Association between MicroRNA-4669 Polymorphism and Ischemic Stroke in a Korean Population

Association between polymorphisms in miRNAs and ischemic stroke: A meta-analysis

BACKGROUND

Atherosclerosis remains a predominant cause of ischemic stroke (IS). Four miRNA polymorphisms associated with arteriosclerosis mechanism were meta-analyzed to explore whether they had predictive significance for IS.

METHODS

PubMed, Excerpta Medica database, Web of Science, Cochrane Library, Scopus, China National Knowledge Infrastructure, and China Wanfang Database were searched for relevant case-control studies published before September 2022. Two researchers independently reviewed the studies and extracted the data. Data synthesis was carried out on eligible studies. Meta-analysis, subgroup analysis, sensitivity analysis, and publication bias analysis were performed using Stata software 16.0.

RESULTS

Twenty-two studies were included, comprising 8879 cases and 12,091 controls. The results indicated that there were no significant associations between miR-146a C>G (rs2910164), miR-196a2 T>C (rs11614913) and IS risk in the overall analyses, but miR-149 T>C (rs2292832) and miR-499 A>G (rs3746444) increased IS risk under the allelic model, homozygote model and recessive model. The subgroup analyses based on Trial of Org 101072 in Acute Stroke Treatment classification indicated that rs2910164 increased small artery occlusion (SAO) risk under the allelic model, heterozygote model and dominant model; rs11614913 decreased the risk of SAO under the allelic model, homozygote model, heterozygote model and dominant model.

CONCLUSION

This Meta-analysis showed that all 4 single nucleotide polymorphisms were associated with the risk of IS or SAO, even though the overall and subgroup analyses were not entirely consistent.

Identification of Hub Genes Associated with Immune Infiltration in Cardioembolic Stroke by Whole Blood Transcriptome Analysis

Cardioembolic stroke (CS) is the most common type of ischemic stroke in the clinic, leading to high morbidity and mortality worldwide. Although many studies have been conducted, the molecular mechanism underlying CS has not been fully grasped. This study was aimed at exploring the molecular mechanism of CS using comprehensive bioinformatics analysis and providing new insights into the pathophysiology of CS. We downloaded the public datasets GSE58294 and GSE16561. Differentially expressed genes (DEGs) were screened via the limma package using R software. CIBERSORT was used to estimate the proportions of 22 immune cells based on the gene expression profiling of CS patients. Using weighted gene correlation network analysis (WGCNA) to cluster the genes into different modules and detect relationships between modules and immune cell types, hub genes were identified based on the intersection of the protein-protein interaction (PPI) network analysis and WGCNA, and their clinical significance was then verified using another independent dataset GSE16561. Totally, 319 genes were identified as DEGs and 5413 genes were clustered into nine modules using WGCNA. The blue module, with the highest correlation coefficient, was identified as the key module associated with stroke, neutrophils, and B cells naïve. Based on the PPI analysis and WGCNA, five genes (MCEMP1, CLEC4D, GPR97, TSPAN14, and FPR2) were identified as hub genes. Correlation analysis indicated that hub genes had general association with infiltration-related immune cells. ROC analysis also showed they had potential clinical significance. The results were verified using another dataset, which were consistent with our analysis. Five crucial genes determined using integrative bioinformatics analysis might play significant roles in the pathophysiological mechanism in CS and be potential targets for pharmaceutic therapies.

Pre-micro RNA polymorphism detection in small versus large vessel disease in stroke Egyptian patients

Stroke is the main cause of adult disability and is responsible for around 11% of deaths all over the world. Ischemic stroke encompasses about 80-85% of total stroke cases. Several studies have shown the relation between microRNAs polymorphism and ischemic stroke. The aim of the study was to evaluate the influence of three common single nucleotide polymorphisms in pre-miRNAs (hsa-miR-146a/rs2910164, hsa-miR-196a2/rs11614913 and hsa-miR-499/rs3746444) on individual susceptibility to the risk of ischemic stroke subtypes in Egyptian population with 117 ischemic stroke patients. Results showed that hsa-miR-146a/rs2910164 was significantly associated with the risk of small vessel disease stroke in Egyptian population with no significant association between hsa-miR-196a2/rs11614913 and hsa-miR-499/rs3746444 with the risk of ischemic stroke. Therefore, it can be concluded that miR-146a/rs2910164 polymorphism is involved in the vulnerability to small vessel disease ischemic stroke risk in Egyptian population.

Pre-micro RNA polymorphism detection in small versus large vessel disease in stroke Egyptian patients

Stroke is the main cause of adult disability and is responsible for around 11% of deaths all over the world. Ischemic stroke encompasses about 80-85% of total stroke cases. Several studies have shown the relation between microRNAs polymorphism and ischemic stroke. The aim of the study was to evaluate the influence of three common single nucleotide polymorphisms in pre-miRNAs (hsa-miR-146a/rs2910164, hsa-miR-196a2/rs11614913 and hsa-miR-499/rs3746444) on individual susceptibility to the risk of ischemic stroke subtypes in Egyptian population with 117 ischemic stroke patients. Results showed that hsa-miR-146a/rs2910164 was significantly associated with the risk of small vessel disease stroke in Egyptian population with no significant association between hsa-miR-196a2/rs11614913 and hsa-miR-499/rs3746444 with the risk of ischemic stroke. Therefore, it can be concluded that miR-146a/rs2910164 polymorphism is involved in the vulnerability to small vessel disease ischemic stroke risk in Egyptian population.