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By NASA
5 min read
Preparations for Next Moonwalk Simulations Underway (and Underwater)
Astronaut Jeanette Epps extracts DNA samples from bacteria colonies for genomic analysis aboard the International Space Station’s Harmony module.NASA In an effort to learn more about astronaut health and the effects of space on the human body, NASA is conducting a new experiment aboard the International Space Station to speed up the detection of antibiotic-resistant bacteria, thus improving the health safety not only of astronauts but patients back on Earth.
Infections caused by antibiotic-resistant bacteria can be difficult or impossible to treat, making antibiotic resistance a leading cause of death worldwide and a global health concern.
Future astronauts visiting the Moon or Mars will need to rely on a pre-determined supply of antibiotics in case of illness. Ensuring those antibiotics remain effective is an important safety measure for future missions.
The Genomic Enumeration of Antibiotic Resistance in Space (GEARS) experiment, which is managed by NASA’s Ames Research Center in California’s Silicon Valley, involves astronauts swabbing interior surfaces across the space station and testing those samples for evidence of antibiotic-resistant bacteria, and in particular Enterococcus faecalis, a type of bacteria commonly found in the human body. The experiment is the first step in a series of work that seeks to better understand how organisms grow in a space environment, and how those similarities and differences might help improve research back on Earth.
“Enterococcus is a type of organism that’s been with us since our ancestors crawled out of the ocean, and is a core member of the human gut,” said Christopher Carr, assistant professor at the Georgia Institute of Technology and co-principal investigator of GEARS. “It’s able to survive inside and outside of its host, which has allowed it to become the second highest leading cause of hospital-acquired infections. We want to understand how this type of organism is adapting to the space environment.”
The GEARS experiment seeks to improve the detection and identification of these bacteria, building on existing efforts to understand what organisms grow on the station’s surfaces.
“We’ve been monitoring the surfaces of the space station since 2000, but this experiment will give us insight beyond the identities of present organisms, which is currently all that is used for risk assessment,” said Sarah Wallace, a microbiologist at NASA’s Johnson Space Center in Houston and co-principal investigator of GEARS. “With the station orbiting close to Earth, it’s a low-risk space to evaluate and learn more about the frequency of this bacteria and how it responds to the space environment so we can apply this understanding to missions to the Moon and Mars, where resupplies are more complex.”
Over the next year, astronauts will swab parts of the station and analyze samples by adding an antibiotic to the medium in which the samples will grow. The results will reveal where this and other resistant bacteria are growing and whether they can persist or spread across the station.
I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.
Sarah WAllace
NASA Microbiologist
The experiment was originally launched to the ISS on the 30th SpaceX commercial resupply services (CRS) mission in March 2024, and the first round of GEARS testing turned up surprising results: very few resistant bacteria colonies, none of which were E. faecalis. This bodes well for the threat of antibiotic resistance in space.
“There was some cleaning done before swabbing the station, which may have removed some bacteria,” said Carr. To better understand how and where risky bacteria may live, the astronauts paused some cleaning before the second round of swabbing.
“We want the astronauts to have a clean environment, but we also want to test those high-touch areas, so they intentionally and briefly avoided cleaning some areas so we can understand how bacteria may grow or spread on the station.”
This experiment is the first study to perform metagenomic sequencing in space, a method that analyzes all the genetic material in a sample to identify and characterize all organisms that are present, an important research and medical diagnostic capability for future deep space missions.
The GEARS team hopes to create a rapid workflow to analyze bacteria samples, reducing the time between swabbing and test results from days to hours. That workflow could be applied in hospitals and make a huge impact when treating hospital-acquired infections from antibiotic-resistant microbes.
The result could save lives – more than 35,000 people die each year as a result of antibiotic-resistant infections. The issue is personal to Wallace, who lost a family member to a hospital-acquired infection.
“It’s not that uncommon: so many people have experienced this kind of loss,” said Wallace. “A method to give an answer in a matter of hours is huge and profound. It’s my job to keep the crew healthy, but we’re also passionate about bringing that work back down to Earth. I hope we can shine a light on rapidly analyzing bacteria: if we can do this in space, we can do it on Earth, too.”
Genomic Enumeration of Antibiotic Resistance in Space (GEARS) was funded by the Biological and Physical Sciences Space Biology Program, with pioneering funding and support from the Mars Campaign office.
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Last Updated Feb 19, 2025 Related Terms
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By NASA
4 Min Read Heart Health
Jessica Meir conducts cardiac research in the space station’s Life Sciences Glovebox. Credits: NASA Science in Space: February 2025
February was first proclaimed as American Heart Month in 1964. Since then, its 28 (or 29) days have served as an opportunity to encourage people to focus on their cardiovascular health.
