Computational evaluation of efflux pump homologues and lignans as potent inhibitors against multidrug-resistant Salmonella typhi.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 19 12 2023
accepted: 22 04 2024
medline: 25 6 2024
pubmed: 25 6 2024
entrez: 25 6 2024
Statut: epublish

Résumé

Typhoid fever, caused by Salmonella enterica serovar typhi, presents a substantial global health threat, particularly in regions with limited healthcare infrastructure. The rise of multidrug-resistant strains of S. typhi exacerbates this challenge, severely compromising conventional treatment efficacy due to over activity of efflux pumps. In our study, a comprehensive exploration of two fundamental aspects to combat MDR in S. typhi is carried out; i.e. employing advanced bioinformatics analyses and AlphaFold AI, We successfully identified and characterised a putative homologue, ABC-TPA, reminiscent of the P-glycoprotein (P-gp) known for its role in multidrug resistance in diverse pathogens. This discovery provides a critical foundation for understanding the potential mechanisms driving antibiotic resistance in S. typhi. Furthermore, employing computational methodologies, We meticulously assessed the potential of lignans, specifically Schisandrin A, B, and C, as promising Efflux Pump Inhibitors (EPIs) against the identified P-gp homologue in S. typhi. Noteworthy findings revealed robust binding interactions of Schisandrin A and B with the target protein, indicating substantial inhibitory capabilities. In contrast, Schisandrin C exhibited instability, showing varied effectiveness among the evaluated lignans. Pharmacokinetics and toxicity predictions underscored the favourable attributes of Schisandrin A, including prolonged action duration. Furthermore, high systemic stability and demanished toxicity profile of SA and SB present their therapeutic efficacy against MDR. This comprehensive investigation not only elucidates potential therapeutic strategies against MDR strains of S. typhi but also highlights the relevance of computational approaches in identifying and evaluating promising candidates. These findings lay a robust foundation for future empirical studies to address the formidable challenges antibiotic resistance poses in this clinically significant infectious diseases.

Identifiants

pubmed: 38917154
doi: 10.1371/journal.pone.0303285
pii: PONE-D-23-41607
doi:

Substances chimiques

Lignans 0
Anti-Bacterial Agents 0
Bacterial Proteins 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0303285

Informations de copyright

Copyright: © 2024 Shafique et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Iqra Shafique (I)

Department of Biomedical Engineering and Sciences, School of Mechanical & Manufacturing Engineering, National University of Science & Technology, Islamabad, Pakistan.

Mehak Rafiq (M)

School of Interdisciplinary Engineering & Sciences (SINES), National University of Science & Technology, Islamabad, Pakistan.

Nosheen Fatima Rana (NF)

Department of Biomedical Engineering and Sciences, School of Mechanical & Manufacturing Engineering, National University of Science & Technology, Islamabad, Pakistan.

Farid Menaa (F)

Department of Medicine and Nanomedicine, California Innovations Corporation, San Diego, CA, United States of America.

Fatemah Almalki (F)

Department of Biology, College of Science and Humanities, Shaqra University, Al Quwaiiyah, Saudi Arabia.

Alya Aljuaid (A)

Department of Biology, College of Science and Humanities, Shaqra University, Al Quwaiiyah, Saudi Arabia.

Sulaiman Mohammed Alnasser (SM)

Department of Pharmacology, Unaizah College of Pharmacy, Qassim University, Buraydah, Saudi Arabia.

Amenah S Alotaibi (AS)

Department of Biology, Genomic & Biotechnology Unit, Faculty of Science, University of Tabuk, Tabuk, Saudi Arabia.

Madahiah Bint E Masood (MBE)

School of Interdisciplinary Engineering & Sciences (SINES), National University of Science & Technology, Islamabad, Pakistan.

Tahreem Tanweer (T)

Department of Biomedical Engineering and Sciences, School of Mechanical & Manufacturing Engineering, National University of Science & Technology, Islamabad, Pakistan.

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Classifications MeSH