Osteoarthritis (OA) is a highly prevalent and disabling disease with an unmet therapeutic need. The characteristic cartilage loss and alteration of other joint structures result from a complex interaction of multiple risk factors, with mechanical overload consistently playing a central role. This overload generates an inflammatory response in the cartilage due to the activation of the innate immune response in chondrocytes, which occurs through various cellular mechanisms. Moreover, risk factors associated with obesity, being overweight, and metabolic syndrome enhance the inflammatory response both locally and systemically. OA chondrocytes, the only cells present in articular cartilage, are therefore inflamed and initiate an anabolic process in an attempt to repair the damaged tissue, which ultimately results in an aberrant and dysfunctional process. Under these circumstances, where the cartilage continues to be subjected to chronic mechanical stress, proposing a treatment that stimulates the chondrocytes’ anabolic response to restore tissue structure does not appear to be a therapeutic target with a high likelihood of success. In fact, anabolic drugs proposed for the treatment of OA have yet to demonstrate efficacy. By contrast, multiple therapeutic strategies focused on pharmacologically managing the inflammatory component, both at the joint and systemic levels, have shown promise. Therefore, prioritizing the control of chronic innate pro-inflammatory pathways presents the most viable and promising therapeutic strategy for the effective management of OA. As research continues, this approach may offer the best opportunity to alleviate the burden of this incapacitating disease. Cite this article:
This study examined the relationship between obesity (OB) and osteoporosis (OP), aiming to identify shared genetic markers and molecular mechanisms to facilitate the development of therapies that target both conditions simultaneously. Using weighted gene co-expression network analysis (WGCNA), we analyzed datasets from the Gene Expression Omnibus (GEO) database to identify co-expressed gene modules in OB and OP. These modules underwent Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment and protein-protein interaction analysis to discover Hub genes. Machine learning refined the gene selection, with further validation using additional datasets. Single-cell analysis emphasized specific cell subpopulations, and enzyme-linked immunosorbent assay (ELISA), protein blotting, and cellular staining were used to investigate key genes.Aims
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We performed a systematic review of the literature to determine the safety and efficacy of bone morphogenetic protein (BMP) compared with bone graft when used specifically for revision spinal fusion surgery secondary to pseudarthrosis. The MEDLINE, EMBASE and Cochrane Library databases were searched using defined search terms. The primary outcome measure was spinal fusion, assessed as success or failure in accordance with radiograph, MRI or CT scan review at 24-month follow-up. The secondary outcome measure was time to fusion.Objectives
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