ArticleJournal of mathematical biology2016
Modelling of platelet-fibrin clot formation in flow with a DPD-PDE method.
Article in Journal of mathematical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.
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Who cites it
34 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.
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- Thrombin activity confinement and dense granule release drive the dynamics of arterial thrombus.PLoS computational biology · 2026Article
- Surface-dependent reactions in blood coagulation and fibrinolysis: beyond procoagulant platelets.Biophysical reviews · 2025Review
- Hemostatic clots: When modeling goes beyond experimental measurements.Biophysical journal · 2023Article
- Biomechanical activation of blood platelets via adhesion to von Willebrand factor studied with mesoscopic simulations.Biomechanics and modeling in mechanobiology · 2023Article
- A model of fluid-structure and biochemical interactions for applications to subclinical leaflet thrombosis.International journal for numerical methods in biomedical engineering · 2023Article
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- von Willebrand factor unfolding mediates platelet deposition in a model of high-shear thrombosis.Biophysical journal · 2022Article
- Advances in Fibrin-Based Materials in Wound Repair: A Review.Molecules (Basel, Switzerland) · 2022Review
- Computational Biomechanical Modeling of Fibrin Networks and Platelet-Fiber Network Interactions.Current opinion in biomedical engineering · 2022Article
- Multiphysics and multiscale modeling of microthrombosis in COVID-19.PLoS computational biology · 2022Article
- Recent Advances in Computational Modeling of Biomechanics and Biorheology of Red Blood Cells in Diabetes.Biomimetics (Basel, Switzerland) · 2022Article
- A three-dimensional multiscale model for the prediction of thrombus growth under flow with single-platelet resolution.PLoS computational biology · 2022Article
- Imaging and biophysical modelling of thrombogenic mechanisms in atrial fibrillation and stroke.Frontiers in cardiovascular medicine · 2022Review
- Mathematical and Computational Modeling of Device-Induced Thrombosis.Current opinion in biomedical engineering · 2021Article
- Patient-Specific Modelling of Blood Coagulation.Bulletin of mathematical biology · 2021Article
Corrections and comments
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Authors and funding
6 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The paper is devoted to mathematical modelling of clot growth in blood flow. Great complexity of the hemostatic system dictates the need of usage of the mathematical models to understand its functioning in the normal and especially in pathological situations. In this work we investigate the interaction of blood flow, platelet aggregation and plasma coagulation. We develop a hybrid DPD-PDE model where dissipative particle dynamics (DPD) is used to model plasma flow and platelets, while the regulatory network of plasma coagulation is described by a system of partial differential equations. Modelling results confirm the potency of the scenario of clot growth where at the first stage of clot formation platelets form an aggregate due to weak inter-platelet connections and then due to their activation. This enables the formation of the fibrin net in the centre of the platelet aggregate where the flow velocity is significantly reduced. The fibrin net reinforces the clot and allows its further growth. When the clot becomes sufficiently large, it stops growing due to the narrowed vessel and the increase of flow shear rate at the surface of the clot. Its outer part is detached by the flow revealing the inner part covered by fibrin. This fibrin cap does not allow new platelets to attach at the high shear rate, and the clot stops growing. Dependence of the final clot size on wall shear rate and on other parameters is studied.
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Registered trials
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.