 10c). As a result, while we report analyses for every taxonomic rank in the supplement, in the main text we describe only genus-level viral analysis.

In total, we used and compared seven different short-read mapping methods (MetaPhlAn4/StrainPhlAn, Xtree, Kraken2/Bracken run with four different settings, and Phanta), which together utilize five different databases that span bacterial, viral and fungal life. In addition, we identified and computed the relative abundance of non-redundant genes as well as bacterial and viral metagenome-assembled genomes. Subsequent downstream regression analyses were run on each resultant abundance table at each taxonomic rank.

Unless otherwise stated, for the figures involving taxonomic data used in the main text of this paper, we used XTree (https://github.com/GabeAl/UTree) (parameters: redistribute). XTree is a recent update to Utree54 containing an optimized alignment approach and increased ease of use. In brief, it is a k-mer-based aligner (akin to Kraken2 (ref. 55) but faster and designed for larger databases) that uses capitalist read redistribution56 to pick the highest-likelihood mapping between a read and a given reference based on the overall support of all reads in a sample for said reference. It reports the total coverage of a given query genome, as well as total unique coverage, which refers to coverage of regions found in only one genome of an entire genome database. We computed beta diversity (BrayCurtis) metrics for taxonomic abundances using the vegan package in R57.

For bacterial alignments, we generated an Xtree k-mer database (parameters: BUILD k 29 comp 0) from the Genome Taxonomy Database representative species dataset (Release 207) and aligned both metagenomic and metatranscriptomic samples. We filtered bacterial genomes for those that had at least 0.5% coverage and/or 0.25% unique coverage. Relative abundance was calculated by dividing the total reads assigned to a given genome by the total number of reads assigned to all genomes in a given sample. We additionally ran MetaPhlAn4 (ref. 58) (default settings) as an alternative approach to bacterial taxonomic classification.

For viral GenBank alignments, we generated an Xtree database (parameters: BUILD k 17 comp 0) from all complete GenBank viral genomes. We first dereplicated these sequences with BLAST 99% identity threshold via published approaches (https://github.com/snayfach/MGV/tree/master/ani_cluster)46,59. We filtered for genomes with 1%/0.5% total/unique coverage. Relative abundance was calculated identically as with the bacterial samples. We additionally ran Phanta (default settings) as an alternative to this approach for viral classification60.

As another set of methods for measuring taxonomic sample composition, we used Kraken2 and bracken, both with the default settings, to call taxa and quantify their abundances, respectively55,61. We used the default kraken2 reference databases, which include all NCBI listed taxa (bacteria, fungal and viral genomes) in RefSeq as of September 2022. We ran Kraken2 with four different settings: default (confidence=0) and unmasked reads, confidence=0 and masked reads, confidence=0.2 and unmasked reads, and confidence=0.2 and masked reads. In the cases where we masked reads before alignment (to filter repeats and determine whether fungal and other eukaryotic alignments were probably false positives), we used bbmask running default settings.

To evaluate our taxonomic profiling approach, we first compared the top ten genus-level classifications by body site before and after decontamination for each classifier in metagenomic and metatranscriptomic data. We observed general concordance among the various classification methods; for instance, the predominant skin genera consistently identified included Staphylococcus, Cutibacterium and Corynebacterium. The oral microbiome included Streptococcus, Rothia and Fusobacterium. Kraken2, which uses a database comprising both eukaryotic and prokaryotic organisms, identified fungi in the skin microbiome, as expected. The swabs from the Dragon capsule predominantly contained a diverse array of environmental microbes.

We compared these results at additional taxonomic ranks and with other taxonomic classifiers. For example, to discern higher specificity of the viral changes, we additionally fit species-level virus associations. While species-level viral taxonomic classification can be difficult due to high read misalignments (Extended Data Fig. 10), we wanted to determine whether we could observe a higher-resolution picture of viral activity due to spaceflight, as this effect is known to be space-associated (as opposed to bacterial skin to skin transmission, which could be a result of sharing tight quarters and not a space-specific effect).

We observed that many of the swabs collected, especially those from the skin sites, comprised low-biomass microbial communities; there are many documented challenges in analysing these data62,63. To filter environmental contamination and the kitome64 influencing our findings, we collected and sequenced negative controls of both (1) the water that sterile swabs were dipped in before use, as well as (2) the ambient air around the sites of sample collection and processing for sequencing.

Following taxonomic classification and identification of de novo assembled microbial genes, we removed potential contaminants from samples by comparison to our negative controls. We ran the same classification approaches for each negative control sample as described in the above paragraphs. This yielded, for every taxonomy classification approach and accompanying database, a dataframe of negative controls alongside a companion dataframe of experimental data. On each of these dataframe pairs, we then used the isContaminant function (parameters: method=prevalence, threshold=0.5) of the decontam package65 to mutually high-prevalence taxa between the negative controls and experimental samples. The guidance for implementation of the decontam package, including the parameter used, was derived from the following R vignette: https://benjjneb.github.io/decontam/vignettes/decontam_intro.html. Note that we used both metagenomic and metatranscriptomic negative control samples to decontaminate all data, regardless of whether those data were themselves metagenomic or metatranscriptomic. This decision was made to increase the overall conservatism of our approach.

Four mixed-model specifications were used for identifying microbial feature relationships with flight. Time is a variable encoded with three levels corresponding to the time of sampling relative to flight: pre-flight, mid-flight and post-flight. The reference group was the mid-flight timepoint, indicating that any regression coefficients had to be interpreted relative to flight (that is, a negative coefficient on the pre-launch timepoint implies that a feature was increased in-flight). We fit these models for all genes, viruses, and bacteria identified in our dataset by assembly, XTree (GTDB/GenBank), MetaPhlAn4, Kraken2 (all four algorithmic specifications), Phanta and gene catalogue construction. Each variable encoding a body site is binary, encoding whether a sample did or did not come from a particular region.

To search for features that were changed across the entire body, we fit overall associations, oral associations, skin associations and nasal associations:

$$begin{array}{l}{rm{ln}}left(rm{{microbial}{rm{_}}{feature}}{rm{_}}{abundance}+{minval}right)\sim {beta }_{0}+{beta }_{1}{rm{Time}}+left(1{rm{|}}rm{{Crew}.{ID}}right)+{epsilon }_{i}end{array}$$

(1)

For associations with oral changes, we used:

$$begin{array}{l}{ln}left(rm{{microbial}{rm{_}}{feature}{rm{_}}{abundance}+{minval}}right)\sim {beta }_{0}+{beta }_{1}{rm{Time}}times {rm{Oral}}+left(1{rm{|}}rm{{Crew}.{ID}}right)+{epsilon }_{i}end{array}$$

(2)

For associations with nasal changes, we used:

$$begin{array}{l}{rm{ln}}left(rm{{microbial}{rm{_}}{feature}{rm{_}}{abundance}+{minval}}right)\sim {beta }_{0}+{beta }_{1}{rm{Time}}times {rm{Nasal}}+left(1{rm{|}}rm{{Crew}.{ID}}right)+{epsilon }_{i}end{array}$$

(3)

