Diet-Associated Variability in the Elderly Gut Microbiome

作者：D. Low, Kai xuan Tee, O. Meldrum, G. D'Agostino, Hye Jin Kim, A. Kang, Rikky W. Purbojati, L. Chandrasekaran, Daniela I. Drautz-Moses, Yifan Yang, B. Cheon, A. Elizabeth, L. Fong, Yulan Wang, P. Padmanabhan, Stephan Schuster, S. Pettersson, J. Chambers, B. Gulyás · 发表于：Current Developments in Nutrition · 年份：2022 · DOI：10.1093/cdn/nzac069.025 · 被引用次数：1

Abstract Objectives The gut microbiome adapts to diet variations, which contribute to interindividual variability in human host metabolism and environmental factors. Microbe-diet studies have largely focused on specific diets (e.g., high-fat Western, Mediterranean-style) in American and European populations, with limited studies on compositionally-different diets in Asian populations. This study aimed to understand how diet composition modulates the gut microbiome in a Singapore multi-ethnic population. Methods We performed metagenomic sequencing of faecal samples from 118 healthy individuals (66 ± 5 years old), and estimated their food and nutrient intakes from 3-day food records (IRB-2018–01-011). Multivariate associations between microbial composition (species) and functional potentials (pathways, enzymes) with diet variables were analysed using linear mixed models with Benjamin-Hochberg correction, and adjusted for age, sex, BMI, physical activity, energy intake and medications. Permutational multivariate analysis of variance, based on Bray-Curtis dissimilarity metric, was applied to quantify variance within the microbiome that is explained by diet variables. Results We found gut microbes (5 phyla, >100 species) significantly associated with one of four observed dietary patterns (P < 0.05), various food groups and nutrients (q < 0.1). The microbiome was driven by intake and diversity of plant-based foods. Parabacteroides and Blautia species, and microbial metabolism of en...