Evidence map›Paper›PMID 34896369›Full record

ArticleBiophysical journal2022

Red blood cell shape transitions and dynamics in time-dependent capillary flows.

Steffen M Recktenwald, Katharina Graessel, Felix M Maurer, Thomas John, Stephan Gekle, Christian Wagner

Open access · greenAbstract read
In one paragraph

Article in Biophysical journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
4.5field-weighted citation impact, top 4% of its field
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

22 citing papers in PubMed, 50 citations in OpenAlex.

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  17. Big Data in Transfusion Medicine and Artificial Intelligence Analysis for Red Blood Cell Quality Control.Transfusion medicine and hemotherapy : offizielles Organ der Deutschen Gesellschaft fur Transfusionsmedizin und Immunhamatologie · 2023
    Review
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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

6 authors at 3 institutions in 2 countries.

Steffen M RecktenwaldDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany. Electronic address: steffen.recktenwald@uni-saarland.de.
Katharina GraesselBiofluid Simulation and Modeling, Department of Physics, University of Bayreuth, Bayreuth, Germany.
Felix M MaurerDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany.
Thomas JohnDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany.
Stephan GekleBiofluid Simulation and Modeling, Department of Physics, University of Bayreuth, Bayreuth, Germany.
Christian WagnerDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany; Physics and Materials Science Research Unit, University of Luxembourg, Luxembourg, Luxembourg.
Saarland University · DEUniversity of Bayreuth · DEUniversity of Luxembourg · LU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The dynamics of single red blood cells (RBCs) determine microvascular blood flow by adapting their shape to the flow conditions in the narrow vessels. In this study, we explore the dynamics and shape transitions of RBCs on the cellular scale under confined and unsteady flow conditions using a combination of microfluidic experiments and numerical simulations. Tracking RBCs in a comoving frame in time-dependent flows reveals that the mean transition time from the symmetric croissant to the off-centered, nonsymmetric slipper shape is significantly faster than the opposite shape transition, which exhibits pronounced cell rotations. Complementary simulations indicate that these dynamics depend on the orientation of the RBC membrane in the channel during the time-dependent flow. Moreover, we show how the tank-treading movement of slipper-shaped RBCs in combination with the narrow channel leads to oscillations of the cell's center of mass. The frequency of these oscillations depends on the cell velocity, the viscosity of the surrounding fluid, and the cytosol viscosity. These results provide a potential framework to identify and study pathological changes in RBC properties.

Identifiers

PMID34896369
PMCPMC8758421
OpenAlexW4200462290

What OpenQuestion holds

Textmetadata
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.