A potential relationship between MMP-9 rs2250889 and ischemic stroke susceptibility

Frontiers in Neurology

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.