| Literature DB >> 28442515 |
Binod Kumar Yadav1, Renu Yadav2, Hyuk Chang3,4, Kangho Choi5,4, Joon-Tae Kim5,4, Man Seok Park5,4, Hyun Goo Kang6,4, Insung Choo6,4, Seong Hwan Ahn6,4, Dong Seok Oh7,4, Yeon Soo Ha8,4, Ihngyu Kim9,4, Man-Wook Seo10, Byoung-Soo Shin11,12,4.
Abstract
Extracranial internal carotid artery (ECICA) stenosis is a modifiable risk factor of ischemic stroke. VEGF plays a crucial role in the maintenance of endothelial integrity and physiological function. This study was designed to assess the correlations of VEGF polymorphisms with ECICA stenosis in ischemic stroke and to explore the relationships between these polymorphisms and different biochemical parameters. This study included a total of 650 ischemic stroke patients, 232 with ECICA stenosis while 418 had no ECICA stenosis as assessed by magnetic resonance angiography. Three SNPs in the VEGF gene, rs699947, rs1570360, and rs3025039, were assessed by real-time PCR coupled with melting curve analysis. Serum samples were analyzed for biochemical parameters in an automated clinical chemistry analyzer in the Laboratory Medicine Department. The CA and CA+AA (A allele bearing) genotype frequencies of the rs699947 polymorphism (AOR=1.46 and 1.47, respectively) and the GA genotype frequency of the rs1570360 polymorphism (AOR=7.33) showed a significant association with ECICA stenosis. However, the haplotype frequencies of C-A-A, T-A-C, and T-A-A (rs302503-rs1570360-rs699947) were significantly different between patients who experienced stroke with and stroke without ECICA stenosis. We found that the total homocysteine (tHcy) levels of stroke patients with ECICA stenosis with rs1570360 and rs699947 SNPs were significantly different compared to the wild-type reference genotype. In conclusion, VEGF rs699947 and rs3025039 polymorphisms were associated with increased risk of stroke, while rs1570360 and rs699947 were associated with stroke and ECICA stenosis.Entities:
Keywords: VEGF; internal carotid artery stenosis; single nucleotide polymorphism; stroke
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Year: 2017 PMID: 28442515
Source DB: PubMed Journal: Ann Clin Lab Sci ISSN: 0091-7370 Impact factor: 1.256