For identifying associations with skin swabs, we fit the following model:

$$begin{array}{l}{rm{ln}}left(rm{{microbial}{rm{_}}{feature}{rm{_}}{abundance}+{minval}}right)\sim {beta }_{0}+{beta }_{1}{rm{Time}}times {rm{Armpit}}+{beta }_{2}{rm{Time}}times {rm{ToeWeb}}+{beta }_{3}{rm{Time}}times {rm{NapeOfNeck}}\+{beta }_{4}{rm{Time}}times {rm{Postauricular}}+{beta }_{5}{rm{Time}}times {rm{Forehead}}+{beta }_{6}{rm{Time}}times {rm{BellyButton}}\+{beta }_{7}{rm{Time}}times {rm{GlutealCrease}}+{beta }_{8}{rm{Time}}times {rm{TZone}}+left(1{rm{|}}rm{{Crew}.{ID}}right)+{epsilon }_{i}end{array}$$

(4)

The characters in each of the above equations refer to the beta coefficients on a given variable in that given regression. The characters refer to the regression residuals. Note that in the final equation (4), the reference groups are samples deriving from the nasal and oral microbiomes; this means that highlighted taxa will be those associated with time and skin sites as compared to the oral and nasal sites. We additionally fit these same model specifications without the random effect and compared the results in Extended Data Fig. 2. Data distributions were assumed to be normal but not tested for every single microbial feature. Individual data points for each feature are present in the online data stored at figshare66 and with NASA GeneLab (see Data availability).

We used the lme4 (ref. 67) package to compute associations between microbial features (that is, taxa or genes) abundance and time as a function of spaceflight and body site. For all data types, we aimed to remove potential contamination before running any associations. We estimated P values on all models with the ImerTest package using its default settings67,68. We adjusted for false positives using BenjaminiHochberg adjustment and used a q-value cut-off point of 0.05 to gauge significance.

We grouped microbial features associated with flight into six different categories. These were determined since our model contained a categorical variable encoding a samples timing relative to flight: whether it was taken before, during or afterwards. Since the modelling reference group was mid-flight, the interpretation of any coefficients would be directionally oriented relative to mid-flight microbial feature abundances. As a result, we were able to categorize features on the basis of the jointly considered direction of association and significance for the pre-flight and post-flight levels of this variable. The below listed categories are all included in the association summaries provided on figshare66 (see Data availability).

Transient increase in-flightnegative coefficient on the pre-flight variable level, negative coefficient on the post-flight variable, statistically significant for both

Transient increase in-flight (low priority)negative coefficient on the pre-flight variable level, negative coefficient on the post-flight variable, statistically significant for at least one of the two

Transient decrease in-flightpositive coefficient on the pre-flight variable level, positive coefficient on the post-flight variable level, statistically significant for both

Transient decrease in-flight (low priority)positive coefficient on the pre-flight variable level, positive coefficient on the post-flight variable level, statistically significant for at least one of the two

Potential persistent increasenegative coefficient on the pre-flight variable level, positive coefficient on the post-flight variable level, statistically significant for at least one of the two

Potential persistent decreasepositive coefficient on the pre-flight variable level, negative coefficient on the post-flight variable level, statistically significant for at least one of the two

We used these groups to surmise the time trends reported in the figures. It would be intractable to visualize every association of interest, so we prioritized within each category on the basis of the absolute value of beta-coefficients and adjusted P values. In Fig. 1c, we removed the low priority categories (two and four above) and only looked at the top 100 most increased and decreased significant genes, by group, relative to flight. We did so to make fitting splines feasible (especially in the case of genes, which had so many associations) and filter out additional noise due to low association-size findings.

We took a similar approach for the barplots in Figs. 24 and Extended Data Figs. 79. We again filtered out the low priority associations and selected, for each body site represented in the figure (for example, oral, skin, nasal), the top N with the greatest difference in absolute value of average L2FC relative to the mid-flight timepoints. In other words, we selected for microbial features with dramatic overall L2FCs. We maximized N on the basis of the available space in the figure in question. We note that the complete, categorized association results are available in the online data resource (see Data availability).

We modelled our species/strain-sharing analysis on the basis of ref. 30. Briefly, we used the s flag in MetaPhlAn4 to generate sam files that could be fed into StrainPhlAn. We used the sample2markers.py script to generate consensus markers and extracted markers for each identified strain using extract_markers.py. We ran StrainPhlAn with the settings recommended in ref. 30 (markers_in_n_samples 1, samples_with_n_markers 10 mutation_rates phylophlan_mode accurate). We then used the tree distance files generated by StrainPhlAn to identify strain-sharing cut-offs on the basis of the prevalence of different strains (detailed tutorial: https://github.com/biobakery/MetaPhlAn/wiki/Strain-Sharing-Inference).

The single-cell sequencing approach and averaging of host genes to identify expression levels are documented in refs. 33,69. The resultant averaged expression levels across cell types were associated with microbial feature abundance/expression using lasso regression. We used the same log transformation approach as in the mixed effects modelling for the microbial features, and we centred and rescaled the immune expression data. In total, we computed one regression per immune cell type (N=8) per relevant microbial feature, with the independent variables being all human genes (N=30,601). We selected features on the basis of their grouping described above, picking only those that were increased transiently or persistently increased after flight. Due to the volume of gene-catalogue associations, we only analysed persistently increased genes. We report outcomes with non-zero coefficients in the text.

The GNU parallel package was used for multiprocessing on the Linux command line70. We additionally used a series of separate R packages for analysis and visualization67,68,71,72,73,74,75,76. Figures were compiled in Adobe Illustrator.

No statistical method was used to predetermine sample size; all possible samples from all crew members (N=4) were taken. No sequenced data were excluded from the analyses; however, samples were quality controlled before bioinformatic and statistical analysis to remove duplicated reads, trim adapters and low-quality bases, remove human contamination and remove potential microbial contamination (using negative controls). The experiments were not randomized. Data collection and analysis were not performed blind to the conditions of the experiments.

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Read more:

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight - Nature.com

Space weather forecasting needs an upgrade to protect future Artemis astronauts – Astronomy Magazine

The Sun can send out eruptions of energetic particles. Credit: NASA/SDO via AP

NASA has set its sights on the Moon, aiming to send astronauts back to the lunar surface by 2026 and establish a long-term presence there by the 2030s. But the Moon isnt exactly a habitable place for people.

Cosmic rays from distant stars and galaxies and solar energetic particles from the Sun bombard the surface, and exposure to these particles can pose a risk to human health.

Both galactic cosmic rays and solar energetic particles, are high-energy particles that travel close to the speed of light.

While galactic cosmic radiation trickles toward the Moon in a relatively steady stream, energetic particles can come from the Sun in big bursts. These particles can penetrate human flesh and increase the risk of cancer.

Earth has a magnetic field that provides a shield against high-energy particles from space. But the Moon doesnt have a magnetic field, leaving its surface vulnerable to bombardment by these particles.

During a large solar energetic particle event, the radiation dosage an astronaut receives inside a space suit could exceed 1,000 times the dosage someone on Earth receives. That would exceed an astronauts recommended lifetime limit by 10 times.

