{"title":"人口水平分析确定影响阴道微生物组的宿主和环境变量","authors":"Lang Qin, Tianyong Sun, Xiao Li, Shigang Zhao, Zheng Liu, Changlong Zhang, Congcong Jin, Yanqi Xu, Xuan Gao, Yongzhi Cao, Jiaojiao Wang, Ting Han, Lei Yan, Jialun Song, Fangfang Zhang, Feifei Liu, Yousheng Zhang, Yuzhen Huang, Yuping Song, Yanjun Liu, Jing Zhang, Xiuqing Zhang, Zhina Yao, Honglei Chen, Zhenzhen Zhang, Shengrui Zhao, Yuhan Feng, Ya-nan Zhang, Qian Yu, Fang Cao, Lijuan Zhao, Lei Xie, Ling Geng, Qiang Feng, Han Zhao, Zi-Jiang Chen","doi":"10.1038/s41392-025-02152-8","DOIUrl":null,"url":null,"abstract":"<p>The vaginal microbiome is critical for the reproductive health of women, yet the differential impacts exerted by the host and by ambient environmental variables on the vaginal microbiome remain largely unknown. Here, we conducted a comprehensive cross-sectional study of the relationships between the vaginal microbiome and 81 matched host and environmental variables across 6755 Chinese women. By 16S rRNA sequencing, we identified four core vaginal microbiota with a prevalence of over 90% and a total median abundance of 98.8%. Twenty-four variables, including physiology, lifestyle behaviors, gynecologic history, social and environmental information, were found associated with the microbiome composition, of which bacterial vaginosis (BV) showed the largest effect size. Age was among the strongest explanatory variables and the vaginal microbiome dynamically succeeded with increasing age, especially with a composition turning point at the age of 45. Our mediation analyses indicated that the effects of age on the microbiome could be mediated by variables such as parity number and lifestyles. We further classified the vaginal microbiomes of the population into 13 “Vagitypes”. Women with <i>Lactobacillus iners</i>- and <i>Lactobacillus jensenii</i>-dominated Vagitypes had significantly higher live birth rate than those with Vagitype dominated by <i>Fannyhessea vaginae</i> (53.40%, 59.09% vs 21.43%; OR [95% CI]: 3.62 [1.12–14.87], 5.39 [1.27–27.36]; <i>P</i> = 0.031, <i>P</i> = 0.021). This study provides a comprehensive overview of the associations between identified variables and the vaginal microbiome, representing an important step toward understanding of environment-microbe-host interactions.</p>","PeriodicalId":21766,"journal":{"name":"Signal Transduction and Targeted Therapy","volume":"24 1","pages":""},"PeriodicalIF":40.8000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Population-level analyses identify host and environmental variables influencing the vaginal microbiome\",\"authors\":\"Lang Qin, Tianyong Sun, Xiao Li, Shigang Zhao, Zheng Liu, Changlong Zhang, Congcong Jin, Yanqi Xu, Xuan Gao, Yongzhi Cao, Jiaojiao Wang, Ting Han, Lei Yan, Jialun Song, Fangfang Zhang, Feifei Liu, Yousheng Zhang, Yuzhen Huang, Yuping Song, Yanjun Liu, Jing Zhang, Xiuqing Zhang, Zhina Yao, Honglei Chen, Zhenzhen Zhang, Shengrui Zhao, Yuhan Feng, Ya-nan Zhang, Qian Yu, Fang Cao, Lijuan Zhao, Lei Xie, Ling Geng, Qiang Feng, Han Zhao, Zi-Jiang Chen\",\"doi\":\"10.1038/s41392-025-02152-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>The vaginal microbiome is critical for the reproductive health of women, yet the differential impacts exerted by the host and by ambient environmental variables on the vaginal microbiome remain largely unknown. Here, we conducted a comprehensive cross-sectional study of the relationships between the vaginal microbiome and 81 matched host and environmental variables across 6755 Chinese women. By 16S rRNA sequencing, we identified four core vaginal microbiota with a prevalence of over 90% and a total median abundance of 98.8%. Twenty-four variables, including physiology, lifestyle behaviors, gynecologic history, social and environmental information, were found associated with the microbiome composition, of which bacterial vaginosis (BV) showed the largest effect size. Age was among the strongest explanatory variables and the vaginal microbiome dynamically succeeded with increasing age, especially with a composition turning