Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth.
longitudinal analysis
meta-analysis
microbiome
preterm birth
public data analysis
vaginal microbiome
Journal
Frontiers in microbiology
ISSN: 1664-302X
Titre abrégé: Front Microbiol
Pays: Switzerland
ID NLM: 101548977
Informations de publication
Date de publication:
2020
2020
Historique:
received:
13
12
2019
accepted:
04
03
2020
entrez:
24
4
2020
pubmed:
24
4
2020
medline:
24
4
2020
Statut:
epublish
Résumé
Preterm birth (PTB) is defined as the birth of an infant before 37 weeks of gestational age. It is the leading cause of perinatal morbidity and mortality worldwide. In this study, we present a comprehensive meta-analysis of vaginal microbiome in PTB. We integrated raw longitudinal 16S rRNA vaginal microbiome data from five independent studies across 3,201 samples and were able to gain new insights into the vaginal microbiome state in women who deliver preterm in comparison to those who deliver at term. We found that women who deliver prematurely show higher within-sample variance in vaginal microbiome abundance, with the most significant difference observed during the first trimester. Modeling the data longitudinally revealed a number of microbial genera as associated with PTB, including several that were previously known and two newly identified by this meta-analysis:
Identifiants
pubmed: 32322240
doi: 10.3389/fmicb.2020.00476
pmc: PMC7156768
doi:
Types de publication
Journal Article
Langues
eng
Pagination
476Informations de copyright
Copyright © 2020 Kosti, Lyalina, Pollard, Butte and Sirota.
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