16S rRNA female reproductive microbiome investigation reveals Dalfopristin, Clorgyline, and Hydrazine as potential therapeutics for the treatment of bacterial vaginosis.

16S rRNA sequences Bacterial vaginosis Bioinformatics Pharmacological targets Reproductive medicine Vaginal microbiome

Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
11 May 2024
Historique:
received: 06 11 2023
revised: 09 05 2024
accepted: 09 05 2024
medline: 15 5 2024
pubmed: 15 5 2024
entrez: 14 5 2024
Statut: aheadofprint

Résumé

Bacterial vaginosis (BV) is a prevalent vaginal illness resulting from a disruption in the vaginal microbial equilibrium. The vaginal microbiota has been shown to have a substantial impact on the development and continuation of BV. This work utilized 16S rRNA sequence analysis of vaginal microbiome samples (Control vs BV samples) utilizing Parallel-Meta 3 to investigate the variations in microbial composition. The unique genes identified were used to determine prospective therapeutic targets and their corresponding inhibitory ligands. Further, molecular docking was conducted and then MD simulations were carried out to confirm the docking outcomes. In the BV samples, we detected several anaerobic bacteria recognized for their ability to generate biofilms, namely Acetohalobium, Anaerolineaceae, Desulfobacteraceae, and others. Furthermore, we identified Dalfopristin, Clorgyline, and Hydrazine as potential therapeutic options for the management of BV. This research provides new insights into the causes of BV and shows the potential effectiveness of novel pharmacological treatments.

Identifiants

pubmed: 38744093
pii: S0732-8893(24)00178-0
doi: 10.1016/j.diagmicrobio.2024.116349
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116349

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

Déclaration de conflit d'intérêts

Declaration of competing interest No potential conflict of interest was reported by the authors.

Auteurs

Sudeepti Kulshrestha (S)

Systems Biology and Data Analytics Research Lab, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.

Ritu Redhu (R)

Systems Biology and Data Analytics Research Lab, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.

Riya Dua (R)

Systems Biology and Data Analytics Research Lab, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.

Romasha Gupta (R)

CSIR Institute of Genomics & Integrative Biology, New Delhi, India.

Payal Gupta (P)

Systems Biology and Data Analytics Research Lab, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India.

Somesh Gupta (S)

Department of Dermatology & Venereology, All India Institute of Medical Sciences, New Delhi, India.

Priyanka Narad (P)

Division of Biomedical Informatics (BMI), Indian Council of Medical Research, Ansari Nagar, New Delhi, India.

Abhishek Sengupta (A)

Systems Biology and Data Analytics Research Lab, Centre for Computational Biology and Bioinformatics, Amity Institute of Biotechnology, Amity University Uttar Pradesh, Noida, India. Electronic address: asengupta@amity.edu.

Classifications MeSH