Polymorphisms in Genes Related to Inflammation and Endothelial Function Are Associated with Ischemic Stroke and Other Vascular Events in Populations at High Risk of Stroke

Overview

Journal J Cent Nerv Syst Dis

Publisher Sage Publications

Date 2025 Jan 7

PMID 39763503

Authors

Hong Chen

Hua Luo

Ju Zhou

Ming Yu

Ting Qing

Yanfen Wang

Minjie Shao

Wei Wei

Xingyang Yi

Affiliations

Soon will be listed here.

Abstract

Background: The association of genetic single-nucleotide polymorphisms (SNPs) related to endothelial function, inflammation, and their outcomes remains poorly studied.

Objectives: To evaluate the occurrence of ischemic stroke (IS) and other vascular events, and relationships between 19 SNPs in genes associated with endothelial function and inflammation with outcomes in a population at high risk of stroke.

Design: A prospective cohort study and multi-center community-based sectional survey.

Methods: As a part of the China National Stroke Screening Survey program, the investigation was carried out in southern China from May 2015 to January 2020. Participants from 8 randomly selected. In people who were determined to be at high risk of stroke, 19 SNPs were examined. Over an average follow-up period of 4.7 years, the results of these subjects were monitored using a longitudinal method. A new IS was the primary outcome assessed, and a combination of new vascular events was the secondary outcome.

Results: In total, 2893 participants were classified as high-risk for stroke, and 2698 were monitored for 4.7 years, resulting in 192 participants (7.1%) experiencing various outcomes. Out of these, 118 individuals (4.4%) had a novel IS, 24 (0.9%) suffered a hemorrhagic stroke (HS), 53 (2.0%) developed myocardial infarction (MI), and 33 (1.2%) passed away. Significant variations have been found in the genotype distributions of rs752998, rs4845625, and rs3093662 among participants with adverse outcomes compared to those without. Generalized multifactor dimensionality reduction (GMDR) analysis identified a substantial SNP-SNP interaction involving rs932650, rs1927911, and rs4845625 ( = .004). The high-risk genotypes of these 3 SNPs were linked to an increased risk of IS (OR = 2.186, 95% CI: 1.247-5.426, < .001) and total vascular events (OR = 2.367, 95% CI: 1.433-5.798, < .001), according to multivariate logistic regression adjusted for covariates.

Conclusion: The incidence of IS and other vascular events was significantly greater among participants who were categorized as being at high risk for stroke. The interacting high-risk genotypes of rs932650, rs1927911 and rs4845625 were independently associated with an increased risk of new IS and other vascular events.

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