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.

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

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.

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

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

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.

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

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.

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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.

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

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.

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

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.

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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).

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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.

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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.

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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.

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

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.

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

Space travel weakens astronauts’ immune system, similar to aging – Earth.com

Space, the final frontier. Its a captivating expanse that has drawn human curiosity and exploration for decades. Yet, as astronauts venture beyond Earths atmosphere, they encounter a unique set of challenges, one of which is the profound impact that space travel has on the immune system and human body.

Researchers from the Buck Institute for Research on Aging have unveiled insights into how the lack of gravity affects the immune system, offering potential solutions for astronauts and potentially even those of us who remain Earthbound.

To fully appreciate the impact of this research, its essential to have a foundational understanding of the immune system.

Our bodies possess a remarkable defense mechanism, a complex and interconnected network of cells, tissues, and organs that tirelessly work to safeguard us from a constant barrage of external threats.

These threats, in the form of bacteria, viruses, and parasites, are always seeking opportunities to invade our bodies and cause harm.

Our immune system, however, is not a passive bystander. Its an active and dynamic force that constantly monitors our internal environment, identifies potential dangers, and launches targeted responses to neutralize them.

Key players in this defense system are lymphocytes and monocytes, immune cells that circulate in our blood.

Throughout the history of space exploration, astronauts have consistently reported a range of immune-related complications during and after their missions.

These complications include a heightened susceptibility to infections, where astronauts become more prone to illnesses caused by various pathogens.

Additionally, astronauts have experienced the reactivation of latent viruses, such as the varicella-zoster virus responsible for chickenpox and shingles.

Furthermore, heightened skin sensitivity, manifesting as rashes or irritations, has also been observed.

Disturbingly, these immune-related issues can arise even during short-duration spaceflights, underscoring the rapid and significant impact that microgravity has on the immune system.

The fact that even brief exposures to space can trigger these complications emphasizes the urgency of understanding and mitigating these risks for the well-being of astronauts venturing beyond Earth.

Prior research had provided evidence suggesting that microgravity, the condition of near-weightlessness experienced in space, could negatively impact the function of immune cells.

However, the specific biological mechanisms responsible for this impairment remained unclear.

To address this knowledge gap, the research team at the Buck Institute, spearheaded by Dr. David Furman and Dr. Daniel Winer, initiated a study to investigate the effects of simulated microgravity on human immune cells.

Their goal was to uncover the underlying processes that contribute to immune dysfunction in microgravity environments, with the ultimate aim of developing strategies to protect astronauts health during space missions.

Using a device developed by NASA to mimic the near-weightlessness of space, the researchers exposed immune cells from healthy volunteers to simulated microgravity for 25 hours.

Through advanced techniques like sequencing and super-resolution microscopy, they captured a detailed picture of how the cells functions were altered in this unique environment.

What they discovered was both fascinating and unexpected. The changes observed in the immune cells of astronauts during spaceflight mirrored those seen in the aging process here on Earth.

This revelation suggests a potential link between microgravity and immune aging, opening up new avenues for research into both space medicine and strategies to combat age-related immune decline.

Dr. Winer, an expert in mechanoimmunology (the study of how environmental forces affect immune cell function), highlighted the crucial role of mechanical forces in orchestrating immune responses.

Interestingly, changes in mechanical forces appear to orchestrate immune cell function, said Winer. Parts of astroimmunology.

The study of immune system changes in space, are related to mechanoimmunolgy paving the way to better understand how to help the immune system survive in space.

Armed with a deeper understanding of the mechanisms behind immune dysfunction in microgravity, the researchers turned their attention to potential countermeasures.

Leveraging machine learning technology, they identified numerous compounds that could potentially protect immune cells.

One compound, quercetin, a natural plant pigment found in various fruits and vegetables, emerged as a promising candidate.

Quercetin was shown to reverse a significant portion of the changes caused by microgravity and shield immune cells from damage.

The Buck Institute teams findings have far-reaching implications.

These findings define hallmarks of immune cell alteration in simulated microgravity, with correlation to spaceflight exposures in mice and humans. This work helps define avenues for future research in mechanoimmunology and astroimmunology and provides opportunities to develop countermeasures to maintain normal cellular function in space, Dr. Winer emphasized.

Dr. Furman added that this study serves as a valuable resource for the scientific community, providing a comprehensive atlas of human biology in the extreme environment of space.

The research also opens doors to explore the parallels between spaceflight-induced immune changes and those associated with aging, potentially leading to interventions that could reverse age-related immune dysfunction.

As humanity continues its journey into space, understanding and mitigating the health risks associated with space travel becomes increasingly critical.

This research not only paves the way for protecting astronauts immune systems but also offers potential benefits for people on Earth, particularly in the realm of aging research.

The cosmos, it seems, holds clues not just to the mysteries of the universe but also to the intricacies of our own biology.

