The DOI matches its Crossref record; 57 of the 57 references it cites were found in a registry or an index.
Changes in intestinal microbiota composition and metabolism coincide with increased intestinal permeability in young adults under prolonged physiological stress
Abstract
The magnitude, temporal dynamics, and physiological effects of intestinal microbiome responses to physiological stress are poorly characterized. This study used a systems biology approach and a multiple-stressor military training environment to determine the effects of physiological stress on intestinal microbiota composition and metabolic activity, as well as intestinal permeability (IP). Soldiers ( n = 73) were provided three rations per day with or without protein- or carbohydrate-based supplements during a 4-day cross-country ski-march (STRESS). IP was measured before and during STRESS. Blood and stool samples were collected before and after STRESS to measure inflammation, stool microbiota, and stool and plasma global metabolite profiles. IP increased 62 ± 57% (mean ± SD, P < 0.001) during STRESS independent of diet group and was associated with increased inflammation. Intestinal microbiota responses were characterized by increased α-diversity and changes in the relative abundance of >50% of identified genera, including increased abundance of less dominant taxa at the expense of more dominant taxa such as Bacteroides. Changes in intestinal microbiota composition were linked to 23% of metabolites that were significantly altered in stool after STRESS. Together, pre-STRESS Actinobacteria relative abundance and changes in serum IL-6 and stool cysteine concentrations accounted for 84% of the variability in the change in IP. Findings demonstrate that a multiple-stressor military training environment induced increases in IP that were associated with alterations in markers of inflammation and with intestinal microbiota composition and metabolism. Associations between IP, the pre-STRESS microbiota, and microbiota metabolites suggest that targeting the intestinal microbiota could provide novel strategies for preserving IP during physiological stress. NEW & NOTEWORTHY Military training, a unique model for studying temporal dynamics of intestinal barrier and intestinal microbiota responses to stress, resulted in increased intestinal permeability concomitant with changes in intestinal microbiota composition and metabolism. Prestress intestinal microbiota composition and changes in fecal concentrations of metabolites linked to the microbiota were associated with increased intestinal permeability. Findings suggest that targeting the intestinal microbiota could provide novel strategies for mitigating increases in intestinal permeability during stress.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“An increase of microbial diversity was once again reported in individuals who performed a 4-day cross-country ski-march in Arctic conditions compared to controls, by (Karl et al., 2017), amongst other changes.”
From The Microbiota-Gut-Brain Axis (2019) · cites this paper as Karl et al., 2017
In the citing paper
“Other modifying factors (Figure 1) include psychological stress33,34, physical activity35, tobacco use36, alcohol consumption37, and antibiotic exposure38, 39,40.”
From The gut Microbiome in adult and pediatric functional gastrointestinal disorders (2019) · cites this paper as [34]
