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Transcriptomic analysis of adhesive capsulitis of the shoulder
Author(s) -
Kamal Nima,
McGee Sean L.,
Eng Kevin,
Brown Graeme,
Beattie Sally,
Collier Fiona,
Gill Stephen,
Page Richard S.
Publication year - 2020
Publication title -
journal of orthopaedic research®
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.041
H-Index - 155
eISSN - 1554-527X
pISSN - 0736-0266
DOI - 10.1002/jor.24686
Subject(s) - capsulitis , transcriptome , medicine , pdgfb , gene expression , reverse transcription polymerase chain reaction , bioinformatics , biology , gene , surgery , receptor , genetics , growth factor , range of motion , platelet derived growth factor receptor
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 log 2 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.