Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model

Atherosclerosis is a multifactorial disease that affects large arteries and causes much morbidity and mortality worldwide. Despite ongoing research for several decades, it is still a global health problem that cannot be stopped and cured completely. Furthermore, the development of this disease is co...

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Main Authors: Agnieszka Rybarczyk, Dorota Formanowicz, Marcin Radom, Piotr Formanowicz
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/10/6149
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author Agnieszka Rybarczyk
Dorota Formanowicz
Marcin Radom
Piotr Formanowicz
author_facet Agnieszka Rybarczyk
Dorota Formanowicz
Marcin Radom
Piotr Formanowicz
author_sort Agnieszka Rybarczyk
collection DOAJ
description Atherosclerosis is a multifactorial disease that affects large arteries and causes much morbidity and mortality worldwide. Despite ongoing research for several decades, it is still a global health problem that cannot be stopped and cured completely. Furthermore, the development of this disease is contributed to by various processes, primarily disturbances in cholesterol metabolism, local low-grade inflammation, and oxidative stress, resulting in the formation of atherosclerotic plaques. In this work, a stochastic Petri net model was constructed and subsequently analyzed to examine the impact of these factors on the development and progression of atherosclerosis. The use of knockout- and simulation-based analysis allowed for a comprehensive investigation of the studied phenomena. Our research has demonstrated that while cholesterol is a contributing factor in atherosclerosis, blocking its impact alone is insufficient in halting the progression of this disorder. Inhibition of oxidative stress is also important when blocking the impact of phosphoprotein phosphatase inhibitor-1 (PPI-1), microsomal triglyceride transfer protein (MTTP), and 3-hydroxy-3-methyl-glutaryl coenzyme A reductase (HMGCR), as our model shows that this action reduces the number of foam cells underlying atherosclerosis. The results obtained further support the previous observations that the combined treatment is significantly effective in enhancing therapeutic efficacy against atherosclerosis.
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spelling doaj.art-10ad3a026c2141d48de1f6220946a6532023-11-18T00:21:14ZengMDPI AGApplied Sciences2076-34172023-05-011310614910.3390/app13106149Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based ModelAgnieszka Rybarczyk0Dorota Formanowicz1Marcin Radom2Piotr Formanowicz3Institute of Computing Science, Poznan University of Technology, 60-695 Poznan, PolandDepartment of Medical Chemistry and Laboratory Medicine, Poznan University of Medical Sciences, 60-806 Poznan, PolandInstitute of Computing Science, Poznan University of Technology, 60-695 Poznan, PolandInstitute of Computing Science, Poznan University of Technology, 60-695 Poznan, PolandAtherosclerosis is a multifactorial disease that affects large arteries and causes much morbidity and mortality worldwide. Despite ongoing research for several decades, it is still a global health problem that cannot be stopped and cured completely. Furthermore, the development of this disease is contributed to by various processes, primarily disturbances in cholesterol metabolism, local low-grade inflammation, and oxidative stress, resulting in the formation of atherosclerotic plaques. In this work, a stochastic Petri net model was constructed and subsequently analyzed to examine the impact of these factors on the development and progression of atherosclerosis. The use of knockout- and simulation-based analysis allowed for a comprehensive investigation of the studied phenomena. Our research has demonstrated that while cholesterol is a contributing factor in atherosclerosis, blocking its impact alone is insufficient in halting the progression of this disorder. Inhibition of oxidative stress is also important when blocking the impact of phosphoprotein phosphatase inhibitor-1 (PPI-1), microsomal triglyceride transfer protein (MTTP), and 3-hydroxy-3-methyl-glutaryl coenzyme A reductase (HMGCR), as our model shows that this action reduces the number of foam cells underlying atherosclerosis. The results obtained further support the previous observations that the combined treatment is significantly effective in enhancing therapeutic efficacy against atherosclerosis.https://www.mdpi.com/2076-3417/13/10/6149cholesterol metabolismatherosclerosismathematical modelingPetri netsstochastic Petri nets
spellingShingle Agnieszka Rybarczyk
Dorota Formanowicz
Marcin Radom
Piotr Formanowicz
Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
Applied Sciences
cholesterol metabolism
atherosclerosis
mathematical modeling
Petri nets
stochastic Petri nets
title Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
title_full Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
title_fullStr Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
title_full_unstemmed Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
title_short Cholesterol Metabolism Pathways Disturbances in Atherosclerosis—Analyses Using Stochastic Petri Net-Based Model
title_sort cholesterol metabolism pathways disturbances in atherosclerosis analyses using stochastic petri net based model
topic cholesterol metabolism
atherosclerosis
mathematical modeling
Petri nets
stochastic Petri nets
url https://www.mdpi.com/2076-3417/13/10/6149
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AT dorotaformanowicz cholesterolmetabolismpathwaysdisturbancesinatherosclerosisanalysesusingstochasticpetrinetbasedmodel
AT marcinradom cholesterolmetabolismpathwaysdisturbancesinatherosclerosisanalysesusingstochasticpetrinetbasedmodel
AT piotrformanowicz cholesterolmetabolismpathwaysdisturbancesinatherosclerosisanalysesusingstochasticpetrinetbasedmodel