Evidence map›Paper›PMID 35277592›Full record

ArticleScientific reports2022

A computational study of red blood cell deformability effect on hemodynamic alteration in capillary vessel networks.

Saman Ebrahimi, Prosenjit Bagchi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
8.8field-weighted citation impact, top 1% 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

38 citing papers in PubMed, 62 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Red Blood Cell Membrane Mechanics Using Discrete Exterior Calculus (DEC) and Optimization.International journal for numerical methods in biomedical engineering · 2026
    Article
  7. Article
  8. Multiphysics-Driven Assembly of Biomimetic Vesicles.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  9. Article
  10. Article
  11. Light force-powered cellular medical micromachines.Frontiers in bioengineering and biotechnology · 2026
    Review
  12. Review
  13. Article
  14. Vascular (dys)function in the failing heart.Nature reviews. Cardiology · 2025
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Biomimetic erythrocyte-based drug delivery systems for organ-targeted therapy.Frontiers in bioengineering and biotechnology · 2025
    Review
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

2 authors at 1 institution in 1 country.

Saman EbrahimiMechanical and Aerospace Engineering Department, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA.
Prosenjit BagchiMechanical and Aerospace Engineering Department, Rutgers, The State University of New Jersey, Piscataway, NJ, 08854, USA. pbagchi@soe.rutgers.edu.
Rutgers, The State University of New Jersey · US

Funding

Development and application of a high-fidelity computational model of diabetic retinopathy hemodynamics: Coupling single-cell biophysics with retinal vascular network topology and complexityR01EY033003 · NEI · RUTGERS, THE STATE UNIV OF N.J. · PI BAGCHI, PROSENJIT · 2021 to 2024
$1.5M
NEI NIH HHS R01 EY033003
6 · The paper itself

Abstract

Capillary blood vessels, the smallest vessels in the body, form an intricate network with constantly bifurcating, merging and winding vessels. Red blood cells (RBCs) must navigate through such complex microvascular networks in order to maintain tissue perfusion and oxygenation. Normal, healthy RBCs are extremely deformable and able to easily flow through narrow vessels. However, RBC deformability is reduced in many pathological conditions and during blood storage. The influence of reduced cell deformability on microvascular hemodynamics is not well established. Here we use a high-fidelity, 3D computational model of blood flow that retains exact geometric details of physiologically realistic microvascular networks, and deformation of every one of nearly a thousand RBCs flowing through the networks. We predict that reduced RBC deformability alters RBC trafficking with significant and heterogeneous changes in hematocrit. We quantify such changes along with RBC partitioning and lingering at vascular bifurcations, perfusion and vascular resistance, and wall shear stress. We elucidate the cellular-scale mechanisms that cause such changes. We show that such changes arise primarily due to the altered RBC dynamics at vascular bifurcations, as well as cross-stream migration. Less deformable cells tend to linger less at majority of bifurcations increasing the fraction of RBCs entering the higher flow branches. Changes in vascular resistance also seen to be heterogeneous and correlate with hematocrit changes. Furthermore, alteration in RBC dynamics is shown to cause localized changes in wall shear stress within vessels and near vascular bifurcations. Such heterogeneous and focal changes in hemodynamics may be the cause of morphological abnormalities in capillary vessel networks as observed in several diseases.

Indexed as

Erythrocyte DeformabilityErythrocytesHematocritHemodynamicsMicrovessels

Identifiers

PMID35277592
PMCPMC8917159
OpenAlexW4220969237

What OpenQuestion holds

Textmetadata
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.