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Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth

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 m...

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Autores principales: Kosti, Idit, Lyalina, Svetlana, Pollard, Katherine S., Butte, Atul J., Sirota, Marina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156768/
https://www.ncbi.nlm.nih.gov/pubmed/32322240
http://dx.doi.org/10.3389/fmicb.2020.00476
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author Kosti, Idit
Lyalina, Svetlana
Pollard, Katherine S.
Butte, Atul J.
Sirota, Marina
author_facet Kosti, Idit
Lyalina, Svetlana
Pollard, Katherine S.
Butte, Atul J.
Sirota, Marina
author_sort Kosti, Idit
collection PubMed
description 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: Olsenella and Clostridium sensu stricto. New hypotheses emerging from this integrative analysis can lead to novel diagnostics to identify women who are at higher risk for PTB and potentially inform new therapeutic interventions.
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spelling pubmed-71567682020-04-22 Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth Kosti, Idit Lyalina, Svetlana Pollard, Katherine S. Butte, Atul J. Sirota, Marina Front Microbiol Microbiology 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: Olsenella and Clostridium sensu stricto. New hypotheses emerging from this integrative analysis can lead to novel diagnostics to identify women who are at higher risk for PTB and potentially inform new therapeutic interventions. Frontiers Media S.A. 2020-04-08 /pmc/articles/PMC7156768/ /pubmed/32322240 http://dx.doi.org/10.3389/fmicb.2020.00476 Text en Copyright © 2020 Kosti, Lyalina, Pollard, Butte and Sirota. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Kosti, Idit
Lyalina, Svetlana
Pollard, Katherine S.
Butte, Atul J.
Sirota, Marina
Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title_full Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title_fullStr Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title_full_unstemmed Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title_short Meta-Analysis of Vaginal Microbiome Data Provides New Insights Into Preterm Birth
title_sort meta-analysis of vaginal microbiome data provides new insights into preterm birth
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7156768/
https://www.ncbi.nlm.nih.gov/pubmed/32322240
http://dx.doi.org/10.3389/fmicb.2020.00476
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