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Racioethnic diversity in the dynamics of the vaginal microbiome during pregnancy.
Serrano, Myrna G; Parikh, Hardik I; Brooks, J Paul; Edwards, David J; Arodz, Tom J; Edupuganti, Laahirie; Huang, Bernice; Girerd, Philippe H; Bokhari, Yahya A; Bradley, Steven P; Brooks, Jamie L; Dickinson, Molly R; Drake, Jennifer I; Duckworth, Robert A; Fong, Stephen S; Glascock, Abigail L; Jean, Sophonie; Jimenez, Nicole R; Khoury, Joseph; Koparde, Vishal N; Lara, Ana M; Lee, Vladimir; Matveyev, Andrey V; Milton, Sarah H; Mistry, Shreni D; Rozycki, Sarah K; Sheth, Nihar U; Smirnova, Ekaterina; Vivadelli, Stephany C; Wijesooriya, N Romesh; Xu, Jie; Xu, Ping; Chaffin, Donald O; Sexton, Amber L; Gravett, Michael G; Rubens, Craig E; Hendricks-Muñoz, Karen D; Jefferson, Kimberly K; Strauss, Jerome F; Fettweis, Jennifer M; Buck, Gregory A.
Afiliación
  • Serrano MG; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Parikh HI; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Brooks JP; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Edwards DJ; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Arodz TJ; Supply Chain Management and Analytics, School of Business, Virginia Commonwealth University, Richmond, VA, USA.
  • Edupuganti L; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Huang B; Department of Statistical Sciences and Operations Research, College of Humanities and Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Girerd PH; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Bokhari YA; Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Bradley SP; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Brooks JL; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Dickinson MR; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Drake JI; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Duckworth RA; Department of Obstetrics and Gynecology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Fong SS; Department of Computer Science, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Glascock AL; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Jean S; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Jimenez NR; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Khoury J; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Koparde VN; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Lara AM; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Lee V; Department of Chemical and Life Science Engineering, College of Engineering, Virginia Commonwealth University, Richmond, VA, USA.
  • Matveyev AV; VCU Life Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Milton SH; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Mistry SD; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Rozycki SK; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Sheth NU; Division of General Pediatrics, Department of Pediatrics, School of Medicine, Children's Hospital of Richmond at Virginia Commonwealth University, Richmond, VA, USA.
  • Smirnova E; Division of Neonatal Medicine, Department of Pediatrics, School of Medicine, Children's Hospital of Richmond at Virginia Commonwealth University, Richmond, VA, USA.
  • Vivadelli SC; Department of Microbiology and Immunology, 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.
  • Xu J; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Xu P; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Chaffin DO; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Sexton AL; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
  • Gravett MG; Department of Obstetrics and Gynecology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Rubens CE; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Hendricks-Muñoz KD; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Jefferson KK; VCU Life Sciences, Virginia Commonwealth University, Richmond, VA, USA.
  • Strauss JF; Department of Biostatistics, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Fettweis JM; Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, VA, USA.
  • Buck GA; Center for Microbiome Engineering and Data Analysis, Virginia Commonwealth University, Richmond, VA, USA.
Nat Med ; 25(6): 1001-1011, 2019 06.
Article en En | MEDLINE | ID: mdl-31142850
The microbiome of the female reproductive tract has implications for women's reproductive health. We examined the vaginal microbiome in two cohorts of women who experienced normal term births: a cross-sectionally sampled cohort of 613 pregnant and 1,969 non-pregnant women, focusing on 300 pregnant and 300 non-pregnant women of African, Hispanic or European ancestry case-matched for race, gestational age and household income; and a longitudinally sampled cohort of 90 pregnant women of African or non-African ancestry. In these women, the vaginal microbiome shifted during pregnancy toward Lactobacillus-dominated profiles at the expense of taxa often associated with vaginal dysbiosis. The shifts occurred early in pregnancy, followed predictable patterns, were associated with simplification of the metabolic capacity of the microbiome and were significant only in women of African or Hispanic ancestry. Both genomic and environmental factors are likely contributors to these trends, with socioeconomic status as a likely environmental influence.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vagina / Embarazo / Microbiota Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans 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: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Vagina / Embarazo / Microbiota Tipo de estudio: Etiology_studies / Incidence_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans Idioma: En Revista: Nat Med Asunto de la revista: BIOLOGIA MOLECULAR / MEDICINA Año: 2019 Tipo del documento: Article País de afiliación: Estados Unidos