Vaginal Microbiome Composition in Early Pregnancy and Risk of Spontaneous Preterm and Early Term Birth Among African American Women.
Vaginal Microbiome Composition in Early Pregnancy and Risk of Spontaneous Preterm and Early Term Birth Among African American Women.
复制标题
DOI：
10.3389/fcimb.2021.641005
复制
发表时间：
2021
影响因子：
5.7
通讯作者：
Corwin EJ
中科院分区：
文献类型：
--
作者：
Dunlop AL;Satten GA;Hu YJ;Knight AK;Hill CC;Wright ML;Smith AK;Read TD;Pearce BD;Corwin EJ
评估非裔美国妇女妊娠早期阴道微生物组与自发性早产（sPTB）和早产（sETB）之间的关系。参加埃默里大学非裔美国人阴道、口腔和肠道微生物组妊娠研究的436名妇女在妊娠早期（妊娠8-14周）收集阴道样本，对V3-V4区进行16S rRNA基因测序、分类分类和群落状态类型（CST）分配。我们比较了以sPTB （N= 44）或sETB （N= 84）结束妊娠的妇女与足月分娩的妇女（N= 231）的阴道CST和类群丰度。近一半的女性阴道微生物组被归类为CST IV（多样的CST），而三分之一的女性阴道微生物组为CST III（乳杆菌为主），只有16%的女性阴道微生物组为CST I、II或V（非乳杆菌为主）。与阴道CST I、II或V（非乳杆菌为主）相比，CST III（乳杆菌为主）和CST IV（多样化）与sPTB相关，在多因素logistic回归中，调整后的比值比（95%置信区间）分别为4.1（1.1，无限性）和7.7（2.2，无限性）。相比之下，没有阴道CST与sETB相关。基于扩增子序列变异（ASV）相对丰度的线性分解模型（LDM）发现阴道微生物组对sPTB有显著的总体影响（p=0.034），但对sETB没有显著影响（p=0.320），而基于ASV是否存在的线性分解模型（LDM）发现对sPTB没有总体影响（p=0.328），但对sETB有显著影响（p=0.030）。在测试ASV特异性效应时，LDM发现，在控制多重比较（FDR为10%）后，考虑到相对丰度或存在/不存在数据，ASV与sPTB没有显著相关性，尽管在边际分析中，阴道加德纳菌（p=0.011）、非阴道乳杆菌（p=0.016）和curtisii Mobiluncus （p=0.035）的相对丰度以及阴道托泊菌（p=0.049）、BVAB2 （p=0.024）、Dialister microaerophilis （p=0.011）、羊膜普氏菌（p=0.044）与sPTB相关。LDM鉴定出7种asv的高丰度和13种asv的存在，这些asv都是肠道的常住居民，与FDR < 10%时的sETB相关。在这个非裔美国妇女队列中，妊娠早期阴道CST III或IV与sPTB的风险增加有关，但与sETB无关。妊娠早期阴道微生物组中不同类群的相对丰度和存在与sPTB或sETB相关。
To evaluate the association between the early pregnancy vaginal microbiome and spontaneous preterm birth (sPTB) and early term birth (sETB) among African American women. Vaginal samples collected in early pregnancy (8-14 weeks’ gestation) from 436 women enrolled in the Emory University African American Vaginal, Oral, and Gut Microbiome in Pregnancy Study underwent 16S rRNA gene sequencing of the V3-V4 region, taxonomic classification, and community state type (CST) assignment. We compared vaginal CST and abundance of taxa for women whose pregnancy ended in sPTB (N = 44) or sETB (N= 84) to those who delivered full term (N = 231). Nearly half of the women had a vaginal microbiome classified as CST IV (Diverse CST), while one-third had CST III (L. iners dominated) and just 16% had CST I, II, or V (non-iners Lactobacillus dominated). Compared to vaginal CST I, II, or V (non-iners Lactobacillus dominated), both CST III (L. iners dominated) and CST IV (Diverse) were associated with sPTB with an adjusted odds ratio (95% confidence interval) of 4.1 (1.1, infinity) and 7.7 (2.2, infinity), respectively, in multivariate logistic regression. In contrast, no vaginal CST was associated with sETB. The linear decomposition model (LDM) based on amplicon sequence variant (ASV) relative abundance found a significant overall effect of the vaginal microbiome on sPTB (p=0.034) but not sETB (p=0.320), whereas the LDM based on presence/absence of ASV found no overall effect on sPTB (p=0.328) but a significant effect on sETB (p=0.030). In testing for ASV-specific effects, the LDM found that no ASV was significantly associated with sPTB considering either relative abundance or presence/absence data after controlling for multiple comparisons (FDR 10%), although in marginal analysis the relative abundance of Gardnerella vaginalis (p=0.011), non-iners Lactobacillus (p=0.016), and Mobiluncus curtisii (p=0.035) and the presence of Atopobium vaginae (p=0.049), BVAB2 (p=0.024), Dialister microaerophilis (p=0.011), and Prevotella amnii (p=0.044) were associated with sPTB. The LDM identified the higher abundance of 7 ASVs and the presence of 13 ASVs, all commonly residents of the gut, as associated with sETB at FDR < 10%. In this cohort of African American women, an early pregnancy vaginal CST III or IV was associated with an increased risk of sPTB but not sETB. The relative abundance and presence of distinct taxa within the early pregnancy vaginal microbiome was associated with either sPTB or sETB.
登录
查看更多内容
影响因子：
4.4
作者：
Fettweis JM;Serrano MG;Sheth NU;Mayer CM;Glascock AL;Brooks JP;Jefferson KK;Vaginal Microbiome Consortium (additional members);Buck GA
通讯作者：
Buck GA
影响因子：
48
作者：
Callahan BJ;McMurdie PJ;Rosen MJ;Han AW;Johnson AJ;Holmes SP
通讯作者：
Holmes SP
影响因子：
15.5
作者：
Fadrosh DW;Ma B;Gajer P;Sengamalay N;Ott S;Brotman RM;Ravel J
通讯作者：
Ravel J
影响因子：
9.4
作者：
Forney, Larry J.;Gajer, Pawel;Ravel, Jacques
通讯作者：
Ravel, Jacques
影响因子：
2.8
作者：
Fettweis, Jennifer M.;Brooks, J. Paul;Buck, Gregory A.
通讯作者：
Buck, Gregory A.