A simplified mesoscale 3D model for characterizing fibrinolysis under flow conditions

Article Article scientifique Article A simplified mesoscale 3D model for characterizing fibrinolysis under flow conditions eng 2023-08-22 2023-08-22 author Petkantchin Rémy Valentin 0000-0001-8137-8811 Scientific and Parallel Computing Group, Computer Science Department, University of Geneva, Geneva, Switzerland. remy.petkantchin@unige.ch.,Complex System Modeling Group, Computer Science Department, University of Geneva, Geneva, Switzerland. remy.petkantchin@unige.ch. 914735 author Rousseau Alexandre Laboratory of Experimental Medicine (ULB222), Faculty of Medicine, Université libre de Bruxelles, CHU de Charleroi, Charleroi, Belgium. author Eker Omer Department of Neuroradiology, Hôpital Pierre Wertheimer, Hospices Civils de Lyon, Lyon, France.,CREATIS Laboratory, UMR 5220, U1206, Université Lyon, INSA-Lyon, Université Claude Bernard Lyon 1, UJM-Saint Etienne, CNRS, Inserm, Lyon, France. author Zouaoui Boudjeltia Karim Laboratory of Experimental Medicine (ULB222), Faculty of Medicine, Université libre de Bruxelles, CHU de Charleroi, Charleroi, Belgium. author Raynaud Franck Scientific and Parallel Computing Group, Computer Science Department, University of Geneva, Geneva, Switzerland.,Complex System Modeling Group, Computer Science Department, University of Geneva, Geneva, Switzerland. 910894 Département d'informatique (DINFO) author Chopard Bastien Scientific and Parallel Computing Group, Computer Science Department, University of Geneva, Geneva, Switzerland.,Complex System Modeling Group, Computer Science Department, University of Geneva, Geneva, Switzerland. 22320 Département d'informatique (DINFO) INSIST investigators 13681 10.1038/s41598-023-40973-1 37608073 2045-2322 PMC10444897 One of the routine clinical treatments to eliminate ischemic stroke thrombi is injecting a biochemical product into the patient's bloodstream, which breaks down the thrombi's fibrin fibers: intravenous or intravascular thrombolysis. However, this procedure is not without risk for the patient; the worst circumstances can cause a brain hemorrhage or embolism that can be fatal. Improvement in patient management drastically reduced these risks, and patients who benefited from thrombolysis soon after the onset of the stroke have a significantly better 3-month prognosis, but treatment success is highly variable. The causes of this variability remain unclear, and it is likely that some fundamental aspects still require thorough investigations. For that reason, we conducted in vitro flow-driven fibrinolysis experiments to study pure fibrin thrombi breakdown in controlled conditions and observed that the lysis front evolved non-linearly in time. To understand these results, we developed an analytical 1D lysis model in which the thrombus is considered a porous medium. The lytic cascade is reduced to a second-order reaction involving fibrin and a surrogate pro-fibrinolytic agent. The model was able to reproduce the observed lysis evolution under the assumptions of constant fluid velocity and lysis occurring only at the front. For adding complexity, such as clot heterogeneity or complex flow conditions, we propose a 3-dimensional mesoscopic numerical model of blood flow and fibrinolysis, which validates the analytical model's results. Such a numerical model could help us better understand the spatial evolution of the thrombi breakdown, extract the most relevant physiological parameters to lysis efficiency, and possibly explain the failure of the clinical treatment. These findings suggest that even though real-world fibrinolysis is a complex biological process, a simplified model can recover the main features of lysis evolution. Humans Fibrinolysis Fibrin Clot Lysis Time Fibrin Fibrinolytic Agents / pharmacology Administration, Intravenous Dewey 025.063 CHU Charleroi 32 Département d'informatique 18 false 728 Scientific and Parallel Computing Scientific reports 13 1 1d99a8a6-be97-4345-8d65-a65c9cdccce1 Article (Published version) Public Article-scientifique-from-unpaywall.pdf 2469679 application/pdf CC BY 3415ba16256c6266b93c067451107e09be0a5cbf41a21a28c5cf15d18e3ce071 913715fb-e333-43de-aff9-a84cc47261ca Appendix Public 41598_2023_40973_MOESM1_ESM.pdf 1041916 application/pdf a5f51ae559a339bb8f6913878d504f1dccf1877c521bdbd4984e263648aee7c9 openAccess Faculté des sciences / Département d'informatique

Title	Published in	Year	Views	Downloads

A simplified mesoscale 3D model for characterizing fibrinolysis under flow conditions	Scientific reports	2023	118	178
On the Benefits of Anticipating Load Imbalance for Performance Optimization of Parallel Applications	IEEE International Conference on Cluster Computing, CLUSTER 2019	2019	217	0

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