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在骨关节炎中识别和验证纤维细胞相关基因,基于高维权基因同表达网络分析

Juan Xiao¹, Wei Lei¹, Hao Zhang¹

¹Department of Orthopedics, Xiangyang Hospital of Traditional Chinese Medicine, Hubei University of Chinese Medicine, Xiangyang, 441000, China, hbtcm.edu.cn.

Journal of immunology research

|October 1, 2025

概括

这项研究确定了纤维细胞中的七个关键基因,这些基因显示出诊断骨关节炎 (OA) 的潜力. 这些纤维细胞特异性基因为OA分子类型和诊断提供了新的方向.

科学领域:

基因组学就是基因组学.
分子生物学分子生物学
计算生物学计算生物学

背景情况:

骨关节炎 (OA) 是一种退行性关节疾病,其特征是关节软骨的破坏和炎症.
纤维细胞在OA中观察到的促炎反应中发挥着重要作用.

研究的目的:

使用单细胞转录基因数据选与纤维细胞相关的关键基因.
探索这些已识别的基因在骨关节炎中的诊断潜力.

主要方法:

利用了来自OA患者的RNA测序 (RNA-seq) 和单细胞RNA-seq (scRNA-seq) 数据.
用CellChat进行细胞间通信分析和hdWGCNA用于基因模块识别.
使用生物信息学工具选差异表达基因 (DEG) 和识别中心基因,包括用于诊断建模的多重ROC和rms包.

主要成果:

确定了8种细胞群,其中纤维细胞是最丰富的.
发现CD99-CD99作为介质细胞/T细胞和纤维细胞之间的关键连接体-受体对.
鉴定了七个中央基因 (APOD,BGN,MXRA5,THY1,C1QTNF3,DPT,OGN) 在OA纤维细胞中高度表达,形成了AUC> 0.8.8的诊断模型.

结论:

系统地选和验证OA诊断的关键纤维细胞特异基因,使用单细胞数据和hdWGCNA.
为分子类型和骨关节炎诊断提供了新的理论基础和研究方向.
鉴定到的七个基因显示了OA的显著诊断潜力.

关键词:

不同表达基因的基因特性基因是特征基因的组成部分.纤维细胞的细胞.hdWGCNANA 在线观看机器学习是机器学习.骨关节炎是一种关节炎.

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