4.7 Article

Association of dietary patterns with the gut microbiota in older, community-dwelling men

期刊

AMERICAN JOURNAL OF CLINICAL NUTRITION
卷 110, 期 4, 页码 1003-1014

出版社

OXFORD UNIV PRESS
DOI: 10.1093/ajcn/nqz174

关键词

16S rRNA gene sequencing; alpha diversity; beta diversity; dietary patterns; food-frequency questionnaire; Greengenes database; microbiota; older adults; Osteoporotic Fractures in Men Study

资金

  1. National Institutes of Health through National Institute on Aging
  2. National Institutes of Health through National Institute of Arthritis and Musculoskeletal and Skin Diseases
  3. National Institutes of Health through National Center for Advancing Translational Sciences
  4. National Institutes of Health through National Institutes of Health Roadmap for Medical Research [U01 AG027810, U01 AG042124, U01 AG042139, U01 AG042140, U01 AG042143, U01 AG042145, U01 AG042168, U01 AR066160, UL1 TR000128]

向作者/读者索取更多资源

Background: While the gut microbiota is relatively stable through adulthood, its composition is influenced by various host and environmental factors, including changes in health, gastrointestinal processes (e.g., transit time, gastric acidity), medication use, and diet. The association of habitual diet, in the form of a posteriori-derived dietary patterns, andmicrobiota composition has not been adequately studied, particularly in older men. Objective: The objective was to investigate the association of dietary patterns with the composition and diversity of the gut bacterial microbiota in community-dwelling, older men. Methods: This cross-sectional study included 517 men who were participants in the Osteoporotic Fractures in Men (MrOS) Study (>= 65 y of age at baseline in 2000-2002) and who provided a stool sample and completed an FFQ at MrOS Visit 4 in 2014-2016. Dietary patterns were derived by factor analysis. 16S ribosomal RNA target gene sequencing was performed and taxonomy assignments were derived using the Greengenes database. Linear regression and permutational multivariate analysis of variance (PERMANOVA) considered variations in alpha and beta diversity by dietary pattern, and a model that implements a 0-inflated Gaussian distribution of mean group abundance for each taxa (metagenomeSeq) assessed taxonomic variations by dietary pattern. Results: In multivariable-adjusted models, greater adherence to the Western pattern was positively associated with families Mogibacteriaceae and Veillonellaceae and genera Alistipes, Anaerotruncus, CC-115, Collinsella, Coprobacillus, Desulfovibrio, Dorea, Eubacterium, and Ruminococcus, while greater adherence to the prudent pattern was positively associated with order Streptophyta, family Victivallaceae, and genera Cetobacterium, Clostridium, Faecalibacterium, Lachnospira, Paraprevotella, and Veillonella. The relative abundance of the dominant gut bacterial phyla, Bacteroidetes and Firmicutes, did not differ between participants with greater adherence to the Western pattern, compared with those with greater adherence to the prudent pattern. Dietary patternswere not associated with measures of alpha diversity, but beta diversity measures were significantly associated with both Western and prudent patterns. Conclusions: We observed significant associations between dietary patterns and measures of gut microbial composition in this sample of community-dwelling, older men.

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