In the citing paper
“Second, a 4-days cross-country, military ski-march increased Verrucomicrobia abundance (Karl et al., 2017)”
From Six-Week Endurance Exercise Alters Gut Metagenome That Is not Reflected in Systemic Metabolism in Over-weight Women (2018) · cites this paper as Karl et al., 2017
Citations
Cites
QIIME allows analysis of high-throughput community sequencing data
Caporaso, J. G., Kuczynski, J., Stombaugh, J., Bittinger, K., Bushman, F. D., Costello, E. K., Fierer, N., Peña, A. G., Goodrich, J. K., Gordon, J. I., et al. (2010) · Nature Methods · doi:10.1038/nmeth.f.303 · Cited by 34,887
Search and clustering orders of magnitude faster than BLAST
Edgar, R. C. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq461 · Cited by 21,056
Naive Bayesian Classifier for Rapid Assignment of rRNA Sequences into the New Bacterial Taxonomy
Wang, Q., Garrity, G. M., Tiedje, J. M., & Cole, J. R. (2007) · Applied and Environmental Microbiology · doi:10.1128/aem.00062-07 · Cited by 20,145
Diet rapidly and reproducibly alters the human gut microbiome
David, L. A., Maurice, C. F., Carmody, R. N., Gootenberg, D. B., Button, J. E., Wolfe, B. E., Ling, A. V., Devlin, A. S., Varma, Y., Fischbach, M. A., et al. (2014) · Nature · doi:10.1038/nature12820 · Cited by 10,100
Predictive functional profiling of microbial communities using 16S rRNA marker gene sequences
Langille, M. G. I., Zaneveld, J., Caporaso, J. G., McDonald, D., Knights, D., Reyes, J. A., Clemente, J. C., Burkepile, D. E., Vega Thurber, R. L., Knight, R., et al. (2013) · Nature Biotechnology · doi:10.1038/nbt.2676 · Cited by 9,116
Klindworth, A., Pruesse, E., Schweer, T., Peplies, J., Quast, C., Horn, M., & Glöckner, F. O. (2013) · Nucleic Acids Research · doi:10.1093/nar/gks808 · Cited by 8,850
(1992) · Applied Ergonomics · doi:10.1016/0003-6870(92)90338-v · Cited by 7,153
McDonald, D. T., Price, M. N., Goodrich, J. K., Nawrocki, E. P., DeSantis, T. Z., Probst, A. J., Andersen, G. L., Knight, R. D., & Hugenholtz, P. (2011) · The ISME Journal · doi:10.1038/ismej.2011.139 · Cited by 5,133
Host-gut microbiota metabolic interactions
Nicholson, J. K., Holmes, E., Kinross, J., Burcelin, R., Gibson, G., Jia, W., & Pettersson, S. (2012) · Science · doi:10.1126/science.1223813 · Cited by 4,760
Richness of human gut microbiome correlates with metabolic markers
Le Chatelier, E., Nielsen, T., Qin, J., Prifti, E., Hildebrand, F., Falony, G., Almeida, M., Arumugam, M., Batto, J.-M., Kennedy, S., et al. (2013) · Nature · doi:10.1038/nature12506 · Cited by 4,662
Research works printed but not linked: 1
- Li X, 2014, Neuro Endocrinol Lett, 35, 58
Cited by
Sorted by citations
Items 301–373 of 373
Could tolerance to DNA be broken in the gut in systemic lupus erythematosus?
Spencer, J., & Jain, S. (2024) · Immunology Letters · doi:10.1016/j.imlet.2024.106937 · Cited by 2
Morita, E., Ando, S., Fukuyama, Y., Kikuchi, Y., Kumabe, S., & Yamashina, Y. (2024) · BioSocial Health Journal. · doi:10.34172/bshj.36 · Cited by 2
Plasma Metabolomics in a Nonhuman Primate Model of Abdominal Radiation Exposure
Jun, S.-R., Boerma, M., Udaondo, Z., Richardson, S., Thrall, K., Miousse, I., Seng, J., Pathak, R., & Hauer-Jensen, M. (2021) · Metabolites · doi:10.3390/metabo11080540 · Cited by 2
Álvarez‐Herms, J., Burtscher, M., González-Benito, A., Corbi, F., & Odriozola-Martínez, A. (2024) · Journal of Athletic Training · doi:10.4085/1062-6050-0143.24 · Cited by 4