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The Exploration Co. To Provide Cargo Services To Vasts Space Station – Aviation Week

Private space station developer Vast Space has signed a cargo services agreement with The Exploration Co. of Munich.

The agreement follows a memorandum of understanding (MOU) that Vast of Long Beach, California, recently signed with the European Space Agency (ESA) to collaborate on astronaut missions, research and commercial business development. As part of that agreement, Vast would also look at using European cargo and crew transport services at market rates or as an in-kind trade for ESA astronaut missions.

The Exploration Co. is developing a reusable space capsule, called Nyx, that would be used to supply cargo to Vasts second Haven space station in 2028, per the agreement, The Exploration Co. said on June 11. The Nyx cargo vehicle is expected to carry more than 4,000 kg (8,800 lb.) to low Earth orbit (LEO) and bring back to Earth more than 2,600 kg. The Exploration Co. plans to charge $150 million for each resupply cargo mission to an LEO space station, its website says.

Vast is excited to partner with The Exploration Co. as we strengthen our collaboration with European industry and enable human space exploration with ESA-member space agencies such as [The German Aerospace Center], Vast CEO Max Haot says.

Vast and SpaceX in May 2023 announced a plan to launch Haven-1 as soon as August 2025. The commercial space station would feature the ability to spin and generate enough centripetal force to create the equivalent of gravity on the Moon. The space station would rely partially on the SpaceX Dragon capsules life support system to sustain a crew for 30 days.

European space missions could begin flying to Vasts space station as soon as 2026, Vast has said.

With the International Space Station retiring in 2030, space agencies are looking to private station developers to host their research and development projects in LEO. In addition to space agencies, private station developers are looking to an emerging market of businesses for conducting research and development, as well as manufacturing, in microgravity.

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The Exploration Co. To Provide Cargo Services To Vasts Space Station - Aviation Week

Spatial multi-omics of human skin reveals KRAS and inflammatory responses to spaceflight – Nature.com

Transcriptome-wide changes in response to spaceflight

To understand the impact of spaceflight to skin and tissue microenvironment, paired 4mm skin punch biopsies from Inspiration4 crew members upper arms were used for pathology evaluation and spatial transcriptomics profiling (Fig.1a and Supplementary Fig.1). In total, 95 ROIs were collected across 16 slides for processing, with the GeoMx whole transcriptome profiling probe set (18,422 probes). Based on imaging we selected four region types of interest, including the outer epidermis, inner epidermis, outer dermis, and the vasculature (OE, IE, OD, and VA). We also performed a skin histopathology analysis from the biopsied samples, which showed no significant abnormalities or changes in tissue morphologies or gross architecture (Supplementary Fig.2).

a Experimental design and workflow with representative tissue staining images (created with BioRender.com), b Uniform Manifold Approximation and Projection (UMAP) of all ROIs collected, c Volcano plot of overall post- vs. pre-spaceflight DEGs (using DESeq2 method), d Pathway enrichment analysis comparing DEGs from pre- and post-spaceflight skin tissues, visualizing normalized enrichment scores of MSigDB Hallmark pathways, and e Cell proportion comparisons between pre- and post-spaceflight samples (ns non-significant, *p0.05, **p0.01, ***p0.001, and ****p0.0001 by Wilcoxon test, two-sided; boxplot shows median/horizontal line inside the box, the interquartile range/box boundaries, whiskers extending to 1.5 times the interquartile range, and outliers as individual points outside the whiskers; exact p values are included in the Source Data). Source data are provided as a Source Data file.

From GeoMx spatial transcriptomics analysis, unsupervised clustering of all ROIs showed large clustering around compartmental identities. Slight shifts in response to spaceflight, and batch effects from both technical and biological replicates were not apparent after normalization (Fig.1b and Supplementary Fig.3a). Differential gene expression analysis comparing post-spaceflight to pre-spaceflight samples found significant upregulation in 95 genes (log2FC>0 and q value<0.05 by DESeq2) including ARHGAP31, GALNT9, CPNE2, NMB, GPR50, CLDN2, OOSP2, and downregulation in 121 genes (log2FC<0 and q value<0.05 by DESeq2) such as AP3B1, LMNA, COL6A2, VIM, HLA-B, PPP1CB, PABPC1 (Fig.1c and Supplementary Data1). Furthermore, proteins associated with cell junctions and extracellular matricesparticularly those from vimentin (VIM) and keratin (KRT) familywere the primary transcripts lost based on the DEG analyses.

Pathway analysis of these differentially expressed genes (DEGs) revealed statistically significant enrichment in kirsten rat sarcoma viral oncogene homolog (KRAS) signaling pathways, while transcripts associated with cell junctions and protein (i.e., apical junction, unfolded protein response) decreased (Fig.1d and Supplementary Data2). From expression levels, cell type composition for each ROI was estimated and compared across timepoints. We also observed statistically significant decreases in the cell type associated gene signatures of the major skin cell types and immune cells (e.g., melanocyte, pericyte, fibroblast, and T cells) (Fig.1e).

