Literature DB >> 23504178

Patient-specific computational modeling of subendothelial LDL accumulation in a stenosed right coronary artery: effect of hemodynamic and biological factors.

Antonis I Sakellarios1, Michail I Papafaklis, Panagiotis Siogkas, Lambros S Athanasiou, Themistoklis P Exarchos, Konstantinos Stefanou, Christos V Bourantas, Katerina K Naka, Lampros K Michalis, Oberdan Parodi, Dimitrios I Fotiadis.   

Abstract

Atherosclerosis is a systemic disease with local manifestations. Low-density lipoprotein (LDL) accumulation in the subendothelial layer is one of the hallmarks of atherosclerosis onset and ignites plaque development and progression. Blood flow-induced endothelial shear stress (ESS) is causally related to the heterogenic distribution of atherosclerotic lesions and critically affects LDL deposition in the vessel wall. In this work we modeled blood flow and LDL transport in the coronary arterial wall and investigated the influence of several hemodynamic and biological factors that may regulate LDL accumulation. We used a three-dimensional model of a stenosed right coronary artery reconstructed from angiographic and intravascular ultrasound patient data. We also reconstructed a second model after restoring the patency of the stenosed lumen to its nondiseased state to assess the effect of the stenosis on LDL accumulation. Furthermore, we implemented a new model for LDL penetration across the endothelial membrane, assuming that endothelial permeability depends on the local lumen LDL concentration. The results showed that the presence of the stenosis had a dramatic effect on the local ESS distribution and LDL accumulation along the artery, and areas of increased LDL accumulation were observed in the downstream region where flow recirculation and low ESS were present. Of the studied factors influencing LDL accumulation, 1) hypertension, 2) increased endothelial permeability (a surrogate of endothelial dysfunction), and 3) increased serum LDL levels, especially when the new model of variable endothelial permeability was applied, had the largest effects, thereby supporting their role as major cardiovascular risk factors.

Entities:  

Keywords:  atherosclerosis; endothelial permeability; low-density lipoprotein transport; patient-specific simulations; risk factors; shear stress

Mesh:

Substances:

Year:  2013        PMID: 23504178     DOI: 10.1152/ajpheart.00539.2012

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  6 in total

1.  Mass transport of low density lipoprotein in reconstructed hemodynamic environments of human carotid arteries: the role of volume and solute flux through the endothelium.

Authors:  Sungho Kim; Don P Giddens
Journal:  J Biomech Eng       Date:  2015-02-11       Impact factor: 2.097

Review 2.  Blood Brothers: Hemodynamics and Cell-Matrix Interactions in Endothelial Function.

Authors:  Arif Yurdagul; A Wayne Orr
Journal:  Antioxid Redox Signal       Date:  2016-02-19       Impact factor: 8.401

3.  Fluid Dynamics-Derived Parameters in Coronary Vessels.

Authors:  Panagiotis K Siogkas; Georgios-Eleftherios Kalykakis; Constantinos D Anagnostopoulos; Themis P Exarchos
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

4.  Simulation of atherosclerotic plaque growth using computational biomechanics and patient-specific data.

Authors:  Dimitrios S Pleouras; Antonis I Sakellarios; Panagiota Tsompou; Vassiliki Kigka; Savvas Kyriakidis; Silvia Rocchiccioli; Danilo Neglia; Juhani Knuuti; Gualtiero Pelosi; Lampros K Michalis; Dimitrios I Fotiadis
Journal:  Sci Rep       Date:  2020-10-15       Impact factor: 4.379

5.  Using a Systems Pharmacology Approach to Study the Effect of Statins on the Early Stage of Atherosclerosis in Humans.

Authors:  C Pichardo-Almarza; L Metcalf; A Finkelstein; V Diaz-Zuccarini
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-12-30

Review 6.  Understanding the Causes and Implications of Endothelial Metabolic Variation in Cardiovascular Disease through Genome-Scale Metabolic Modeling.

Authors:  Sarah McGarrity; Haraldur Halldórsson; Sirus Palsson; Pär I Johansson; Óttar Rolfsson
Journal:  Front Cardiovasc Med       Date:  2016-04-18
  6 in total

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