Department of Epidemiology, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Welch Center for Prevention, Epidemiology, and Clinical Research, Johns Hopkins University, Baltimore, Maryland, USA.
Obesity (Silver Spring). 2023 May;31(5):1425-1435. doi: 10.1002/oby.23717. Epub 2023 Apr 4.
The aim of this study was to examine associations of gut microbiome diversity and composition with directly measured regional fat distribution, including central fat, in a large community-based cohort.
A cross-sectional investigation was conducted in the Baltimore Longitudinal Study of Aging (N = 815, 55.2% female, 65.9% White). The fecal microbiome was assessed using whole-genome shotgun metagenomic sequencing, and trunk and leg fat was measured using dual x-ray absorptiometry. Multivariable-adjusted associations of regional fat measures, BMI, or waist circumference with microbiome alpha diversity metrics, microbiome beta diversity metrics, and species differential abundance (verified using two compositional statistical approaches) were examined.
Trunk fat, leg fat, BMI, and waist circumference all significantly explained similar amounts of variance in microbiome structure. Differential abundance testing identified 11 bacterial species significantly associated with at least one measure of body composition or anthropometry. Ruminococcus gnavus was strongly and consistently associated with trunk fat mass, which is congruent with prior literature.
Microbiome diversity and composition, in particular higher abundance of Ruminococcus gnavus, were associated with greater trunk fat, in addition to other measures of obesity. Longitudinal studies are needed to replicate these findings, and if replicated, randomized trials are needed to determine whether interventions targeting microbiome features such as abundance of Ruminococcus gnavus can lead to reductions in trunk fat and its metabolic sequelae.
本研究旨在探讨肠道微生物多样性和组成与直接测量的区域性脂肪分布(包括中心性脂肪)之间的关联,该研究基于一个大型社区队列。
横断面研究在巴尔的摩纵向老龄化研究(N=815,55.2%为女性,65.9%为白人)中进行。使用全基因组 shotgun 宏基因组测序评估粪便微生物组,使用双能 X 线吸收法测量躯干和腿部脂肪。使用两种组成统计方法,对区域性脂肪测量、BMI 或腰围与微生物多样性指标、微生物组β多样性指标和物种差异丰度(通过两种组合统计方法验证)进行多变量调整后的关联分析。
躯干脂肪、腿部脂肪、BMI 和腰围均显著解释了微生物组结构相似的变异量。差异丰度检测鉴定出 11 种与至少一种身体成分或人体测量指标显著相关的细菌物种。毛螺菌科 Ruminococcus gnavus 与躯干脂肪质量强烈且一致相关,这与之前的文献一致。
微生物多样性和组成,特别是 Ruminococcus gnavus 的丰度较高,与更大的躯干脂肪有关,此外还与其他肥胖指标有关。需要进行纵向研究来复制这些发现,如果得到复制,需要进行随机试验来确定针对微生物组特征(如 Ruminococcus gnavus 的丰度)的干预措施是否可以减少躯干脂肪及其代谢后果。