Journal article
Vaginal microbiota and cytokine levels predict preterm delivery in Asian women
- Abstract:
- Preterm birth (PTB) is the most common cause of neonatal morbidity and mortality worldwide. Approximately half of PTBs is linked with microbial etiologies, including pathologic changes to the vaginal microbiota, which vary according to ethnicity. Globally more than 50% of PTBs occur in Asia, but studies of the vaginal microbiome and its association with pregnancy outcomes in Asian women are lacking. This study aimed to longitudinally analyzed the vaginal microbiome and cytokine environment of 18 Karen and Burman pregnant women who delivered preterm and 36 matched controls delivering at full term. Using 16S ribosomal RNA gene sequencing we identified a predictive vaginal microbiota signature for PTB that was detectable as early as the first trimester of pregnancy, characterized by higher levels of Prevotella buccalis, and lower levels of Lactobacillus crispatus and Finegoldia, accompanied by decreased levels of cytokines including IFNγ, IL-4, and TNFα. Differences in the vaginal microbial diversity and local vaginal immune environment were associated with greater risk of preterm birth. Our findings highlight new opportunities to predict PTB in Asian women in low-resource settings who are at highest risk of adverse outcomes from unexpected PTB, as well as in Burman/Karen ethnic minority groups in high-resource regions.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 5.0MB, Terms of use)
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- Publisher copy:
- 10.3389/fcimb.2021.639665
Authors
- Publisher:
- Frontiers Media
- Journal:
- Frontiers in Cellular and Infection Microbiology More from this journal
- Volume:
- 11
- Article number:
- 639665
- Place of publication:
- Switzerland
- Publication date:
- 2021-03-04
- Acceptance date:
- 2021-01-28
- DOI:
- EISSN:
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2235-2988
- Pmid:
-
33747983
- Language:
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English
- Keywords:
- Pubs id:
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1167910
- Local pid:
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pubs:1167910
- Deposit date:
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2021-04-29
- ARK identifier:
Terms of use
- Copyright holder:
- M Kumar et al.
- Copyright date:
- 2021
- Rights statement:
- © 2021 Kumar, Murugesan, Singh, Saadaoui, Elhag, Terranegra, Kabeer, Marr, Kino, Brummaier, McGready, Nosten, Chaussabel and Al Khodor. 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.
- Licence:
- CC Attribution (CC BY)
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