Characteristics of gut microbiota in longevity populations in China and its relationship with healthy aging

中国长寿人群肠道菌群特征及其与健康老龄化的关系

阅读:2

Abstract

This study aimed to investigate the differences in gut microbiota diversity and compositional characteristics between long-lived individuals (≥90 years) and individuals at different life stages (children, young and middle-aged adults, and elderly), in order to provide a foundational basis for microbial interventions in healthy aging. An observational cohort design was adopted, recruiting healthy participants divided into 4 age groups: children, young and middle-aged adults, elderly, and long-lived individuals. Fecal samples were collected and subjected to high-throughput 16S rRNA gene sequencing. The alpha diversity, beta diversity, and community structural differences of the gut microbiota were assessed, and representative microbial taxa were identified using LEfSe analysis. The long-lived group exhibited significantly higher species richness and diversity (Chao1 and Shannon indices, P < .05), with a more balanced and stable microbial structure. At the phylum level, the long-lived group had the highest relative abundance of Firmicutes and the lowest of Bacteroidetes. At the genus level, lactic acid bacteria such as Lactobacillus were significantly enriched. LEfSe analysis indicated that lactic acid bacteria-related taxa may serve as characteristic markers of this population. The gut microbiota of long-lived individuals exhibits higher ecological stability and a distinctive composition, which may be associated with healthy aging. These findings provide preliminary evidence for the relationship between longevity and gut microbial ecology and suggest that structural characteristics of these microbial communities may be involved in the process of healthy aging, offering a basis for future exploration of microbial intervention strategies.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。