Evidence map›Paper›PMID 28105411›Full record

ArticleBioMed research international2016

A Two-Dimensional Numerical Investigation of Transport of Malaria-Infected Red Blood Cells in Stenotic Microchannels.

Tong Wang, Yong Tao, Uwitije Rongin, Zhongwen Xing

Abstract read
In one paragraph

Article in BioMed research international, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. A Lab-On-chip Tool for Rapid, Quantitative, and Stage-selective Diagnosis of Malaria.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2021
    Article
  2. Article
  3. Article
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

4 authors.

Tong WangDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.ORCID 0000-0003-3274-1607
Yong TaoDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Uwitije RonginDepartment of Mathematics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China.
Zhongwen XingSchool of Electronic Science and Engineering, Nanjing University, Nanjing 210093, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The malaria-infected red blood cells experience a significant decrease in cell deformability and increase in cell membrane adhesion. Blood hemodynamics in microvessels is significantly affected by the alteration of the mechanical property as well as the aggregation of parasitized red blood cells. In this study, we aim to numerically study the connection between cell-level mechanobiological properties of human red blood cells and related malaria disease state by investigating the transport of multiple red blood cell aggregates passing through microchannels with symmetric stenosis. Effects of stenosis magnitude, aggregation strength, and cell deformability on cell rheology and flow characteristics were studied by a two-dimensional model using the fictitious domain-immersed boundary method. The results indicated that the motion and dissociation of red blood cell aggregates were influenced by these factors and the flow resistance increases with the increase of aggregating strength and cell stiffness. Further, the roughness of the velocity profile was enhanced by cell aggregation, which considerably affected the blood flow characteristics. The study may assist us in understanding cellular-level mechanisms in disease development.

Indexed as

Erythrocyte DeformabilityModels, CardiovascularBiological Transport, ActiveBlood Flow VelocityCell AdhesionConstriction, PathologicErythrocyte MembraneHumansMalariaMicrovessels

Identifiers

PMID28105411
PMCPMC5221363

What OpenQuestion holds

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Registered trials

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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.