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

Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Original Publication: San Francisco, CA : Public Library of Science

Algorithms* ; Erythrocyte Deformability* ; Models, Biological*; Erythrocyte Membrane/*metabolism ; Erythrocytes/*metabolism ; Erythrocytes, Abnormal/*metabolism; Biomechanical Phenomena ; Cell Size ; Erythrocyte Membrane/ultrastructure ; Erythrocytes/ultrastructure ; Erythrocytes, Abnormal/ultrastructure ; Humans ; Microscopy, Electron, Scanning

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.
Competing Interests: The authors have declared that no competing interests exist.

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Date Created: 20190420 Date Completed: 20200113 Latest Revision: 20240716

20240716

PMC6474605

10.1371/journal.pone.0215447

31002688