Evidence map›Paper›PMID 24982253›Full record

ArticlePhilosophical transactions. Series A, Mathematical, physical, and engineering sciences2014

Three-dimensional multi-scale model of deformable platelets adhesion to vessel wall in blood flow.

Ziheng Wu, Zhiliang Xu, Oleg Kim, Mark Alber

Open access · hybridAbstract read
In one paragraph

Article in Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
2.7field-weighted citation impact, top 9% 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

30 citing papers in PubMed, 44 citations in OpenAlex.

  1. Article
  2. Review
  3. Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024
    Review
  4. Article
  5. A model of fluid-structure and biochemical interactions for applications to subclinical leaflet thrombosis.International journal for numerical methods in biomedical engineering · 2023
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Multi-GPU Immersed Boundary Method Hemodynamics Simulations.Journal of computational science · 2020
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

4 authors at 2 institutions in 1 country.

Ziheng WuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA malber@nd.edu.
Zhiliang XuDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.
Oleg KimDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA.
Mark AlberDepartment of Applied and Computational Mathematics and Statistics, University of Notre Dame, Notre Dame, IN 46556, USA Department of Medicine, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
University of Notre Dame · USIndiana University School of Medicine

Funding

Multiscale modeling and empirical study of a mechanism limiting blood clot growthU01HL116330 · NHLBI · UNIVERSITY OF NOTRE DAME · PI ALBER, MARK · 2014 to 2018
$3.5M
Combined multiscale modeling and experimental study of bacterial swarmingR01GM095959 · NIGMS · UNIVERSITY OF NOTRE DAME · PI ALBER, MARK · 2012 to 2015
$1.1M
NHLBI NIH HHS U01 HL116330NIGMS NIH HHS 1R01GM095959NIGMS NIH HHS R01 GM095959
6 · The paper itself

Abstract

When a blood vessel ruptures or gets inflamed, the human body responds by rapidly forming a clot to restrict the loss of blood. Platelets aggregation at the injury site of the blood vessel occurring via platelet-platelet adhesion, tethering and rolling on the injured endothelium is a critical initial step in blood clot formation. A novel three-dimensional multi-scale model is introduced and used in this paper to simulate receptor-mediated adhesion of deformable platelets at the site of vascular injury under different shear rates of blood flow. The novelty of the model is based on a new approach of coupling submodels at three biological scales crucial for the early clot formation: novel hybrid cell membrane submodel to represent physiological elastic properties of a platelet, stochastic receptor-ligand binding submodel to describe cell adhesion kinetics and lattice Boltzmann submodel for simulating blood flow. The model implementation on the GPU cluster significantly improved simulation performance. Predictive model simulations revealed that platelet deformation, interactions between platelets in the vicinity of the vessel wall as well as the number of functional GPIbα platelet receptors played significant roles in platelet adhesion to the injury site. Variation of the number of functional GPIbα platelet receptors as well as changes of platelet stiffness can represent effects of specific drugs reducing or enhancing platelet activity. Therefore, predictive simulations can improve the search for new drug targets and help to make treatment of thrombosis patient-specific.

Indexed as

Blood PlateletsModels, CardiovascularPlatelet ActivationPlatelet AdhesivenessAnimalsArteriesBlood Flow VelocityBlood PressureComputer SimulationHumansShear StrengthVascular System Injuriescell flow interactionlattice Boltzmannplatelet adhesionstochastic receptor–ligand modelthree-dimensional modelthrombus

Identifiers

PMID24982253
PMCPMC4084525
OpenAlexW2149583759

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.