A coarse-grained red blood cell membrane model to study stomatocyte-discocyte-echinocyte morphologies.

Authors:
Marie Anne Balanant
Marie Anne Balanant
Australian Red Cross Blood Service
Emilie Sauret
Emilie Sauret
School of Chemistry
Berkeley | United States
Robert Flower
Robert Flower
Research and Development
Chwee Teck Lim
Chwee Teck Lim
National University of Singapore
Singapore | Singapore
Yuantong Gu
Yuantong Gu
School of Chemistry

PLoS One 2019 19;14(4):e0215447. Epub 2019 Apr 19.

School of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.

An improved red blood cell (RBC) membrane model is developed based on the bilayer coupling model (BCM) to accurately predict the complete sequence of stomatocyte-discocyte-echinocyte (SDE) transformation of a RBC. The coarse-grained (CG)-RBC membrane model is proposed to predict the minimum energy configuration of the RBC from the competition between lipid-bilayer bending resistance and cytoskeletal shear resistance under given reference constraints. In addition to the conventional membrane surface area, cell volume and bilayer-leaflet-area-difference constraints, a new constraint: total-membrane-curvature is proposed in the model to better predict RBC shapes in agreement with experimental observations. A quantitative evaluation of several cellular measurements including length, thickness and shape factor, is performed for the first time, between CG-RBC model predicted and three-dimensional (3D) confocal microscopy imaging generated RBC shapes at equivalent reference constraints. The validated CG-RBC membrane model is then employed to investigate the effect of reduced cell volume and elastic length scale on SDE transformation, to evaluate the RBC deformability during SDE transformation, and to identify the most probable RBC cytoskeletal reference state. The CG-RBC membrane model can predict the SDE shape behaviour under diverse shape-transforming scenarios, in-vitro RBC storage, microvascular circulation and flow through microfluidic devices.

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215447PLOS
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6474605PMC
April 2019
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(Supplied by CrossRef)
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Cardiovascular Diabetology 2013
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Cardiovascular Diabetology 2013
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Physical Review Letters 2008
Computational Biomechanics of Human Red Blood Cells in Hematological Disorders
X. Li et al.
Journal of Biomechanical Engineering 2017

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