Matrix metalloproteinase-3 gene polymorphisms are associated with ischemic stroke

• Published in: Journal of interferon & cytokine research Vol. 32; no. 2; pp. 81 - 86
• Main Authors: Kim, Su Kang, Kang, Sung Wook, Kim, Dong Hwan, Yun, Dong Hwan, Chung, Joo-Ho, Ban, Ju Yeon
• Format: Journal Article
• Language: English
• Published: United States Mary Ann Liebert, Inc 01.02.2012
• Subjects: Adult; Aged; Asian Continental Ancestry Group; Brain Ischemia - enzymology; Brain Ischemia - genetics; Cerebral Hemorrhage - enzymology; Cerebral Hemorrhage - genetics; Data processing; Female; Gene polymorphism; Haplotypes; Hemorrhage; Humans; Interferon; Ischemia; Male; Matrix metalloproteinase; Matrix Metalloproteinase 3 - genetics; Matrix Metalloproteinase 3 - metabolism; Middle Aged; Polymorphism, Single Nucleotide; Regression analysis; Republic of Korea; Sex Characteristics; Sex Factors; Single-nucleotide polymorphism; Stroke; Stroke - enzymology; Stroke - genetics; Stromelysin 1; Republic of Korea
• DOI: 10.1089/jir.2011.0022
• ISSN: 1079-9907

Stroke is a heterogeneous disease caused by different pathogenic mechanisms. Several candidate genes for stroke have been proposed, but few have been replicated. Matrix metalloproteinases (MMPs) are expressed following stroke. We investigated the association of single nucleotide polymorphisms (SNPs) of the MMP3 gene with stroke in the Korean population. This study included 186 stroke patients [116 ischemic stroke (IS) and 70 intracerebral hemorrhage (ICH)] and 668 age-matched control subjects (267 for IS and 401 for ICH). Three SNPs [rs520540 (Ala362Ala), rs602128 (Asp96Asp), and rs679620 (Lys45Glu)] in the coding region of MMP3 were selected and genotyped by direct sequencing. HelixTree, SNPAnalyzer, SNPStats, and Haploview version 4.2 were used to analyze genetic data. Multiple logistic regression models (codominant, dominant, and recessive models) were conducted to evaluate odds ratio, 95% confidence interval, and P value. Three SNPs in the MMP3 gene were significantly associated with IS (P<0.05). The genotype distribution of 3 SNPs differed between the IS and control subjects. However, there was no association of the SNPs between the ICH and control. In analysis of gender, 3 SNPs were also associated with IS in female group (P<0.05). These SNPs remained significantly associated with IS after the Bonferroni correction for multiple testing (P(c)<0.05). Haplotype analysis revealed that no haplotypes were associated with IS or ICH. Overall, the results of our study demonstrate an association of the MMP3 gene with development of IS, and no association of MMP3 with ICH.