Evidence map›Paper›PMID 31002688›Full record

ArticlePloS one2019

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

Nadeeshani Maheshika Geekiyanage, Marie Anne Balanant, Emilie Sauret, Suvash Saha, Robert Flower, Chwee Teck Lim, YuanTong Gu

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed.

  1. Article
  2. Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization.International journal for numerical methods in biomedical engineering · 2026
    Article
  3. Bending Energy Schemes for Discrete-Spring-Network Structural Modelling of Red Blood Cells.International journal for numerical methods in biomedical engineering · 2025
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Nadeeshani Maheshika GeekiyanageSchool of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Marie Anne BalanantSchool of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Emilie SauretSchool of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.
Suvash SahaUniversity of Technology Sydney (UTS), Ultimo, New South Wales, Australia.ORCID 0000-0002-9962-8919
Robert FlowerResearch & Development, Australian Red Cross Blood Service, Brisbane, Queensland, Australia.ORCID 0000-0002-7257-1844
Chwee Teck LimDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore.
YuanTong GuSchool of Chemistry, Physics and Mechanical Engineering, Queensland University of Technology (QUT), Brisbane, Queensland, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

AlgorithmsErythrocyte DeformabilityModels, BiologicalBiomechanical PhenomenaCell SizeErythrocyte MembraneErythrocytesErythrocytes, AbnormalHumansMicroscopy, Electron, Scanning

Identifiers

PMID31002688
PMCPMC6474605

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.