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Quantitative modeling predicts mechanistic links between pre-treatment microbiome composition and metronidazole efficacy in bacterial vaginosis
Journal article   Open access  Peer reviewed

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

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, …
Nature communications, Vol.11(1), pp.6147-6147
2020-12-01
PMID: 33262350

Abstract

Anti-Bacterial Agents - administration & dosage Bacteria - classification Bacteria - drug effects Bacteria - genetics Bacteria - growth & development Cohort Studies Female Gardnerella vaginalis - drug effects Gardnerella vaginalis - genetics Gardnerella vaginalis - growth & development Humans Lactobacillus - drug effects Lactobacillus - genetics Lactobacillus - growth & development Metronidazole - administration & dosage Microbiota - drug effects Treatment Outcome Vagina - drug effects Vagina - microbiology Vaginosis, Bacterial - drug therapy Vaginosis, Bacterial - microbiology
url
https://doi.org/10.1038/s41467-020-19880-wView
Published (Version of record) Open

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Collaboration types
Domestic collaboration
International collaboration
Citation topics
1 Clinical & Life Sciences
1.248 Sexually Transmitted Infections
1.248.655 Chlamydia Trachomatis
Web Of Science research areas
Microbiology
ESI research areas
Immunology

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#3 Good Health and Well-Being

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