NASAs Artemis program, which began in 2017, intends to reestablish a human presence on the Moon for the first time since 1972. My colleagues and I at the University of Michigans CLEAR center, the Center for All-Clear SEP Forecast, are working on predicting these particle ejections from the Sun. Forecasting these events may help protect future Artemis crew members.

The Moon is facing dangerous levels of radiation in 2024, since the Sun is approaching the maximum point in its 11-year solar cycle. This cycle is driven by the Suns magnetic field, whose total strength changes dramatically every 11 years. When the Sun approaches its maximum activity, as many as 20 large solar energetic particle events can happen each year.

Both solar flares, which are sudden eruptions of electromagnetic radiation from the Sun, and coronal mass ejections, which are expulsions of a large amount of matter and magnetic fields from the Sun, can produce energetic particles.

https://youtube.com/watch?v=w6C1_Qci8nQ%3Fwmode%3Dtransparent%26start%3D0

The Sun is expected to reach its solar maximum in 2026, the target launch time for the Artemis III mission, which will land an astronaut crew on the Moons surface.

While researchers can follow the Suns cycle and predict trends, its difficult to guess when exactly each solar energetic particle event will occur, and how intense each event will be. Future astronauts on the Moon will need a warning system that predicts these events more precisely before they happen.

In 2023, NASA funded a five-year space weather center of excellence called CLEAR, which aims to forecast the probability and intensity of solar energetic particle events.

Right now, forecasters at the National Oceanic and Atmospheric Administration Space Weather Prediction Center, the center that tracks solar events, cant issue a warning for an incoming solar energetic particle event until they actually detect a solar flare or a coronal mass ejection. They detect these by looking at the Suns atmosphere and measuring X-rays that flow from the Sun.

Once a forecaster detects a solar flare or a coronal mass ejection, the high-energy particles usually arrive to Earth in less than an hour. But astronauts on the Moons surface would need more time than that to seek shelter. My team at CLEAR wants to predict solar flares and coronal mass ejections before they happen.

While scientists dont totally understand what causes these solar events, they know that the Suns magnetic field is one of the key drivers. Specifically, theyre studying the strength and complexity of the magnetic field in certain regions on the Suns surface.

At the CLEAR center, we will monitor the Suns magnetic field using measurements from both ground-based and space-based telescopes and build machine learning models that predict solar events hopefully more than 24 hours before they happen.

With the forecast framework developed at CLEAR, we also hope to predict when the particle flux falls back to a safe level. That way, well be able to tell the astronauts when its safe to leave their shelter and continue their work on the lunar surface.

Lulu Zhao, Assistant Research Scientist in Climate and Space Sciences and Engineering, University of Michigan

This article is republished from The Conversation under a Creative Commons license. Read the original article.

The rest is here:

Space weather forecasting needs an upgrade to protect future Artemis astronauts - Astronomy Magazine

SpaceX launches 20 Starlink satellites on Falcon 9 flight from Vandenberg Space Force Base Spaceflight Now – Spaceflight Now

A stack of SpaceX Starlink satellites, which included the first six featuring Direct to Cell capabilities. The batch launched on the Starlink 7-9 mission, which lifted off from Vandenberg Space Force Base on Jan. 2, 2024. Image: SpaceX

SpaceX kicked off the weekend with the launch of another batch of its Starlink satellites. The mission, dubbed Starlink 8-8, added 20 more satellites to the low Earth orbit constellation, including 13 that have Direct to Cell capabilities.

Liftoff from Vandenberg Space Force Base happened 5:58 a.m. PDT (8:58 a.m. EDT, 1258 UTC). The launch came less than 12 hours after SpaceX launched 22 Starlink satellites from Cape Canaveral Space Force Station and roughly 48 hours after launching the fourth flight of its Starship rocket from southern Texas.

The Falcon 9 first stage booster supporting this mission, tail number B1061 in the SpaceX fleet, launched for a 21st time, tying B1062 as the companys flight leaders. B1061 previously launched two quartets of astronauts (Crew-1 and Crew-2), two multi-satellite rideshare missions (Transporter-4 and Transporter-5) as well as nine previous Starlink missions.

A little more than minutes after liftoff, B1061 landed on SpaceXs droneship, Of Course I Still Love You. It marked the 92nd landing on OCISLY and the 318th booster landing to date.

On June 1, Michael Nicolls, SpaceXs vice president of Starlink Engineering, noted that the 11 Starlink launches in May included 26 Direct to Cell Starlink satellites which presented over 8 percent of the sats needed for initial direct-to-cell service.

See the original post:

SpaceX launches 20 Starlink satellites on Falcon 9 flight from Vandenberg Space Force Base Spaceflight Now - Spaceflight Now

NASA, Boeing assessing possible impacts of Starliner helium leaks – Space.com

Boeing's Starliner capsule continues to get a thorough going-over during its first-ever astronaut mission.

Starliner launched on June 5, carrying NASA astronauts Butch Wilmore and Suni Williams to the International Space Station (ISS) on a shakeout cruise known as Crew Flight Test (CFT).

The Boeing CFT mission was originally supposed to stay docked to the orbiting lab for about a week, but NASA announced over the weekend that the mission will last at least until June 18. The extra time will allow ISS astronauts to prep for a Thursday (June 13) spacewalk and for Wilmore, Williams and ground teams to continue performing checkouts on their Starliner spacecraft, agency officials explained. (You can follow our Starliner live updates coverage for more details.)

Some of those checkouts are focusing on the potential effect of helium leaks, five of which have been detected on Starliner to date. One was spotted before launch but eventually deemed to pose little risk to full mission success. Four more have now been discovered while Starliner is in space, but that isn't necessarily cause for alarm.

"Engineers evaluated the helium supply based on current leak rates and determined that Starliner has plenty of margin to support the return trip from station," NASA officials wrote in a CFT update on Monday (June 10).

"Only seven hours of free-flight time is needed to perform a normal end of mission, and Starliner currently has enough helium left in its tanks to support 70 hours of free flight activity following undocking," they added.

Starliner also experienced some issues with its reaction control system (RCS) thrusters on its way to the ISS. The capsule has 28 of these small thrusters in its service module, and five of them misbehaved at some point during the journey to orbit. Four of those five were quickly brought back online, but one remains out of commission.

Sign up to our newsletter for the latest updates on rocket launches, skywatching events and more!

Mission team members continue to analyze that thruster's past performance, and they plan to put it and the others to the test near the end of the mission.

"Ground teams plan to fire all 28 RCS thrusters after undocking to collect additional data signatures on the service module thrusters before the hardware is expended," NASA officials wrote in the update. "As part of normal operations, the service module separates from crew module on return, so NASA and Boeing will gather as much data as possible to aid in system assessments."

Wilmore and Williams, meanwhile, have been evaluating their "Boeing Blue" spacesuits and Starliner's seats for fit, comfort and functionality and assessing the air flow aboard the capsule.

They've also powered the capsule down and back up again and conducted "safe haven" checks, which are designed to show that a docked spacecraft can serve as a refuge for astronauts in the event of an emergency aboard the ISS.

June 18 remains a "no earlier than" target for CFT, not a firm return date. When Starliner does come home, it will touch down on terra firma in the southwestern U.S., NASA officials have said.

