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Updated: Aug 30, 2025

Controlled Microfluidic Environment for Dynamic Investigation of Red Blood Cell Aggregation
Published on: June 4, 2015
Circulating cell clusters aggravate the hemorheological abnormalities in COVID-19
Elahe Javadi1, He Li2, Ander Dorken Gallastegi3
1Department of Mechanical and Industrial Engineering, Northeastern University, Boston, Massachusetts.
Insights
Computational models reveal how red blood cell and white blood cell clusters increase blood viscosity in COVID-19 patients, impacting disease progression and explaining clinical observations of clotting events.
Area of Science:
- Hematology
- Computational Biology
- Biophysics
Background:
- Microthrombi and circulating cell clusters are common in COVID-19, potentially driving disease progression.
- Previous studies noted these clusters in COVID-19 blood samples, prompting further investigation into their rheological impact.
Purpose of the Study:
- To computationally simulate the dynamics of white blood cell (WBC), platelet, and red blood cell clusters in COVID-19 blood.
- To quantify the impact of these clusters on blood viscosity and local hemorheology under varying shear flows.
Main Methods:
- Dissipative particle dynamics (DPD) simulations were employed to model circulating cell clusters.
- Simulations analyzed cluster dynamics across a range of shear flow conditions.
Main Results:
- Increased fibrinogen in COVID-19 promotes red blood cell clustering, elevating blood viscosity, similar to sickle cell disease and type 2 diabetes.
- White blood cell (WBC) clusters significantly increase local blood viscosity, with larger clusters causing greater elevation.
- Platelet clusters have a negligible impact on local rheology due to their small size.
Conclusions:
- WBC cluster size correlates with elevated blood viscosity and explains their association with thrombotic events in COVID-19.
- The distinct rheological impacts of WBC and platelet clusters align with clinical findings.
- Computational models offer a powerful method for investigating COVID-19 hemorheological alterations and their clinical links.
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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