Gene Expression Analysis before and after the Pelvic Flexure in the Epithelium of the Equine Hindgut
Moss, C. D., Wilson, A. L., Reed, K. J., Jennings, K., Kunz, I. G. Z., Landolt, G. A., Metcalf, J. L., Engle, T. E., & Coleman, S. J. (2024) · Animals · doi:10.3390/ani14162303 · Cited by 1
Ke, S., Du, S., Qiu, J., Xiao, R., Zhao, J., Zhu, Y., Tang, X., & Wang, G. (2024) · Food Science and Human Wellness · doi:10.26599/fshw.2024.9250378 · Cited by 1
Sim, D.-H., Lee, D.-H., Lee, J., & Hong, K. (2024) · Exercise Science · doi:10.15857/ksep.2024.00577 · Cited by 1
Koryukalov, Y. I., Lapshin, M. S., Kondashevskaya, М. V., Bakhareva, A. S., & Savinih, E. J. (2024) · Sports medicine research and practice · doi:10.47529/2223-2524.2024.2.8 · Cited by 1
The role of the gut microbiome in cardiovascular disease
Świątko, M., Sosnowski, P., Rybak, J., Grzebyk, M., Tokarska, A., Arnista, A., Gawrońska, K., Waszczuk, A., Kołodziejczyk, A., & Łapiński, P. (2025) · Journal of Education Health and Sport · doi:10.12775/jehs.2025.82.60447 · Cited by 1
Sylviana, N., Karisa, P., Romadona, N. F., & Megantara, I. (2025) · Experimental Physiology · doi:10.1113/ep092970 · Cited by 1
Mijiyawa, A., Ghashghaei, E., Okasha, H., Wang, H., Sun, L., Nadiedjoa, Y., Wang, D., Yue, Z., Temhoul, C. M. M., Okai, M. A., et al. (2026) · Animal Research and One Health · doi:10.1002/aro2.70062 · Cited by 1
Testosterone administration partially modulates gut microbiota responses to severe energy deficit
Mohr, A. E., Berryman, C. E., Harris, M. N., Lawrence, A. B., Chakraborty, N., Campbell, R., Dimitrov, G. I., Gautam, A., Hammamieh, R., Lieberman, H. R., et al. (2026) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00291.2025 · Cited by 1
Self-citationSekel, N. M., & Pasiakos, S. M. (2026) · Journal of Nutrition · doi:10.1016/j.tjnut.2026.101580 · Cited by 1
Self-citationIntestinal microbiota and stress: how much do we know so far
Hyder, N., & Raza, M. L. (2026) · Critical Reviews in Microbiology · doi:10.1080/1040841x.2026.2706149 · Cited by 1
Przewłócka, K., Folwarski, M., Chroboczek, M., Potrykus, M., Kaczmarczyk, M., Skonieczna‐Żydecka, K., & Kaczor, J. J. (2026) · Nutrients · doi:10.3390/nu18152484 · Cited by 1
МІКРОБІОТА ЛЮДЕЙ ТА ТВАРИН: ВПЛИВ ФІЗИЧНОЇ АКТИВНОСТІ ТА ДІЄТИ
Куйбіда, В., Lopatynska, V. V., & Коханець, П. (2022) · Scientia et societus · doi:10.31470/2786-6327/2022/2/108-117 · Cited by 2
Coadaptation mechanism of the gut microbiota and human organism to physical loading
Куйбіда, В., Коханець, П., & Lopatynska, V. V. (2023) · Regulatory Mechanisms in Biosystems · doi:10.15421/022332 · Cited by 1
Faustmann, T. J., Kamp, D., Räuber, S. J., Melzer, N., & Schilbach, L. (2023) · Medical Hypotheses · doi:10.1016/j.mehy.2023.111190 · Cited by 1
Fedorin, M. M., Livzan, M. A., & Gaus, O. V. (2023) · Russian Medical Inquiry · doi:10.32364/2587-6821-2023-7-7-4 · Cited by 1
Cerrato, L. M., Schiano, E., Iannuzzo, F., Tenore, G. C., Summa, V., Daglia, M., Novellino, E., & Stornaiuolo, M. (2024) · Biomedicines · doi:10.3390/biomedicines12071557 · Cited by 3
Limin, N. A., Aazmi, M. S., Hatta, S. N. N. F., Ithnin, H., Awang, N. M. Z., Magintan, D., & Yusof, N. N. M. (2025) · Applied Animal Behaviour Science · doi:10.1016/j.applanim.2025.106771 · Cited by 1