View post:

NASA, Boeing assessing possible impacts of Starliner helium leaks - Space.com

3 Days in Space Were Enough to Change 4 Astronauts’ Bodies and Minds – The New York Times

Space changes you, even during short trips off the planet.

Four people who spent three days off Earth in September 2021 experienced physical and mental changes that included modest declines in cognitive tests, stressed immune systems and genetic changes within their cells, scientists report in a package of papers published on Tuesday in the journal Nature and several other related journals.

Almost all of what changed in the astronauts returned to normal after they splashed down on Earth. None of the alterations appeared to pose a showstopping caution for future space travelers. But the results also highlighted how little medical researchers know.

Christopher Mason, a professor of genomics, physiology and biophysics at Weill Cornell Medicine in New York City and one of the leaders of the research, called the collection of papers and data the most in-depth examination weve ever had of a crew as he spoke during a news conference on Monday.

The four astronauts traveled on a mission, known as the Inspiration4, which was the first trip to orbit where not one of the crew members was a professional astronaut. Jared Isaacman, a billionaire entrepreneur, led the mission. Instead of bringing friends along, he recruited three travelers who represented a wider swath of society: Hayley Arceneaux, a physician assistant who survived cancer during her childhood; Sian Proctor, a community college professor who teaches geoscience; and Christopher Sembroski, an engineer.

The Inspiration4 crew members consented to participating in medical experiments collecting samples of blood, urine, feces and saliva during their flight and to allowing the data to be cataloged in an online archive known as the Space Omics and Medical Atlas, or SOMA, which is publicly available.

Although the data is anonymous, that does not provide much privacy because there were only four crew members on Inspiration4. You could probably figure out who is who, actually, Dr. Proctor said in an interview.

We are having trouble retrieving the article content.

Please enable JavaScript in your browser settings.

Thank you for your patience while we verify access. If you are in Reader mode please exit andlog intoyour Times account, orsubscribefor all of The Times.

Thank you for your patience while we verify access.

Already a subscriber?Log in.

Want all of The Times?Subscribe.

Read the rest here:

3 Days in Space Were Enough to Change 4 Astronauts' Bodies and Minds - The New York Times

Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice – Nature.com

To identify specific cellular microenvironments affected by spaceflight, we combined the techniques of spatial transcriptomics (ST; 10X Genomics Visium) and single-nucleus multiomics (snMultiomics; gene expression and chromatin accessibility; 10 Genomics Single Cell Multiome ATAC+Gene Expression) on mouse brain. In total, we analyzed three brains from mice euthanized on-board of the International Space Station (ISS; F1, F2, F3) and three brains from ground control mice (G1, G2, G3) that were kept under matched conditions (see Animals in Methods). For each sample, we isolated nuclei from one hemisphere for snMultiomics analysis and cryo-sectioned the other hemisphere for ST analysis with the focus on the hippocampal region (Fig.1).

Overview of the study workflow where brains from International Space Station (ISS; Flight mice) and ground control mouse groups (Ground control mice) were split into the two hemispheres for Spatial Gene Expression Analysis (Spatial Transcriptomics or ST) and Single Nuclei Multiomics analysis (snMultiomics).

As a first step, we ensured that the morphological and RNA quality of the samples was suitable for our experimental workflow given that the spaceflown samples had undergone a specific preservation approach17, which was also used for the corresponding ground control animals (see Animals in Methods). We measured the RNA integrity number (RIN) for each sample and found that it was 9.15 on average (Supplementary Fig.1A). Furthermore, we performed a tissue optimization experiment confirming that both RNA integrity and tissue morphology was of sufficient quality for ST analysis (see Visium Spatial Gene Expression technology and sequencing in Methods; Supplementary Fig.1B).

To dissect the alterations induced by spaceflight at the single-nucleus level, we performed a snMultiomics analysis on hemispheres of three spaceflown (F1, F2, F3) mice and two out of three ground controls (G2, G3), obtaining RNA expression profiles (RNA-seq) and chromatin accessibility (ATAC-seq) information from the same nucleus.

In total, we isolated 21,178 nuclei across the spaceflight and control samples with an average of 3140 unique transcripts (Unique Molecular Identifier or UMI) per nucleus (i.e., from snRNA-seq) and 9217 peaks per nucleus (i.e., from snATAC-seq) (Fig.2A, B; Supplementary Fig.1C) and an overall high gene expression correlation between the spaceflight and ground control samples (r=0.95, p<0.05; Fig.2C). By integrating snRNASeq and snATAC-seq data and performing a joint clustering analysis, we identified 18 snMultiomics clusters (Fig.2D; Supplementary Fig.2).

A Distribution of UMIs per nucleus in the entire snRNA-seq dataset. nUMI/nuclei: number of UMIs detected in each nuclei. B Distribution of peaks per nucleus in the entire snATAC-seq dataset. nPeaks/nuclei: number of peaks detected per nuclei in the multiomics dataset. C Correlation between flight (y-axis) and ground control (x-axis) single nuclei multiomics samples (Pearsons correlation coefficient, r=0.95; p<0.05) shown as a scatter plot. This is a two-sided Pearson correlation test with 95% confidence intervals performed on the average expression (log(1+avgUMI)). avgUMI: average UMI counts per spot. D UMAP of single nuclei multiomics data and cluster annotations. E 11 functional multiomics clusters categories represented by their marker genes. F Distribution of UMIs per spot for the whole spatial transcriptomics (ST) dataset. nUMI/spot: number of UMIs detected per spot in the ST dataset. G Distribution of unique genes per spot for the whole spatial transcriptomics (ST) dataset. nGenes/spot: number of genes detected per spot in the ST dataset. H Correlation between flight (y-axis) and ground control (x-axis) ST samples (Pearsons correlation coefficient, r=0.99; p<0.05) shown as a scatter plot. This is a two-sided Pearson correlation test with 95% confidence intervals performed on the average expression (log(1+avgUMI)). avgUMI: average UMI counts per spot.

Next, we leveraged previously reported marker genes in the literature (see Gene and cluster annotation in Methods for details) to identify 11 macro categories for the 18 snMultiomics clusters (interchangeably referred to as multiomics clusters in the next sections) according to their functions (Fig.2E; Supplementary Data1, 2). The majority of clusters were related to neurogenesis, neuronal activity and synaptic transmission, distinguished by differences in neurotransmitters (GABAergic, glutamatergic, dopaminergic) and based on gene expression patterns, tentatively associated with neuronal locations in hypothalamus, striatum, cortex and hippocampus.

We identified a total of 825 differentially expressed genes (DEGs) between spaceflown and ground control samples across all multiomics clusters (Supplementary Data3). The majority of these 825 DEGs were involved in neuronal development (multiomics clusters 9, 11), axonal or dendritic outgrowth (multiomics cluster 9), and synaptic transmission (multiomics cluster 4), including specifically GABAergic synaptic transmission (multiomics cluster 11).

