生物
微生物群
基因组
表型
微生物遗传学
遗传学
单核苷酸多态性
遗传变异
转录组
肠道菌群
基因
计算生物学
免疫学
基因表达
基因型
作者
Lianmin Chen,Daoming Wang,Sanzhima Garmaeva,Alexander Kurilshikov,Arnau Vich Vila,Ranko Gaćeša,Trishla Sinha,Eran Segal,Rinse K. Weersma,Cisca Wijmenga,Alexandra Zhernakova,Jingyuan Fu
出处
期刊:Cell
[Elsevier]
日期:2021-04-01
卷期号:184 (9): 2302-2315.e12
被引量:163
标识
DOI:10.1016/j.cell.2021.03.024
摘要
By following up the gut microbiome, 51 human phenotypes and plasma levels of 1,183 metabolites in 338 individuals after 4 years, we characterize microbial stability and variation in relation to host physiology. Using these individual-specific and temporally stable microbial profiles, including bacterial SNPs and structural variations, we develop a microbial fingerprinting method that shows up to 85% accuracy in classifying metagenomic samples taken 4 years apart. Application of our fingerprinting method to the independent HMP cohort results in 95% accuracy for samples taken 1 year apart. We further observe temporal changes in the abundance of multiple bacterial species, metabolic pathways, and structural variation, as well as strain replacement. We report 190 longitudinal microbial associations with host phenotypes and 519 associations with plasma metabolites. These associations are enriched for cardiometabolic traits, vitamin B, and uremic toxins. Finally, mediation analysis suggests that the gut microbiome may influence cardiometabolic health through its metabolites.
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