Fifth School of Clinical Medicine of Zhejiang Chinese Medical University (Huzhou Central Hospital), Huzhou 313000, Zhejiang, China.
Huzhou Central Hospital, Affiliated Central Hospital Huzhou University, Huzhou 313000, Zhejiang, China.
Aging (Albany NY). 2024 Apr 8;16(8):6839-6851. doi: 10.18632/aging.205728.
Gut microbes and age are both factors that influence the development of disease. The community structure of gut microbes is affected by age.
To plot time-dependent gut microbe profiles in individuals over 45 years old and explore the correlation between age and gut microbes.
Fecal samples were collected from 510 healthy individuals over 45 years old. Shannon index, Simpson index, Ace index, etc. were used to analyze the diversity of gut microbes. The beta diversity analysis, including non-metric multidimensional scaling (NMDS), was used to analyze community distribution. Linear discriminant analysis (LDA) and random forest (RF) algorithm were used to analyze the differences of gut microbes. Trend analysis was used to plot the abundances of characteristic gut microbes in different ages.
The individuals aged 45-49 had the highest richness of gut bacteria. Fifteen characteristic gut microbes, including and , were screened by RF algorithm. The abundance of and were higher in individuals older than 65 years. Moreover, the abundance of , and decreased with age and the abundance of and a increased with age. The functional genes, such as human diseases and aging, were significantly different among different aged individuals.
The individuals in different ages have characteristic gut microbes. The changes in community structure of gut microbes may be related to age-induced diseases.
肠道微生物和年龄都是影响疾病发展的因素。肠道微生物群落结构受年龄影响。
绘制 45 岁以上人群肠道微生物的时变特征，并探讨年龄与肠道微生物的相关性。
收集 510 名 45 岁以上健康个体的粪便样本。使用 Shannon 指数、Simpson 指数、Ace 指数等分析肠道微生物多样性。采用非度量多维尺度分析（NMDS）等β多样性分析方法分析群落分布。使用线性判别分析（LDA）和随机森林（RF）算法分析肠道微生物的差异。趋势分析用于绘制不同年龄段特征肠道微生物的丰度。
45-49 岁个体的肠道细菌丰富度最高。通过 RF 算法筛选出 15 种特征肠道微生物，包括 和 。65 岁以上个体中 和 的丰度较高。此外， 、 、 的丰度随年龄增加而降低， 、 和 的丰度随年龄增加而增加。不同年龄个体的功能基因，如人类疾病和衰老，存在显著差异。
不同年龄段的个体具有特征性的肠道微生物。肠道微生物群落结构的变化可能与年龄相关疾病有关。
