Rheumatoid arthritis treatment with zoledronic acid, a potentialinhibitorofGWAS-derived pharmacogenetics STAT3 and IL2 targets.


Journal

Gene
ISSN: 1879-0038
Titre abrégé: Gene
Pays: Netherlands
ID NLM: 7706761

Informations de publication

Date de publication:
25 May 2023
Historique:
received: 19 12 2022
revised: 17 02 2023
accepted: 01 03 2023
medline: 5 4 2023
pubmed: 9 3 2023
entrez: 8 3 2023
Statut: ppublish

Résumé

Rheumatoid arthritis (RA) is an inflammatory condition that primarily affects the joints and progress to affect other vital organs. Variety of drugs are being recommended to control the disease progression that benefits patients to perform day-to-day activities. Few of these RA drugs have noticeable side effects; therefore, it's crucial to choose the appropriate drug for treating RA with an understanding of the disease's pathophysiology. Herein, we investigated the RA genes from GWAS data to construct protein-protein interaction (PPI) network and to define appropriate drug targets for RA. The predicted drug targets were screened with the known RA drugs based on molecular docking. Further, the molecular dynamics simulations were performed to comprehend the conformational changes and stability of the targets upon binding of the selected top ranked RA drug. As a result, our constructed protein network from GWAS data revealed, STAT3 and IL2 could be potential pharmacogenetics targets that interlink most of the RA genes encoding proteins. These interlinked proteins of both the targets showed involvement in cell signaling, immune response, and TNF signaling pathway. Among the 192 RA drugs investigated, zoledronic acid had the lowest binding energy that inhibit both STAT3 (-6.307 kcal/mol) and IL2 (-6.231 kcal/mol). Additionally, STAT3 and IL2 trajectories on zoledronic acid binding exhibit notable differences in MD simulations as compared to a drug-free environment. Also, the in vitro assessment with the zoledronic acid confirms the outcome of our computational study. Overall, our study identify zoledronic acid could be potential inhibitor against these targets, that will benefits patients with RA. Comparative efficiency assessments between the RA drugs through clinical trials are needed to validate our findings in the treatment of RA.

Identifiants

pubmed: 36889532
pii: S0378-1119(23)00179-8
doi: 10.1016/j.gene.2023.147338
pii:
doi:

Substances chimiques

Interleukin-2 0
Zoledronic Acid 6XC1PAD3KF
STAT3 protein, human 0
STAT3 Transcription Factor 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

147338

Informations de copyright

Copyright © 2023 Elsevier B.V. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

V Janakiraman (V)

Drug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Academy of Research and Education, Chettinad Hospital and Research Institute, Kelambakkam 603103, Tamil Nadu, India.

M Sudhan (M)

Drug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Academy of Research and Education, Chettinad Hospital and Research Institute, Kelambakkam 603103, Tamil Nadu, India.

Shankargouda Patil (S)

College of Dental Medicine, Roseman University of Health Sciences, South Jordan, UT 84095, USA.

Khalid J Alzahrani (KJ)

Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Fuad M Alzahrani (FM)

Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Ibrahim F Halawani (IF)

Department of Clinical Laboratories Sciences, College of Applied Medical Sciences, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia.

Shiek S S J Ahmed (SSSJ)

Drug Discovery and Multi-omics Laboratory, Faculty of Allied Health Sciences, Chettinad Academy of Research and Education, Chettinad Hospital and Research Institute, Kelambakkam 603103, Tamil Nadu, India. Electronic address: shiekssjahmed@gmail.com.

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Classifications MeSH