Association between platelet glycoprotein Ia C807T gene polymorphism and ischemic stroke: a meta-analysis in a separate ethnic group.

Many studies have been examined the association of platelet glycoprotein (GP) Ia C807T polymorphism with ischemic stroke (IS) susceptibility. However, the results of these studies are inconsistent. To further assess the effects of GP Ia C807T polymorphism on the risk of IS, a meta-analysis was performed in a separate ethnic group. Relevant studies were identified using PubMed and Chinese databases through January 2017. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the strength of the associations. Finally, 13 studies contained 2438 IS cases and 2308 controls included. In the total analyses, a significantly elevated risk of IS was associated with all variants of GP Ia C807T in the Chinese population (T vs C: OR = 1.24, 95% CI = 1.09-1.40; TT vs CC: OR = 1.59, 95% CI = 1.17-2.15; TT and CT combined vs CC: OR = 1.32, 95% CI = 1.09-1.59; TT vs CC and CT: OR = 1.35, 95% CI = 1.04-1.76). In the subgroup analyses stratified by ethnicity and geographic areas, it revealed the significant results in Chinese Han and in South China. This meta-analysis provides the evidence that GP Ia C807T polymorphism may contribute to the IS development in the Chinese population, especially in South China, and further studies in other ethic groups are required for definite conclusions.

Association between FSP, CVHI, inflammatory cytokines and the incidence of primary stroke.

This case-control study was designed to establish a new risk-prediction model for primary stroke using Framingham stroke profile (FSP), cerebral vascular hemodynamic indexes (CVHI) and plasma inflammatory cytokines including hs-CRP, IL-6, TNF-α and Lp-PLA2. A total of 101 primary stroke patients admitted to Dongguan Houjie Hospital between August 2014 and June 2015 were assigned into the case group, and 156 age- and gender-matched healthy subjects from the Houjie Community were allocated into the control group. The prognostic values of FSP, CVHI and inflammatory cytokines including high sensitive C-reactive protein (hs-CRP), interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α) and lipoprotein-associated phospholipase A2 (Lp-PLA2) were assessed by multivariate logistic regression analysis. Seven risk-prediction models (FSP, CVHI, inflammatory cytokine, FSP+CVHI, FSP+inflammatory cytokine, CVHI+inflammatory cytokine, CVHI+FSP+inflammatory cytokine) were successfully established and the prognostic values were statistically compared by ROC curve and Z test. For FSP, the stroke risk was significantly elevated by 2.85 times when the FSP score was increased by 1 level (P=0.043), increased by 3.25 times for CVHI (P=0.036), 6.53 times for IL-6 (P=0.003), and 7.75 times for Lp-PLA2 (P=0.000). The sensitivity of FSP+CVHI+inflammatory cytokine and CVHI+inflammatory cytokine models was higher than 90%. For model specificity, the specificity of FSP+CVHI+inflammatory cytokine model alone exceeded 90%. FSP, CVHI, IL-6 and Lp-PLA2 are independent risk factors of stroke. Integrating IL-6 and Lp-PLA2 into the models can significantly enhance the risk prediction accuracy of primary stroke. Combined application of FSP+CVHI+inflammatory cytokine is of potential for risk prediction of primary stroke.