We then investigated region-specific expression changes across pre- and post-spaceflight samples for each ROI type label (OE, IE, OD, and VA). OE and IE regions were selected based on and corresponds to stratum granulosum and spinosum/basal, respectively. OD ROIs were selected by capturing a minimum of 200 cells inside of the basal cell layer (therefore mostly papillary layer), while VA ROIs were collected based on epithelial (FAP) and fibroblast (SMA) staining (Fig.1a). We observed transcripts specific to each ROI label and timepoint (Supplementary Fig.3b, c).

For each ROI type, differential gene expression analyses were performed comparing postflight samples relative to preflight samples (Fig.2a and Supplementary Data1). For example, we found that the decrease in transcripts related to fibroblast and junction genes (e.g., DES, ACTA2, TLN1, TAGLN) specifically near the vasculature sites (VA). Loss of KRT14 as well as other keratin family transcripts (KRT1, 5, and 10) were found predominantly in the dermal layer (OD). Taking the intersections of these DEGs to identify unique and overlapping genes across ROI types, we confirmed that most of the gene overlaps occur within ROI types that are relatively close to each other (i.e., VA and OD) (Fig.2b). In particular, changes in AP3B1, a transcript related to granule formation, cytokine production, and inflammatory responses, were found in multiple comparisons (overall, OE, and OD) and was orthogonally validated with another technology, RNA scope (Supplementary Fig.4ac)23. In the inner layers of the tissue (OD and VA), we found overlapping DEGs related to stress and growth factor associated pathways, such as COL6A2, CRKL, HLA-B.

a Volcano plot showing DEGs by ROI typesOE, IE, OD, and VA respectively; the number of DEGs were determined by cutoffs of adjusted p value<0.1 and |log2FC|>0.5 (using DESeq2 method), b UpSet plots comparing the intersections of region-specific DEGs, c Hallmark, non-germline gene set enrichment analysis across four ROI types; NES Normalized Enrichment Scores; Arrow indicates tissue locations, where OE is the outermost layer and VA is the innermost layer. Source data are provided as a Source Data file.

Gene set enrichment analysis (GSEA) revealed the consistent increase of KRAS signaling and inflammatory responses across all regions while specific immune pathways such as Interferon alpha and gamma response showed positive enrichment only in epidermal regions (OE and IE) (Fig.2c and Supplementary Data2). Pathways such as DNA repair, apoptosis, and UV response, reactive oxygen species were enriched only in the OE. We observed downregulation in genes involved with mitochondrial metabolism (e.g., myc target genes and oxidative phosphorylation) across all regions, particularly stronger in IE and OD ROIs. Also, the myogenesis pathway and EMT-related genes showed stronger decrease in enrichment scores in the VA ROIs, underscoring the region- and layer-specific responses to spaceflight. Comparing the pathway-level changes to blood sequencing datasets from the same mission and previous mission (NASA Twin Study, although with different duration of exposure), we found consistent changes in pathways such as KRAS signaling, epithelial-to-mesenchymal transition, and angiogenesis (Supplementary Fig.4d)5.

In addition to differential analyses, we also found that the marker genes reported to be specific to each skin layer and cell type corresponded to the expression levels in each ROI type and were consistent with the previous findings (Supplementary Fig.3b, c)24,25,26. Based on the reference datasets, deconvolved cell type abundances were compared across ROI types and timepoints (Supplementary Fig.5a). We found a loss of melanocyte related gene signatures specifically in the middle layers (IE and OD), not in the outermost region (OE) or vascular region deeper in the dermal layer (VA). On the contrary, fibroblast related gene expressions were decreased across all regions except for the outermost epidermal layer (OE). Although fibroblast is an unanticipated cell type in the epidermis ROIs, decreased fibroblast signature could indicate loss or damage of cellular and matrix interactions, consistent with previous reports highlighting the role of fibroblasts with epidermal regeneration (Supplementary Fig.5b, c)27,28.

To investigate the phenotypic impact of spaceflight, we then focused on genes and pathways related to skin barrier formation, disruption, and regeneration. From the pathway analysis, we found enrichment changes in apical junction, UV stress response, hypoxia, and TGF signaling (Fig.2c and Supplementary Data2). Specifically, we observed a decrease in filaggrin (FLG) expression, a gene related to skin barrier function and plays a crucial role during epidermal differentiation by controlling interactions across cytoskeleton components, in postflight relative to preflight samples29. The decrease of FLG was the most evident in the OE region (Supplementary Data1). Related to this observation, we also observed decreases in transcripts such as HAS1, HAS2, HAS3, OCLN, CLDN, TGM2 in the OE region (Fig.3a).

a Gene expression changes of interest, b fold change of proportions in post-flight samples relative to pre-flight samples, by compartments, c cell type correlation matrix changes. Black boxes represent undetermined spots (due to minimal cell counts); boxes with X marks represent correlations that did not pass statistical testing (p value<0.05, Pearson correlation, two-sided). Source data are provided as a Source Data file.

