CCN2 Facilitates IL-17 Production and Osteoclastogenesis in Human Osteoarthritis Synovial Fibroblasts by Inhibiting miR-655 Expression.
Shan-Chi LiuHung-Lun HsiehChun-Hao TsaiYi-Chin FongChih-Yuan KoHsi-Chin WuSunny Li-Yun ChangChin-Jung HsuChih-Hsin TangPublished in: Journal of bone and mineral research : the official journal of the American Society for Bone and Mineral Research (2022)
Osteoarthritis (OA) is associated with extensive upregulation of osteoclastogenesis and subsequent bone breakdown. The CCN family protein connective tissue growth factor (CCN2, also called CCN2) enhances inflammatory cytokine production in OA disease. The cytokine interleukin (IL)-17 is known to induce osteoclastogenesis and bone erosion in arthritic disease. Our retrieval of data from the Gene Expression Omnibus (GEO) data set and clinical tissues exhibited higher CCN2 and IL-17 expression in OA synovial sample than in normal healthy samples. We observed the same phenomenon in synovial tissue from rats with anterior cruciate ligament transaction (ACLT)-elicited OA compared with synovial tissue from control healthy rats. We also found that CCN2 facilitated increases in IL-17 synthesis in human OA synovial fibroblasts (OASFs) and promoted osteoclast formation. CCN2 affected IL-17 production by reducing miR-655 expression through the ILK and Syk signaling cascades. Our findings improve our understanding about the effect of CCN2 in OA pathogenesis and, in particular, IL-17 production and osteoclastogenesis, which may help with the design of more effective OA treatments. © 2022 American Society for Bone and Mineral Research (ASBMR).
Keyphrases
- knee osteoarthritis
- bone loss
- poor prognosis
- gene expression
- growth factor
- long non coding rna
- cell proliferation
- endothelial cells
- rheumatoid arthritis
- bone mineral density
- lps induced
- binding protein
- dna methylation
- oxidative stress
- machine learning
- induced pluripotent stem cells
- inflammatory response
- bone regeneration
- anterior cruciate ligament
- postmenopausal women
- deep learning
- data analysis