The International Space Station serves as a platform for a variety of ongoing research on human health, including how different body systems adapt to weightlessness. This research includes assessing cardiovascular health in astronauts during and after spaceflight and other studies using models of the cardiovascular system, such as tissue cultures. The goal of this work is to help promote heart health for humans in space and everyone on Earth. For this Heart Month, here is a look at some of this spaceflight research
Building a better heart model
Media exchange in the tissue chambers for the Engineered Heart Tissue investigation.NASA Microgravity exposure is known to cause changes in cardiovascular function. Engineered Heart Tissues assessed these changes using 3D cultured cardiac tissues that model the behavior of actual heart tissues better than traditional cell cultures. When exposed to weightlessness, these “heart-on-a-chip” cells behaved in a manner similar to aging on Earth. This finding suggests that these engineered tissues can be used to investigate the effects of space radiation and long-duration spaceflight on cardiac function. Engineered tissues also could support development of measures to help protect crew members during a mission to Mars. Advanced 3D culture methodology may inform development of strategies to prevent and treat cardiac diseases on Earth as well.
Private astronaut heart health
In April 2022, the 11-person station crew included (clockwise on the outside from bottom right) NASA astronaut Tom Marshburn; Roscomos cosmonauts Oleg Artemyev, Denis Matveev, and Sergey Korsakov; NASA astronauts Raja Chari, Kayla Barron, and Matthias Maurer; and Ax-1 astronauts (center row from left) Mark Pathy, Eytan Stibbe, Larry Conner, and Michael López-Alegría.-Alegria.NASA For decades, human research in space has focused on professional and government-agency astronauts, but commercial spaceflight opportunities now allow more people to participate in microgravity research. Cardioprotection Ax-1 analyzed cardiovascular and general health in private astronauts on the 17-day Axiom-1 mission.
The study found that 14 health biomarkers related to cardiac, liver, and kidney health remained within normal ranges during the mission, suggesting that spaceflight did not significantly affect the health of the astronaut subjects. This study paves the way for monitoring and studying the effects of spaceflight on private astronauts and developing health management plans for commercial space providers.
Better measurements for better health
ESA astronaut Tim Peake conducts operations for the Vascular Echo experiment. NASA Vascular Echo, an investigation from CSA (Canadian Space Agency), examined blood vessels and the heart using a variety of tools, including ultrasound. A published study suggests that 3D imaging technology might better measure cardiac and vascular anatomy than the 2D system routinely used on the space station. The research team also developed a probe for the ultrasound device that better directs the beam, making it possible for someone who is not an expert in sonography to take precise measurements. This technology could help astronauts monitor heart health and treat cardiovascular issues on a long-duration mission to the Moon or Mars. The technology also could help patients on Earth who live in remote locations, where an ultrasound operator may not always be available.
Long-term heart health in space
As part of exploring ways to keep astronauts healthy on missions to the Moon and Mars, NASA is conducting a suite of space station studies called CIPHER that looks at the effects of spaceflight lasting up to a year. One CIPHER study, Vascular Calcium, examines whether calcium lost from bone during spaceflight might deposit in the arteries, increasing vessel stiffness and contributing to increased risk of future cardiovascular disease. Astronaut volunteers provide blood and urine samples and undergo ultrasound and high-resolution scans of their bones and arteries for this investigation. Another CIPHER study, Coronary Responses, uses advanced imaging tests to measure heart and artery response to spaceflight.
These studies will help scientists determine whether spaceflight accelerates narrowing and stiffening of the arteries, known as atherosclerosis, or increases the risk of atrial fibrillation, a rapid and irregular heartbeat seen in middle-aged adults. This work also could help identify potential biomarkers and early warning indicators of cardiovascular disease.
Melissa Gaskill
International Space Station Research Communications Team
Johnson Space Center
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An image of a coastal marshland combines aerial and satellite views in a technique similar to hyperspectral imaging. Combining data from multiple sources gives scientists information that can support environmental management.John Moisan When it comes to making real-time decisions about unfamiliar data – say, choosing a path to hike up a mountain you’ve never scaled before – existing artificial intelligence and machine learning tech doesn’t come close to measuring up to human skill. That’s why NASA scientist John Moisan is developing an AI “eye.”
Oceanographer John MoisanNASA Moisan, an oceanographer at NASA’s Wallops Flight Facility near Chincoteague, Virginia, said AI will direct his A-Eye, a movable sensor. After analyzing images his AI would not just find known patterns in new data, but also steer the sensor to observe and discover new features or biological processes.
“A truly intelligent machine needs to be able to recognize when it is faced with something truly new and worthy of further observation,” Moisan said. “Most AI applications are mapping applications trained with familiar data to recognize patterns in new data. How do you teach a machine to recognize something it doesn’t understand, stop and say ‘What was that? Let’s take a closer look.’ That’s discovery.”
