Rupak Shivakoti1, Susan Tuddenham2, Laura E Caulfield3, Catherine Murphy4, Courtney Robinson5, Jacques Ravel6, Khalil G Ghanem7, Rebecca M Brotman8. 1. Department of Epidemiology, Columbia University Mailman School of Public Health, New York, 10032, USA. Electronic address: rs3895@cumc.columbia.edu. 2. Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA. Electronic address: studden1@jhmi.edu. 3. Center for Human Nutrition, Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, 21205, USA. Electronic address: lcaulfi1@jhu.edu. 4. Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA. Electronic address: catracmurphy@gmail.com. 5. Institute for Genome Science, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. Electronic address: courtneykrobinson@gmail.com. 6. Institute for Genome Science, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. Electronic address: jravel@som.umaryland.edu. 7. Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD, 21224, USA. Electronic address: kghanem@jhmi.edu. 8. Institute for Genome Science, University of Maryland School of Medicine, Baltimore, MD, 21201, USA. Electronic address: rbrotman@som.umaryland.edu.
Abstract
BACKGROUND & AIMS: Women with bacterial vaginosis (BV) have increased risk of sexually transmitted infections and other adverse health outcomes. Based on the composition of their vaginal microbiota, women can broadly be classified into low-Lactobacillus (termed molecular-BV) and Lactobacillus-dominated profiles. Our objective was to determine the association between dietary macronutrient intake and molecular-BV. METHODS: In a cross-sectional study of 104 reproductive-age women, dietary intake data were obtained using the Block Brief 2000 food frequency questionnaire. Vaginal microbiota composition was characterized by sequencing amplicons of the 16S rRNA gene V3-V4 regions and clustering into community state types (CST). Logistic regression was used to determine the association of macronutrient intake with molecular-BV (low-Lactobacillus vs. Lactobacillus-dominated CSTs combined). RESULTS: Participants had a median age of 25.9 (interquartile range: 21.9-29.6), 58% were white (30% black), 51% overweight/obese and 52% on hormonal contraception. In multivariable models, diets richer in fiber were inversely associated with molecular-BV (adjusted odds ratio: 0.49 per standard deviation increase in energy-adjusted fiber intake, 95% confidence interval: 0.24-0.99; p = 0.049). CONCLUSIONS: Our results indicate that diets richer in fiber were associated with lower odds of molecular-BV. Further studies are needed to confirm these findings and to test whether increasing fiber intake can modulate the microbiota towards a more optimal Lactobacillus-dominant profile.
BACKGROUND & AIMS:Women with bacterial vaginosis (BV) have increased risk of sexually transmitted infections and other adverse health outcomes. Based on the composition of their vaginal microbiota, women can broadly be classified into low-Lactobacillus (termed molecular-BV) and Lactobacillus-dominated profiles. Our objective was to determine the association between dietary macronutrient intake and molecular-BV. METHODS: In a cross-sectional study of 104 reproductive-age women, dietary intake data were obtained using the Block Brief 2000 food frequency questionnaire. Vaginal microbiota composition was characterized by sequencing amplicons of the 16S rRNA gene V3-V4 regions and clustering into community state types (CST). Logistic regression was used to determine the association of macronutrient intake with molecular-BV (low-Lactobacillus vs. Lactobacillus-dominated CSTs combined). RESULTS:Participants had a median age of 25.9 (interquartile range: 21.9-29.6), 58% were white (30% black), 51% overweight/obese and 52% on hormonal contraception. In multivariable models, diets richer in fiber were inversely associated with molecular-BV (adjusted odds ratio: 0.49 per standard deviation increase in energy-adjusted fiber intake, 95% confidence interval: 0.24-0.99; p = 0.049). CONCLUSIONS: Our results indicate that diets richer in fiber were associated with lower odds of molecular-BV. Further studies are needed to confirm these findings and to test whether increasing fiber intake can modulate the microbiota towards a more optimal Lactobacillus-dominant profile.
