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Composition and temporal stability of the gut microbiota in older persons
Open accessAbstract
The composition and function of the human gut microbiota has been linked to health and disease. We previously identified correlations between habitual diet, microbiota composition gradients and health gradients in an unstratified cohort of 178 elderly subjects. To refine our understanding of diet–microbiota associations and differential taxon abundance, we adapted an iterative bi-clustering algorithm (iterative binary bclustering of gene sets (iBBiG)) and applied it to microbiota composition data from 732 faecal samples from 371 ELDERMET cohort subjects, including longitudinal samples. We thus identified distinctive microbiota configurations associated with ageing in both community and long-stay residential care elderly subjects. Mixed-taxa populations were identified that had clinically distinct associations. Microbiota temporal instability was observed in both community-dwelling and long-term care subjects, particularly in those with low initial microbiota diversity. However, the stability of the microbiota of subjects had little impact on the directional change of the microbiota as observed for long-stay subjects who display a gradual shift away from their initial microbiota. This was not observed in community-dwelling subjects. This directional change was associated with duration in long-stay. Changes in these bacterial populations represent the loss of the health-associated and youth-associated microbiota components and gain of an elderly associated microbiota. Interestingly, community-associated microbiota configurations were impacted more by the use of antibiotics than the microbiota of individuals in long-term care, as the community-associated microbiota showed more loss but also more recovery following antibiotic treatment. This improved definition of gut microbiota composition patterns in the elderly will better inform the design of dietary or antibiotic interventions targeting the gut microbiota.
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“Others have found advanced age to be associated with variations in the gut microbiota composition characterized by a loss of diversity of specific taxa46.”
From Gut microbiome diversity is an independent predictor of survival in cervical cancer patients receiving chemoradiation (2021) · cites this paper as [46]
In the citing paper
“Data indicate a narrowing of diversity and distinctive microbiota configurations associated with ageing in long-stay care individuals compared with that of community dwellers (Claesson et al., 2012;Jeffery et al., 2016).”
From Gut reactions: Breaking down xenobiotic–microbiome interactions (2019) · cites this paper as Jeffery et al., 2016
In the citing paper
“Stability begins to decline as we age, and studies suggest that there is greater inter-individual variation in older adults than younger adults (<65 years old) (91, 92)”
From Signalling cognition: The gut microbiota and hypothalamic-pituitary-adrenal axis (2023) · cites this paper as [91]
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“investigations of age-related changes in gut microbiota describe a bacterial community that is both less diverse and lacking in microorganisms responsible for the production of butyrate (indicative of gastrointestinal health) [15, 84, 98, 99], and more abundant in pathogens belonging to the Proteobacteria phylum (e.g., Enterobacteriaceae) [15, 68, 83].”
From Gut Microbiota Contribute to Age-Related Changes in Skeletal Muscle Size, Composition, and Function: Biological Basis for a Gut-Muscle Axis (2018) · cites this paper as [99]
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Schloss, P. D., Westcott, S. L., Ryabin, T., Hall, J. R., Hartmann, M., Hollister, E. B., Lesniewski, R. A., Oakley, B. B., Parks, D. H., Robinson, C. J., et al. (2009) · Applied and Environmental Microbiology · doi:10.1128/aem.01541-09 · Cited by 21,481
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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
Human gut microbes associated with obesity
Ley, R. E., Turnbaugh, P. J., Klein, S., & Gordon, J. I. (2006) · Nature · doi:10.1038/4441022a · Cited by 8,785
A core gut microbiome in obese and lean twins
Turnbaugh, P. J., Hamady, M., Yatsunenko, T., Cantarel, B. L., Duncan, A., Ley, R. E., Sogin, M. L., Jones, W. J., Roe, B. A., Affourtit, J. P., et al. (2009) · Nature · doi:10.1038/nature07540 · Cited by 7,823
Enterotypes of the human gut microbiome
MetaHIT Consortium (additional members), Arumugam, M., Raes, J., Pelletier, E., Le Paslier, D., Yamada, T., Mende, D. R., Fernandes, G. R., Tap, J., Bruls, T., et al. (2011) · Nature · doi:10.1038/nature09944 · Cited by 7,548
