Literature DB >> 22727497

Sex-specific effect of matrix metalloproteinase-9 functional promoter polymorphism on carotid artery stiffness.

Ruey-Tay Lin1, Chun-Hung Chen, Pei-Chien Tsai, Bo-Lin Ho, Suh-Hang Hank Juo, Hsiu-Fen Lin.   

Abstract

BACKGROUND AND
PURPOSE: Large artery stiffness is considered to be a marker for cardiovascular disease. Serum matrix metalloproteinase-9 (MMP-9) level has been found to correlate with arterial stiffness and predict cardiovascular risk. This study was aimed to investigate the relationship between the MMP-9 genotypes and artery stiffness, and to examine whether the genetic effect is sex specific.
METHODS: Three carotid stiffness modalities were assessed in 1218 (704 females) stroke- and myocardial infarction-free volunteers aged 21-86 years old. The genotypes of MMP-9 promoter polymorphism (-1562C/T) were determined using the polymerase chain reaction-restriction fragment length polymorphism method. Analysis was conducted to test for the overall and sex specific effect using multivariate regression model.
RESULTS: T allele carriers (CT and TT) had stiffer arteries than CC homozygotes after adjusting for age and sex (p = 0.013, 0.028, and 0.017 for Ep, β, and PWV, respectively). Further sex-stratified analysis showed that the significant association only existed in women. Women with the T allele had significantly stiffer arteries than CC homozygotes after adjusting for age (p = 0.003, 0.018, and 0.006 for Ep, β, and PWV, respectively), and this association remained significant after adjusting for known covariates. When menopausal status was further considered, all three carotid stiffness modalities were significantly different between T allele carriers and CC homozygotes in menopausal but not in pre-menopausal women.
CONCLUSIONS: This study indicates that individuals carrying the -1562T allele are predisposed to stiffer arteries, especially among menopausal women. Women with the T allele should be considered at high risk for cardiovascular disease.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22727497     DOI: 10.1016/j.atherosclerosis.2012.05.031

Source DB:  PubMed          Journal:  Atherosclerosis        ISSN: 0021-9150            Impact factor:   5.162


  7 in total

Review 1.  Genetic determinants of arterial stiffness.

Authors:  Jeongok G Logan; Mary B Engler; Hyungsuk Kim
Journal:  J Cardiovasc Transl Res       Date:  2014-12-04       Impact factor: 4.132

2.  Association between matrix metalloproteinase family gene polymorphisms and ischemic stroke: a meta-analysis.

Authors:  Dan Wen; Xin Du; Shao-Ping Nie; Jian-Zeng Dong; Chang-Sheng Ma
Journal:  Mol Neurobiol       Date:  2014-04-26       Impact factor: 5.590

3.  Cardiovascular Risk and Matrix Metalloproteinase Polymorphisms: Not Just a Simple Substitution.

Authors:  Francis G Spinale; Ashley A Sapp
Journal:  Circ Cardiovasc Genet       Date:  2017-12

Review 4.  Caught between a "Rho" and a hard place: are CCN1/CYR61 and CCN2/CTGF the arbiters of microvascular stiffness?

Authors:  Brahim Chaqour
Journal:  J Cell Commun Signal       Date:  2019-08-02       Impact factor: 5.782

5.  Matrix metalloproteinase-9 gene polymorphisms are associated with ischemic stroke severity and early neurologic deterioration in patients with atrial fibrillation.

Authors:  Xingyang Yi; Qiang Zhou; Guo Sui; Daofeng Fan; Yongyin Zhang; Minjie Shao; Zhao Han; Hua Luo; Jing Lin; Ju Zhou
Journal:  Brain Behav       Date:  2019-04-22       Impact factor: 2.708

6.  Variants in matrix metalloproteinase-9 gene are associated with hemorrhagic transformation in acute ischemic stroke patients with atherothrombosis, small artery disease, and cardioembolic stroke.

Authors:  Xingyang Yi; Guo Sui; Qiang Zhou; Chun Wang; Jing Lin; Zhenxiao Chai; Ju Zhou
Journal:  Brain Behav       Date:  2019-05-10       Impact factor: 2.708

Review 7.  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

  7 in total

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