Finding and identifying new patterns in complex data is still the domain of human scientists, and how humans see plays a large part, said Goddard AI expert James MacKinnon. Scientists analyze large data sets by looking at visualizations that can help bring out relationships between different variables within the data.
Infrared images like this one from a marsh area on the Maryland/Virginia Eastern Shore coastal barrier and back bay regions reveal clues to scientists about plant health, photosynthesis, and other conditions that affect vegetation and ecosystems.John Moisan It’s another story to train a computer to look at large data streams in real time to see those connections, MacKinnon said. Especially when looking for correlations and inter-relationships in the data that the computer hasn’t been trained to identify.
Moisan intends first to set his A-Eye on interpreting images from Earth’s complex aquatic and coastal regions. He expects to reach that goal this year, training the AI using observations from prior flights over the Delmarva Peninsula. Follow-up funding would help him complete the optical pointing goal.
“How do you pick out things that matter in a scan?” Moisan asked. “I want to be able to quickly point the A-Eye at something swept up in the scan, so that from a remote area we can get whatever we need to understand the environmental scene.”
Moisan’s on-board AI would scan the collected data in real-time to search for significant features, then steer an optical sensor to collect more detailed data in infrared and other frequencies.
Thinking machines may be set to play a larger role in future exploration of our universe. Sophisticated computers taught to recognize chemical signatures that could indicate life processes, or landscape features like lava flows or craters, might offer to increase the value of science data returned from lunar or deep-space exploration.
Today’s state-of-the-art AI is not quite ready to make mission-critical decisions, MacKinnon said.
“You need some way to take a perception of a scene and turn that into a decision and that’s really hard,” he said. “The scary thing, to a scientist, is to throw away data that could be valuable. An AI might prioritize what data to send first or have an algorithm that can call attention to anomalies, but at the end of the day, it’s going to be a scientist looking at that data that results in discoveries.”
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Last Updated Feb 10, 2025 Related Terms
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By NASA
“I do evolutionary programming,” said NASA Goddard oceanographer Dr. John Moisan. “I see a lot of possibility in using evolutionary programming to solve many large problems we are trying to solve. How did life start and evolve? Can these processes be used to evolve intelligence or sentience?”Courtesy of John Moisan Name: John Moisan
Formal Job Classification: Research oceanographer
Organization: Ocean Ecology Laboratory, Hydrosphere, Biosphere, Geophysics (HBG), Earth Science Directorate (Code 616) – duty station at NASA’s Wallops Flight Facility on Virginia’s Eastern Shore
What do you do and what is most interesting about your role here at Goddard? How do you help support Goddard’s mission?
I develop ecosystem models and satellite algorithms to understand how the ocean’s ecology works. My work has evolved over time from when I coded ocean ecosystem models to the present where I now use artificial intelligence to evolve the ocean ecosystem models.
How did you become an oceanographer?
As a child, I watched a TV series called “Sea Hunt,” which involved looking for treasure in the ocean. It inspired me to want to spend my life scuba diving.
I got a Bachelor of Science in marine biology from the University of New England in Biddeford, Maine, and later got a Ph.D. from the Center for Coastal Physical Oceanography at Old Dominion University in Norfolk, Virginia.
Initially, I just wanted to do marine biology which to me meant doing lots of scuba diving, maybe living on a sailboat. Later, when I was starting my graduate schoolwork, I found a book about mathematical biology and a great professor who helped open my eyes to the world of numerical modeling. I found out that instead of scuba diving, I needed instead to spend my days behind a computer, learning how to craft ideas into equations and then code these into a computer to run simulations on ocean ecosystems.
I put myself through my initial education. I went to school fulltime, but I lived at home and hitchhiked to college on a daily basis. When I started my graduate school, I worked to support myself. I was in school during the normal work week, but from Friday evening through Sunday night, I worked 40 hours at a medical center cleaning and sterilizing the operating room instrument carts. This was during the height of the AIDS epidemic.
What was most exciting about your two field trips to the Antarctic?
In 1987, I joined a six-week research expedition to an Antarctic research station to explore how the ozone hole was impacting phytoplankton. These are single-celled algae that are responsible for making half the oxygen we breathe. Traveling to Antarctica is like visiting another planet. There are more types of blue than I’ve ever seen. It is an amazingly beautiful place to visit, with wild landscapes, glaciers, mountains, sea ice, and a wide range of wildlife. After my first trip I returned home and went back in a few months later as a biologist on a joint Polish–U.S. (National Oceanic and Atmospheric Administration) expedition to carry out a biological survey and measure how much fast the phytoplankton was growing in different areas of the Southern Ocean. We used nets to measure the amounts of fish and shrimp and took water samples to measure salinity, the amount of algae and their growth rates. We ate well, for example the Polish cook made up a large batch of smoked ice fish.
What other field work have you done?
