Cited by 3,314Gut microbiota and healthNutritional Studies and DietNutrition and Health in Aging

The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.

Gut microbiota composition correlates with diet and health in the elderly

Open access

Abstract

Alterations in intestinal microbiota composition are associated with several chronic conditions, including obesity and inflammatory diseases. The microbiota of older people displays greater inter-individual variation than that of younger adults. Here we show that the faecal microbiota composition from 178 elderly subjects formed groups, correlating with residence location in the community, day-hospital, rehabilitation or in long-term residential care. However, clustering of subjects by diet separated them by the same residence location and microbiota groupings. The separation of microbiota composition significantly correlated with measures of frailty, co-morbidity, nutritional status, markers of inflammation and with metabolites in faecal water. The individual microbiota of people in long-stay care was significantly less diverse than that of community dwellers. Loss of community-associated microbiota correlated with increased frailty. Collectively, the data support a relationship between diet, microbiota and health status, and indicate a role for diet-driven microbiota alterations in varying rates of health decline upon ageing.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature11319

Cites

17 of 17 references verified0 citation errors · 0 not checkable

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.

A few free checks a day · papers already verified open instantly · results are public

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?

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

Show all 17 references

Research works printed but not linked: 36

  1. O’Toole, P. W. & Claesson, M. J. Gut microbiota: changes throughout the lifespan from infancy to elderly. Int. Dairy J. 20, 281–291 (2010) · DOI
  2. Frank, D. N. et al. Molecular-phylogenetic characterization of microbial community imbalances in human inflammatory bowel diseases. Proc. Natl Acad. Sci. USA 104, 13780–13785 (2007) · DOI · Paper page
  3. Rajilić-Stojanović, M. et al. Development and application of the human intestinal tract chip, a phylogenetic microarray: analysis of universally conserved phylotypes in the abundant microbiota of young and elderly adults. Environ. Microbiol. 11, 1736–1751 (2009) · DOI · Paper page
  4. Claesson, M. J. et al. Composition, variability, and temporal stability of the intestinal microbiota of the elderly. Proc. Natl Acad. Sci. USA 108 (Suppl 1). 4586–4591 (2011) · DOI · Paper page
  5. Franceschi, C. et al. Inflamm-aging: an evolutionary perspective on immunosenescence. Ann. NY Acad. Sci. 908, 244–254 (2000) · DOI · Paper page
  6. Garrett, W. S., Gordon, J. I. & Glimcher, L. H. Homeostasis and inflammation in the intestine. Cell 140, 859–870 (2010) · DOI
  7. Guigoz, Y., Dore, J. & Schiffrin, E. J. The inflammatory status of old age can be nurtured from the intestinal environment. Curr. Opin. Clin. Nutr. Metab. Care 11, 13–20 (2008) · DOI
  8. Lovat, L. B. Age related changes in gut physiology and nutritional status. Gut 38, 306–309 (1996) · DOI
  9. Mai, V., McCrary, Q. M., Sinha, R. & Glei, M. Associations between dietary habits and body mass index with gut microbiota composition and fecal water genotoxicity: an observational study in African American and Caucasian American volunteers. Nutr. J. 8, 49 (2009) · DOI
  10. Faith, J. J., McNulty, N. P., Rey, F. E. & Gordon, J. I. Predicting a human gut microbiota’s response to diet in gnotobiotic mice. Science 333, 101–104 (2011) · DOI
  11. Wu, G. D. et al. Linking long-term dietary patterns with gut microbial enterotypes. Science 334, 105–108 (2011) · DOI · Paper page
  12. Drescher, L. S., Thiele, S. & Mensink, G. B. A new index to measure healthy food diversity better reflects a healthy diet than traditional measures. J. Nutr. 137, 647–651 (2007) · DOI
  13. Jansson, J. et al. Metabolomics reveals metabolic biomarkers of Crohn’s disease. PLoS ONE 4, e6386 (2009) · DOI
  14. Pryde, S. E., Duncan, S. H., Hold, G. L., Stewart, C. S. & Flint, H. J. The microbiology of butyrate formation in the human colon. FEMS Microbiol. Lett. 217, 133–139 (2002) · DOI · Paper page
  15. de Groot, V., Beckerman, H., Lankhorst, G. J. & Bouter, L. M. How to measure comorbidity. a critical review of available methods. J. Clin. Epidemiol. 56, 221–229 (2003) · DOI · Paper page
  16. Mahoney, F. I. & Barthel, D. W. Functional evaluation: the Barthel index. Md. State Med. J. 14, 61–65 (1965)
  17. Kidd, D. et al. The functional independence measure: a comparative validity and reliability study. Disabil. Rehabil. 17, 10–14 (1995) · DOI
  18. Bauer, J. M., Kaiser, M. J., Anthony, P., Guigoz, Y. & Sieber, C. C. The mini nutritional assessment–its history, today’s practice, and future perspectives. Nutr. Clin. Pract. 23, 388–396 (2008) · DOI
  19. Cruz-Jentoft, A. J. et al. Sarcopenia: European consensus on definition and diagnosis: report of the European Working Group on Sarcopenia in Older People. Age Ageing 39, 412–423 (2010) · DOI · Paper page
  20. Nyamundanda, G., Brennan, L. & Gormley, I. C. Probabilistic principal component analysis for metabolomic data. BMC Bioinformatics 11, 571 (2010) · DOI
  21. Wang, Z. et al. Gut flora metabolism of phosphatidylcholine promotes cardiovascular disease. Nature 472, 57–63 (2011) · DOI · Paper page
  22. Arumugam, M. et al. Enterotypes of the human gut microbiome. Nature 473, 174–180 (2011) · DOI · Paper page
  23. Kinsella, K. & He, W. An Aging World: 2008 (US Government Printing Office, 2009)
  24. Walker, A. W. et al. Dominant and diet-responsive groups of bacteria within the human colonic microbiota. ISME J. 5, 220–230 (2011) · DOI · Paper page
  25. Wang, Q., Garrity, G. M., Tiedje, J. M. & Cole, J. R. Naive Bayesian classifier for rapid assignment of rRNA sequences into the new bacterial taxonomy. Appl. Environ. Microbiol. 73, 5261–5267 (2007) · DOI
  26. Harrington, J. et al. Sociodemographic, health and lifestyle predictors of poor diets. Public Health Nutr. 14, 2166–2175 (2011) · DOI
  27. McCance, R. A. & Widdowson, E. M. The composition of foods 6th edn (Royal Soc. Chemistry, 2002)
  28. Claesson, M. J. et al. Comparative analysis of pyrosequencing and a phylogenetic microarray for exploring microbial community structures in the human distal intestine. PLoS ONE 4, e6669 (2009) · DOI
  29. Lilburn, T. G. & Garrity, G. M. Exploring prokaryotic taxonomy. Int. J. Syst. Evol. Microbiol. 54, 7–13 (2004) · DOI
  30. Caporaso, J. G. et al. PyNAST: a flexible tool for aligning sequences to a template alignment. Bioinformatics 26, 266–267 (2010) · DOI
  31. Hamady, M., Lozupone, C. & Knight, R. Fast UniFrac: facilitating high-throughput phylogenetic analyses of microbial communities including analysis of pyrosequencing and PhyloChip data. ISME J. 4, 17–27 (2010) · DOI
  32. Namiki, T., Hachiya, T., Tanaka, H. & Sakakibara, Y. in ACM Conference on Bioinformatics Computational Biology and Biomedicine (Association for Computing Machinery, 2011)
  33. Chevreux, B. et al. Using the miraEST assembler for reliable and automated mRNA transcript assembly and SNP detection in sequenced ESTs. Genome Res. 14, 1147–1159 (2004) · DOI
  34. Noguchi, H., Park, J. & Takagi, T. MetaGene: prokaryotic gene finding from environmental genome shotgun sequences. Nucleic Acids Res. 34, 5623–5630 (2006) · DOI
  35. Koenker, R. & Basset, G. Regression quantiles. Econometrica 46, 33–50 (1978) · DOI
  36. Feng, X. D., He, X. M. & Hu, J. H. Wild bootstrap for quantile regression. Biometrika 98, 995–999 (2011) · DOI

