Race, the Vaginal Microbiome, and Spontaneous Preterm Birth-Reference-Cited by-同舟云学术

Race, the Vaginal Microbiome, and Spontaneous Preterm Birth

Published:2022-06-28 Issue:3 Volume:7 Page:
ISSN:2379-5077
Container-title:mSystems
language:en
Short-container-title:mSystems

Author:

Sun Shan¹,Serrano Myrna G.²,Fettweis Jennifer M.²,Basta Patricia³,Rosen Emma³,Ludwig Kim³,Sorgen Alicia A.¹,Blakley Ivory C.¹,Wu Michael C.⁴,Dole Nancy⁵,Thorp John M.⁶,Siega-Riz Anna Maria⁷,Buck Gregory A.²,Fodor Anthony A.¹,Engel Stephanie M.³

Affiliation:

1. Department of Bioinformatics and Genomics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA

2. Department of Microbiology and Immunology and the Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, Virginia, USA

3. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

4. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA

5. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

6. Department of Obstetrics and Gynaecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

7. School of Public Health & Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA

Abstract

Approximately 10% of all pregnancies in the United States end in preterm birth, and over 14% of pregnancies end in preterm birth among Black women. Knowledge on the associations between vaginal microbiome and preterm birth is important for understanding the potential cause and assessing risk of preterm birth.

Funder

HHS | National Institutes of Health

Publisher

American Society for Microbiology

Subject

Computer Science Applications,Genetics,Molecular Biology,Modeling and Simulation,Ecology, Evolution, Behavior and Systematics,Biochemistry,Physiology,Microbiology

Link

https://journals.asm.org/doi/pdf/10.1128/msystems.00017-22

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