Guo Wen, Xu Pengcheng, Jin Tianbo, Wang Jihong, Fan Dongsheng, Hao Zengtao, Ji Yuntao, Jing Shangfei, Han Chaoqian, Du Jieli, Jiang Dong, Wen Shuzheng, Wang Jianzhong
Inner Mongolia Medical University, Hohhot, Inner Mongolia, China.
Department of Hand Surgery, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, Hebei, China.
Oncotarget. 2017 Jun 15;8(45):79491-79497. doi: 10.18632/oncotarget.18493. eCollection 2017 Oct 3.
Osteoarthritis (OA) is the most common late-onset degenerative joint disease., It is characterized by progressive degradation of articular cartilage. We investigated the association between OA occurrence and single nucleotide polymorphisms (SNPs) in the () gene involved in the breakdown of extra-cellular matrix proteins. The study included 100 male OA patients and 197 healthy men from the north area of China. Eight SNPs were genotyped. Odds ratios (ORs) with 95% confidence intervals (95%CIs) and multivariate logistic regression analysis were used to assess the association. Multivariate logistic regression analysis was used to identify SNPs that correlated with OA susceptibility. We found that rs639752 (dominant, OR = 2.03, 95% CI: 1.03-4.01, = 0.038; over-dominant, OR = 2.00, 95% CI: 1.03-3.88, = 0.037); rs520540 (dominant, OR = 2.03, 95% CI: 1.03-4.01, = 0.038; over-dominant, OR = 2.00, 95% CI: 1.03-3.88, = 0.037); rs602128 (dominant, OR = 2.03, 95% CI: 1.03-4.01, = 0.038; over-dominant, OR = 2.01, 95% CI: 1.03-3.89, = 0.037); and rs679620 (dominant, OR = 2.03, 95% CI: 1.03-4.01, = 0.038; over-dominant, OR = 2.04, 95% CI: 1.05-3.96, = 0.033) were associated with the increased risk of OA. Our results suggest that these SNPs may contribute to OA development, and could serve as molecular markers of OA susceptibility.
骨关节炎(OA)是最常见的迟发性退行性关节疾病。它的特征是关节软骨进行性退化。我们研究了OA发生与参与细胞外基质蛋白分解的()基因中的单核苷酸多态性(SNP)之间的关联。该研究纳入了100名来自中国北方地区的男性OA患者和197名健康男性。对8个SNP进行了基因分型。使用比值比(OR)及其95%置信区间(95%CI)和多因素逻辑回归分析来评估这种关联。采用多因素逻辑回归分析来确定与OA易感性相关的SNP。我们发现,rs639752(显性模型,OR = 2.03,95%CI:1.03 - 4.01,P = 0.038;超显性模型,OR = 2.00,95%CI:1.03 - 3.88,P = 0.037);rs520540(显性模型,OR = 2.03,95%CI:1.03 - 4.01,P = 0.038;超显性模型,OR = 2.00,95%CI:1.03 - 3.88,P = 0.037);rs602128(显性模型,OR = 2.03,95%CI:1.03 - 4.01,P = 0.038;超显性模型,OR = 2.01,95%CI:1.03 - 3.89,P = 0.037);以及rs679620(显性模型,OR = 2.03,95%CI:1.03 - 4.01,P = 0.038;超显性模型,OR = 2.04,95%CI:1.05 - 3.96,P = 0.033)与OA风险增加相关。我们的结果表明,这些SNP可能促成OA的发展,并可作为OA易感性的分子标志物。