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Article ; Online: Circulating cellular clusters are associated with thrombotic complications and clinical outcomes in COVID-19

Ander Dorken-Gallastegi / Yao Lee / Guansheng Li / He Li / Leon Naar / Xuejin Li / Ting Ye / Elizabeth Van Cott / Rachel Rosovsky / David Gregory / Ronald Tompkins / George Karniadakis / Haytham MA. Kaafarani / George C. Velmahos / Jarone Lee / Galit H. Frydman

iScience, Vol 26, Iss 7, Pp 107202- (2023)

2023  

Abstract: Summary: 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. ...

Abstract Summary: 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 in silico 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.
Keywords Cell biology ; Health sciences ; Immunology ; Microbiology ; Science ; Q
Subject code 610
Language English
Publishing date 2023-07-01T00:00:00Z
Publisher Elsevier
Document type Article ; Online
Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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