The decrease in protein production and response potentially are connected to decrease in keratinocyte and increase in immune signatures (potentially related to interactions with T cells and fibroblasts) in OE region ROIs (Fig.3b)30. Although weaker, the IE region shows a similar trend of cell proportion fold changes. Specifically, among fibroblast populations we also found that gene signatures of reticular fibroblast increased in postflight samples while there were no statistically significant changes in papillary fibroblast, suggesting disruptions in regeneration processes (Supplementary Fig.5b, c)31,32. Taking co-occurrence of the proportion changes, cellular interactions within the ROIs were estimated. While cluster disruption was relatively minimal, an increase in melanocyte-macrophage interactions were found in the epidermis (OE and IE) ROIs (Fig.3c). In addition, expression changes related to vascular and lymphatic endothelial cells and pericytes varied across the skin regions. The most pronounced cell signature changes were seen in the OE and VA compartments. In the OE compartment, we observed an increase in signatures related to lymphatic endothelial cells, potentially indicating the changes in the skins vascular and immune system (Fig.3b). While blood and lymphatic capillaries are not typically found in the epidermis, these adaptations may be suggestive of a wound-healing phenotype with the skin, which is supported by our results showing increased damage, inflammation, apoptosis, ROS, hypoxia, angiogenesis, TGF-beta expression, etc., in the epidermis (Fig.2c)33,34. On the other hand, in the VA compartment, there was an increase of gene signatures related to blood endothelium and decrease in lymphatic endothelium, also associated with vascular remodeling events.

To test whether immune activation and epithelial barrier disruption can be explained with external environmental change, we performed metagenomics and metatranscriptomics analysis on the skin swabs collected right before biopsies (Supplementary Fig.6a). After assignment of taxonomic labels to DNA sequences, we identified 826 bacterial and 9819 viral species with non-zero counts from metagenomics analysis, and 88 bacterial and 1456 viral species from metatranscriptomics analysis (Supplementary Data3). From PCA analysis, no major clustering was observed, although post flight samples were located closer to one another in the PCA space (Fig.4a). The shifts of the samples were mostly from species from Staphylococcus and Streptococcus family, along the PC2 axis. Slight decrease in overall numbers of bacterial and viral species was observed in postflight samples relative to preflight, with one exception of C003 in metagenomics data and of C004 in metatranscriptomics data (Fig.4b). Gross comparison of bacterial species by family showed decreased abundance in Actinobacteria (e.g., Actinomyces sp000220835) while increased abundance in Firmicutes/Bacillota (e.g., Peptoniphilus C/B) and Proteobacteria/Pseudomonadota (e.g., Caulobacter vibrioides, Sphingomonas carotinifaciens, Roseomonas mucosa/nepalensis) (Fig.4c, d and Supplementary Fig.6b). When grouped into genus, several species, including Cutibacterium (e.g., Cutibacterium acnes/avidum/modestum/porci), Mycobacterium (e.g., Mycobacterium paragordonae, Mycobacterium phocaicum), and Pseudomonas (e.g., Pseudomonas aeruginosa/nitroreducens) showed statistically significant decrease (p values<0.05). Several species including Streptococcus (e.g., Staphylococcus capitis, Streptococcus mitis BB) and Veillonella (e.g., Veillonella atypica/parvula/rogosae) showed significant increase (Fig.4d). Also, species under the Staphylococcus genus, such as staphylococcus capitis/epidermidis/saprophyticus showed slight decrease while the relative abundances were highly variable across biological replicates.

a PCA across all metagenomic and metatranscriptomic (bacterial and viral reads) relative abundance features and all crew members pre- and post-flight, b Total number of bacterial and viral species with nonzero counts, c Relative abundances by sample and timepoint, grouped by family, d Changes in relative abundance before and after spaceflight, grouped by genus; statistically significant or previously reported microbes are visualized (two-sided Wilcoxon test across four crew members was performed to compare means between pre- and post-flight samples and to obtain p values, and error bars represent the standard error of the mean), and e Correlation across relative abundance of bacterial phyla identified by metagenomics data and known barrier/immune genes associated with skin diseases and disruptions. Source data are provided as a Source Data file.

