Wu Zhen, Shou Lu, Wang Jian, Huang Tao, Xu Xinwei
Departmemt of Orthopaedics, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Departmemt of Pneumology, Tongde Hospital of Zhejiang Province, Hangzhou, China.
Front Cell Dev Biol. 2020 Nov 6;8:602024. doi: 10.3389/fcell.2020.602024. eCollection 2020.
Osteoarthritis is one of the most prevalent chronic joint diseases for middle-aged and elderly people. But in recent years, the number of young people suffering from the disease increases quickly. It is known that osteoarthritis is a common degenerative disease caused by the combination and interaction of many factors such as natural and environmental factors. DNA methylations reflect the effects of environmental factors. Several researches on DNA methylation at specific genes in OA cartilage indicated the great potential roles of DNA methylation in OA. To systematically investigate the methylation pattern in knee and hip osteoarthritis, we analyzed the methylation profiles in cartilage of 16 OA hip samples, 19 control hip samples and 62 OA knee samples. 12 discriminative methylation sites were identified using advanced minimal Redundancy Maximal Relevance (mRMR) and Incremental Feature Selection (IFS) methods. The SVM classifier of these 12 methylation sites from genes like MEIS1, GABRG3, RXRA, and EN1, can perfectly classify the OA hip samples, control hip samples and OA knee samples evaluated with LOOCV (Leave-One Out-Cross Validation). These 12 methylation sites can not only serve as biomarker, but also provide underlying mechanism of OA.
骨关节炎是中老年人中最常见的慢性关节疾病之一。但近年来,患这种疾病的年轻人数量迅速增加。众所周知,骨关节炎是一种由自然和环境因素等多种因素共同作用和相互影响引起的常见退行性疾病。DNA甲基化反映了环境因素的影响。几项关于骨关节炎软骨中特定基因的DNA甲基化研究表明,DNA甲基化在骨关节炎中具有巨大的潜在作用。为了系统地研究膝关节和髋关节骨关节炎的甲基化模式,我们分析了16个骨关节炎髋关节样本、19个对照髋关节样本和62个骨关节炎膝关节样本软骨中的甲基化谱。使用先进的最小冗余最大相关性(mRMR)和增量特征选择(IFS)方法确定了12个有区别的甲基化位点。来自MEIS1、GABRG3、RXRA和EN1等基因的这12个甲基化位点的支持向量机分类器,能够完美地对使用留一法交叉验证(LOOCV)评估的骨关节炎髋关节样本、对照髋关节样本和骨关节炎膝关节样本进行分类。这12个甲基化位点不仅可以作为生物标志物,还能为骨关节炎提供潜在机制。