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. Attached Files Name Description MIMEType Size Downloads Title Transcriptomic analysis of adhesive capsulitis of the shoulder Author(s) Kamal, Nima Mcgee, Sean L. orcid.org/0000-0001-6953-106X Eng, Kevin Brown, Graeme Beattie, Sally Collier, Fiona orcid.org/0000-0002-5438-480X Gill, Stephen orcid.org/0000-0001-8722-0572 Page, Richard S. orcid.org/0000-0002-2225-7144 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 1554-527X Keyword(s) Science & Technology Life Sciences & Biomedicine Orthopedics adhesive capsulitis frozen shoulder next-generation sequencing shoulder instability transcriptomics INJECTION 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 Persistent URL http://hdl.handle.net/10536/DRO/DU:30136098 Document type: Journal Article Collections: Faculty of Health School of Medicine Related Links Link Description Connect to published version Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Sat, 11 Apr 2020, 12:43:00 EST Sun, 12 Apr 2020, 05:00:16 EST Wed, 15 Apr 2020, 07:53:29 EST Sat, 02 May 2020, 02:31:12 EST Sat, 02 May 2020, 02:32:09 EST Tue, 24 Nov 2020, 05:02:12 EST Tue, 24 Nov 2020, 12:56:01 EST Tue, 24 Nov 2020, 12:59:51 EST Tue, 24 Nov 2020, 13:08:20 EST Tue, 24 Nov 2020, 13:11:31 EST Filtered Full Citation counts:   Cited 1 times in TR Web of Science Cited 3 times in Scopus Search Google Scholar Access Statistics: 57 Abstract Views, 1 File Downloads  -  Detailed Statistics Created: Sat, 11 Apr 2020, 12:43:00 EST

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