Shorter, Emily, Avelar, Roberto, Zachariou, Margarita, Spyrou, George M, Raina, Priyanka, Smagul, Aibek, Ashraf Kharaz, Yalda 
ORCID: 0000-0003-4925-0206, Peffers, Mandy ORCID: 0000-0001-6979-0440, Goljanek-Whysall, Kasia ORCID: 0000-0001-8166-8800, de Magalhães, João Pedro et al (show 1 more authors)
(2022)
Identifying Novel Osteoarthritis-Associated Genes in Human Cartilage Using a Systematic Meta-Analysis and a Multi-Source Integrated Network
International Journal of Molecular Sciences, 23 (8).
p. 4395.
ISSN 1661-6596, 1422-0067
Abstract
Osteoarthritis, the most common joint disorder, is characterised by deterioration of the articular cartilage. Many studies have identified potential therapeutic targets, yet no effective treatment has been determined. The aim of this study was to identify and rank osteoarthritis-associated genes and micro-RNAs to prioritise those most integral to the disease. A systematic meta-analysis of differentially expressed mRNA and micro-RNAs in human osteoarthritic cartilage was conducted. Ingenuity pathway analysis identified cellular senescence as an enriched pathway, confirmed by a significant overlap (p < 0.01) with cellular senescence drivers (CellAge Database). A co-expression network was built using genes from the meta-analysis as seed nodes and combined with micro-RNA targets and SNP datasets to construct a multi-source information network. This accumulated and connected 1689 genes which were ranked based on node and edge aggregated scores. These bioinformatic analyses were confirmed at the protein level by mass spectrometry of the different zones of human osteoarthritic cartilage (superficial, middle, and deep) compared to normal controls. This analysis, and subsequent experimental confirmation, revealed five novel osteoarthritis-associated proteins (PPIB, ASS1, LHDB, TPI1, and ARPC4-TTLL3). Focusing future studies on these novel targets may lead to new therapies for osteoarthritis.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | microRNA, osteoarthritis, cartilage, meta-analysis, mRNA, novel, joint, dysregulation, proteomics |
| Divisions: | Faculty of Health & Life Sciences Faculty of Health & Life Sciences > Inst. Life Courses & Medical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 20 Apr 2022 10:17 |
| Last Modified: | 16 Jun 2026 09:46 |
| DOI: | 10.3390/ijms23084395 |
| Open Access URL: | https://www.mdpi.com/1422-0067/23/8/4395 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3153438 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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