Comparison of 825 spaceflight multiomics DEGs to the 629 significant DEGs (Spaceflight vs Ground Control; p-value<0.05) from the bulk RNAseq data of the same mice brains from the same NASA mission (RR-3), indicated 11 shared genes (p-value=0.01582549, hypergeometric distribution test; see Gene overlap test in Methods; Supplementary Data4). Out of these 11 overlapping genes, only 2 genes (Gabra6, and Kctd16) showed the same directional change in both the datasets indicating that the majority of spaceflight effects are cell type-specific and emphasizing the need for cell-specific analysis of central nervous system responses to spaceflight.

We also compared these 825 spaceflight DEGs with spaceflight DEGs reported in a total of 11 other datasets processed by NASA OSDR including mass spectrometry and RNA-seq data collected from different organs of BALB/c and C57BL/6J mice strains. This comparison revealed a total of 461 overlapping DEGs (p-value<0.05) across all the 11 datasets combined (refer to Supplementary Data5 for a detailed list of overlapping genes and the resulting p-value from the hypergeometric distribution test performed for each dataset).

To investigate spaceflight-induced CNS alterations at a spatial level, we performed ST analysis on the other brain hemispheres from 3 flight (F1, F2, F3) and 3 ground control mice (G1, G2, G3). We collected two coronal sections from each brain hemisphere containing hippocampus, somatosensory cortex, striatum, amygdala and corpus callosum.

In total, we captured 14,630 genes across 29,770 spots after filtering and detected 10,884 UMIs/spot and 3755 genes/spot on average (Fig.2F, G; Supplementary Fig.3A, B) and found a high overall gene expression correlation between spaceflight and ground control tissue sections (r=0.99, p<0.05; Fig.2H). Unsupervised clustering analysis of spot information identified 18 distinct spatial clusters (further referred as ST clusters) (Fig.3A, B; Supplementary Data6), which presented a clear separation between the cortical top (ST cluster 1) and bottom layers (ST cluster 9), as well as other major structures, including hippocampus (with separation of CA1, CA3, and dentate gyrus in ST clusters 10, 8 and 11 respectively), thalamus (ST cluster 5), striatum (ST clusters 0, 14), hypothalamus (ST cluster 2), pituitary (anterior and posterior; ST cluster 2), corpus callosum (ST cluster 12) and cerebral peduncles (ST cluster 4) (Fig.3C). Key functions of the markers (Supplementary Data7) that were shared by numerous ST clusters include neurogenesis, neuronal development, axonal growth and synaptogenesis, indicating that ST cluster analysis is dominated by neuronal gene expression.

A Clustering of spatial transcriptomics data, cluster annotations and spatial location of clusters visualized on flight and ground control mouse brain sections. B Marker genes for each ST cluster visualized as dotplot. C Spatial distribution of 3 genes (Wfs1 for CA1 region of hippocampus, Dkk3 for CA1 and CA3 hippocampal region and Prox1 for Dentate gyrus) in three flight (left column) and three ground control (right column) ST sections. D Significantly different pathways (p<0.05) between flight and ground control in ST cluster 9 (Cortical neurons, bottom layers). E Visualization of number of clusters identified by single-nuclei multiomics and their proportions in each ST cluster (x-axis; 017). Only multiomics clusters with higher proportions (>10%) are displayed in the barplot. F Cell type proportions mapped to spatial coordinates on three ground control (top row) and three flight (bottom row) mouse brain sections (Synaptic transmission I or multiomics cluster 1; Myelination or multiomics cluster 3; Neuronal activity, Synaptic transmission III or multiomics cluster 15).

Next, we investigated how spaceflight influences gene expression at the spatial level and identified a total of 4057 DEGs in 7 out of 18 ST clusters (Supplementary Data8). The majority of DEGs were involved in neuronal development, synaptogenesis and synaptic plasticity, and neurodegeneration, including 21 DEGs in hippocampal CA3 neurons. The most pronounced change in gene expression due to spaceflight was observed in cortical neurons (bottom layers; ST cluster 9) which showed 3208 DEGs (1808 upregulated, and 1400 downregulated) with similar functions related to neuronal development and synaptic transmission in somatosensory, motor and visual cortex. Consensus pathway analysis18 highlighted neurodegeneration-associated pathways in cortical neurons (bottom layers; ST cluster 9) including protein misfolding and abnormal protein clearance, indicating potential similarities with neurodegenerative diseases characterized by protein misfolding and accumulation, such as Parkinsons disease19,20 (Fig.3D).

To infer the spatial distribution of the clusters identified by multiomics, we performed spot deconvolution analysis on matching ST dataset using Stereoscope21 (which corrects for biases arising from different experimental techniques before calculating celltype proportions probabilities) (Fig.3E; refer to Supplementary Figs.46 for detailed visualizations of multiomics cluster proportions in ST dataset). The deconvolution analysis revealed similarities based on the assigned functional annotations between several multiomics and spatial data clusters, for instance, synaptic transmission (multiomics cluster 1 matched with ST clusters 0 and 2), myelination (multiomics cluster 3 matched ST clusters 4 and 12), and neuronal activity (multiomics cluster 15 matched ST cluster 5) (Fig.3F; Supplementary Figs.7, 8; Supplementary Data9). This comparative analysis suggested the effects of spaceflight on synaptic transmission specifically in cortex (including both neurons and astrocytes, as revealed by snRNA-seq data that allowed cell type separation) and on dopaminergic neuron development specifically in striatum (Supplementary Data9).

To assess the effects of spaceflight on the cell-cell interaction level, we performed a ligand-receptor analysis on two multiomics clusters that showed among highest number of differentially expressed genes in response to spaceflight, i.e., multiomics clusters 4 (Astrocytes), and 11 (GABAergic Synaptic Transmission). We found 4 significantly upregulated interactions (Fig.4A), including adhesion molecule pairs, EGFR (epidermal growth factor receptor) pairs, and VEGFA (vascular endothelial growth factor). These ligand-receptor interactions have previously been shown to be involved in cellular development in the CNS. EGFR22, is involved in neuronal development, including axonal outgrowth. Meanwhile, VEGFA23,24 primarily regulates angiogenesis though it can also play a role in hippocampal neurogenesis, and astrocyte-produced VEGFA has previously been demonstrated to regulate neuronal NMDA receptor activity23,24,25. Interestingly, we found that spaceflight widely increased VEGFA_GRIN28 interactions between multiomics cluster pairs related to astrocytes and synaptic transmission, i.e., 4-11 (Astrocytes-GABAergic Synaptic Transmission). No ligand-receptor interactions in these clusters were significantly downregulated.