While a graduate student, I helped do some benthic work in the Gulf of Maine. This study was focused on understanding the rates of respiration in the muds on the bottom of the ocean and on understanding how much biomass was in the muds. The project lowered a benthic grab device to the bottom where it would push a box core device into the sediments to return it to the surface. This process is sort of like doing a biopsy of the ocean bottom.
What is your goal as a research oceanographer at Goddard?
Ocean scientists measure the amount and variability of chlorophyll a, a pigment in algae, in the ocean because it is an analogue to the amount of algae or phytoplankton in the ocean. Chlorophyll a is used to capture solar energy to make sugars, which the algae use for growth. Generally, areas of the ocean that have more chlorophyll are also areas where growth or primary production is higher. So, by estimating how much chlorophyll is in the ocean we can study how these processes are changing with an aim in understanding why. NASA uses the color of the ocean using satellites to estimate chlorophyll a because chlorophyll absorbs sunlight and changes the color of the ocean. Algae have other kinds of pigments, each of which absorbs light at different wavelengths. Because different groups of algae have different levels of pigments, they are like fingerprints that can reveal the type of algae in the water. Some of my research aims at trying to use artificial intelligence and mathematical techniques to create new ways to measure these pigments from space to understand how ocean ecosystems change.
In 2024, NASA plans to launch the Plankton, Aerosol, Cloud, ocean Ecosystem (PACE) satellite, which will measure the color of the ocean at many different wavelengths. The data from this satellite can be used with results from my work on genetic programs and inverse modeling to estimate concentrations of different pigments and possibly concentrations of different types of algae in the ocean.
You have been at Goddard over 22 years. What is most memorable to you?
I develop ecosystem models. But ecosystems do not have laws in the same way that physics has laws. Equations need to be created so that the ecosystem models represent what is observed in the real world. Satellites have been a great source for those observations, but without a lot of other types of observations that are collected in the field, the ocean, it is difficult to develop these equations. In my time at NASA, I have only been able to develop models because of the great but often tedious work that ocean scientists around the world have been doing when they go on ocean expeditions to measure various ocean features, be it simple temperature or the more complicated measurements of algal growth rates. My experience with their willingness to collaborate and share data is especially memorable. This experience is also what I enjoyed with numerous scientists at NASA who have always been willing to support new ideas and point me in the right direction. It has made working at NASA a phenomenal experience.
What are the philosophical implications of your work?
The human capacity to think rapidly, to test and change our opinions based on what we learn, is slow compared to that of a computer. Computers can help us adapt more quickly. I can put 1,000 students in a room developing ecosystem model models. But I know that this process of developing ecosystem models is slow when compared what a computer can do using an artificial intelligence approach called genetic programming, it is a much faster way to generate ecosystem model solutions.
Philosophically, there is no real ecosystem model that is the best. Life and ecosystems on Earth change and adapt at rates too fast for any present-day model to resolve, especially considering climate change. The only real ecosystem model is the reality itself. No computer model can perfectly simulate ecosystems. By utilizing the fast adaptability that evolutionary computer modeling techniques provide, simulating and ultimately predicting ecosystems can be improved greatly.
How does your work have implications for scientists in general?
I do evolutionary programming. I see a lot of possibility in using evolutionary programming to solve many large problems we are trying to solve. How did life start and evolve? Can these processes be used to evolve intelligence or sentience?
The artificial intelligence (AI) work answers questions, but you need to identify the questions. This is the greater problem when it comes to working with AI. You cannot answer the question of how to create a sentient life if you do not know how to define it. If I cannot measure life, how can I model it? I do not know how to write that equation. How does life evolve? How did the evolutionary process start? These are big questions I enjoy discussing with friends. It can be as frustrating as contemplating “nothing.”
Who inspires you?
Many of the scientists that I was fortunate to work with at various research institutes, such as Scripps Institution of Oceanography at the University of California, San Diego. These are groups of scientists are open to always willing to share their ideas. These are individuals who enjoy doing science. I will always be indebted to them for their kindness in sharing of ideas and data.
Do you still scuba dive?
Yes, I wish I could dive daily, it is a very calming experience. I’m trying to get my kids to join me.
What else do you do for fun?
My wife and I bike and travel. Our next big bike trip will hopefully be to Shangri-La City in China. I also enjoy sailing and trying to grow tropical plants. But, most of all, I enjoy helping raise my children to be resilient, empathic, and intelligent beings.
What are your words to live by?
Life. So much to see. So little time.
Conversations With Goddard is a collection of question and answer profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage. Conversations With Goddard is a collection of Q&A profiles highlighting the breadth and depth of NASA’s Goddard Space Flight Center’s talented and diverse workforce. The Conversations have been published twice a month on average since May 2011. Read past editions on Goddard’s “Our People” webpage.
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Last Updated Feb 10, 2025 EditorJessica EvansContactRob Garnerrob.garner@nasa.gov Related Terms
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