CD62P (P-selectin) expression as a platelet activation marker in patients with liver cirrhosis with and without cholestasis
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Aim of the study: P-selectin (CD62P) is a platelet activation marker that was claimed to mediate the accumulation of platelets induced by cholestasis. The nature of platelet dysfunction and hemostasis abnormalities in cholestatic liver disease needs to be more explored. The aim of this study was to assess platelet CD62P expression in cirrhotic patients with and without cholestasis, and to evaluate its relationship with a bleeding tendency. Material and methods: 150 patients were included in this case-control study. Participants were divided into 84 patients with liver cirrhosis (group I), 44 of whom had cholestasis (Group Ia) and 40 patients were without cholestasis (group Ib); 36 patients who were cholestatic without liver cirrhosis (group II); and 30 healthy subjects who formed the control group (group III). Platelet CD62P expression was assessed by a flow cytometer. Results: Platelets expressing CD62P were significantly increased in all patient groups compared to controls (p < 0.001). Platelets expressing CD62P were significantly increased in gastrointestinal (GIT) bleeders compared to non-bleeders in cirrhotic and cholestatic groups (p < 0.001 each). Among group I patients at cut-off > 12.4, up-regulation of platelet CD62P yielded 72% sensitivity and 44.1% specificity to discriminate bleeders from non-bleeders (p = 0.01), while among group II at cut-off > 12.9, it yielded 90% sensitivity and 80.8% specificity (p < 0.001). In cirrhotic patients, platelet CD62P expression was significantly increased in patients with an advanced Child-Pugh class (p < 0.001). Platelet expressing CD62P was shown as an independent risk factor for bleeding among cirrhotic cases with an odds ratio of 1.07 and CI 0.99-1.15. Conclusions: Up-regulation of platelet CD62P expression can serve as a GIT bleeding predictor in liver cirrhosis.Keywords: CD62P; bleeding; cholestasis; cirrhosis; gastrointestinal; liver; marker; overexpression; platelet activation; selectin.
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基因水平:PCR Array、RT-PCR、PCR、单细胞测序
蛋白水平:MSD、Luminex、CBA、Elispot、Antibody Array、ELISA、Sengenics
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数据分析:流式数据分析、组化数据分析、多因子数据分析
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