A Dotplot showing the differentially expressed ligand receptor pairs found by CellPhoneDB between two interacting multiomics clusters (4 and 11) which are affected by spaceflight. These clusters showed the largest number of spaceflight DEGs, and four LR pairs were found significantly upregulated in these interactions. The null distribution of the mean expression of the LR pairs was estimated by employing a random permutation approach. The mean expression of the interacting LR molecule pairs are indicated by the dot colors and the dot sizes represent the p-values which refers to the enrichment of the LR pair in the interacting multiomics clusters. Scales for both dot size and color are presented below the plot. B Accessibility differences for motifs Atoh1, Zic1, and Zic2 in multiomics cluster 4 of flight mice and ground control mice. Spaceflight results in reduced accessibility of these motifs in flight samples. Two-sided Chi-square test statistic was used for differential testing with FDR correction (fdr <0.05). C Accessibility differences for motifs Pou5f1, and Sox2 in multiomics cluster 11 of flight and ground control mice. Spaceflight results in increased accessibility of these motifs in flight samples. Effects of spaceflight shown by increased accessibility of these motifs in flight samples. Two-sided Chi-square test statistic was used for differential testing with FDR correction (fdr <0.05). D (left) adjusted p-value of differential interactions found by MISTy in intraview (cell type and pathway activity colocalization) occuring only in flight (blue; n=3 individual ST flight mouse samples) or in controls (red; n=3 individual ST ground control mouse samples), tiles with black border identify statistically significant changes, (middle) correlation of MAPK pathway activity and Neurovasculature abundance, and mapped on Visium slide for two samples (right). Two-sided Students t tests with BenjaminiHochberg multiple testing correction was used to determine the differential interactions. E adjusted p-value of differential interactions found by MISTy in paraview (cell type and pathway activity in local neighborhood) occuring only in flight (blue; n=3 individual ST flight mouse samples) or in controls (red; n=3 individual ST ground control mouse samples), tiles with black border identify statistically significant changes. Two-sided Students t tests with BenjaminiHochberg multiple testing correction was used to determine the differential interactions. F Pearson correlation of Glis3 activity (left) containing vascular endothelial cells and MAPK activity (n=6 individual ST mouse samples, 3 flight, 3 ground controls), and their respective activities in Visium slides (4 plots on the right). Two-sided Students t-tests with BenjaminiHochberg multiple testing correction was used to determine the changes in correlation. G Pearson correlation of Lef1 activity (left) within spots containing vascular endothelial cells and MAPK activity, and their respective activities in Visium slides (4 plots on the right). Two-sided Students t tests with BenjaminiHochberg multiple testing correction was used to determine the changes in correlation. multiomics cl: multiomics cluster. The boxplots in D, F, and G show the median as a central line, the box boundaries denote the first and third quartiles and the whiskers extend to the most extreme point in the range within 1.5 times the interquartile range from the box.

We also extended the ligand-receptor analysis to the ST dataset using SpatialDM26. We applied SpatialDM on each ST brain section to identify spatially co-expressed LR pairs and found a total of 1260 LR pairs (Supplementary Fig.9; refer to Supplementary Data10 for a detailed list of LR pairs with corresponding z-scores across each ST section). Differential testing between the two conditions (flight and ground control) for the observed 1260 LR pairs revealed a total of 134 differential LR pairs (differential p-value<0.1; Supplementary Data11).

To investigate the effects of spaceflight on transcription factors (TFs), we performed motif analysis on snATAC-seq peaks from the single nucleus multiomics data, which revealed spaceflight-mediated differences in TF activity in several multiomics clusters (Supplementary Data12), especially 4 (Astrocytes), and 11 (GABAergic Synaptic Transmission).

Spaceflight was associated with reduced accessibility of motifs Zic1, Zic2 and Atoh1 in multiomics clusters 4 (Astrocytes)27,28 (Fig.4B). Meanwhile, increased accessibility of motifs Pou5f1 and Sox2 in multiomics cluster 11 (GABAergic Synaptic Transmission) might indicate reduced neuronal differentiation in spaceflight29,30,31 (Fig.4C). In addition to neuronal effects, motifs Pparg, Rxra and Nr2f6, which collectively inhibit immune responses, showed decreased accessibility in telencephalon interneurons (multiomics cluster 11), suggesting increased inflammatory responses in space32,33,34, and possible circadian dysregulation35,36,37,38,39.

Local environments of cell types may affect the functional responses to spaceflight represented by changes in signaling pathways. We compared key signaling pathways in adjacent locations based on the spatially-resolved cell type deconvolution results from Stereoscope analyzed using the Multiview intercellular SpaTial modeling framework (MISTy)40. This tool allowed us to investigate the relationships between cell type proportions in each ST spot and activities of 14 pathways inferred by decoupler-py and PROGENy41,42. Specifically, the MISTy models predict cell type abundance in a spot based on an intraview (features in the same spot) and paraview (weighted sum of the features in the neighboring spots; weights decreasing with distance). Either cell type abundances or pathway activities were selected as features for the model, and a separate model was built for each sample and cell type. To analyze the effects of spaceflight, the models were subsequently aggregated into flight and ground control groups.

Based on cell type abundances, we did not find any significant changes in cell type colocalization (which would occur during tissue restructuring or lesion formation) between flight and ground controls, similar to our previous finding of no significant changes in cell type abundance in deconvolution results (Supplementary Figs.7 and 8).

In contrast, changes in signaling pathways were associated with individual cell types. Cell abundance in neurovasculature (multiomics cluster 12) colocalized with decreased MAPK signaling in spaceflight (Fig.4D). Similarly, signaling changes in local neighborhood (MISTy paraview) of several other cell types were found in spaceflight samples (Fig.4E): (1) less negative correlation of EGFR signaling and glutamatergic neuronal cells; (2) more negative correlation of MAPK and cholinergic, monoaminergic and peptidergic neurons; (3) increased TGFbeta signaling in the vicinity of GABAergic interneurons; (4) reduced WNT signaling in class II glutamatergic neurons.

To assess the downstream effects of these changes, we built a tissue-specific gene regulatory network (GRN) from the multiomics data using CellOracle43 and used it to predict TF activities in spatial data and computed the Pearson correlation between TF and signaling activities for the dysregulated pathways in spots containing the cell types identified above. The network suggested that the decrease in MAPK signaling in spaceflight increases activity of the transcription factor Glis3 and reduces Lef1 in neurovasculature, respectively (Fig.4F, G).

Gene Set Enrichment Analysis (GSEA) on the ST data using metabolic pathways indicated spaceflight-mediated inhibition of the oxidative phosphorylation pathway, especially Complex I signaling (Fig.5A, Supplementary Data13), as well as pathways related to glycolysis/gluconeogenesis (Supplementary Fig.10), fructose and mannose metabolism (Supplementary Fig.11) and arachidonic acid metabolism (Fig.5B). Analysis of multiomics data was consistent with spaceflight-mediated reduction in these pathways together with fatty acid synthesis (Fig.5C; Supplementary Data14). Deficits in glycolysis and oxidative phosphorylation are consistent with previously reported mitochondrial impairments caused by spaceflight44, while, arachidonic acid is primarily produced by astrocytes and suggests astrocyte dysfunction as a potential target for future spaceflight CNS studies.

A Heatmap showing fold change differences (log2FC) between flight and ground control samples in oxidative phosphorylation pathway in both ST and multiomics datasets. There is a spaceflight-mediated inhibition seen for this pathway that is consistent across the two datasets. Two-sided Wilcoxons rank-sum test was done with FDR adjustment. B Heatmap showing fold change differences (log2FC) between flight and ground control samples in Arachidonic acid metabolism pathway in both ST and multiomics datasets. There is a deficit for this pathway seen in spaceflight samples in both the datasets. Two-sided Wilcoxons rank-sum test was done with FDR adjustment. C Heatmap showing fold change differences (log2FC) between flight and ground control samples in Fatty acid synthesis pathway in both ST and multiomics datasets. There is a spaceflight-mediated reduction observed for this pathway in both the modalities. Two-sided Wilcoxons rank-sum test was done with FDR adjustment. multiomics cl: multiomics cluster.

