ArticleMathematical medicine and biology : a journal of the IMA2017
Multiscale simulation of thrombus growth and vessel occlusion triggered by collagen/tissue factor using a data-driven model of combinatorial platelet signalling.
Article in Mathematical medicine and biology : a journal of the IMA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- Artificial intelligence in computational modeling of thrombosis: Bridging mechanistic insights and clinical translation.Journal of thrombosis and thrombolysis · 2026Pooled it
- Beyond Conventional: A Review of Phytochemical-Hydrogel Systems Enhanced by AI and 3D Printing for Chronic Wound Management.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Thrombin activity confinement and dense granule release drive the dynamics of arterial thrombus.PLoS computational biology · 2026Article
- Multiscale simulations that incorporate patient-specific neural network models of platelet calcium signaling predict diverse thrombotic outcomes under flow.PLoS computational biology · 2025Article
- Accelerating virtual patient generation with a Bayesian optimization and machine learning surrogate model.CPT: pharmacometrics & systems pharmacology · 2025Article
- Decoding thrombosis through code: a review of computational models.Journal of thrombosis and haemostasis : JTH · 2024Review
- Hemostatic clots: When modeling goes beyond experimental measurements.Biophysical journal · 2023Article
- Computational Biomechanical Modeling of Fibrin Networks and Platelet-Fiber Network Interactions.Current opinion in biomedical engineering · 2022Article
- A 1D-3D Hybrid Model of Patient-Specific Coronary Hemodynamics.Cardiovascular engineering and technology · 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
- Computational modeling of blood component transport related to coronary artery thrombosis in Kawasaki disease.PLoS computational biology · 2021Article
- Sensitivity analysis of a reduced model of thrombosis under flow: Roles of Factor IX, Factor XI, and γ'-Fibrin.PloS one · 2021Article
- Reduced model to predict thrombin and fibrin during thrombosis on collagen/tissue factor under venous flow: Roles of γ'-fibrin and factor XIa.PLoS computational biology · 2019Article
- Coagulopathy implications using a multiscale model of traumatic bleeding matching macro- and microcirculation.American journal of physiology. Heart and circulatory physiology · 2019Article
- Review of quantitative systems pharmacological modeling in thrombosis.Communications in information and systems · 2019Article
- Microfluidics contrasted to thrombelastography: perplexities in defining hypercoagulability.The Journal of surgical research · 2018Article
- Multiscale systems biology of trauma-induced coagulopathy.Wiley interdisciplinary reviews. Systems biology and medicine · 2018Review
- Establishing the Transient Mass Balance of Thrombosis: From Tissue Factor to Thrombin to Fibrin Under Venous Flow.Arteriosclerosis, thrombosis, and vascular biology · 2018Article
- A parallel fluid-solid coupling model usingJournal of computational science · 2018Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
During clotting under flow, platelets bind and activate on collagen and release autocrinic factors such as ADP and thromboxane, while tissue factor (TF) on the damaged wall leads to localized thrombin generation. Towards patient-specific simulation of thrombosis, a multiscale approach was developed to account for: platelet signalling [neural network (NN) trained by pairwise agonist scanning (PAS), PAS-NN], platelet positions (lattice kinetic Monte Carlo, LKMC), wall-generated thrombin and platelet-released ADP/thromboxane convection-diffusion (partial differential equation, PDE) and flow over a growing clot (lattice Boltzmann). LKMC included shear-driven platelet aggregate restructuring. The PDEs for thrombin, ADP and thromboxane were solved by finite element method using cell activation-driven adaptive triangular meshing. At all times, intracellular calcium was known for each platelet by PAS-NN in response to its unique exposure to local collagen, ADP, thromboxane and thrombin. When compared with microfluidic experiments of human blood clotting on collagen/TF driven by constant pressure drop, the model accurately predicted clot morphology and growth with time. In experiments and simulations at TF at 0.1 and 10 molecule-TF/$\mu$m$^{2}$ and initial wall shear rate of 200 s$^{-1}$, the occlusive blockade of flow for a 60-$\mu$m channel occurred relatively abruptly at 600 and 400 s, respectively (with no occlusion at zero TF). Prior to occlusion, intrathrombus concentrations reached 50 nM thrombin, ~ 1 $\mu$M thromboxane and ~ 10 $\mu$M ADP, while the wall shear rate on the rough clot peaked at ~ 1000-2000 s$^{-1}$. Additionally, clotting on TF/collagen was accurately simulated for modulators of platelet cyclooxygenase-1, P2Y$_{1}$ and IP-receptor. This multiscale approach facilitates patient-specific simulation of thrombosis under hemodynamic and pharmacological conditions.
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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.