The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Effects of exercise frequency on the gut microbiota in elderly individuals
Abstract
Growing evidence has shown that exercise can affect the gut microbiota. The effects of exercise frequency on the gut microbiota in elderly individuals are still largely unknown. In the present study, samples from 897 elderly and 1,589 adult individuals (18–60 years old) from the American Gut Project were screened. Microbial diversity and composition were analyzed by QIIME2, and microbial function was predicted by PICRUSt2. The outcomes were further analyzed by STAMP. The analysis showed that the α‐diversity of gut microbiota increased with increasing age, and regular exercise reshaped the alterations in microbial composition and function induced by aging. Moreover, the α‐diversity of gut microbiota was higher in overweight elderly individuals than in normoweight elderly individuals, and regular exercise significantly affected the microbial composition and function in overweight elderly individuals. In conclusion, we revealed that regular exercise benefits elderly individuals, especially overweight elderly individuals, by modulating the gut microbiota.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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
“Recent findings from the American Gut Project revealed that chronic exercise training benefits older adults by maintaining the stability of the gut microbiota (microbial composition and function) induced by aging [277].”
From Nutrition for Older Athletes: Focus on Sex-Differences (2021) · cites this paper as [277]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
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
Functional interactions between the gut microbiota and host metabolism
Tremaroli, V., & Bäckhed, F. (2012) · Nature · doi:10.1038/nature11552 · Cited by 4,387
Gut microbiota functions: metabolism of nutrients and other food components
Rowland, I., Gibson, G., Heinken, A., Scott, K., Swann, J., Thiele, I., & Tuohy, K. (2018) · European Journal of Nutrition · doi:10.1007/s00394-017-1445-8 · Cited by 2,878
American Gut: an Open Platform for Citizen-Science Microbiome Research
McDonalda, D., Hyde, E., Debelius, J. W., Morton, J. T., Gonzalez, A., Ackermann, G., Aksenov, A. A., Behsaz, B., Brennan, C., Chen, Y., et al. (2018) · doi:10.1101/277970 · Cited by 878
Self-citationExercise alters gut microbiota composition and function in lean and obese humans
ALLEN, J. M., MAILING, L. J., NIEMIRO, G. M., MOORE, R., COOK, M. D., WHITE, B. A., HOLSCHER, H. D., & WOODS, J. A. (2018) · Medicine & Science in Sports & Exercise · doi:10.1249/mss.0000000000001495 · Cited by 820
Exercise Modifies the Gut Microbiota with Positive Health Effects
Monda, V., Villano, I., Messina, A., Valenzano, A., Esposito, T., Moscatelli, F., Viggiano, A., Cibelli, G., Chieffi, S., Monda, M., et al. (2017) · Oxidative Medicine and Cellular Longevity · doi:10.1155/2017/3831972 · Cited by 654
Barton, W., Penney, N. C., Cronin, O., Garcia-Perez, I., Molloy, M. G., Holmes, E., Shanahan, F., Cotter, P. D., & O'Sullivan, O. (2018) · Gut · doi:10.1136/gutjnl-2016-313627 · Cited by 647
Evans, C. C., LePard, K. J., Kwak, J. W., Stancukas, M. C., Laskowski, S., Dougherty, J., Moulton, L., Glawe, A., Wang, Y., Leone, V., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0092193 · Cited by 587
Endurance exercise and gut microbiota: A review
Mach, N., & Fuster-Botella, D. (2017) · Journal of Sport and Health Science · doi:10.1016/j.jshs.2016.05.001 · Cited by 361
Voluntary and forced exercise differentially alters the gut microbiome in C57BL/6J mice
Allen, J. M., Berg Miller, M. E., Pence, B. D., Whitlock, K., Nehra, V., Gaskins, H. R., White, B. A., Fryer, J. D., & Woods, J. A. (2015) · Journal of Applied Physiology · doi:10.1152/japplphysiol.01077.2014 · Cited by 266 · cited 1×
“Besides, studies have shown that exercise might be negatively associated with microbial α-diversity (Allen et al., 2015; Mika et al., 2015).”
BackgroundDenou, E., Marcinko, K., Surette, M. G., Steinberg, G. R., & Schertzer, J. D. (2016) · American Journal of Physiology-Endocrinology and Metabolism · doi:10.1152/ajpendo.00537.2015 · Cited by 260
Munukka, E., Ahtiainen, J. P., Puigbó, P., Jalkanen, S., Pahkala, K., Keskitalo, A., Kujala, U. M., Pietilä, S., Hollmén, M., Elo, L., et al. (2018) · Frontiers in Microbiology · doi:10.3389/fmicb.2018.02323 · Cited by 237
Cronin, O., Barton, W., Skuse, P., Penney, N. C., Garcia-Perez, I., Murphy, E. F., Woods, T., Nugent, H., Fanning, A., Melgar, S., et al. (2018) · mSystems · doi:10.1128/msystems.00044-18 · Cited by 232
Exercise training modifies gut microbiota in normal and diabetic mice
Lambert, J. E., Myslicki, J. P., Bomhof, M. R., Belke, D. D., Shearer, J., & Reimer, R. A. (2015) · Applied Physiology, Nutrition, and Metabolism · doi:10.1139/apnm-2014-0452 · Cited by 214 · cited 9×
“At the phylum level, the abundance of Bacteroidetes was increased, while the abundances of Proteobacteria, Cyanobacteria, and Firmicutes were decreased in the DROE group compared with the NROE group.”