Authors: Julia M W Wong; Russell de Souza; Cyril W C Kendall; Azadeh Emam; David J A Jenkins Journal: J Clin Gastroenterol Date: 2006-03 Impact factor: 3.062
Authors: Marcus J Claesson; Ian B Jeffery; Susana Conde; Susan E Power; Eibhlís M O'Connor; Siobhán Cusack; Hugh M B Harris; Mairead Coakley; Bhuvaneswari Lakshminarayanan; Orla O'Sullivan; Gerald F Fitzgerald; Jennifer Deane; Michael O'Connor; Norma Harnedy; Kieran O'Connor; Denis O'Mahony; Douwe van Sinderen; Martina Wallace; Lorraine Brennan; Catherine Stanton; Julian R Marchesi; Anthony P Fitzgerald; Fergus Shanahan; Colin Hill; R Paul Ross; Paul W O'Toole Journal: Nature Date: 2012-08-09 Impact factor: 49.962
Authors: Pawel Gajer; Rebecca M Brotman; Guoyun Bai; Joyce Sakamoto; Ursel M E Schütte; Xue Zhong; Sara S K Koenig; Li Fu; Zhanshan Sam Ma; Xia Zhou; Zaid Abdo; Larry J Forney; Jacques Ravel Journal: Sci Transl Med Date: 2012-05-02 Impact factor: 17.956
Authors: Nichole R Klatt; Ryan Cheu; Kenzie Birse; Alexander S Zevin; Michelle Perner; Laura Noël-Romas; Anneke Grobler; Garrett Westmacott; Irene Y Xie; Jennifer Butler; Leila Mansoor; Lyle R McKinnon; Jo-Ann S Passmore; Quarraisha Abdool Karim; Salim S Abdool Karim; Adam D Burgener Journal: Science Date: 2017-06-02 Impact factor: 47.728
Authors: Rita T Brookheart; Warren G Lewis; Jeffrey F Peipert; Amanda L Lewis; Jenifer E Allsworth Journal: Am J Obstet Gynecol Date: 2019-01-29 Impact factor: 8.661
Authors: Lyle R McKinnon; Sharon L Achilles; Catriona S Bradshaw; Adam Burgener; Tania Crucitti; David N Fredricks; Heather B Jaspan; Rupert Kaul; Charu Kaushic; Nichole Klatt; Douglas S Kwon; Jeanne M Marrazzo; Lindi Masson; R Scott McClelland; Jacques Ravel; Janneke H H M van de Wijgert; Lenka A Vodstrcil; Gilda Tachedjian Journal: AIDS Res Hum Retroviruses Date: 2019-03 Impact factor: 2.205
Authors: Emma M Rosen; Chantel L Martin; Anna Maria Siega-Riz; Nancy Dole; Patricia V Basta; Myrna Serrano; Jennifer Fettweis; Michael Wu; Shan Sun; John M Thorp; Gregory Buck; Anthony A Fodor; Stephanie M Engel Journal: Paediatr Perinat Epidemiol Date: 2021-11-28 Impact factor: 3.980
Authors: Christophe d'Enfert; Ann-Kristin Kaune; Leovigildo-Rey Alaban; Sayoni Chakraborty; Nathaniel Cole; Margot Delavy; Daria Kosmala; Benoît Marsaux; Ricardo Fróis-Martins; Moran Morelli; Diletta Rosati; Marisa Valentine; Zixuan Xie; Yoan Emritloll; Peter A Warn; Frédéric Bequet; Marie-Elisabeth Bougnoux; Stephanie Bornes; Mark S Gresnigt; Bernhard Hube; Ilse D Jacobsen; Mélanie Legrand; Salomé Leibundgut-Landmann; Chaysavanh Manichanh; Carol A Munro; Mihai G Netea; Karla Queiroz; Karine Roget; Vincent Thomas; Claudia Thoral; Pieter Van den Abbeele; Alan W Walker; Alistair J P Brown Journal: FEMS Microbiol Rev Date: 2021-05-05 Impact factor: 16.408