The objective of this study was to explore the relationship between CYP4F2 gene polymorphism and ischemic stroke (IS) in the Han Chinese population. We performed a case-control study to genotype four single nucleotide polymorphisms (SNPs) (rs2108622, rs3093100, rs3093105, rs3093135) in the CYF4F2 gene. The genotype and haplotype distributions were compared between the case and control groups. We found that the GG genotype of rs2108622 in the CYP4F2 gene was associated with risk of IS (P = 0.023).
To clarify the relationship between the β-fibrinogen (FGB) genetic polymorphism (-148C>T) and ischemic stroke, we identified studies by searching PubMed, EMBASE, and the Chinese National Knowledge Infrastructure (CKNI) databases. Data from eligible studies were extracted and subjected to meta-analysis. Publication bias was tested using a funnel plot. We identified 12 independent case-control studies containing 1536 ischemic stroke patients and 1329 control subjects.
Clinical and experimental data have demonstrated that genetic factors play an important role in determining the susceptibility to ischemic stroke (IS). The present study was performed to clarify the association between the pre-microRNA-149 (miR-149) single nucleotide polymorphism rs71428439 and the risk of IS in the Jiangsu Han population. Polymerase chain reaction and restriction fragment length polymorphism were performed to identify the genotypes of the miR-149 single-nucleotide polymorphism rs71428439 in 730 unrelated subjects (IS, 348; healthy controls, 382).
Stroke is a non-communicable disease of increasing socioeconomic importance in aging populations. This study compared the risk factors implicated in two subtypes of ischemic stroke: lacunar stroke (LS) and non-lacunar stroke (NLS). A retrospective case control study was conducted on a total of 368 patients [220 cases (59.8%) of NLS and 148 cases (40.2%) of LS] with first-time onset of ischemic stroke. Multivariate logistic regression was performed to compare multiple non-cerebrovascular risk factors between the two groups.
The association between the MTHFR genetic polymorphism and ischemic stroke has been reported by a number of investigators. However, the results have been controversial and conflicting. The aim of this study was to explore the association between the MTHFR variants C677T and A1298C and the risk of ischemic stroke in an Eastern Chinese Han population. A total of 199 patients with ischemic stroke and 241 controls were recruited. Genotyping of the MTHFR C677T and A1298C polymorphisms was carried out using the Taqman 7900HT Sequence Detection System.
We examined the association between the adiponectin receptor 2 gene and the risk of ischemic stroke. Polymerase chain reaction-restriction fragment length polymorphism was used to detect rs12342 genotypes of the adiponectin receptor 2 gene in 300 ischemic stroke patients and 320 age- and gender-matched healthy controls. In the patient group, the AA, GA, and GG genotype frequencies were 39.3, 42.7, and 18.0%, respectively. The A and G allele frequencies were 0.607 and 0.393, respectively.
Cerebral ischemia or ischemic stroke is mainly attributed to vascular and circulation disorders. Among protein biomarkers, RNA profiles have also been identified as markers of ischemic stroke. MicroRNA-145 expression is ostensibly recognized as marker and modulator of vascular smooth muscle cell phenotype; however, expression levels in ischemic stroke had not been investigated. Employing real-time quantitative PCR, we examined the expression profile of circulatory microRNA-145 in healthy control subjects (N = 14) and ischemic stroke patients (N = 32).
Ischemic stroke (IS) is a multifactorial disorder, and genetic factors act as important contributors to its onset and progression. Inflammation is a key event that is closely associated with the pathophysiology of IS. The association of genetic polymorphisms of inflammatory cytokines with IS remains poorly understood. We investigated the relationship between the variable number of tandem repeats (VNTR) for IL-4, which is an important biomarker of inflammation, and the risk of IS.