In order to validate our findings on the spaceflight affected processes in mouse brain, we performed single molecule Fluorescence In situ Hybridization (smFISH) using the RNAscope technology for two genes of interest (Adcy1 and Gpc5) in five brain sections: 3 flights, 2 ground controls (Supplementary Fig.12) from a comparative set of mice (see Methods). We observed significant upregulation in the expression of both genes in spaceflight samples, confirming our findings from the ST data and multiomics data analysis (Supplementary Data3 and 8, Supplementary Fig.13AC). Adcy1 was particularly upregulated in the hippocampus and associated with changes in neuronal activity (ST clusters 8, 11), while Gpc5 was upregulated in astrocytes (multiomics cluster 4).

Here is the original post:

Spatially resolved multiomics on the neuronal effects induced by spaceflight in mice - Nature.com

Star Wars Outlaws’ Space Travel Looks Disappointingly Similar To Starfield’s – TheGamer

Highlights

Despite middling previews coming out of Summer Game Fest, Im still interested in Star Wars Outlaws. Ubisofts take on the Star Wars universe is giving me a Mandalorian Season 1 vibe, before all the Ahsokas and Skywalkers and other Glup Shittos arrived to fold it into the wider lore.

Im a man who wants his Star Wars media to just be little guys doing stuff in a universe I know, rather than a universe-altering plot that ends up with Yodas origin story. This is why Im finding The Acolyte refreshing, and why Im immediately turned off by practically any other modern Star Wars media.

Andor is the exception that proves the rule. What a show.

An independent force working apart from the Jedi, Kay Vess is an engaging protagonist. A rascal and likeable scumbag in the vein of Han Solo, shes the perfect vehicle to get me engaged with a new Star Wars story. The actual vehicles, on the other hand, might turn me off.

Yesterdays Ubisoft Forward showcase spent a long time dwelling on Star Wars Outlaws. Its clearly the companys golden goose, along with Assassins Creed Shadows, and its putting all of its eggs in these two multi-million dollar baskets. While the gunslinging and adventuring looked interesting, the extended space battle gave me the opposite feeling.

Its hard to get space travel right. One of the best attempts in recent years is another Star Wars game, Squadrons. It nailed the series iconic dogfights especially in VR weaving together the chaos of war with effective ship-handling mechanics to create an atmosphere that was hectic but controlled.

On the contrary, Outlaws fights already seem a little off. If the trailer, which is supposed to be a red hot sizzle reel of the best the game can offer, shows a player missing the target numerous times, turning sluggishly, and generally handling poorly. Of course, this could all be different by the time we get our hands on the spaceship, or it could feel very different to how it looks, but its a little worrying.

Something that definitely wont feel better, however, is the fast travel between planets. The gameplay clearly showed that you just need to select a planet from a menu to start a cutscene, after which you arrive in its atmosphere. From there, you can select a landing spot to trigger another cutscene, after which you turn up on the planet. Why are we still doing this?

This is a direct parallel to Starfields space travel. Which was fundamentally terrible. Why did we need to watch three (or more) cutscenes to get around the galaxy? I understand that not everyone wants to play an Elite Dangerous-esque simulator, but why cant we fast travel from one planets surface to another?

The answer is that games want to make space interesting. Interesting in the eyes of Bethesda and Ubisoft is having an engagement in the planetary atmosphere. Maybe its a trader, a distress call, or an enemy who immediately opens fire at you. If you could skip the atmospheric scene, you would miss all these storytelling opportunities. But would this be such a bad thing?

Games are big enough already. Outlaws has gunplay, stealth sections, vehicular travel on the surface (the speeder looks excellent, by the way). Its got story, its got Star Wars Easter Eggs, its got exploration, its got your lil pet. Do we need space battles on top of that? Maybe the devs wanted to include it because its a very Star Wars thing, but Id prefer one takeoff-hyperspace-landing cutscene to half-baked spaceflight broken up by three separate cutscenes. It would be less work, and a better experience for the player, especially considering well be zipping back and forth between planets on a regular basis.

Outlaws does have one advantage, however: its planets. At least when you arrive on a planet in the Ubisoft title, youll know its full of stuff to do. Starfields empty planets exacerbated the travel problem because, when you arrived after the three cutscenes, you were met with procedurally-generated emptiness.

Im willing to give Star Wars Outlaws a chance, but the space sections are already giving me the ick. I hope that the planet surfaces hold enough excitement to make the painful fast travel worth it.

We just got another extended look at Star Wars Outlaws' gameplay at Ubisoft Forward.

View post:

Star Wars Outlaws' Space Travel Looks Disappointingly Similar To Starfield's - TheGamer

NASA astronauts pilot Starliner crewed test to Station – Theredstonerocket

NASA astronauts Butch Wilmore and Suni Williams have traveled on the first crewed flight test aboard Boeings Starliner spacecraft which docked with the International Space Station.

As part of NASAs Boeing Crew Flight Test, the astronauts lifted off at 9:52 a.m. June 5 on a United Launch Alliance Atlas V rocket from Space Launch Complex-41 at Cape Canaveral Space Force Station on an end-to-end test of the Starliner system.

Two bold NASA astronauts are well on their way on this historic first test flight of a brand-new spacecraft, NASA Administrator Bill Nelson said. Boeings Starliner marks a new chapter of American exploration. Human spaceflight is a daring task but thats why its worth doing. Its an exciting time for NASA, our commercial partners, and the future of exploration. Go Starliner, Go Butch and Suni!

As part ofNASAs Commercial Crew Program, the flight test will help validate the transportation system, launch pad, rocket, spacecraft, in-orbit operations capabilities, and return to Earth with astronauts aboard as the agency prepares to certify Starliner for rotational missions to the space station. Starliner previously flew two uncrewed orbital flights, including a test to and from the space station, along with a pad abort demonstration.

With Starliners launch, separation from the rocket, and arrival on orbit, Boeings Crew Flight Test is right on track, Mark Nappi, vice president and program manager of Boeings Commercial Crew Program, said. Everyone is focused on giving Suni and Butch a safe, comfortable, ride and performing a successful test mission from start to finish.

During Starliners flight, Boeing will monitor a series of automatic spacecraft maneuvers from its mission control center in Houston. NASA teams will monitor space station operations throughout the flight from the Mission Control Center at the agencys Johnson Space Center.

Flying crew on Starliner represents over a decade of work by the Commercial Crew Program and our partners at Boeing and ULA, Steve Stich, manager, Commercial Crew Program, at NASAs Johnson Space Center, said. For many of us, this is a career-defining moment bringing on a new crew transportation capability for our agency and our nation. We are going to take it one step at a time, putting Starliner through its paces, and remaining vigilant until Butch and Suni safely touch down back on Earth at the conclusion of this test flight.

Starliner autonomously docked to the forward-facing port of the stations Harmony module Thursday and would remain at the orbital laboratory for about a week.

Wilmore and Williams will help verify the spacecraft is performing as intended by testing the environmental control system, the displays and control system, and by maneuvering the thrusters, among other tests during flight.

