Frontiers in Neurology | |
A potential relationship between MMP-9 rs2250889 and ischemic stroke susceptibility | |
Neurology | |
Hanming Ge1  Ye Tian1  Wu Li2  Jinwei Duan2  Jie Liu2  Xiaojuan Ma2  Wenzhen Shi2  Qi Zhang3  Jiachen Wang3  Xiaobo Zhang3  Yu Zhang3  | |
[1] Department of Neurology, Xi'an Key Laboratory of Cardiovascular and Cerebrovascular Diseases, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China;Medical Research Center, Xi'an Key Laboratory of Cardiovascular and Cerebrovascular Diseases, Xi'an No. 3 Hospital, The Affiliated Hospital of Northwest University, Xi'an, Shaanxi, China;The College of Life Sciences, Northwest University, Xi'an, Shaanxi, China; | |
关键词: MMP-9; SNP; susceptibility; case-control study; ischemic stroke; | |
DOI : 10.3389/fneur.2023.1178642 | |
received in 2023-03-22, accepted in 2023-06-12, 发布年份 2023 | |
来源: Frontiers | |
【 摘 要 】
PurposeIschemic stroke (IS), a serious cerebrovascular disease, greatly affects people's health and life. Genetic factors are indispensable for the occurrence of IS. As a biomarker for IS, the MMP-9 gene is widely involved in the pathophysiological process of IS. This study attempts to find out the relationship between MMP-9 polymorphisms and IS susceptibility.MethodsA total of 700 IS patients and 700 healthy controls were recruited. The single nucleotide polymorphism (SNP) markers of the MMP-9 gene were genotyped by the MassARRAY analyzer. Multifactor dimensionality reduction (MDR) was applied to generate SNP–SNP interaction. Furthermore, the relationship between genetic variations (allele and genotype) of the MMP-9 gene and IS susceptibility was analyzed by calculating odds ratios (ORs) and 95% confidence intervals (CIs).ResultsOur results demonstrated that rs2250889 could significantly increase the susceptibility to IS in the codominant, dominant, overdominant, and log-additive models (p < 0.05). Further stratification analysis showed that compared with the control group, rs2250889 was associated with IS risk in different case groups (age, female, smoking, and non-drinking) (p < 0.05). Based on MDR analysis, rs2250889 was the best model for predicting IS risk (cross-validation consistency: 10/10, OR = 1.56 (1.26–1.94), p < 0.001).ConclusionOur study preliminarily confirmed that SNP rs2250889 was significantly associated with susceptibility to IS.
【 授权许可】
Unknown
Copyright © 2023 Ge, Ma, Wang, Zhang, Zhang, Zhang, Li, Liu, Duan, Shi and Tian.
【 预 览 】
Files | Size | Format | View |
---|---|---|---|
RO202310102703848ZK.pdf | 454KB | download |