Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis

Bacterial vaginosis (BV) is typically caused by a shift in the vaginal microbiota from a Lactobacillus-dominant community to one colonised by strains of Gardenerella vaginalis and treatment with the antibiotic metronidazole (MNZ) often results in failure and recurrence. Here, the authors use modelli...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Christina Y. Lee, Ryan K. Cheu, Melissa M. Lemke, Andrew T. Gustin, Michael T. France, Benjamin Hampel, Andrea R. Thurman, Gustavo F. Doncel, Jacques Ravel, Nichole R. Klatt, Kelly B. Arnold
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/9d83bafea6184047b1ac4bc5543da3b9
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:9d83bafea6184047b1ac4bc5543da3b9
record_format	dspace
spelling	oai:doaj.org-article:9d83bafea6184047b1ac4bc5543da3b92021-12-02T14:41:02ZQuantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis10.1038/s41467-020-19880-w2041-1723https://doaj.org/article/9d83bafea6184047b1ac4bc5543da3b92020-12-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-19880-whttps://doaj.org/toc/2041-1723Bacterial vaginosis (BV) is typically caused by a shift in the vaginal microbiota from a Lactobacillus-dominant community to one colonised by strains of Gardenerella vaginalis and treatment with the antibiotic metronidazole (MNZ) often results in failure and recurrence. Here, the authors use modelling and in vitro assays to show that sequestration of MNZ by Lactobacillus is critical in reducing efficacy and women with a higher pre-treatment Lactobacillus/Gardnerella ratio are more likely to recur.Christina Y. LeeRyan K. CheuMelissa M. LemkeAndrew T. GustinMichael T. FranceBenjamin HampelAndrea R. ThurmanGustavo F. DoncelJacques RavelNichole R. KlattKelly B. ArnoldNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Christina Y. Lee Ryan K. Cheu Melissa M. Lemke Andrew T. Gustin Michael T. France Benjamin Hampel Andrea R. Thurman Gustavo F. Doncel Jacques Ravel Nichole R. Klatt Kelly B. Arnold Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
description	Bacterial vaginosis (BV) is typically caused by a shift in the vaginal microbiota from a Lactobacillus-dominant community to one colonised by strains of Gardenerella vaginalis and treatment with the antibiotic metronidazole (MNZ) often results in failure and recurrence. Here, the authors use modelling and in vitro assays to show that sequestration of MNZ by Lactobacillus is critical in reducing efficacy and women with a higher pre-treatment Lactobacillus/Gardnerella ratio are more likely to recur.
format	article
author	Christina Y. Lee Ryan K. Cheu Melissa M. Lemke Andrew T. Gustin Michael T. France Benjamin Hampel Andrea R. Thurman Gustavo F. Doncel Jacques Ravel Nichole R. Klatt Kelly B. Arnold
author_facet	Christina Y. Lee Ryan K. Cheu Melissa M. Lemke Andrew T. Gustin Michael T. France Benjamin Hampel Andrea R. Thurman Gustavo F. Doncel Jacques Ravel Nichole R. Klatt Kelly B. Arnold
author_sort	Christina Y. Lee
title	Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
title_short	Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
title_full	Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
title_fullStr	Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
title_full_unstemmed	Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
title_sort	quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/9d83bafea6184047b1ac4bc5543da3b9
work_keys_str_mv	AT christinaylee quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT ryankcheu quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT melissamlemke quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT andrewtgustin quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT michaeltfrance quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT benjaminhampel quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT andrearthurman quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT gustavofdoncel quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT jacquesravel quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT nicholerklatt quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis AT kellybarnold quantitativemodelingpredictsmechanisticlinksbetweenpretreatmentmicrobiomecompositionandmetronidazoleefficacyinbacterialvaginosis
_version_	1718390069799157760

Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis

Ejemplares similares