Changes of bacterial species were then linked to skin gene expression profiles, especially dermatitis-related genes (i.e., STAT3, STAT5B, FLG, CDSN, and ADAM17) previously associated with Staphylococcus species, as Staphylococcus aureus-dependent atopic dermatitis have been reported to activate immune system and reduce microbe diversity35,36,37 (Fig.4e and Supplementary Fig.6c). When subsetting previously reported bacterial species and associated genes, we found Staphylococcus species show an inverse relationship with JAK1 (Fig.4e). In particular, Staphylococcus correlates closely to FLG, SPINK5, and DSG1, all of which are related with epithelial barriers (stratum corneum and junctional barriers)38. Also, microbes belong to Carnobacteriaceae, Lactobacillaceae, Nanosynbacteraceae, and Weeksellaceae families showed high correlation with both barrier and immune genes (CDSN, DSP, DSG1, SPINK5, FLG, and JAK1), whereas common skin microbes from Dermatophilaceae and Dermabacteraceae families showed no correlation. Although larger sample size is needed, it is possible that skin microbiome disruptions, such as those observed in these bacterial families, also contribute to barrier disruption and immune activation during short-term spaceflight.

In addition, from alignment to known viral assemblies we found statistically significant decrease in abundance of reads associated with those from Uroviricota (i.e., Fromanvirus, Acadianvirus, Armstrongvirus, Amginevirus, Bixzunavirus) and Naldaviricetes (i.e., Alphabaculovirus), and increased abundance of reads associated with those from Negarnaviricota (i.e., Almendravirus, Orthotospovirus) and Cossaviricota (i.e., Betapapillomavirus, Betapolyomavirus) (p values<0.05). Virome changes are limited by the depth of the sequencing and skin virome knowledge, however we also report relative abundances of both bacterial and viral species (Supplementary Data3). To explore microbiota-skin interactions, we also identified potential associations between microbiome shifts from metagenomics/metatranscriptomics data and human gene expression from skin spatial transcriptomics data; these included associations were with viral phyla (i.e., Uroviricota, Cressdnaviricota, Phixviricota), which is a potentially interesting area to explore as more crew samples are collected. (Supplementary Fig.6d, e and Supplementary Data3).

To investigate immune changes that occur beneath the epidermis we also examined changes in immune cells in the profiled vascular regions vs. PBMCs. We saw overall decrease of T cells and increase of macrophage DCs in VA ROIs (Fig.3b), indicating an immune-epidermis interaction. Related to this, we also observed increased cytokines and inflammatory signals including IL4, IL5, and IFNG in the inner regions (VA and OD ROIs) of the tissue (Fig.5a)39,40. As a confirmation, we observed that these specific cytokines are also shown to be increased in cytokine assays from the crew members serum samples (Fig.5b). To compare immune change observations from VA ROIs to system-wide immune system changes, we performed leveraged 10X multiome sequencing (dual snRNA and ATAC sequencing from each cell) on timepoint-matched PBMCs from the crew members (Supplementary Fig.7a). We analyzed 151,411 cells across 9 gross cell types and performed differential expression analysis (Supplementary Fig.7b, c). Overall, we observed fluctuations of T-cells across timepoints, consistent to the observations from skin spatial transcriptomics data (Fig.5c, d and Supplementary Fig.7d). Among 555 DEGs from multiome samples and 446 DEGs from GeoMx VA ROIs, 12 overlapping DEGs were found (both log2FC>0.1 and p values<0.01, DESeq2), including ATP11A, CEP85L, CEPT1, DMXL1, DOP1A, EVI5, GSAP, MDFIC, SENP7, TBCK, VAV3, and VPS13C (Fig.5c and Supplementary Fig.7c). Several of these genes are related to cellular metabolism and cytosolic transports. In particular, VAV3, one of signaling adapters in NK/T cell activation, has been previously reported to be associated with atopic dermatitis onset41,42,43. While all these overlapping DEGs were temporary in PBMCs, i.e., upregulated in the immediate postflight samples (R+1 timepoint) and returned to pre-flight expression levels, the chromatin accessibility of these genes stayed slightly longer, up to R+45 timepoint (Fig.5d).

a Notable cytokine changes and locations from (a) skin transcriptomics data by region and, b cytokine assay from serum samples (sig. Indicates overall statistical significance of the cytokine levels in the postflight samples relative to the preflight samples, where red indicates significantly increased, and green means stable/no change; two-sided Wilcoxon test was done with the p value cutoff of 0.05), c Comparison of DEGs between PBMC multiome data and spatial transcriptomics data from VA ROIs, d Dot plots visualizing mRNA transcript expression levels (left) and gene activity score from ATAC signals (right), where preflight samples were collected 44 days before launch (L-44) and postflight samples were collected 1, 45, and 82 days post return (R+1, R+45, and R+82, respectively), e Flight and cell type specific gene signature enrichment in spatial data by timepoint and ROI types, f gene signature enrichment analysis using gene signatures built from skin disease-related gene expression profiles; two-sided Wilcoxon test across four crew members and 95 ROIs was performed to obtain p value, where *p0.05 and **p0.01, and error bars represents standard deviation of the mean. Source data are provided as a Source Data file.