After arriving at the space station, Wilmore and Williams joined the Expedition 71 crew of NASA astronauts Michael Barratt, Matt Dominick, Tracy C. Dyson, and Jeanette Epps, and Roscosmos cosmonauts Nikolai Chub, Alexander Grebenkin and Oleg Kononenko.

The Huntsville Operations Support Center at Marshall Space Flight Center provides engineering and mission operations support for the space station, the Commercial Crew Program, and Artemis missions, as well as science and technology demonstration missions. ThePayload Operations Integration Centerwithin HOSC operates, plans and coordinates the science experiments onboard the space station 365 days a year, 24 hours a day. The Commercial Crew Program support team at Marshall provides crucial programmatic, engineering, and safety and mission assurance expertise for launch vehicles, spacecraft propulsion, and integrated vehicle performance.

A flag-raising ceremony was held May 2 outside the HOSC for Marshalls support of the mission. The ceremony was a joint effort between the Payload and Mission Operations Division and Commercial Crew Program team.

Read the original post:

NASA astronauts pilot Starliner crewed test to Station - Theredstonerocket

Spaceflight is hard on humans, but scientists see no showstoppers – The Washington Post

Spaceflight can be brutal on the human body bones lose density, muscles atrophy, the immune system goes haywire and countermeasures will be necessary if large numbers of people will be routinely living and working in space, according to a massive array of research papers published Tuesday.

But authors of the new research said there is nothing they have seen so far that would prevent the continued expansion of humanity into space, including long-duration journeys to Mars.

Theres no showstopper, said Christopher Mason, professor of physiology and biophysics at Weill Cornell Medicine and one of the leaders of the new research. Theres no reason we shouldnt be able to safely get to Mars and back.

In a conference call with reporters, Mason noted that women seem to be better able to withstand the stress of spaceflight, which could be associated with the ability to give birth and tolerate large changes in physiology and fluid dynamics.

This remains a preliminary finding, and researchers are eager to see more women in the cohort of astronauts involved in these studies, said Susan Bailey, a biological scientist at Colorado State University who is part of the research effort. She also noted that earlier studies suggested that women exposed to space radiation might be more susceptible to certain kinds of cancer.

The massive trove of new data, dubbed the Space Omics and Medical Atlas (SOMA), has been made public and is detailed in research papers published in the Nature Portfolio journals. It is the most comprehensive medical database showing what happens to astronauts when they leave the comfortable terrain where our species evolved.

The studies rely in large part on Inspiration4, a privately funded, all-civilian orbital mission launched by SpaceX in 2021. The four volunteers spent three days in space, and provided biospecimens before, during and after the mission. The researchers also looked at medical and biological research on 64 NASA astronauts.

Human beings have been going into space for the past 63 years, but scientists are still trying to figure out exactly what is happening to bodies and minds not accustomed to zero gravity and the radiation environment beyond the atmosphere.

With commercial spaceflight booming, and national space agencies focused anew on sending people to the moon and eventually to Mars, scientists and medical professionals are hoping to develop new medicines and tools to limit or repair the damage done by prolonged exposure to space.

While innovation across the aerospace sector makes these ambitions technologically achievable, the biomedical challenges for crews in these extraplanetary habitats still need to be addressed, as humans did not evolve to survive in such extreme environments, one of the reports states.

Mason said he saw no red flags preventing a Mars mission, but researcher Afshin Beheshti of the Blue Marble Space Institute of Science said one paper raises a yellow flag the higher risk of kidney stones.

Kidney stones, halfway to Mars, how are you going to treat that? Beheshti said.

The most significant risk of long-duration spaceflight may not be physiological at all. Astronauts working in confined spaces over long periods of time potentially face problems with social cohesion, the researchers noted. Because space is not where anyone wants to have a bad roommate.

Continued here:

Spaceflight is hard on humans, but scientists see no showstoppers - The Washington Post

China selects new batch of astronauts with an eye on the moon – SpaceNews

HELSINKI Chinas human spaceflight agency announced the selection of 10 new astronauts Tuesday, aiming to bolster its spaceflight capabilities for future missions, including potential crewed lunar landings.

The China Manned Space Engineering Office (CMSEO) selected 10 astronauts for its fourth batch of astronauts, it announced June 11. The 10 consist of eight pilots and two payload specialists. The latter pair are Chinas first astronauts from Hong Kong and Macao special administrative regions.

The selected will receive systematic training at the Astronaut Center of China (ACC). They will be eligible for flights to the Tiangong space station after two years of basic training.

China started recruiting its fourth batch of astronauts in October 2022. Candidates went through preliminary selection, re-selection, and final selection. These phases included comprehensive and in-depth clinical medical examinations, physiological and psychological tests and endurance and adaptability to the space environment tests.

CMSEO selected 14 astronauts from air force pilots in 1998 for its first spaceflight missions. Yang Liwei became the first Chinese national to reach orbit in 2023. A second selection saw an additional seven astronauts chosen in 2010, including Chinas first women astronauts. China selected 18 new astronauts in a third round in 2020. These consisted of space pilots and, for the first time, flight engineers and payload specialists.

Candidates from the third round are now being added to flights to Tiangong. Tang Shengjie and Jiang Xinlin, currently aboard Tiangong as part of the Shenzhou-18 mission, are from the third selection round.

CMSEO, which operates under the Peoples Liberation Army, did not reveal identities of the astronauts, nor the gender ratio of the group. The 2020 selection of 18 astronauts included just one woman. A Hongkonger woman is one of the payload specialists for the fourth batch, according to the South China Morning Post.

Chinas human spaceflight activities are relatively secretive. CMSEO only reveals identities of crew members for Shenzhou missions to Tiangong via press conferences a day ahead of launch.

CMSEO also reiterated that it is looking to send international astronauts to Tiangong.

Astronaut selection and training system has become more mature and complete. With the deepening of international cooperation in human space flight, foreign astronauts will also participate in the selection and training and carry out Chinese space station flight missions, the CMSEO statement said.

The agency has made several statements on foreign astronauts flying on Chinese missions but has yet to indicate a timeline or nations from which potential astronauts may come. The European Space Agency is no longer considering sending its astronauts to Tiangong, despite earlier joint trainings.

China also has its sights set further afield. The country is targeting putting a pair of astronauts on the moon before 2030. This is part of the countrys growing human spaceflight ambitions, including expanding Tiangong and a sustained lunar presence.

Huang Weifen, chief designer of the astronaut system of Chinas human spaceflight program, told CCTV that ACC is focusing on the major tasks of the space station and future lunar missions.

Huang stated that geology-related courses have been opened, and field training and site surveys will be conducted. Chinese astronaut Ye Guangfu participated in ESAs underground astronaut training course CAVES in 2016. A lunar landing mission training simulator is being developed to allow relevant training to be carried out.

Chinas initial crewed lunar landing plan is a short-term mission. However the country plans to establish an International Lunar Research Station (ILRS) for a more permanent presence. It is also planning to expand Tiangong with further modules, providing further opportunities for spaceflight.

See the original post:

China selects new batch of astronauts with an eye on the moon - SpaceNews