Unraveling the impact of host genetics and factors on the urinary microbiome in a young population

被引:2
作者
Zou, Leying [1 ]
Zhang, Zhe [1 ]
Chen, Junhong [1 ]
Guo, Ruijin [2 ]
Tong, Xin [2 ]
Ju, Yanmei [2 ,3 ]
Lu, Haorong [4 ]
Yang, Huanming [2 ,5 ]
Wang, Jian [2 ,5 ]
Zong, Yang [2 ]
Xu, Xun [2 ]
Jin, Xin [2 ]
Xiao, Liang [2 ,6 ]
Jia, Huijue [7 ]
Zhang, Tao [1 ,8 ]
Liu, Xiaomin [1 ,8 ]
机构
[1] BGI Res, Wuhan, Peoples R China
[2] BGI Res, Shenzhen, Peoples R China
[3] Univ Chinese Acad Sci, Coll Life Sci, Beijing, Peoples R China
[4] BGI Shenzhen, China Natl Genebank, Shenzhen, Peoples R China
[5] James D Watson Inst Genome Sci, Hangzhou, Peoples R China
[6] BGI Shenzhen, Shenzhen Key Lab Human Commensal Microorganisms &, Shenzhen, Peoples R China
[7] Fudan Univ, Inst Precis Med Greater Bay Area Guangzhou, Guangzhou, Peoples R China
[8] BGI Res, Shenzhen Key Lab Human Commensal Microorganisms &, Shenzhen, Peoples R China
关键词
urinary microbiome; metagenomics; host genetics; sex hormone; GUT MICROBIOTA; SEX; EPIDEMIOLOGY; ASSOCIATION; STEROIDS;
D O I
10.1128/mbio.02773-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
The significance of the urinary microbiome in maintaining health and contributing to disease development is increasingly recognized. However, a comprehensive understanding of this microbiome and its influencing factors remains elusive. Utilizing whole metagenomic and whole-genome sequencing, along with detailed metadata, we characterized the urinary microbiome and its influencing factors in a cohort of 1,579 Chinese individuals. Our findings unveil the distinctiveness of the urinary microbiome from other four body sites, delineating five unique urotypes dominated by Gardnerella vaginalis, Sphingobium fluviale, Lactobacillus iners, Variovorax sp. PDC80, and Acinetobacter junii, respectively. We identified 108 host factors significantly influencing the urinary microbiome, collectively explaining 12.92% of the variance in microbial composition. Notably, gender-related factors, including sex hormones, emerged as key determinants in defining urotype groups, microbial composition and pathways, with the urinary microbiome exhibiting strong predictive ability for gender (area under the curve [AUC] = 0.843). Furthermore, we discovered 43 genome-wide significant associations between host genetic loci and specific urinary bacteria, Acinetobacter in particular, linked to eight host loci (P < 5 x 10(-8)). These associations were also modulated by gender and sex hormone levels. In summary, our study provides novel insights into the impact of host genetics and other factors on the urinary microbiome, shedding light on its implications for host health and disease.
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页数:19
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