Evidence map›Paper›PMID 40087863›Full record

ArticleBiophysical journal2025

Aggregation and disaggregation of red blood cells: Depletion versus bridging.

Nicolas Moreno, Kirill Korneev, Alexey Semenov, Alper Topuz, Thomas John, Minne Paul Lettinga, Marco Ellero, Christian Wagner, Dmitry A Fedosov

Abstract read
In one paragraph

Article in Biophysical journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Band pattern formation of erythrocytes in density gradients is due to competing aggregation and net buoyancy.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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

9 authors.

Nicolas MorenoBasque Center for Applied Mathematics (BCAM), Bilbao, Spain. Electronic address: nmoreno@bcamath.org.
Kirill KorneevDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany.
Alexey SemenovDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany.
Alper TopuzTheoretical Physics of Living Matter, Institute for Advanced Simulation, Forschungszentrum Jülich, Jülich, Germany.
Thomas JohnDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany.
Minne Paul LettingaInstitute of Biological Information Processing IBI-4, Forschungszentrum Jülich, Jülich, Germany.
Marco ElleroBasque Center for Applied Mathematics (BCAM), Bilbao, Spain; IKERBASQUE, Basque Foundation for Science, Bilbao, Spain; Complex Fluids Research Group, Department of Chemical Engineering, Swansea University, Swansea, United Kingdom.
Christian WagnerDynamics of Fluids, Department of Experimental Physics, Saarland University, Saarbrücken, Germany; Department of Physics and Materials Science, University of Luxembourg, Luxembourg, Luxembourg.
Dmitry A FedosovTheoretical Physics of Living Matter, Institute for Advanced Simulation, Forschungszentrum Jülich, Jülich, Germany. Electronic address: d.fedosov@fz-juelich.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aggregation of red blood cells (RBCs) is a complex phenomenon that strongly impacts blood flow and tissue perfusion. Despite extensive research for more than 50 years, physical mechanisms that govern RBC aggregation are still under debate. Two proposed mechanisms are based on bridging and depletion interactions between RBCs due to the presence of macromolecules in blood plasma. The bridging hypothesis assumes the formation of bonds between RBCs through adsorbing macromolecules, while the depletion mechanism results from the exclusion of macromolecules from the intercellular space, leading to effective attraction. Existing experimental studies generally cannot differentiate between these two aggregation mechanisms, although several recent investigations suggest concurrent involvement of the both mechanisms. We explore dynamic aggregation and disaggregation of two RBCs using three simulation models: a potential-based model mimicking depletion interactions, a bridging model with immobile bonds, and a new bridging model with mobile bonds that can slide along RBC membranes. Simulation results indicate that dynamic aggregation of RBCs primarily arises from depletion interactions, while disaggregation of RBCs involves both mechanisms. The bridging model with mobile bonds reproduces well the corresponding experimental data, offering insights into the interplay between bridging and depletion interactions and providing a framework for studying similar interactions between other biological cells.

Indexed as

Erythrocyte AggregationErythrocytesModels, BiologicalHumans

Identifiers

PMID40087863
PMCPMC12044398

What Socratic 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 Socratic graph.