Ukrainets, R. V., & Korneva, Y. S. (2020) · Medicina · doi:10.29234/2308-9113-2020-8-1-20-33 · Cited by 2
Brinkac, L. M., Rahman, N., Chua, L.-L., & Thomas, S. (2020) · mSystems · doi:10.1128/msystems.00487-20 · Cited by 1
Herrera-Rocha, K. M., Larrosa, M., Rocha‐Guzmán, N. E., Gallegos‐Infante, J. A., González‐Laredo, R. F., & Moreno‐Jiménez, M. R. (2021) · TIP Revista Especializada en Ciencias Químico-Biológicas · doi:10.22201/fesz.23958723e.2021.344
Short-chain fatty acids: mediators between microbiota and host
Buxens, S. S. (2021) · Dipòsit Digital de la Universitat de Barcelona (Universitat de Barcelona) · Cited by 1
Physical Activity Induced Alterations of Gut Microbiota in Humans: A Systematic ReviewPreprint
Dziewiecka, H., Buttar, H. S., Kasperska, A., Ostapiuk–Karolczuk, J., Domagalska, M., Cichoń-Woźniak, J., & Skarpańska-Stejnborn, A. (2022) · Research Square · doi:10.21203/rs.3.rs-1533424/v1 · Cited by 1
Chaudhary, P. P., & Schlundt, J. (2017)
Animal Models When Examining the Gut-Liver Axis
Magdaleno, F., Brol, M. J., Schierwagen, R., Uschner, F. E., Zwick, M., & Trebicka, J. (2018) · Springer eBooks · doi:10.1007/978-3-319-98890-0_14
Resende, A. D. S. (2019) · Digital Library of Theses and Dissertations (Universidade de São Paulo) · doi:10.11606/d.39.2019.tde-13062019-161054
The Microbiome and the Public’s Health
Stein, M. D., & Galea, S. (2020) · doi:10.1093/oso/9780197510384.003.0017
Underlying mechanisms for intestinal diseases arising from stress
Li, J., Ren, W., Yin, H., Zhao, Y.-F., & Tang, Y. (2020) · World Chinese Journal of Digestology · doi:10.11569/wcjd.v28.i14.617
Papel de la microbiota intestinal en el desarrollo de la enfermedad de Alzheimer
Martín, I. F. (2021) · Ambiociencias · doi:10.18002/ambioc.v0i18.6565
Research in Exercise Science and Gut Microbiota: A Two-way Relationship
Petriz, B. A., de Almeida, J. A., Ribeiro, F. M., & Franco, O. L. (2021) · Elsevier eBooks · doi:10.1016/b978-0-12-819265-8.00066-8
Gut Microbiome and Social Determinants of Health (SDOH)
Kumari, S. (2020) · International Journal of Clinical Case Reports and Reviews · doi:10.31579/2690-4861/060
The Probiotic Containing Foods in Military Dining
Kalgutkar, P., Ashmin, R., Kumar, D., Vasudevan, V., Gopalan, N., & Semwal, A. D. (2021) · Defence Life Science Journal · doi:10.14429/dlsj.6.16046
Maritan, E., Gallo, M., Šrůtková, D., Jelinkova, A., Benada, O., Kofroňová, O., Silva-Soares, N. F., Hudcovic, T., Gifford, I., Barrick, J. E., et al. (2022) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2022.03.04.482961
RELATIONSHIP OF LEAKY GUT SYNDROME AND METABOLIC SYNDROME
Tolloto, G. H. V., & Saragiotto, L. (2022) · Health and Society · doi:10.51249/hs.v2i01.661 · Cited by 1
Research Progress on the Relationship between Intestinal Flora Disorders and Functional Dyspepsia
张, 硕. (2021) · Advances in Clinical Medicine · doi:10.12677/acm.2021.117468
The etiology of gut dysbiosis and its role in chronic disease
Danenberg, A. H. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-822238-6.00020-0
Ortolan, A., Felicetti, M., Lorenzin, M., Cozzi, G., Ometto, F., Striani, G., Favaro, M., Doria, A., & Ramonda, R. (2023) · Revue du Rhumatisme · doi:10.1016/j.rhum.2023.02.001
Sports nutrology and gut microbiota
Diniz, L. V. L. (2023) · International Journal of Nutrology · doi:10.54448/ijn23109 · Cited by 1
Gut microbiota and symptoms of psychosis: Is there a link?
