Literature DB >> 19669883

A particle dynamic model of red blood cell aggregation kinetics.

Marianne Fenech1, Damien Garcia, Herbert J Meiselman, Guy Cloutier.   

Abstract

To elucidate the relationship between microscopic red blood cell (RBC) interactions and macroscopic rheological behavior, we propose a two-dimensional particle model capable of mimicking the main characteristics of RBC aggregation kinetics. The mechanical model of RBCs sheared in Couette flow is based on Newton law. We assumed a hydrodynamic force to move particles, a force to describe aggregation and an elasticity force. The role of molecular mass and concentration of neutral polymers on aggregation [Neu, B., and H. J. Meiselman. Biophys. J. 83:2482-2490, 2002] could be mimicked. Specifically, it was shown that for any shear rate (SR), the mean aggregate size (MAS) grew with time until it reached a constant value, which is consistent with in vitro experiments. It was also demonstrated that we could mimic the modal relationship between MAS and SR and the occurrence of maximum aggregation at about 0.1 s(-1). As anticipated, simulations indicated that an increase in aggregation force augmented MAS. Further, augmentation of the depletion layer thickness influenced MAS only for SR close to zero, which is a new finding. To conclude, our contribution reveals that the aggregation force intensity and SR influence the steady state MAS, and that the depletion and layer thickness affect the aggregation speed.

Mesh:

Year:  2009        PMID: 19669883     DOI: 10.1007/s10439-009-9775-1

Source DB:  PubMed          Journal:  Ann Biomed Eng        ISSN: 0090-6964            Impact factor:   3.934


  6 in total

1.  Velocity variation assessment of red blood cell aggregation with spectral domain Doppler optical coherence tomography.

Authors:  Xiangqun Xu; Lingfeng Yu; Zhongping Chen
Journal:  Ann Biomed Eng       Date:  2010-05-15       Impact factor: 3.934

2.  Extended photoacoustic transport model for characterization of red blood cell morphology in microchannel flow.

Authors:  Nasire Uluc; Mehmet Burcin Unlu; Gultekin Gulsen; Hakan Erkol
Journal:  Biomed Opt Express       Date:  2018-05-23       Impact factor: 3.732

3.  Design of microfluidic channels for magnetic separation of malaria-infected red blood cells.

Authors:  Wei-Tao Wu; Andrea Blue Martin; Alberto Gandini; Nadine Aubry; Mehrdad Massoudi; James F Antaki
Journal:  Microfluid Nanofluidics       Date:  2016-02-02       Impact factor: 2.529

4.  Numerical simulation of spatiotemporal red blood cell aggregation under sinusoidal pulsatile flow.

Authors:  Cheong-Ah Lee; Dong-Guk Paeng
Journal:  Sci Rep       Date:  2021-05-11       Impact factor: 4.379

5.  Recent Advances in Computational Modeling of Biomechanics and Biorheology of Red Blood Cells in Diabetes.

Authors:  Yi-Xiang Deng; Hung-Yu Chang; He Li
Journal:  Biomimetics (Basel)       Date:  2022-01-13

6.  Quantifying Fibrinogen-Dependent Aggregation of Red Blood Cells in Type 2 Diabetes Mellitus.

Authors:  Yixiang Deng; Dimitrios P Papageorgiou; Xuejin Li; Nikolaos Perakakis; Christos S Mantzoros; Ming Dao; George Em Karniadakis
Journal:  Biophys J       Date:  2020-08-07       Impact factor: 4.033

  6 in total

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