The vaginal microbiome and preterm birth.
Jennifer M FettweisMyrna G SerranoJ Paul BrooksDavid J EdwardsPhilippe H GirerdHardik I ParikhBernice HuangTom J ArodzLaahirie EdupugantiAbigail L GlascockJie XuNicole R JimenezStephany C VivadelliStephen S FongNihar U ShethSophonie JeanVladimir LeeYahya A BokhariAna M LaraShreni D MistryRobert A DuckworthSteven P BradleyVishal N KopardeX Valentine OrendaSarah H MiltonSarah K RozyckiAndrey V MatveyevMichelle L WrightSnehalata V HuzurbazarEugenie M JacksonEkaterina SmirnovaJonas KorlachYu-Chih TsaiMolly R DickinsonJamie L BrooksJennifer I DrakeDonald O ChaffinAmber L SextonMichael G GravettCraig E RubensN Romesh WijesooriyaKaren D Hendricks-MuñozKimberly K JeffersonJerome F StraussGregory A BuckPublished in: Nature medicine (2019)
The incidence of preterm birth exceeds 10% worldwide. There are significant disparities in the frequency of preterm birth among populations within countries, and women of African ancestry disproportionately bear the burden of risk in the United States. In the present study, we report a community resource that includes 'omics' data from approximately 12,000 samples as part of the integrative Human Microbiome Project. Longitudinal analyses of 16S ribosomal RNA, metagenomic, metatranscriptomic and cytokine profiles from 45 preterm and 90 term birth controls identified harbingers of preterm birth in this cohort of women predominantly of African ancestry. Women who delivered preterm exhibited significantly lower vaginal levels of Lactobacillus crispatus and higher levels of BVAB1, Sneathia amnii, TM7-H1, a group of Prevotella species and nine additional taxa. The first representative genomes of BVAB1 and TM7-H1 are described. Preterm-birth-associated taxa were correlated with proinflammatory cytokines in vaginal fluid. These findings highlight new opportunities for assessment of the risk of preterm birth.
Keyphrases
- preterm birth
- gestational age
- low birth weight
- polycystic ovary syndrome
- pregnancy outcomes
- endothelial cells
- cross sectional
- healthcare
- risk factors
- breast cancer risk
- single cell
- type diabetes
- cervical cancer screening
- insulin resistance
- skeletal muscle
- antibiotic resistance genes
- health insurance
- artificial intelligence
- genome wide association study
- african american