Nocera, A. (2023) · Current Psychiatry · doi:10.12788/cp.0328
Roimi, M., Shrot, A., Ilan, R., Tenenbaum, A., Epstein, D., & Bar‐Lavie, Y. (2025) · Acute and Critical Care · doi:10.4266/acc.000696
Kang, Z., & Cui, D. (2025) · Journal of Acupuncture and Tuina Science · doi:10.1007/s11726-025-1487-z
Sylviana, N., Romadona, N. F., Megantara, I., & Karisa, P. (2025) · Research Square · doi:10.21203/rs.3.rs-6270599/v1
Alekseev, D. V., Ermolaev, A. V., Lyamin, A. V., & Gorbachev, D. O. (2025) · Russian Journal of Infection and Immunity · doi:10.15789/2220-7619-cfo-17873
Gut Barrier Permeability, Microbiota, and Brain Health
Madison, A. A., Duff, A. F., & Bailey, M. T. (2025) · Oxford University Press eBooks · doi:10.1093/oxfordhb/9780190931544.013.17
Talbott, S., Stephens, B. M., Talbott, J. A., Oddou, M. P., & Aoki, F. (2026) · Journal of Medicinal Food · doi:10.1177/1096620x261448041
Wang, Z., Liu, Q., Nemes, J., Kranfli, A. A., Sullan, M. J., Hoisington, A. J., Brenner, L. A., Skotak, M., LaValle, C. R., Ge, Y., et al. (2025) · Military Medicine · doi:10.1093/milmed/usaf478
Relationship between gastrointestinal environment and physical conditions in elite athletes
Akazawa, N., Nakamura, M., Eda, N., Murakami, H., Nakagata, T., Nanri, H., Park, J., Hosomi, K., Mizuguchi, K., Kunisawa, J., et al. (2025) · The Journal of Physical Fitness and Sports Medicine · doi:10.7600/jpfsm.2024.040
Switzer, A. D., Parsons, K. M., Hanson, M. B., Emmons, C. K., Park, L. K., Hempelmann, J. A., Robeck, T. R., Herrick, K. E. S., Osborn, S. D., Jaffe, A. L., et al. (2025) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2025.12.27.696689
Cheng, C., Li, Y., Lv, W., Zhao, J., Yan, Z., & Lü, H. (2026) · Discover Mental Health · doi:10.1007/s44192-026-00375-x
Nekrasova, A. I., Калашникова, И. Г., Makarov, V. V., & Zhernov, Y. V. (2026) · Hygiene and Sanitation · doi:10.47470/0016-9900-2025-104-12-1611-1617
Zhuang, S.-R., Yen, C., Lin, K.-Y., & Shen, Y. (2026) · Nutrients · doi:10.3390/nu18030504
Dothard, M. I., Caboni, M., Norment, D., Sigmund, N., Allard, S. M., Gilbert, J. A., Gavrish, E., Al‐Ghalith, G. A., Der‐Avakian, A., & Strandwitz, P. (2026) · BMC Medicine · doi:10.1186/s12916-026-04787-y
Post-transport recovery trajectory of the canine gut microbiome and metabolome
Lyu, Y., Su, C., Sun, K., Wang, Y., Zhang, L., Pu, J., Wu, C., Thomas, D., & Che, L. (2026) · Journal of Animal Science and Biotechnology/Journal of animal science and biotechnology · doi:10.1186/s40104-026-01385-z
Karakütük, E., & Canbolat, E. (2026) · İzmir Katip Çelebi Üniversitesi Sağlık Bilimleri Fakültesi Dergisi · doi:10.61399/ikcusbfd.1636975
Aparicio-Mera, R., Manzano-Carrasco, S., Hernández-Martín, A., Cuevas, R., & García‐Unanue, J. (2026) · Sports Medicine and Health Science · doi:10.1016/j.smhs.2026.07.004
Gut microbiome modulation for military resilience and performance
Murphy, E. F., Templeman, I., Rimmer, J. E., & Harding, S. V. (2026) · Frontiers in Microbiomes · doi:10.3389/frmbi.2026.1828981
