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Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19.
Javadi, Elahe; Li, He; Gallastegi, Ander Dorken; Frydman, Galit H; Jamali, Safa; Karniadakis, George Em.
  • Javadi E; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts.
  • Li H; School of Engineering, Brown University, Providence, Rhode Island; School of Chemical, Materials and Biomedical Engineering, University of Georgia, Athens, Georgia. Electronic address: he_li@brown.edu.
  • Gallastegi AD; Division of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, Massachusetts.
  • Frydman GH; Division of Trauma, Emergency Surgery and Surgical Critical Care at the Massachusetts General Hospital, Boston, Massachusetts; Department of Biological Engineering at the Massachusetts Institute of Technology, Cambridge, Massachusetts.
  • Jamali S; Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts. Electronic address: s.jamali@northeastern.edu.
  • Karniadakis GE; School of Engineering, Brown University, Providence, Rhode Island; Division of Applied Mathematics and School of Engineering, Brown University, Providence, Rhode Island. Electronic address: george_karniadakis@brown.edu.
Biophys J ; 121(18): 3309-3319, 2022 09 20.
Статья в английский | MEDLINE | ID: covidwho-2003901
ABSTRACT
Microthrombi and circulating cell clusters are common microscopic findings in patients with coronavirus disease 2019 (COVID-19) at different stages in the disease course, implying that they may function as the primary drivers in disease progression. Inspired by a recent flow imaging cytometry study of the blood samples from patients with COVID-19, we perform computational simulations to investigate the dynamics of different types of circulating cell clusters, namely white blood cell (WBC) clusters, platelet clusters, and red blood cell clusters, over a range of shear flows and quantify their impact on the viscosity of the blood. Our simulation results indicate that the increased level of fibrinogen in patients with COVID-19 can promote the formation of red blood cell clusters at relatively low shear rates, thereby elevating the blood viscosity, a mechanism that also leads to an increase in viscosity in other blood diseases, such as sickle cell disease and type 2 diabetes mellitus. We further discover that the presence of WBC clusters could also aggravate the abnormalities of local blood rheology. In particular, the extent of elevation of the local blood viscosity is enlarged as the size of the WBC clusters grows. On the other hand, the impact of platelet clusters on the local rheology is found to be negligible, which is likely due to the smaller size of the platelets. The difference in the impact of WBC and platelet clusters on local hemorheology provides a compelling explanation for the clinical finding that the number of WBC clusters is significantly correlated with thrombotic events in COVID-19 whereas platelet clusters are not. Overall, our study demonstrates that our computational models based on dissipative particle dynamics can serve as a powerful tool to conduct quantitative investigation of the mechanism causing the pathological alterations of hemorheology and explore their connections to the clinical manifestations in COVID-19.
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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Прогностическое исследование Пределы темы: Люди Язык: английский Журнал: Biophys J Год: 2022 Тип: Статья

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Полный текст: Имеется в наличии Коллекция: Международные базы данных база данных: MEDLINE Основная тема: COVID-19 Тип исследования: Прогностическое исследование Пределы темы: Люди Язык: английский Журнал: Biophys J Год: 2022 Тип: Статья