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The vaginal microbiome and preterm birth.
Fettweis, Jennifer M; Serrano, Myrna G; Brooks, J Paul; Edwards, David J; Girerd, Philippe H; Parikh, Hardik I; Huang, Bernice; Arodz, Tom J; Edupuganti, Laahirie; Glascock, Abigail L; Xu, Jie; Jimenez, Nicole R; Vivadelli, Stephany C; Fong, Stephen S; Sheth, Nihar U; Jean, Sophonie; Lee, Vladimir; Bokhari, Yahya A; Lara, Ana M; Mistry, Shreni D; Duckworth, Robert A; Bradley, Steven P; Koparde, Vishal N; Orenda, X Valentine; Milton, Sarah H; Rozycki, Sarah K; Matveyev, Andrey V; Wright, Michelle L; Huzurbazar, Snehalata V; Jackson, Eugenie M; Smirnova, Ekaterina; Korlach, Jonas; Tsai, Yu-Chih; Dickinson, Molly R; Brooks, Jamie L; Drake, Jennifer I; Chaffin, Donald O; Sexton, Amber L; Gravett, Michael G; Rubens, Craig E; Wijesooriya, N Romesh; Hendricks-Muñoz, Karen D; Jefferson, Kimberly K; Strauss, Jerome F; Buck, Gregory A.
Afiliación
  • Fettweis JM; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Serrano MG; Department of Obstetrics and Gynecology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Brooks JP; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Edwards DJ; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Girerd PH; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Parikh HI; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Huang B; Supply Chain Management and Analytics, School of Business, Virginia Commonwealth University, Richmond, VA, USA.
  • Arodz TJ; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Edupuganti L; Department of Statistical Sciences and Operations Research, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Glascock AL; Department of Obstetrics and Gynecology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Xu J; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Jimenez NR; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Vivadelli SC; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Fong SS; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Sheth NU; Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Jean S; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Lee V; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Bokhari YA; VCU Life Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Lara AM; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Mistry SD; Division of Neonatal Medicine, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Duckworth RA; Department of Pediatrics, School of Medicine, Children's Hospital of Richmond at Virginia Commonwealth University, Richmond, VA, USA.
  • Bradley SP; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Koparde VN; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Orenda XV; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Milton SH; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Rozycki SK; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Matveyev AV; Department of Chemical and Life Science Engineering, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Wright ML; Center for the Study of Biological Complexity, VCU Life Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Huzurbazar SV; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Jackson EM; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Smirnova E; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Korlach J; Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Tsai YC; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Dickinson MR; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Brooks JL; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Drake JI; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Chaffin DO; Center for the Study of Biological Complexity, VCU Life Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Sexton AL; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Gravett MG; Department of Obstetrics and Gynecology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Rubens CE; School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Wijesooriya NR; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Hendricks-Muñoz KD; Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, GA, USA.
  • Jefferson KK; Department of Women's Health, Dell School of Medicine, University of Texas at Austin, Austin, TX, USA.
  • Strauss JF; School of Nursing, University of Texas at Austin, Austin, TX, USA.
  • Buck GA; Department of Biostatistics, School of Public Health, West Virginia University, Morgantown, WV, USA.
Nat Med ; 25(6): 1012-1021, 2019 06.
Article en En | MEDLINE | ID: mdl-31142849
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.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vagina / Nacimiento Prematuro / Microbiota Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Newborn País/Región como asunto: America do norte Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos
Texto completo
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vagina / Nacimiento Prematuro / Microbiota Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Newborn País/Región como asunto: America do norte Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos