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.
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Acknowledgements
This work was supported by the Government of Ireland National Development Plan by way of a Department of Agriculture Food and Marine, and Health Research Board FHRI award to the ELDERMET project, as well as by a Science Foundation Ireland award to the Alimentary Pharmabiotic Centre. M.J.C. is funded by a fellowship from the Health Research Board of Ireland. We thank K. O’Donovan and P. Egan for clinical assistance, staff in Cork City and County hospitals for facilitating subject recruitment, S. Wong and B. Clayton for supercomputer access.
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All authors are members of the ELDERMET consortium (http://eldermet.ucc.ie). P.W.O.T., E.M.O.C., S.Cu.1 and R.P.R. managed the project; D.v.S., G.F.F., C.S., J.R.M., F.S., C.H., R.P.R. and PWOT designed the analyses; M.J.C., I.B.J., S.Co.3, E.M.O.C., H.M.B.H., M.C., B.L., O.O.S., A.P.F., S.E.P., M.W. and L.B. performed the analyses; J.D. performed DNA extraction and PCR; M.W. and L.B. performed NMR metabolomics; M.O.C., N.H., K.O.C. and D.O.M. performed clinical analyses; M.J.C., I.B.J., S.Co.3, E.M.O.C., L.B., J.R.M., A.P.F., R.P.R., C.H., F.S. and P.W.O.T. wrote the manuscript.
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Amplicon sequence data, shotgun sequence data, contigs, genes and annotations have been deposited inMG-RAST under the Project ID 154 (http://metagenomics.anl.gov/linkin.cgi?project154).
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Supplementary Information
This file contains Supplementary Figures 1–17, Supplementary Tables 1–6 and 8–9 (see separate fie for Supplementary Table 7), Supplementary Notes and Supplementary References. (PDF 2839 kb)
Supplementary Table 7
This table contains the clinical and dietary metadata. (XLSX 30 kb)
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Claesson, M., Jeffery, I., Conde, S. et al. Gut microbiota composition correlates with diet and health in the elderly. Nature 488, 178–184 (2012). https://doi.org/10.1038/nature11319
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DOI: https://doi.org/10.1038/nature11319
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