代谢组学
代谢组
基因组
生物
特质
遗传关联
微生物群
全基因组关联研究
数量性状位点
遗传学
进化生物学
生物信息学
单核苷酸多态性
基因型
基因
计算机科学
程序设计语言
作者
Qian Xu,Chunyan Wu,Qi Zhu,Renyuan Gao,Jianquan Lu,Mireia Vallès-Colomer,Jian Zhu,F Yin,Linsheng Huang,Lulu Ding,Xiaohui Zhang,Yonghui Zhang,Xiao Xiong,Miaomiao Bi,Xiang Chen,Yefei Zhu,Lin Liu,Yongqiang Liu,Yongshen Chen,Jian‐Gao Fan
出处
期刊:Nature Aging
日期:2022-04-14
卷期号:2 (5): 438-452
被引量:37
标识
DOI:10.1038/s43587-022-00193-0
摘要
A better understanding of the biological and environmental variables that contribute to exceptional longevity has the potential to inform the treatment of geriatric diseases and help achieve healthy aging. Here, we compared the gut microbiome and blood metabolome of extremely long-lived individuals (94-105 years old) to that of their children (50-79 years old) in 116 Han Chinese families. We found extensive metagenomic and metabolomic remodeling in advanced age and observed a generational divergence in the correlations with socioeconomic factors. An analysis of quantitative trait loci revealed that genetic associations with metagenomic and metabolomic features were largely generation-specific, but we also found 131 plasma metabolic quantitative trait loci associations that were cross-generational with the genetic variants concentrated in six loci. These included associations between FADS1/2 and arachidonate, PTPA and succinylcarnitine and FLVCR1 and choline. Our characterization of the extensive metagenomic and metabolomic remodeling that occurs in people reaching extreme ages may offer new targets for aging-related interventions.
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