Emma M Rosen1, Chantel L Martin1, Anna Maria Siega-Riz2, Nancy Dole3, Patricia V Basta1, Myrna Serrano4, Jennifer Fettweis4, Michael Wu5, Shan Sun6, John M Thorp7, Gregory Buck4, Anthony A Fodor6, Stephanie M Engel1. 1. Department of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. 2. Departments of Nutrition and Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, Massachusetts, USA. 3. Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA. 4. Department of Microbiology and Immunology, School of Medicine, Virginia Commonwealth University, Richmond, Virginia, USA. 5. Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, USA. 6. Department of Bioinformatics, University of North Carolina at Charlotte, Charlotte, North Carolina, USA. 7. Department of Obstetrics and Gynecology, School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.
Abstract
BACKGROUND: The vaginal microbiome has been associated with adverse pregnancy outcomes, but information on the impact of diet on microbiome composition is largely unexamined. OBJECTIVE: To estimate the association between prenatal diet and vaginal microbiota composition overall and by race. METHODS: We leveraged a racially diverse prenatal cohort of North Carolina women enrolled between 1995 and 2001 to conduct this analysis using cross-sectional data. Women completed food frequency questionnaires about diet in the previous 3 months and foods were categorised into subgroups: fruits, vegetables, nuts/seeds, whole grains, low-fat dairy, sweetened beverages and red meat. We additionally assessed dietary vitamin D, fibre and yogurt consumption. Stored vaginal swabs collected in mid-pregnancy were sequenced using 16S taxonomic profiling. Women were categorised into three groups based on predominance of species: Lactobacillus iners, Lactobacillus miscellaneous and Bacterial Vaginosis (BV)-associated bacteria. Adjusted Poisson models with robust variance estimators were run to assess the risk of being in a specific vagitype compared to the referent. Race-stratified models (Black/White) were also run. RESULTS: In this study of 634 women, higher consumption of dairy was associated with increased likelihood of membership in the L. crispatus group compared to the L. iners group in a dose-dependent manner (risk ratio quartile 4 vs. 1: 2.01, 95% confidence interval 1.36, 2.95). Increased intake of fruit, vitamin D, fibre and yogurt was also associated with increased likelihood of membership in L. crispatus compared to L. iners, but only among black women. Statistical heterogeneity was only detected for fibre intake. There were no detected associations between any other food groups or risk of membership in the BV group. CONCLUSIONS: Higher consumption of low-fat dairy was associated with increased likelihood of membership in a beneficial vagitype, potentially driven by probiotics.
BACKGROUND: The vaginal microbiome has been associated with adverse pregnancy outcomes, but information on the impact of diet on microbiome composition is largely unexamined. OBJECTIVE: To estimate the association between prenatal diet and vaginal microbiota composition overall and by race. METHODS: We leveraged a racially diverse prenatal cohort of North Carolina women enrolled between 1995 and 2001 to conduct this analysis using cross-sectional data. Women completed food frequency questionnaires about diet in the previous 3 months and foods were categorised into subgroups: fruits, vegetables, nuts/seeds, whole grains, low-fat dairy, sweetened beverages and red meat. We additionally assessed dietary vitamin D, fibre and yogurt consumption. Stored vaginal swabs collected in mid-pregnancy were sequenced using 16S taxonomic profiling. Women were categorised into three groups based on predominance of species: Lactobacillus iners, Lactobacillus miscellaneous and Bacterial Vaginosis (BV)-associated bacteria. Adjusted Poisson models with robust variance estimators were run to assess the risk of being in a specific vagitype compared to the referent. Race-stratified models (Black/White) were also run. RESULTS: In this study of 634 women, higher consumption of dairy was associated with increased likelihood of membership in the L. crispatus group compared to the L. iners group in a dose-dependent manner (risk ratio quartile 4 vs. 1: 2.01, 95% confidence interval 1.36, 2.95). Increased intake of fruit, vitamin D, fibre and yogurt was also associated with increased likelihood of membership in L. crispatus compared to L. iners, but only among black women. Statistical heterogeneity was only detected for fibre intake. There were no detected associations between any other food groups or risk of membership in the BV group. CONCLUSIONS: Higher consumption of low-fat dairy was associated with increased likelihood of membership in a beneficial vagitype, potentially driven by probiotics.
Authors: Marie E Thoma; Mark A Klebanoff; Alisha J Rovner; Tonja R Nansel; Yasmin Neggers; William W Andrews; Jane R Schwebke Journal: J Nutr Date: 2011-07-06 Impact factor: 4.798
Authors: Richard G Brown; Julian R Marchesi; Yun S Lee; Ann Smith; Benjamin Lehne; Lindsay M Kindinger; Vasso Terzidou; Elaine Holmes; Jeremy K Nicholson; Phillip R Bennett; David A MacIntyre Journal: BMC Med Date: 2018-01-24 Impact factor: 8.775
Authors: Jennifer M Fettweis; Myrna G Serrano; J Paul Brooks; David J Edwards; Philippe H Girerd; Hardik I Parikh; Bernice Huang; Tom J Arodz; Laahirie Edupuganti; Abigail L Glascock; Jie Xu; Nicole R Jimenez; Stephany C Vivadelli; Stephen S Fong; Nihar U Sheth; Sophonie Jean; Vladimir Lee; Yahya A Bokhari; Ana M Lara; Shreni D Mistry; Robert A Duckworth; Steven P Bradley; Vishal N Koparde; X Valentine Orenda; Sarah H Milton; Sarah K Rozycki; Andrey V Matveyev; Michelle L Wright; Snehalata V Huzurbazar; Eugenie M Jackson; Ekaterina Smirnova; Jonas Korlach; Yu-Chih Tsai; Molly R Dickinson; Jamie L Brooks; Jennifer I Drake; Donald O Chaffin; Amber L Sexton; Michael G Gravett; Craig E Rubens; N Romesh Wijesooriya; Karen D Hendricks-Muñoz; Kimberly K Jefferson; Jerome F Strauss; Gregory A Buck Journal: Nat Med Date: 2019-05-29 Impact factor: 53.440