Literature DB >> 18512818

Association of a nonsynonymous single-nucleotide polymorphism of matrix metalloproteinase 9 with giant cell arteritis.

A Rodríguez-Pla1, T H Beaty, P J Savino, R C Eagle, P Seo, M J Soloski.   

Abstract

OBJECTIVE: Giant cell arteritis (GCA) is the most common type of primary vasculitis. Matrix metalloproteinase 9 (MMP-9) is present in arterial lesions of GCA and may be involved in its pathogenesis. We investigated whether certain genotypes of 4 single-nucleotide polymorphisms (SNPs) of MMP-9 are overrepresented in patients with histologically confirmed GCA.
METHODS: Four SNPs of MMP-9, rs3918242 in the promoter region and 3 nonsynonymous coding SNPs (rs3918252, rs17576, and rs2250889) were genotyped by polymerase chain reaction-restriction fragment length polymorphism analysis in 58 white patients for whom there was a clinical suspicion of GCA. Thirty of these patients had histologically confirmed GCA (group 1), and 28 patients had negative results of a temporal artery biopsy for GCA (group 2). Estimates of the genotype distributions of each of these SNPs in a white population were determined using publicly available genotype data for a panel of 23 individuals (group 3).
RESULTS: Although 1 SNP was monomorphic in all 3 groups, we observed statistically significant differences in the genotype distributions for rs2250889 between group 1 and group 2 (P = 0.005) and between group 1 and group 3 (P = 0.009), but not between groups 2 and 3 (P = 0.965).
CONCLUSION: These data derived from a sample of patients with GCA suggest that the G allele of MMP-9 polymorphism rs2250889 is overrepresented in patients with histologically confirmed GCA. Clearly, larger sample sizes will be necessary to confirm this suggestive association and better characterize a possible linkage disequilibrium structure among polymorphisms.

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Year:  2008        PMID: 18512818     DOI: 10.1002/art.23457

Source DB:  PubMed          Journal:  Arthritis Rheum        ISSN: 0004-3591


  7 in total

1.  MMP-12, a novel matrix metalloproteinase associated with giant cell arteritis.

Authors:  Alicia Rodríguez-Pla; Francisco Martínez-Murillo; Peter J Savino; Ralph C Eagle; Philip Seo; Mark J Soloski
Journal:  Rheumatology (Oxford)       Date:  2009-09-06       Impact factor: 7.580

2.  Cancer preceding giant cell arteritis: a case-control study.

Authors:  Tanaz A Kermani; Valentin S Schäfer; Cynthia S Crowson; Gene G Hunder; Steven R Ytterberg; Eric L Matteson; Sherine E Gabriel; Kenneth J Warrington
Journal:  Arthritis Rheum       Date:  2010-06

3.  Association between IL-18 gene polymorphisms and biopsy-proven giant cell arteritis.

Authors:  Rogelio J Palomino-Morales; Tomas R Vazquez-Rodriguez; Orlando Torres; Inmaculada C Morado; Santos Castañeda; Jose A Miranda-Filloy; Jose L Callejas-Rubio; Benjamin Fernandez-Gutierrez; Miguel A Gonzalez-Gay; Javier Martin
Journal:  Arthritis Res Ther       Date:  2010-03-23       Impact factor: 5.156

4.  Matrix metalloproteinase-9 genetic variation and primary angle closure glaucoma in a Caucasian population.

Authors:  Mona S Awadalla; Kathryn P Burdon; Abraham Kuot; Alex W Hewitt; Jamie E Craig
Journal:  Mol Vis       Date:  2011-05-27       Impact factor: 2.367

5.  The interaction effects between TLR4 and MMP9 gene polymorphisms contribute to aortic aneurysm risk in a Chinese Han population.

Authors:  Tan Li; Xu Zhang; Liang Sang; Xin-Tong Li; Hai-Yang Sun; Jun Yang; Yuan Yuan
Journal:  BMC Cardiovasc Disord       Date:  2019-03-29       Impact factor: 2.298

6.  Association of the single nucleotide polymorphisms in the extracellular matrix metalloprotease-9 gene with PACG in southern China.

Authors:  Yanhong Cong; Xiangming Guo; Xing Liu; Dan Cao; Xiaoyun Jia; Xueshan Xiao; Shiqiang Li; Shaohua Fang; Qingjiong Zhang
Journal:  Mol Vis       Date:  2009-07-24       Impact factor: 2.367

7.  Role of matrix metalloproteinase-9 gene polymorphisms in glaucoma: A hospital-based study in Chinese patients.

Authors:  Fengqiong Zhao; Zongshan Fan; Xuewen Huang
Journal:  J Clin Lab Anal       Date:  2019-11-12       Impact factor: 2.352

  7 in total

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