Prognostic Value of Circulating Microvesicle Subpopulations in Ischemic Stroke and TIA

Translational Stroke Research(2020)

引用 14|浏览25
暂无评分
摘要
Platelet microvesicles (PMV) have previously been found elevated in acute ischemic stroke (IS) and could be biomarkers for risk of recurrence. PMV surface antigens such as P-selectin and phosphatidylserine (PS) reflect platelet activation and procoagulance. Tissue factor-positive microvesicles (TF + MV) are considered procoagulant, in particular if co-expressing PS. We enumerated MV subpopulations with these surface antigens in a cohort of 211 patients with primarily non-cardioembolic IS or transient ischemic attack (TIA) and investigated their association with long-term outcome. MV concentrations were determined by flow cytometry in the acute and convalescent phase. Primary outcome was a composite of fatal and non-fatal recurrent IS or myocardial infarction. Secondary outcomes were recurrent IS and all-cause mortality. Outcome events were obtained from Swedish registers during a follow-up of 1100 patient years. Concentrations of PS-positive and PS-negative MV populations were elevated in patients compared with healthy controls in both the acute and convalescent phase. PS + TF + PMV displayed pronounced elevations, median fold change 77 in the acute phase ( p < 0.0001) but were not associated with outcome, neither were PS + P-selectin + PMV. The only subpopulation positively associated with primary outcome was PS − TF + PMV, with adjusted hazard ratio of 1.86 (1.04–3.31, p = 0.036) by Cox regression. Unexpectedly, several MV subpopulations tended to be associated with reduced risk of poor long-term outcome. Our results suggest that PS + TF + PMV may be a promising marker for cerebral ischemia, and that the in vivo generation of PS − MV after IS/TIA warrants further study. Future MV studies should ideally enumerate PS + and PS − MV subpopulations separately.
更多
查看译文
关键词
Ischemic stroke,TIA,Microvesicles,Platelet,Phosphatidylserine
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要