Finally, we derived cell type- and spaceflight-specific gene signatures from the multiome data, to examine any enrichment in the GeoMx samples (using single-sample gene set enrichment analysis, or ssGSEA approach) (Fig.5e). Most of the immune cell specific postflight DEGs enrichments were near the innermost ROIs (OD and VA), except for T cells (both CD4+ and CD8+), which showed enrichment in the postflight OE ROIs. While it was previously reported that spaceflight stressors change the immune system, increased enrichment of the T cells in the epidermal region correlates with activated T cell activity and connects to inflammatory responses and barrier disruptions44,45,46,47,48. Lastly, we found that these increased T cell signatures in the OE region may not have direct connection to Th17 T cells or psoriasis, rather have closer connection to the antigen-associated and lymphatic T cells infiltrated from inner layers of the skin (Fig.5f)49,50. Also, the ssGSEA analysis using skin disease-associated gene signatures showed a slight increase in melanoma signatures. The slight increase can be explained with previous observations throughout this manuscript, including increase in cell death, immune activation, and stress response (Supplementary Fig.7e, f), but more research is needed to prove the direct connection or causality of gene expression shifts.

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Spatial multi-omics of human skin reveals KRAS and inflammatory responses to spaceflight - Nature.com

End of an era for Virgin Galactic commercial flights Source New Mexico – Source New Mexico

SPACEPORT AMERICA Virgin Galactic launched its seventh, and last flight with the Unity ship, out of the New Mexico Spaceport Saturday.

The four passengers on the commercial flight and two experiments from Purdue University and University of California Berkeley.

The four customers were Turkish researcher Tuva Atasever; SpaceX propulsion engineer Andy Sadhwani; former real estate developer Irving Izchak Pergament, and London hotel and resort investment strategist Giorgio Manenti.

At an apogee of 54.4 miles, the flight made it into the fuzzy line between the Earths atmosphere and space, defined by NASA as 50 miles above the Earths surface, but below the imaginary boundary of the Kmn Line, measured about 62 miles above the planet.

This flight, sent off with the cheers of several hundred observers, is the last commercial flight for at least two years.

In November Virgin Galactic laid off 185 employees, including 73 in New Mexico, as a strategy to pivot to building space planes with more seats, outlining a plan to fly several times a month when it returns in 2026.

The company has said the facility to build the crafts in Mesa, Arizona, is expected to be operational in 2024.

Virgin Galactics founder, billionaire Richard Branson, appeared at the launch site Saturday outside of Truth or Consequences. Branson joined Virgin Galactic CEO Michael Colglazier in heralding the future of the company.

The new Delta-class of spaceship will be wonderful, Branson said. It will be like building aeroplanes so we can build one after the other, after the other, and in time start bringing the prices down and enabling more people to go to space.

Scott McLaughlin, the executive director at the New Mexico Spaceport Authority at the last commerical launch for Virgin Galactic before the hiatus. (Danielle Prokop / Source NM)

Virgin Galactic founder and British billionaire, Richard Branson, watched the launch Saturday. (Danielle Prokop / Source NM)

The spaceplane separates from the carrier plane, and begins to burn in a rocket stage. (Danielle Prokop / Source NM)

The VSS Unity ship realights after reaching an apogee at 54.4 miles above the earth, in near-space. (Danielle Prokop / Source NM)

Branson, left, joins the passengers for the seventh commercial spaceflight at Spaceport America, along with Virgin Galactic CEO Michael Colglazier, far right. (Source NM / Danielle Prokop)

The 'Gateway to Space' building which Virgin Galactic leases from the New Mexico Spaceport Authority, as seen on Saturday, Jun 8, 2024. (Danielle Prokop / Source NM)

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End of an era for Virgin Galactic commercial flights Source New Mexico - Source New Mexico

Take a video tour of Boeing’s Starliner with its 2 NASA astronauts – Space.com

Two NASA astronauts have filmed a tour of Boeing's Starliner, taking the public around the spacecraft that delivered them to the International Space Station (ISS) on Friday (June 6).

Starliner docked with the ISS Friday at 1:34 p.m. EDT (1734 GMT), 26 hours after the capsule launched on its first-ever crewed flight. The crew are commander Butch Wilmore and pilot Suni Williams, the first two of dozens of astronauts expected to fly to the ISS aboard the Boeing spacecraft.

Wilmore and Williams will stay aboard the ISS until at least June 18, an extension of five or so days beyond what was originally expected. The extra time will allow engineers to perform more checkouts on Starliner and provide margin for an ISS spacewalk on June 13.

Related: Boeing's 1st Starliner astronaut mission extended through June 18

In the meantime, Wilmore and Williams treated us to a guided tour of the interior of Starliner.

Williamsbegins the tour on the ISS with Wilmore behind the camera, pointing to the JapaneseExperiment Module (JEM), nicknamed Kibo, on the port side of the space station. She then indicates Europe's Columbus module on the ISS' starboard side before passing down the Pressurized Mating Adapter (PMA), which links spacecraft like Starliner to the ISS, moving to the docking adapter and finally into Starliner.