point at the age of 45. Our mediation analyses indicated that the effects of age on the microbiome could be mediated by variables such as parity number and lifestyles. We further classified the vaginal microbiomes of the population into 13 “Vagitypes”. Women with <i>Lactobacillus iners</i>- and <i>Lactobacillus jensenii</i>-dominated Vagitypes had significantly higher live birth rate than those with Vagitype dominated by <i>Fannyhessea vaginae</i> (53.40%, 59.09% vs 21.43%; OR [95% CI]: 3.62 [1.12–14.87], 5.39 [1.27–27.36]; <i>P</i> = 0.031, <i>P</i> = 0.021). This study provides a comprehensive overview of the associations between identified variables and the vaginal microbiome, representing an important step toward understanding of environment-microbe-host interactions.</p>\",\"PeriodicalId\":21766,\"journal\":{\"name\":\"Signal Transduction and Targeted Therapy\",\"volume\":\"24 1\",\"pages\":\"\"},\"PeriodicalIF\":40.8000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Signal Transduction and Targeted Therapy\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1038/s41392-025-02152-8\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Signal Transduction and Targeted Therapy","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1038/s41392-025-02152-8","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
引用次数: 0
摘要
阴道微生物组对妇女的生殖健康至关重要,但宿主和环境变量对阴道微生物组的不同影响在很大程度上仍然未知。在这里,我们对6755名中国女性的阴道微生物组与81个匹配的宿主和环境变量之间的关系进行了全面的横断面研究。通过16S rRNA测序,我们确定了四种核心阴道微生物群,患病率超过90%,总中位数丰度为98.8%。生理、生活方式、妇科病史、社会环境信息等24个变量与微生物组组成相关,其中细菌性阴道病(细菌性阴道病,BV)影响最大。年龄是最强的解释变量之一,阴道微生物组随着年龄的增长而动态成功,特别是在45岁时出现了一个组成转折点。我们的中介分析表明,年龄对微生物组的影响可能由胎次和生活方式等变量介导。我们进一步将人群的阴道微生物组划分为13个“阴道类型”。以纳氏乳杆菌和延生乳杆菌为主的阴道型妇女的活产率显著高于以粉孢杆菌为主的阴道型妇女(53.40%,59.09% vs 21.43%;或(95%置信区间):3.62 (1.12 - -14.87),5.39 (1.27 - -27.36);P = 0.031, P = 0.021)。这项研究提供了鉴定变量与阴道微生物组之间关系的全面概述,代表了理解环境-微生物-宿主相互作用的重要一步。
Population-level analyses identify host and environmental variables influencing the vaginal microbiome
The vaginal microbiome is critical for the reproductive health of women, yet the differential impacts exerted by the host and by ambient environmental variables on the vaginal microbiome remain largely unknown. Here, we conducted a comprehensive cross-sectional study of the relationships between the vaginal microbiome and 81 matched host and environmental variables across 6755 Chinese women. By 16S rRNA sequencing, we identified four core vaginal microbiota with a prevalence of over 90% and a total median abundance of 98.8%. Twenty-four variables, including physiology, lifestyle behaviors, gynecologic history, social and environmental information, were found associated with the microbiome composition, of which bacterial vaginosis (BV) showed the largest effect size. Age was among the strongest explanatory variables and the vaginal microbiome dynamically succeeded with increasing age, especially with a composition turning point at the age of 45. Our mediation analyses indicated that the effects of age on the microbiome could be mediated by variables such as parity number and lifestyles. We further classified the vaginal microbiomes of the population into 13 “Vagitypes”. Women with Lactobacillus iners- and Lactobacillus jensenii-dominated Vagitypes had significantly higher live birth rate than those with Vagitype dominated by Fannyhessea vaginae (53.40%, 59.09% vs 21.43%; OR [95% CI]: 3.62 [1.12–14.87], 5.39 [1.27–27.36]; P = 0.031, P = 0.021). This study provides a comprehensive overview of the associations between identified variables and the vaginal microbiome, representing an important step toward understanding of environment-microbe-host interactions.
期刊介绍:
Signal Transduction and Targeted Therapy is an open access journal that focuses on timely publication of cutting-edge discoveries and advancements in basic science and clinical research related to signal transduction and targeted therapy.
Scope: The journal covers research on major human diseases, including, but not limited to:
Cancer,Cardiovascular diseases,Autoimmune diseases,Nervous system diseases.