Evidence map›Paper›PMID 41509602›Full record

ArticleThe archives of bone and joint surgery2025

Drug Repurposing for Frozen Shoulder; a Bioinformatics Meta-Analysis.

Yashar Shahbaz, Taimoor Ali, Atieh Nouralishahi, Kazem Ansari, Salwa Usman, Syed Mohammad Mohtashim, Mohammad Zarenezhad, Lohrasb Taheri, Shahram Shafa, Mansoor Deilami

Abstract read
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Article in The archives of bone and joint surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Yashar ShahbazOrthopedic Research Center, Shahid Kamyab Hospital, Mashhad University of Medical Sciences, Mashhad, Iran.
Taimoor AliDepartment of orthopaedic surgery, Dow University of health sciences, civil hospital, karachi, Pakistan.
Atieh NouralishahiSub-Department of Operations and Analytics, Department of Management, Faculty of Environment, Science and Economy, University of Exeter Exeter, UK.
Kazem AnsariShahid Sadoughi University of Medical Sciences, Yazd, Iran.
Salwa UsmanDepartment of Family Medicine, Hamdard Health, Chicago, IL United States.
Syed Mohammad MohtashimDepartment of Orthopaedic surgery, Children's health Ireland hospital, Dublin, Ireland.
Mohammad ZarenezhadLegal Medicine Research Center, Legal Medicine Organization, Tehran, Iran.
Lohrasb TaheriDepartment of Surgery, School of Medicine, Peymanie Hospital, Jahrom University of Medical Sciences, Iran.
Shahram ShafaDepartment of Orthopedics, School of Medicine, Peymanie Hospital, Jahrom University of Medical Sciences, Iran.
Mansoor DeilamiDepartment of Anesthesiology and Critical Care, School of Medicine, 5th Azar Hospital, Sayyad Shirazi Hospital, Golestan University of Medical Sciences, Golestan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Adhesive capsulitis (AC), commonly known as frozen shoulder (FS), is characterized by glenohumeral joint capsule contraction, resulting in pain, stiffness, and dysfunction. Genetic factors have been implicated in the etiology of AC, prompting a bioinformatics investigation to explore potential therapeutic targets. Methods: A systematic review of Gene Expression Omnibus (GEO) datasets was conducted using keywords related to Frozen Shoulder and Adhesive Capsulitis. The gene expression profiles from GSE238052, GSE190023, and GSE140731 were analyzed using the i-DEP package. Differential gene expression analysis, Gene Ontology (GO) enrichments, and drug-gene enrichments were performed through biclustering of GO pathways with the Drug.GeneSet database and dpGSEA Python application. Results: Among 58,825 genes in 67 samples, 1,036 upregulated and 378 downregulated genes were identified in the case-control comparison. Upregulated pathways included skeletal muscle adaptation, fiber transition, myofibril assembly, and regulation of muscle fiber development. Drug.GeneSet database analysis highlighted adenosine and its derivatives as potential therapeutic targets. Further dpGSEA analysis revealed a significant influence of adenosine on the disease. Conclusion: This study provides information about the genomic landscape of adhesive capsulitis, identifying potential therapeutic avenues centered around adenosine-related interventions. While topical or intra-articular injection of adenosine is evident in the literature, this finding should be validated through experimental studies.

Indexed as

Adhesive capsulitisBioinformatics analysisFrozen shoulderGene expression omnibus

Identifiers

PMID41509602
PMCPMC12777660

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