Identification of gut microbiome signatures associated with longevity provides a promising modulation target for healthy aging.


Journal

Gut microbes
ISSN: 1949-0984
Titre abrégé: Gut Microbes
Pays: United States
ID NLM: 101495343

Informations de publication

Date de publication:
2019
Historique:
pubmed: 25 8 2018
medline: 8 8 2019
entrez: 25 8 2018
Statut: ppublish

Résumé

The world population is aging, which poses a significant burden to the economy and health care system. As people age, so do their gut microbiomes. Age-related changes in gut microbiome have been reported, including decreased microbial diversity and increased Proteobacteria. Recently, we characterized the gut microbiome of a group of long-living (≥ 90 years old) Chinese people. Interestingly, the diversity of their gut microbiome was greater than that of a young adult control group. We also identified several potentially beneficial bacteria enriched in the long-living Chinese group. These results were validated using data from an independent Italian cohort that included a group of long-living individuals. Other recent studies have found similar results. Here, we provide a summary of these discoveries and discuss their implications in healthy aging.

Identifiants

pubmed: 30142010
doi: 10.1080/19490976.2018.1494102
pmc: PMC6546316
doi:

Types de publication

Comparative Study Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Pagination

210-215

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Auteurs

Fanli Kong (F)

a Department of Animal Science, Division of Agriculture , University of Arkansas , Fayetteville , AR , USA.
b College of Life Science , Sichuan Agricultural University , Ya'an , Sichuan , China.
c Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province , Sichuan Agricultural University , Chengdu , Sichuan , China.

Feilong Deng (F)

a Department of Animal Science, Division of Agriculture , University of Arkansas , Fayetteville , AR , USA.
c Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province , Sichuan Agricultural University , Chengdu , Sichuan , China.

Ying Li (Y)

c Farm Animal Genetic Resources Exploration and Innovation Key Laboratory of Sichuan Province , Sichuan Agricultural University , Chengdu , Sichuan , China.

Jiangchao Zhao (J)

a Department of Animal Science, Division of Agriculture , University of Arkansas , Fayetteville , AR , USA.

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Classifications MeSH