The first shot onboard the Boeing craft shows Williams upside down, indicating the two-person crew's ventilation system, which consists of several orange tubes. We then see the cramped-looking crew living area, which Wilmore assures us is actually quite spacious. Let's hope so, because Starliner will ferry four passengers to the ISS next rather than two.

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The tour then reveals the hatch of Starliner, as Wilmore drifts into the craft to sit in his commander's seat while Williams takes her pilot's chair.

This offers the bird's eye view that the crew had during their historic journey to the ISS. Williams also shows the controls that Wilmore used to manually fly Starliner during a series of pre-docking tests.

"Everything's been fantastic. The spacecraft has handled things remarkably well, much better than the simulator, and it's been just a positive event," Wilmore says in the video.

The NASA astronaut then indicates the safety equipment that would be used if the crew had to use the Starliner as a lifeboat in the event of an emergency situation, such as debris approaching the ISS.

Wilmore says he and Williams have already performed a "safe haven" practice event to test the procedure for taking shelter in Starliner. Also among the safety equipment are orange bags with kits that would be used in the event of a toxic chemical leak and respirator masks that would be worn if that situation were to arise.

Before leaving the Starliner craft, Wilmore pays tribute to his and William's fellow U.S. service members.

"In case you were wondering, yes, Suni and I are both Naval aviators, so we put on our Navy paraphernalia to show off and be proud of our service," Wilmore says in the video. "So, thanks to all of you out there serving right now throughout the world and protecting freedom."

Back on the ISS, the tour ends with a sight that will bring life on the space station down to Earth. Wilmore explains that, because it was Saturday, the ISS crew had the vacuum cleaner out cleaning! He then floats the microphone back to Williams, who signs off the tour.

"I'm just super happy to be here on the ISS with our international partners," she says. "It's really awesome to showcase our new spacecraft, Starliner. It is a pretty spectacular event to have humans orbiting the planet, and now we have a number of ways to get people here.Butch and I are so honored to be part of this crew."

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Take a video tour of Boeing's Starliner with its 2 NASA astronauts - Space.com

Watch Japan launch its H3 rocket on return-to-flight mission tonight – Space.com

Japan's new H3 rocket will attempt to bounce back from an explosive failure tonight (Feb. 16), and you can watch the action live.

The H3 is scheduled to lift off from Japan's Tanegashima Space Center tonight during a nearly four-hour window that opens at 7:22 p.m. EST (0022 GMT and 9:22 a.m. Japan Standard Time on Feb. 17).The launch was originally planned for Wednesday (Feb. 14), but bad weather forced a two-day delay.

You can watch it live here at Space.com, courtesy of the Japan Aerospace Exploration Agency, or directly via JAXA. Coverage will begin around 6:20 p.m. EST (2320 GMT).

Related: Japan's new H3 rocket fails on 1st test flight, advanced Earth observation satellite lost

The H3 has flown just once before, on a test flight in March 2023 that attempted to send the DAICHI-3 Earth-observation satellite to orbit. The rocket's second-stage engine failed to ignite on that mission, however, resulting in loss of the satellite.

On tonight's flight, the H3 will carry two small Earth-observation satellites, called CE-SAT-IE and TIRSAT, to sun-synchronous orbit. The main payload, however, is a 5,900-pound (2,600-kilogram) mass simulator, which is standing in for a big-ticket spacecraft.

"The primary purpose of this mission is to evaluate the performance of the H3 rocket and its payload deployment mechanism," EverydayAstronaut.com wrote in a mission description.

JAXA and Mitsubishi Heavy Industries have been developing the H3 for the past decade. The rocket which stands either 187 feet or 207 feet (57 or 63 meters) tall depending on the choice of payload fairing will eventually replace Japan's venerable H-2A rocket, which debuted in 2001.

The H-2A hasn't been put out to pasture yet, however. It lofted the IGS Optical 8 spy satellite for the Japanese government last month, for example. And, in September 2023, it sent Japan's SLIM lander on its way to the moon. SLIM touched down on the lunar surface on Jan. 19, making Japan just the fifth nation to land softly on Earth's nearest neighbor.

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Watch Japan launch its H3 rocket on return-to-flight mission tonight - Space.com

NASA Artemis Science, First Intuitive Machines Flight Head to Moon – NASA

A suite of NASA science instruments and technology demonstrations is on the way to our nearest celestial neighbor for the benefit of humanity. Through this flight to the Moon, they will provide insights into the lunar surface environment and test technologies for future landers and Artemis astronauts.

At 1:05 a.m. EST on Thursday, Intuitive Machines Nova-C lander launched on a SpaceX Falcon 9 rocket from Launch Complex 39A at the agencys Kennedy Space Center in Florida. At approximately 1:53 a.m., the lander deployed from the Falcon 9 second stage. Teams confirmed it made communications contact with the companys mission operations center in Houston. The spacecraft is stable and receiving solar power.