Super, C., Asif, M., Compher, C. W., Schurr, T. G., & Hoke, M. K. (2026) · American Journal of Human Biology · doi:10.1002/ajhb.70314 · Cited by 1
Dauphinee, C., Lohnes, O., & Kebbe, M. (2026) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2025-0496
Lu, T.-L., Tanisawa, K., Fujita, Z., Ozeki, C., Yoshida, E., Fang, S., & Suzuki, K. (2026) · Sports · doi:10.3390/sports14090375
Microbiome and Diseases: Metabolic Disorders
Clavel, T., & Ecker, J. (2026) · Springer eBooks · doi:10.1007/978-3-032-26410-7_16
易提林, Yu, K., Li, J., Zhang, H., Yang, D., & Chen, F. (2026) · Animals · doi:10.3390/ani16203206
Bao, Z., Jiao, M., Zhao, M., Huang, F.-Y., Liu, Y. H., & Wang, S. (2026) · Nutrition Reviews · doi:10.1093/nutrit/nuag156
Wang, H., Zhang, Y., Zhu, C., Zhang, D., Zhou, P., & Sang, C. (2026) · General Psychiatry · doi:10.1002/gps3.70061
Metadata
- Authors
- Karl, J. P., Margolis, L. M., Madslien, E. H., Murphy, N. E., Castellani, J. W., Gundersen, Y., Hoke, A. V., Levangie, M. W., Kumar, R., Chakraborty, N., Gautam, A., Hammamieh, R., Martini, S., Montain, S. J., & Pasiakos, S. M.
- Affiliations
- U.S. Army Research Institute of Environmental Medicine (US)
- Norwegian Defence Research Establishment (NO)
- United States Army (US)
- Frederick National Laboratory for Cancer Research (US)
- Corresponding author
- Karl, J. Philip
- ORCID
- Venue
- American Journal of Physiology-Gastrointestinal and Liver Physiology
- Publisher
- American Physiological Society
- Published
- 2017-06-01
- Volume
- 312
- Issue
- 6
- Pages
- G559-G571
- ISSN
- 0193-1857 (ISSN-L)
- 1522-1547
- OpenAlex
- W2600336120
- Cited by
- 373
- References
- 57
- Citations by year
- 2026: 27 · 2025: 41 · 2024: 46 · 2023: 55 · 2022: 47 · 2021: 49 · 2020: 42 · 2019: 28 · 2018: 27 · 2017: 10
- FWCI
- 11.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- American Journal of Physiology-Gastrointestinal and Liver Physiology (publishedVersion)
- PubMed (publishedVersion)
- Funders
- U.S. Army Medical Research and Materiel Command
- Defense Health Agency
- Norwegian Defense Research Establishment
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Medicine › Gastroenterology › Gastrointestinal motility and disorders
- Life Sciences › Agricultural and Biological Sciences › Food Science › Probiotics and Fermented Foods
- Keywords
- gut microbiota, intestinal permeability, physiological stress, military education, intestinal barrier, inflammation, microbiota metabolites, actinobacteria, Bacteroides, cysteine, interleukin-6, young adults
- MeSH terms
- Gastrointestinal Microbiome, Adolescent, Age Factors, Bacteria, Dietary Carbohydrates, Dietary Proteins, Energy Metabolism, Feces, Female, Humans, Intestinal Absorption, Intestinal Mucosa, Intestines, Male, Military Medicine, Norway, Nutritional Status, Permeability, Physical Endurance, Stress, Physiological, Time Factors, Inflammation Mediators, Systems Biology, Host-Pathogen Interactions, Metabolomics, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review