Abstract

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.

As part of the second phase of Human Microbiome Project, the Multi-Omic Microbiome Study: Pregnancy Initiative presents a community resource to help better understand how microbiome and host profiles change throughout pregnancy as well as to identify new opportunities for assessment of the risk of preterm birth.

Details

Title
The vaginal microbiome and preterm birth
Author
Fettweis, Jennifer M 1   VIAFID ORCID Logo  ; Serrano, Myrna G 2 ; Paul, Brooks J 3 ; Edwards, David J 4 ; Girerd, Philippe H 5 ; Parikh, Hardik I 6 ; Huang, Bernice 6 ; Arodz, Tom J 7 ; Edupuganti Laahirie 2 ; Glascock, Abigail L 8 ; Xu, Jie 9 ; Jimenez, Nicole R 2 ; Vivadelli, Stephany C 2 ; Fong, Stephen S 10 ; Sheth, Nihar U 11 ; Sophonie, Jean 6 ; Lee, Vladimir 2 ; Bokhari, Yahya A 12 ; Lara, Ana M 6 ; Mistry, Shreni D 6 ; Duckworth, Robert A, III 6 ; Bradley, Steven P 6 ; Koparde, Vishal N 11 ; Valentine, Orenda X 6   VIAFID ORCID Logo  ; Milton, Sarah H 13 ; Rozycki, Sarah K 14 ; Matveyev, Andrey V 6 ; Wright, Michelle L 15   VIAFID ORCID Logo  ; Huzurbazar, Snehalata V 16 ; Jackson, Eugenie M 16 ; Smirnova Ekaterina 17   VIAFID ORCID Logo  ; Korlach Jonas 18 ; Tsai Yu-Chih 18   VIAFID ORCID Logo  ; Dickinson, Molly R 6 ; Brooks, Jamie L 6 ; Drake, Jennifer I 6 ; Chaffin, Donald O 19 ; Sexton, Amber L 19 ; Gravett, Michael G 20 ; Rubens, Craig E 21 ; Romesh, Wijesooriya N 22 ; Hendricks-Muñoz, Karen D 9 ; Jefferson, Kimberly K 2 ; Strauss, Jerome F, III 5 ; Buck, Gregory A 23   VIAFID ORCID Logo 

1  Virginia Commonwealth University, Department of Microbiology and Immunology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Department of Obstetrics and Gynecology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
2  Virginia Commonwealth University, Department of Microbiology and Immunology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
3  Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Supply Chain Management and Analytics, School of Business, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
4  Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Department of Statistical Sciences and Operations Research, College of Humanities and Sciences, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
5  Virginia Commonwealth University, Department of Obstetrics and Gynecology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
6  Virginia Commonwealth University, Department of Microbiology and Immunology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
7  Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Department of Computer Science, College of Engineering, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
8  Virginia Commonwealth University, VCU Life Sciences, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
9  Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Division of Neonatal Medicine, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Children’s Hospital of Richmond at Virginia Commonwealth University, Department of Pediatrics, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
10  Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Department of Chemical and Life Science Engineering, College of Engineering, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
11  Virginia Commonwealth University, Center for the Study of Biological Complexity, VCU Life Sciences, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
12  Virginia Commonwealth University, Department of Computer Science, College of Engineering, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
13  Virginia Commonwealth University, Department of Obstetrics and Gynecology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
14  Virginia Commonwealth University, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
15  Emory University, Nell Hodgson Woodruff School of Nursing, Atlanta, USA (GRID:grid.189967.8) (ISNI:0000 0001 0941 6502); University of Texas at Austin, Department of Women’s Health, Dell School of Medicine, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924); University of Texas at Austin, School of Nursing, Austin, USA (GRID:grid.89336.37) (ISNI:0000 0004 1936 9924) 
16  West Virginia University, Department of Biostatistics, School of Public Health, Morgantown, USA (GRID:grid.268154.c) (ISNI:0000 0001 2156 6140) 
17  University of Montana, Department of Mathematical Sciences, Missoula, USA (GRID:grid.253613.0) (ISNI:0000 0001 2192 5772); Virginia Commonwealth University, Department of Biostatistics, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
18  Pacific Biosciences, Menlo Park, USA (GRID:grid.423340.2) 
19  Global Alliance to Prevent Prematurity and Stillbirth, Seattle, USA (GRID:grid.224260.0) 
20  Global Alliance to Prevent Prematurity and Stillbirth, Seattle, USA (GRID:grid.224260.0); University of Washington, Department of Obstetrics & Gynecology, Seattle, USA (GRID:grid.34477.33) (ISNI:0000000122986657) 
21  Global Alliance to Prevent Prematurity and Stillbirth, Seattle, USA (GRID:grid.34477.33) 
22  Children’s Hospital of Richmond at Virginia Commonwealth University, Department of Pediatrics, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
23  Virginia Commonwealth University, Department of Microbiology and Immunology, School of Medicine, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Center for Microbiome Engineering and Data Analysis, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737); Virginia Commonwealth University, Department of Computer Science, College of Engineering, Richmond, USA (GRID:grid.224260.0) (ISNI:0000 0004 0458 8737) 
Pages
1012-1021
Publication year
2019
Publication date
Jun 2019
Publisher
Nature Publishing Group
ISSN
10788956
e-ISSN
1546170X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1038/s41591-019-0450-2
ProQuest document ID
2237861228
Copyright
© The Author(s), under exclusive licence to Springer Nature America, Inc. 2019. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.