Ma Hai-Dong, He Cui, Deng Su-Rong, Zhang Ting-Ting, Li Yuan, Zhang Tian-Cong
Pharmacy Department, Yongchuan Hospital of Chongqing Medical University, Chongqing 402160, China.
Department of Blood Transfusion, Yongchuan Hospital of Chongqing Medical University, Chongqing 402160, China,E-mail:
Zhongguo Shi Yan Xue Ye Xue Za Zhi. 2023 Apr;31(2):495-502. doi: 10.19746/j.cnki.issn.1009-2137.2023.02.027.
To study the effect of gradient shear stress on platelet aggregation by microfluidic chip Technology.
Microfluidic chip was used to simulate 80% fixed stenotic microchannel, and the hydrodynamic behavior of the stenotic microchannel model was analyzed by the finite element analysis module of sollidwork software. Microfluidic chip was used to analyze the adhesion and aggregation behavior of platelets in patients with different diseases, and flow cytometry was used to detect expression of the platelet activation marker CD62p. Aspirin, Tirofiban and protocatechuic acid were used to treat the blood, and the adhesion and aggregation of platelets were observed by fluorescence microscope.
The gradient fluid shear rate produced by the stenosis model of microfluidic chip could induce platelet aggregation, and the degree of platelet adhesion and aggregation increased with the increase of shear rate within a certain range of shear rate. The effect of platelet aggregation in patients with arterial thrombotic diseases were significantly higher than normal group (<0.05), and the effect of platelet aggregation in patients with myelodysplastic disease was lower than normal group (<0.05).
The microfluidic chip analysis technology can accurately analyze and evaluate the platelet adhesion and aggregation effects of various thrombotic diseases unde the environment of the shear rate, and is helpful for auxiliary diagnosis of clinical thrombotic diseases.
采用微流控芯片技术研究梯度剪切应力对血小板聚集的影响。
利用微流控芯片模拟80%固定狭窄微通道,通过sollidwork软件的有限元分析模块分析狭窄微通道模型的流体动力学行为。利用微流控芯片分析不同疾病患者血小板的黏附与聚集行为,采用流式细胞术检测血小板活化标志物CD62p的表达。用阿司匹林、替罗非班和原儿茶酸处理血液,通过荧光显微镜观察血小板的黏附与聚集情况。
微流控芯片狭窄模型产生的梯度流体剪切速率可诱导血小板聚集,在一定剪切速率范围内,血小板黏附与聚集程度随剪切速率增加而升高。动脉血栓性疾病患者的血小板聚集作用显著高于正常组(<0.05),骨髓增生异常综合征患者的血小板聚集作用低于正常组(<0.05)。
微流控芯片分析技术能够在剪切速率环境下准确分析和评估各种血栓性疾病的血小板黏附与聚集作用,有助于临床血栓性疾病的辅助诊断。