Literature DB >> 18560213

Single-nucleotide polymorphisms of MMP-2 gene in stroke subtypes.

Marc Fatar1, Mark Stroick, Michael Steffens, Eva Senn, Bjoern Reuter, Simone Bukow, Martin Griebe, Angelika Alonso, Peter Lichtner, Peter Bugert, Thomas Meitinger, Thomas F Wienker, Michael G Hennerici.   

Abstract

BACKGROUND: Matrix metalloproteinases (MMP) are expressed after ischemic stroke. These proteases are responsible for a higher incidence of hemorrhages, are correlated to size of infarction and influence the effects of recombinant tissue plasminogen activator treatment. We therefore evaluated single nucleotide polymorphisms (SNP) of MMP-2 in different subtypes of stroke patients in an association study using a case-control design.
METHODS: 197 stroke patients were divided according to modified TOAST criteria (small vessel disease, large vessel disease, hemorrhagic stroke and asymptomatic carotid artery stenosis) and compared to 143 controls. Clinical data like age, sex, risk factors and diagnostic results including MRI or cranial CT scans and ultrasound evaluations of intra- and extracranial arteries were obtained. Genotypes of MMP-2 (12 SNP) were compared to controls and DNA samples were analyzed by matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) analysis. Logistic regression analysis was performed for small vessel disease to test for interactions between markers and defined clinical risk factors. Additionally, MMP-2 serum levels obtained in the first 24 h after stroke were measured.
RESULTS: From the MMP-2 gene, 5 markers (rs1030868, rs2241145, rs2287074, rs2287076, rs7201) showed a significant association with small vessel infarcts (p < 0.05) and rs7201:g.C was identified as an independent risk factor by multivariable logistic regression analysis. MMP-2 protein levels were significantly lower in this group (174 +/- 48 ng/dl) versus controls (214 +/- 56 ng/dl). For other stroke subtypes, no significant association with MMP-2 SNP could be found.
CONCLUSION: Our study demonstrates an association of the MMP-2 gene with the development of lacunar stroke, and no association of MMP-2 with other stroke subtypes. (c) 2008 S. Karger AG, Basel.

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Year:  2008        PMID: 18560213     DOI: 10.1159/000139657

Source DB:  PubMed          Journal:  Cerebrovasc Dis        ISSN: 1015-9770            Impact factor:   2.762


  18 in total

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3.  Correlations between MMP-2/MMP-9 promoter polymorphisms and ischemic stroke.

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4.  Association of oxysterol binding protein-related protein 9 polymorphism with cerebral infarction in Hunan Han population.

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5.  Polymorphisms associated with both noncardioembolic stroke and coronary heart disease: vienna stroke registry.

Authors:  May M Luke; Wolfgang Lalouschek; Charles M Rowland; Joseph J Catanese; Joel I Bolonick; Nam D Bui; Stefan Greisenegger; Georg Endler; James J Devlin; Christine Mannhalter
Journal:  Cerebrovasc Dis       Date:  2009-09-12       Impact factor: 2.762

6.  Matrix metalloproteinase 10 gene polymorphism and atherothrombotic cerebral infarction risk in a Han Chinese population.

Authors:  Feng Zhu; Xiao-Ping Jin; Min Zhu; Ling-Ling Zhang; Feng Wang; Wan-Fen Wang; Xiao-Fei Hu; Wei-Ling Li; Cai Li; Zhou Zheng
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7.  Combination of endothelial progenitor cells and BB-94 significantly alleviates brain damage in a mouse model of diabetic ischemic stroke.

Authors:  Daixuan Zhou; Zhi Huang; Xiaoxi Zhu; Tao Hong; Yuanli Zhao
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8.  Angiogenesis in old-aged subjects after ischemic stroke: a cautionary note for investigators.

Authors:  Eugen B Petcu; Robert A Smith; Rodica I Miroiu; Maria M Opris
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9.  Association of MMP-2 gene haplotypes with thoracic aortic dissection in chinese han population.

Authors:  Ou Liu; Jiachen Li; Yi Xin; Yanwen Qin; Haiyang Li; Ming Gong; Yuyong Liu; Xiaolong Wang; Jianrong Li; Hongjia Zhang
Journal:  BMC Cardiovasc Disord       Date:  2016-01-14       Impact factor: 2.298

Review 10.  The Role of Matrix Metalloproteinase Polymorphisms in Ischemic Stroke.

Authors:  Jason J Chang; Ansley Stanfill; Tayebeh Pourmotabbed
Journal:  Int J Mol Sci       Date:  2016-08-12       Impact factor: 5.923

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