These deliveries are part of NASAs CLPS (Commercial Lunar Payload Services) initiative and Artemis campaign, which includes new solar system science to better understand planetary processes and evolution, search for evidence of water and other resources, and support long-term human exploration.

NASA scientific instruments are on their way to the Moon a giant leap for humanity as we prepare to return to the lunar surface for the first time in more than half a century, said NASA Administrator Bill Nelson. These daring Moon deliveries will not only conduct new science at the Moon, but they are supporting a growing commercial space economy while showing the strength of American technology and innovation. We have so much to learn through CLPS flights that will help us shape the future of human exploration for the Artemis Generation.

While enroute to the Moon, NASA instruments will measure the quantity of cryogenic engine fuel as it is used, and during descent toward the lunar surface, they will collect data on plume-surface interactions and test precision landing technologies.

Once on the Moon, NASA instruments will focus on investigating space weather/lunar surface interactions and radio astronomy. The Nova-C lander also will carry retroreflectors contributing to a network of location markers on the Moon for communication and navigation for future autonomous navigation technologies.

NASA science aboard the lander includes:

Intuitive Machines Nova-C-class lunar lander, named Odysseus, is scheduled to land on the Moons South Pole region near the lunar feature known as Malapert A on Thursday, Feb. 22. This relatively flat and safe region is within the otherwise heavily cratered southern highlands on the side of the Moon visible from Earth. Landing near Malapert A will also help mission planners understand how to communicate and send data back to Earth from a location where Earth is low on the lunar horizon.

The NASA science aboard will spend approximately seven days gathering valuable scientific data about Earths nearest neighbor, helping pave the way for the first woman and first person of color to explore the Moon under Artemis.

Learn more about NASAs CLPS initiative at:

https://www.nasa.gov/clps

-end-

Karen Fox / Alise Fisher Headquarters, Washington 202-358-1600 / 202-358-2546 karen.c.fox@nasa.gov / alise.m.fisher@nasa.gov

Nilufar Ramji Johnson Space Center, Houston 281-483-5111 nilufar.ramji@nasa.gov

Antonia Jaramillo Kennedy Space Center, Florida 321-501-8425 antonia.jaramillobotero@nasa.gov

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Rocket Lab Electron rocket lifts off with space debris removal mission Spaceflight Now – Spaceflight Now

An Electron rocket lifts off from Rocket Labs launch site on New Zealands Mahia Peninsula carrying the ADRAS-J satellite for Astroscale. Image: Rocket Lab.

A small satellite that will inspect a discarded rocket body in orbit lifted off Sunday/Monday on a mission to develop techniques for removing space debris. The satellite built by Japan-based Astroscale launched atop a Rocket Lab Electron from the Mahia Peninsula in New Zealand at 3:52 a.m. NZDT (9:52 a.m. EST / 1452 UTC).

The Active Debris Removal by Astroscale-Japan satellite or ADRAS-J will approach and monitor the spent upper-stage rocket of an H-2A rocket that launched in January 2009. It is part of the Japanese space agencys (JAXA) Commercial Removal of Debris Demonstration program and is designed to lay the ground work for a future mission to deobit the rocket stage, tentatively scheduled for 2026. A contract has yet to be awarded for this second phase of the program.

ADRAS-J was deployed 64 minutes into flight after two firings of the Electrons Curie kick stage to precisely place the spacecraft on course for its rendezvous in space.

100% mission success, Rocket Lab CEO Peter Beck wrote in a social media post. Big day for the GNC [Guidance Navigation and Control] team with perfect argument of perigee targeting.

The mission, nick named On Closer Inspection, was the 44th Electron launch to date and Rocket Labs second mission of 2024.

The ADRAS-J spacecraft will initially close in on the derelict rocket body using ground-based observation data but will then switch to on-board sensors to complete the rendezvous. It is equipped with visual and infrared cameras and LiDAR sensors. Once in close proximity, it will assess the rocket bodys condition and gauge the extent to which it might be tumbling. It will circle the upper-stage and make a close approach, but will not attempt to latch on to the rocket.

The H-2A upper stage is currently in a 622 x 557 km orbit, inclined at 98.2 degrees to the equator, has a mass of three tonnes, is 11 meters long and a diameter of four meters.

Taking images in space might sound easy, but doing it with an unprepared object that does not provide any location data on its own and its moving at approximately 7.5 kilometers per second is extremely hard, said Nobu Okada, founder and CEO of Astroscale. In fact, this kind of operation is one of the most challenging capabilities necessary for on orbit services.

Astroscale was founded in 2013 with the goal of offering on-orbit servicing and space debris removal services. It is headquarted in Japan and has subsidiaries in the United Kingdom, the United States, France, and Israel.

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Rocket Lab Electron rocket lifts off with space debris removal mission Spaceflight Now - Spaceflight Now