Dorken-Gallastegi Ander, Lee Yao, Li Guansheng, Li He, Naar Leon, Li Xuejin, Ye Ting, Van Cott Elizabeth, Rosovsky Rachel, Gregory David, Tompkins Ronald, Karniadakis George, Kaafarani Haytham Ma, Velmahos George C, Lee Jarone, Frydman Galit H
Division of Trauma, Emergency Surgery, and Surgical Critical Care, Massachusetts General Hospital, Boston, MA 02114, USA.
Center for Biomedical Engineering & Division of Comparative Medicine, Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA 02039, USA.
iScience. 2023 Jun 25;26(7):107202. doi: 10.1016/j.isci.2023.107202. eCollection 2023 Jul 21.
We sought to study the role of circulating cellular clusters (CCC) -such as circulating leukocyte clusters (CLCs), platelet-leukocyte aggregates (PLA), and platelet-erythrocyte aggregates (PEA)- in the immunothrombotic state induced by COVID-19. Forty-six blood samples from 37 COVID-19 patients and 12 samples from healthy controls were analyzed with imaging flow cytometry. Patients with COVID-19 had significantly higher levels of PEAs (p value<0.001) and PLAs (p value = 0.015) compared to healthy controls. Among COVID-19 patients, CLCs were correlated with thrombotic complications (p value = 0.016), vasopressor need (p value = 0.033), acute kidney injury (p value = 0.027), and pneumonia (p value = 0.036), whereas PEAs were associated with positive bacterial cultures (p value = 0.033). In predictive simulations, CLCs were more likely to result in microcirculatory obstruction at low flow velocities (≤1 mm/s) and at higher branching angles. Further studies on the cellular component of hyperinflammatory prothrombotic states may lead to the identification of novel biomarkers and drug targets for inflammation-related thrombosis.
我们试图研究循环细胞簇(CCC)——如循环白细胞簇(CLC)、血小板 - 白细胞聚集体(PLA)和血小板 - 红细胞聚集体(PEA)——在新冠病毒(COVID-19)诱导的免疫血栓形成状态中的作用。对37例COVID-19患者的46份血样和健康对照者的12份血样进行了成像流式细胞术分析。与健康对照者相比,COVID-19患者的PEA水平(p值<0.001)和PLA水平(p值 = 0.015)显著更高。在COVID-19患者中,CLC与血栓形成并发症(p值 = 0.016)、血管升压药需求(p值 = 0.033)、急性肾损伤(p值 = 0.027)和肺炎(p值 = 0.036)相关,而PEA与阳性细菌培养结果(p值 = 0.033)相关。在预测模拟中,CLC在低流速(≤1毫米/秒)和较大分支角度时更有可能导致微循环阻塞。对高炎症促血栓形成状态的细胞成分进行进一步研究可能会导致识别出与炎症相关血栓形成的新型生物标志物和药物靶点。