153672 20251017144611.0 doi 10.3389/fbioe.2025.1549104 sideral 143755 ART-2025-143755 eng Caballero, Ricardo Universidad de Zaragoza Fully coupled hybrid in-silico modeling of atherosclerosis: A multi-scale framework integrating CFD, transport phenomena and agent-based modeling 2025 Access copy available to the general public Unrestricted Introduction: Atherosclerosis is a complex disease influenced by biological and mechanical factors, leading to plaque formation within arterial walls. Understanding the interplay between hemodynamics, cellular interactions, and biochemical transport is crucial for predicting disease progression and evaluating therapeutic strategies. Methods: We developed a hybrid in-silico model integrating computational fluid dynamics (CFD), mass transport, and agent-based modeling to simulate plaque progression in coronary arteries. The model incorporates key factors such as wall shear stress (WSS), low-density lipoprotein (LDL) filtration, and the interaction between smooth muscle cells (SMCs), cytokines, and extracellular matrix (ECM). Results: Our simulations demonstrate that the integration of CFD, transport phenomena, and agent-based modeling provides a comprehensive framework for predicting atherosclerotic plaque growth. The model successfully captures the mechanobiological interactions driving plaque development and suggests potential mechanisms underlying lesion progression. Discussion: The proposed methodology establishes a foundation for developing computational platforms to test therapeutic interventions, such as anti-inflammatory drugs and lipid-lowering agents, under patient-specific conditions. These findings highlight the potential of hybrid multi-scale in-silico models to advance the understanding of atherosclerosis and support the development of personalized treatment strategies. nfo:eu-repo/grantAgreement/ES/AEI/PID2022-140219OB-I00 info:eu-repo/grantAgreement/ES/MICINN PRE2020-095671 info:eu-repo/semantics/openAccess by https://creativecommons.org/licenses/by/4.0/deed.es info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion Martínez, Miguel Ángel Universidad de Zaragoza (orcid)0000-0002-8375-0354 Peña, Estefanía Universidad de Zaragoza (orcid)0000-0002-0664-5024 5004 605 Universidad de Zaragoza Dpto. Ingeniería Mecánica Área Mec.Med.Cont. y Teor.Est. 13 (2025), 1549104 [22 pp.] Front. Bioeng. Biotechnol. Frontiers in Bioengineering and Biotechnology 2296-4185 5152256 http://zaguan.unizar.es/record/153672/files/texto_completo.pdf Versión publicada 1780465 http://zaguan.unizar.es/record/153672/files/texto_completo.jpg?subformat=icon icon Versión publicada oai:zaguan.unizar.es:153672 articulos driver 2025-10-17-14:17:25 ARTICLE