Linking long-term dietary patterns with gut microbial enterotypes
Wu, G. D., Chen, J., Hoffmann, C., Bittinger, K., Chen, Y.-Y., Keilbaugh, S. A., Bewtra, M., Knights, D., Walters, W. A., Knight, R., et al. (2011) · Science · doi:10.1126/science.1208344 · Cited by 6,513
Gut microbiota composition correlates with diet and health in the elderly
Claesson, M. J., Jeffery, I. B., Conde, S., Power, S. E., O’Connor, E. M., Cusack, S., Harris, H. M. B., Coakley, M., Lakshminarayanan, B., O’Sullivan, O., et al. (2012) · Nature · doi:10.1038/nature11319 · Cited by 3,314
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Larsen, N., Vogensen, F. K., van den Berg, F. W. J., Nielsen, D. S., Andreasen, A. S., Pedersen, B. K., Al-Soud, W. A., Sørensen, S. J., Hansen, L. H., & Jakobsen, M. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009085 · Cited by 2,952
Dethlefsen, L., Huse, S., Sogin, M. L., & Relman, D. A. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060280 · Cited by 2,361
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Malik, S., Bharali, R., Barbhuyan, H. S. A., Bora, J., Lata, S., & Madan, A. (2026) · IGI Global eBooks · doi:10.4018/979-8-3373-4382-2.ch010 · Cited by 1
Almatrafi, R., Alasiri, A., Almuneef, G., Al-Hazzani, A. A., Alghoribi, M. F., Hakami, M., Arafah, A. M., Alotibi, R. S., Alrabiah, S., Alqurainy, N., et al. (2026) · Frontiers in Aging · doi:10.3389/fragi.2026.1733638
Tombolesi, N., Francini, E., Matacchione, G., Sparvoli, D., Peladic, N. J., Cardelli, M., Recchioni, R., Sbriscia, M., Fantone, S., Giordani, C., et al. (2026) · Nutrients · doi:10.3390/nu18061013
Cornuault, J. K. (2018) · theses.fr (ABES) · doi:10.70675/55d00c01zb915z43d1z8f0bzeead74fa3383
Masharova, A. A., С., А. М., & Tkacheva, O. N. (2026) · Russian Journal of Geriatric Medicine · doi:10.37586/2686-8636-2-2026-164-174
Miller, S. J., Choo, J. M., Grundy, L., Taylor, S., & Rogers, G. B. (2026) · Infection and Immunity · doi:10.1128/iai.00234-26
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Yang, B., Zhang, D., Song, X., Ma, X. F., Zheng, S., Xiang, R., Zhao, X., Qu, Y., Han, T., Yu, T. P., et al. (2026) · BMC Musculoskeletal Disorders · doi:10.1186/s12891-026-10213-4
Ruiz‐Rico, M., Ye, H., & O’Toole, P. W. (2026) · Journal of Agriculture and Food Research · doi:10.1016/j.jafr.2026.103164
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Li, Z., Wang, M., Yao, Y., Yan, K., Wang, S., Li, B., & Li, J. (2026) · Microbiological Research · doi:10.1016/j.micres.2026.128684
Xie, T., Zhou, J., & Wang, Y. (2026) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2026.1828471
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Lutsiv, T., Thompson, H. J., Fiehn, O., Gareau, M. G., Borowsky, A. D., Chen, B. H., & Hussan, H. (2026) · Gastro Hep Advances · doi:10.1016/j.gastha.2026.101102
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Yang, J., Liu, H., Zhang, W., Cui, J., Xing, X., & Dong, C. (2026) · Environmental Microbiology · doi:10.1111/1462-2920.70414
Liu, Y., Chen, B., Zhang, W., Min, S., Cong, N., Gao, N., 迟放鲁, & Ma, R. (2026) · Research Square · doi:10.21203/rs.3.rs-11038214/v1
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Metadata
- Authors
- Jeffery, I. B., Lynch, D. B., & O’Toole, P. W.
- Affiliations
- University College Cork (IE)
- Venue
- The ISME Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-06-19
- Volume
- 10
- Issue
- 1
- Pages
- 170-182
- ISSN
- 1751-7362 (ISSN-L)
- 1751-7370
- PMC
- PMC4681863
- OpenAlex
- W1549775244
- Cited by
- 421
- References
- 37
- Citations by year
- 2026: 30 · 2025: 40 · 2024: 49 · 2023: 29 · 2022: 45 · 2021: 66 · 2020: 43 · 2019: 35 · 2018: 26 · 2017: 34 · 2016: 21 · 2015: 3
- FWCI
- 12.16
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- The ISME Journal (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion, cc-by-nc-sa)
- PubMed (publishedVersion)
- Arrow@dit (Dublin Institute of Technology) (submittedVersion, cc-by-nc-sa)
- Cork Open Research Archive (University College Cork, Ireland) (submittedVersion, cc-by-nc-sa)
- Funders
- General Mills
- Science Foundation Ireland (SFI/12/RC/, 12/RC/2273, 12/RC/, SFI/12/RC/2273., 13/SIRG/2128)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
- Health Sciences › Dentistry › Periodontics › Oral microbiology and periodontitis research
- Physical Sciences › Environmental Science › Ecology › Microbial Community Ecology and Physiology
- Keywords
- gut microbiota, aging, older adults, temporal stability, microbiota composition, long-term care, community-dwelling older adults, antibiotic use, microbiome diversity, change of direction
- MeSH terms
- Gastrointestinal Microbiome, Aged, Aged, 80 and over, Aging, Bacteria, Diet, Feces, Female, Humans, Male, Phylogeny, Residential Facilities, Gastrointestinal Tract
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