↓ Skip to main content

PLOS

Multiscale Modeling of Red Blood Cell Mechanics and Blood Flow in Malaria

Overview of attention for article published in PLoS Computational Biology, December 2011
Altmetric Badge

Mentioned by

twitter
2 X users

Readers on

mendeley
166 Mendeley
citeulike
3 CiteULike
Title
Multiscale Modeling of Red Blood Cell Mechanics and Blood Flow in Malaria
Published in
PLoS Computational Biology, December 2011
DOI 10.1371/journal.pcbi.1002270
Pubmed ID
Authors

Dmitry A. Fedosov, Huan Lei, Bruce Caswell, Subra Suresh, George E. Karniadakis

Abstract

Red blood cells (RBCs) infected by a Plasmodium parasite in malaria may lose their membrane deformability with a relative membrane stiffening more than ten-fold in comparison with healthy RBCs leading to potential capillary occlusions. Moreover, infected RBCs are able to adhere to other healthy and parasitized cells and to the vascular endothelium resulting in a substantial disruption of normal blood circulation. In the present work, we simulate infected RBCs in malaria using a multiscale RBC model based on the dissipative particle dynamics method, coupling scales at the sub-cellular level with scales at the vessel size. Our objective is to conduct a full validation of the RBC model with a diverse set of experimental data, including temperature dependence, and to identify the limitations of this purely mechanistic model. The simulated elastic deformations of parasitized RBCs match those obtained in optical-tweezers experiments for different stages of intra-erythrocytic parasite development. The rheological properties of RBCs in malaria are compared with those obtained by optical magnetic twisting cytometry and by monitoring membrane fluctuations at room, physiological, and febrile temperatures. We also study the dynamics of infected RBCs in Poiseuille flow in comparison with healthy cells and present validated bulk viscosity predictions of malaria-infected blood for a wide range of parasitemia levels (percentage of infected RBCs with respect to the total number of cells in a unit volume).

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Italy 1 <1%
Brazil 1 <1%
India 1 <1%
France 1 <1%
Canada 1 <1%
United Kingdom 1 <1%
Korea, Republic of 1 <1%
Other 1 <1%
Unknown 155 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 27%
Researcher 28 17%
Student > Master 19 11%
Student > Doctoral Student 12 7%
Student > Bachelor 10 6%
Other 32 19%
Unknown 20 12%
Readers by discipline Count As %
Engineering 41 25%
Agricultural and Biological Sciences 26 16%
Physics and Astronomy 24 14%
Biochemistry, Genetics and Molecular Biology 11 7%
Medicine and Dentistry 9 5%
Other 30 18%
Unknown 25 15%