生物
转录组
细胞生物学
遗传学
共域化
计算生物学
信号转导
骨关节炎
串扰
代谢组学
基因
基因表达
基因表达调控
人类白细胞抗原
CD14型
软骨
基因表达谱
软骨细胞
细胞信号
主要组织相容性复合体
候选基因
生物信息学
代谢物
表型
作者
Yue Zhou,Guohang Shen,Lijing Si,Kaiyong Wang,Yang Chen,Ruoyan Wang,Yupei Dai
摘要
Abstract Iron dysregulation has emerged as a contributor to osteoarthritis (OA), yet the cell‐communication mechanisms connecting iron‐related genetic signals to joint degeneration remain insufficiently defined. Here, we established an integrative computational framework combining transcriptomic screening, machine learning, Mendelian randomization, immune and metabolite mediation analysis, single‐cell transcriptomics, virtual gene perturbation, molecular docking, molecular dynamics simulation, and experimental validation to identify signaling regulators involved in iron metabolism‐associated OA. By intersecting iron metabolism‐related genes, OA differentially expressed genes, and eQTL‐supported genes, we identified 27 shared candidates. Machine learning‐based prioritization and genetic causal inference further highlighted CSF1R as a central regulatory gene. Single‐cell analysis localized CSF1R expression predominantly to macrophages, indicating a macrophage‐centered role in the osteoarthritic microenvironment. Mediation analysis integrating 731 immune‐cell traits and 1400 circulating metabolites identified CD14 + CD16 + monocytes as a significant cellular mediator linking CSF1R activity to OA susceptibility, suggesting that CSF1R may promote disease progression mainly through monocyte–macrophage remodeling rather than isolated metabolic alteration. Genetic colocalization further supported a shared regulatory signal between CSF1R expression and OA risk. Virtual single‐cell perturbation revealed distinct downstream consequences of CSF1R modulation. Simulated CSF1R depletion enhanced antigen processing, major histocompatibility complex class II presentation, and phagosome‐related programs, whereas simulated CSF1R overexpression preferentially activated extracellular matrix organization, integrin signaling, and cartilage development‐associated pathways. Structural analyses identified stable interactions between CSF1R and candidate inhibitory compounds, and inflammatory stimulation of macrophages confirmed increased CSF1R protein expression. Collectively, this study identifies CSF1R as a macrophage‐associated immunometabolic signaling hub linking iron dysregulation to OA. These findings provide a mechanistic basis for targeting CSF1R ‐mediated monocyte–macrophage communication and offer a computational strategy for prioritizing therapeutic targets in degenerative joint disease.
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