Transcriptomic analysis of adhesive capsulitis of the shoulder

Kamal, Nima, Mcgee, Sean L., Eng, Kevin, Brown, Graeme, Beattie, Sally, Collier, Fiona, Gill, Stephen and Page, Richard S. 2020, Transcriptomic analysis of adhesive capsulitis of the shoulder, Journal of Orthopaedic Research, vol. 38, no. 10, pp. 2280-2289, doi: 10.1002/jor.24686.

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Title Transcriptomic analysis of adhesive capsulitis of the shoulder
Author(s) Kamal, Nima
Mcgee, Sean L.ORCID iD for Mcgee, Sean L.
Eng, Kevin
Brown, Graeme
Beattie, Sally
Collier, FionaORCID iD for Collier, Fiona
Gill, StephenORCID iD for Gill, Stephen
Page, Richard S.ORCID iD for Page, Richard S.
Journal name Journal of Orthopaedic Research
Volume number 38
Issue number 10
Start page 2280
End page 2289
Total pages 10
Publisher John Wiley & Sons
Place of publication Hoboken. N.J.
Publication date 2020-10-01
ISSN 0736-0266
Keyword(s) Science & Technology
Life Sciences & Biomedicine
adhesive capsulitis
frozen shoulder
next-generation sequencing
shoulder instability
Summary Adhesive capsulitis (AC) is a disabling condition of the shoulder joint affecting 2 to 5% of the general population. Our understanding of the molecular mechanisms is limited. The present study aimed to determine potential biomarkers of AC through transcriptomic analysis. This multi‐centre study investigated patients undergoing arthroscopic capsulotomy surgery for resistant AC compared to those undergoing arthroscopic stabilization surgery for glenohumeral instability (control). Tissue samples were harvested from the anterior capsule during surgery. Total RNA was extracted and RNA‐sequencing‐based transcriptomics were performed. A number of genes deemed differentially expressed in RNA‐sequencing analysis were validated using real‐time reverse transcription polymerase chain reaction (RT‐PCR). Baseline characteristics of the AC group (n = 22) were; mean age 52.7 years (SD: 10.2), 73% female, and Oxford Shoulder Score 19.6 (SD: 8.0), compared with the control group (n = 26), average age 23.9 years (SD: 5.2), 15% female, and Oxford Shoulder Score 39.0 (SD: 7.4). Transcriptomic analysis with false discovery rate correction and log2 fold change cut‐off of ±1.5 revealed 545 differentially expressed genes in AC relative to control. Bioinformatic analyses were carried out to identify biological processes and pathways enriched in this dataset. Real‐time RT‐PCR using two different normalization processes confirmed increased expression of matrix metallopeptidase 13 (MMP13) and platelet‐derived growth factor subunit B (PDGFB), in patients with AC, while tumor necrosis factor α (TNFA) expression was reduced. These findings provide a comprehensive assessment of transcriptional changes associated with AC that give insights into the aetiology of the disease and provides a resource for molecular targets to better diagnose and treat this condition.
Language eng
DOI 10.1002/jor.24686
Indigenous content off
Field of Research 0903 Biomedical Engineering
1103 Clinical Sciences
1106 Human Movement and Sports Sciences
HERDC Research category C1 Refereed article in a scholarly journal
Copyright notice ©2020, Orthopaedic Research Society
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Document type: Journal Article
Collections: Faculty of Health
School of Medicine
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