Clinical Research Papers:
MMP-3 gene polymorphisms are associated with increased risk of osteoarthritis in Chinese men
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Abstract
Wen Guo1,4,*, Pengcheng Xu6,*, Tianbo Jin2,3, Jihong Wang4, Dongsheng Fan4, Zengtao Hao4, Yuntao Ji4, Shangfei Jing4, Chaoqian Han4, Jieli Du7, Dong Jiang1, Shuzheng Wen4 and Jianzhong Wang5
1 Inner Mongolia Medical University, Hohhot, Inner Mongolia, China
2 National Engineering Research Center for Miniaturized Detection Systems, School of Life Sciences, Northwest University, Xi’an, Shaanxi, China
3 Xi’an Tiangen Precision Medical Institute, Xi’an, Shaanxi, China
4 Department of Hand Surgery, Hebei Province Cangzhou Hospital of Integrated Traditional and Western Medicine, Cangzhou, Hebei, China
5 Department of Trauma, Second Affiliated Hospital, Inner Mongolia Medical University, Hohhot, Inner Mongolia Autonomous Region, China
6 Department of Hand Surgery, Hebei province Cangzhou Hospital of integrated Traditional and Western Medicine, Cangzhou, Hebei, China
7 Cangzhou People’s Hospitial, Cangzhou, Hebei, China
* These authors have contributed equally to this work
Correspondence to:
Shuzheng Wen, email:
Jianzhong Wang, email:
Keywords: association; osteoarthritis; MMP-3; single nucleotide polymorphism
Received: December 8, 2016 Accepted: April 26, 2017 Published: June 15, 2017
Abstract
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 matrix metalloproteinase-3 (MMP-3)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 MMP-3 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, P = 0.038; over-dominant, OR = 2.00, 95% CI: 1.03-3.88, P = 0.037); rs520540 (dominant, OR = 2.03, 95% CI: 1.03-4.01, P = 0.038; over-dominant, OR = 2.00, 95% CI: 1.03-3.88, P = 0.037); rs602128 (dominant, OR = 2.03, 95% CI: 1.03-4.01, P = 0.038; over-dominant, OR = 2.01, 95% CI: 1.03-3.89, P = 0.037); and rs679620 (dominant, OR = 2.03, 95% CI: 1.03-4.01, P = 0.038; over-dominant, OR = 2.04, 95% CI: 1.05-3.96, P = 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.
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