Cited by

Sorted by citations

Items 201–295 of 295

Metadata

Authors
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., Fitzgerald, G. F., Deane, J., O’Connor, M., Harnedy, N., O’Connor, K., O’Mahony, D., van Sinderen, D., Wallace, M., Brennan, L., Stanton, C., Marchesi, J. R., Fitzgerald, A. P., Shanahan, F., Hill, C., Ross, R. P., & O’Toole, P. W.
Affiliations
  • University College Cork (IE)
  • Teagasc - The Irish Agriculture and Food Development Authority (IE)
  • Cork University Hospital (IE)
  • South Infirmary Victoria University Hospital (IE)
  • University College Dublin (IE)
  • Cardiff University (GB)
Corresponding author
O’Toole, Paul W.
Venue
Nature
Published
2012-07-13
Volume
488
Issue
7410
Pages
178-184
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2088170171
Cited by
3,314
References
17
Citations by year
2026: 176 · 2025: 209 · 2024: 240 · 2023: 231 · 2022: 322 · 2021: 318 · 2020: 310 · 2019: 278 · 2018: 214 · 2017: 244 · 2016: 220 · 2015: 183 · 2014: 167 · 2013: 158 · 2012: 35
FWCI
69.86
Type
journal article
Language
en
Open access
Locations
  • Nature (publishedVersion)
  • PubMed (publishedVersion)
  • Arrow@dit (Dublin Institute of Technology) (acceptedVersion)
  • Cork Open Research Archive (University College Cork, Ireland) (acceptedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • Cork Open Research Archive (University College Cork, Ireland) (submittedVersion)
  • ORCA Online Research @Cardiff (Cardiff University) (submittedVersion)
  • Newcastle University ePrints (Newcastle Univesity)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gut microbiota and health
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Nutritional Studies and Diet
  • Health Sciences › Medicine › Physiology (medical) › Nutrition and Health in Aging
Keywords
gut microbiota, older adults, diet, frailty, long-term residential care, community-dwelling older adults, microbiome diversity, inflammation, nutritional status, comorbidities, aging
MeSH terms
Aged, Aged, 80 and over, Aging, Diet, Diet Surveys, Feces, Fruit, Health, Health Status, Health Surveys, Homes for the Aged, Hospitals, Community, Humans, Intestines, Meat, Surveys and Questionnaires, Rehabilitation Centers, Vegetables, Cohort Studies, Geriatric Assessment, Metagenome

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