Multi-omic Microbiome Profiles in the Female Reproductive Tract in Early Pregnancy
作者机构:Department of Microbiology and ImmunologyVirginia Commonwealth UniversityRichmondVA Center for Microbiome Engineering and Data AnalysisVirginia Commonwealth UniversityRichmondVA Department of Statistical Sciences and Operations ResearchVirginia Commonwealth UniversityRichmondVA Supply Chain Management and AnalyticsSchool of BusinessVirginia Commonwealth UniversityRichmondVA Life SciencesVirginia Commonwealth UniversityRichmondVA DNAnexus Inc.Mountain ViewCA Frederick National Laboratory for Cancer ResearchFrederickMD Department of BiostatisticsVirginia Commonwealth UniversityRichmondVA Department of StatisticsUniversity of WyomingLaramieWY Obstetrics and GynecologyVirginia Commonwealth UniversityRichmondVA Pharmacotherapy and Outcomes ScienceVirginia Commonwealth UniversityRichmondVA Department of Computer ScienceVirginia Commonwealth UniversityRichmondVA.
出 版 物:《Infectious Microbes & Diseases》 (感染微生物与疾病(英文))
年 卷 期:2019年第1卷第2期
页 面:49-60页
学科分类:1002[医学-临床医学] 100211[医学-妇产科学] 10[医学]
基 金:National Institutes of Health, NIH, (4UH3AI083263, U54 DE023786) National Institutes of Health, NIH
主 题:vaginal microbiome preterm birth multi-omics metagenomics cytokine profiles lipidomics
摘 要:The vaginal microbiome likely influences host signaling compounds within the reproductive tract,including pro-inflammatory signals,which may play an important role during *** lactobacilli are associated with positive pregnancy outcome,whereas bacterial vaginosis,a dysbiosis of the vaginal microbiome,is associated with an increased risk of adverse pregnancy outcomes including preterm *** the host response could be predicted based on the taxonomic composition of the vaginal microbiome,particularly early in pregnancy,then those predictions could potentially be used to personalize intervention methods to reduce preterm birth and other adverse *** this proof of principle study,we apply multivariate strategies to analyze 16S rRNA-based taxonomic surveys in conjunction with targeted immuno-proteomic and lipidomic data from vaginal samples from 58 women enrolled in the Multi-Omic Microbiome Study-Pregnancy Initiative during early *** between the vaginal microbiome and the vaginal lipidome have not been previously *** from this study reveal significant multiple pairwise associations between microbial taxa,specific eicosanoids and sphingomyelins,and *** the biologic significance of these associations is not yet known,these results support the utility of such multi-omic approaches as a means to predict the impact of the microbiome on the host.