BackgroundInfluentialMika, A., Van Treuren, W., González, A., Herrera, J. J., Knight, R., & Fleshner, M. (2015) · PLOS ONE · doi:10.1371/journal.pone.0125889 · Cited by 197
Four men in a boat: Ultra-endurance exercise alters the gut microbiome
Keohane, D. M., Woods, T., O’Connor, P., Underwood, S., Cronin, O., Whiston, R., O'Sullivan, O., Cotter, P., Shanahan, F., & Molloy, M. G. M. (2019) · Journal of Science and Medicine in Sport · doi:10.1016/j.jsams.2019.04.004 · Cited by 113
The Effects of Dietary Pattern during Intensified Training on Stool Microbiota of Elite Race Walkers
Murtaza, N., Burke, L. M., Vlahovich, N., Charlesson, B., O’ Neill, H., Ross, M. L., Campbell, K. L., Krause, L., & Morrison, M. (2019) · Nutrients · doi:10.3390/nu11020261 · Cited by 96
Liu, T.-W., Park, Y.-M., Holscher, H. D., Padilla, J., Scroggins, R. J., Welly, R., Britton, S. L., Koch, L. G., Vieira-Potter, V. J., & Swanson, K. S. (2015) · PLOS ONE · doi:10.1371/journal.pone.0136150 · Cited by 78
Gut microbiota in common elderly diseases affecting activities of daily living
Shimizu, Y. (2018) · World Journal of Gastroenterology · doi:10.3748/wjg.v24.i42.4750 · Cited by 40
Research works printed but not linked: 43
- 10.1073/pnas.0407076101 · DOI · Paper page
- 10.1186/s12966-015-0254-9 · DOI · Paper page
- 10.14814/phy2.13881 · DOI
- 10.1242/dmm.039206 · DOI
- 10.7717/peerj.8317 · DOI
- 10.1073/pnas.1000097107 · DOI · Paper page
- 10.1136/gutjnl-2013-306541 · DOI · Paper page
- 10.1089/chi.2019.0280 · DOI
- Davis S. C., 2017, Gut microbiome diversity influenced more by the Westernized dietary regime than the body mass index as assessed using effect size statistic, MicrobiologyOpen, e00476, 10.1002/mbo3.476 · DOI · Paper page
- 10.1128/mSystems.00261-19 · DOI · Paper page
- Douglas G. M., 2020, PICRUSt2: An Improved and Customizable Approach for Metagenome Inference., 672295
- 10.3389/fimmu.2017.01768 · DOI
- 10.1371/journal.pone.0181451 · DOI
- 10.1111/j.1348-0421.2003.tb03418.x · DOI
- 10.1093/gerona/glx197 · DOI
- 10.1373/clinchem.2017.272443 · DOI
- 10.1016/j.micres.2015.01.009 · DOI
- 10.1264/jsme2.ME14054 · DOI · Paper page
- 10.1186/s12876-015-0330-2 · DOI · Paper page
- 10.1038/s41366-019-0440-y · DOI · Paper page
- 10.1096/fj.201802481R · DOI
- 10.1002/jgh3.12184 · DOI
- 10.1016/j.aquatox.2018.09.013 · DOI
- 10.1038/s41598-017-16287-4 · DOI
- 10.1038/srep32953 · DOI
- 10.1007/s00726-017-2493-3 · DOI · Paper page
- 10.1128/mSystems.00031-18 · DOI · Paper page
- 10.1093/bioinformatics/btu494 · DOI · Paper page
- 10.1186/s40168-017-0320-4 · DOI · Paper page
- 10.1039/C7FO01820G · DOI
- 10.1155/2017/9351507 · DOI · Paper page
- 10.3390/nu11071630 · DOI
- 10.1038/nri2515 · DOI · Paper page
- 10.1038/s41591-019-0485-4 · DOI · Paper page
- 10.1136/gutjnl-2011-301012 · DOI · Paper page
- 10.1186/s13099-018-0231-3 · DOI
- 10.1016/j.toxlet.2017.05.013 · DOI
- 10.14814/phy2.13935 · DOI
- 10.1093/cdn/nzz145 · DOI
- 10.1080/07315724.2019.1606744 · DOI
- 10.1186/s12866-018-1362-x · DOI
- 10.1016/j.micpath.2017.03.038 · DOI
- 10.3389/fmicb.2018.00765 · DOI
Cited by
Varghese, S., Rao, S., Khattak, A., Zamir, F., & Chaari, A. (2024) · Nutrients · doi:10.3390/nu16213663 · Cited by 152
Altered gut microbiota in adults with subjective cognitive decline: the SILCODE study
Sheng, C., Lin, L., Lin, H., Wang, X., Han, Y., & Liu, S.-L. (2021) · Journal of Alzheimer s Disease · doi:10.3233/jad-210259 · Cited by 78
Exploring the Relationship between the Gut Microbiota and Ageing: A Possible Age Modulator
Salazar, J., Durán, P., Díaz, M. P., Chacín, M., Santeliz, R., Mengual, E., Gutiérrez, E., León, X., Díaz, A., Bernal, M., et al. (2023) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph20105845 · Cited by 71
Nutrition for Older Athletes: Focus on Sex-Differences
Strasser, B., Pesta, D., Rittweger, J., Burtscher, J., & Burtscher, M. (2021) · Nutrients · doi:10.3390/nu13051409 · Cited by 25
Metadata
- Authors
- Zhu, Q., Jiang, S., & Du, G.
- Affiliations
- Department of Biochemistry and Molecular Biology Hainan Medical University Haikou China
- Human Anatomy Laboratory Hainan Medical University Haikou China
- ORCID
- Du, Guankui
- Venue
- MicrobiologyOpen
- Publisher
- Wiley
- Published
- 2020-05
- Volume
- 9
- Issue
- 8
- ISSN
- 2045-8827
- Cited by
- 74
- References
- 19
- Language
- en
- Funders
- National Natural Science Foundation of China (81960672)
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
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
