相互作用体
蛋白质组
软骨细胞
藤黄蛋白C
软骨
细胞生物学
骨关节炎
化学
蛋白质组学
软骨寡聚基质蛋白
生物
生物信息学
细胞外基质
计算生物学
医学
病理
遗传学
基因
解剖
替代医学
作者
Aspasia Destouni,Konstantinos C. Tsolis,Anastassios Economou,Ioanna V. Papathanasiou,Charalampos Balis,Evanthia Mourmoura,Aspasia Tsezou
标识
DOI:10.1080/14789450.2021.1962299
摘要
Background Knee osteoarthritis (OA) is one of the most common structural OA disorders globally. Incomplete understanding of the fundamental biological aspects of osteoarthritis underlies the current lack of effective treatment or disease modifying drugs.Research Design and Methods We implemented a systems approach by making use of the statistical network concepts in Weighted Gene Co-expression Analysis to reconstruct the organization of the core proteome network in chondrocytes obtained from OA patients and healthy individuals. Protein modules reflect groups of tightly co-ordinated changes in protein abundance across healthy and OA chondrocytes.Results The unbiased systems analysis identified extracellular matrix (ECM) mechanosensing and glycolysis as two modules that are most highly correlated with ΟΑ. The ECM module was enriched in the OA genetic risk factors tenascin-C (TNC) and collagen 11A1 (COL11A1), as well as in cartilage oligomeric matrix protein (COMP), a biomarker associated with cartilage integrity. Mapping proteins that are unique to OA or healthy chondrocytes onto the core interactome, which connects microenvironment sensing and regulation of glycolysis, identified differences in metabolic and anti-inflammatory adaptation.Conclusion The interconnection between cartilage ECM remodeling and metabolism is indicative of the dynamic chondrocyte states and their significance in osteoarthritis.
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