A validated reduced-order dynamic model of nitric oxide regulation in coronary arteries

Moshfegh, Hossein; Tajeddini, Farshad; Pakravan, Hossein Ali; Mahzoon, Mojtaba; Yazdi, Ehsan Azadi; Drissi, Hamed Bazrafshan

doi:10.1016/j.compbiomed.2021.104958

Cited by 6 publications

(1 citation statement)

References 58 publications

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“…First, a reduced-order computational model was introduced to study the systematic delivery of NO in a coronary tree with multiple arterial branches, which simplified arteries through circuit connection of the resistor (R-represents the arterial resistance), inductor (L-represents the blood inertia), and capacitance (C-represents the compliance of the vessel). It was stated that abnormal NO delivery is associated with the damage of coronary arteries, which has potential to diagnose the occurrence of CVD [47]. Second, considering that endothelial NO production is highly associated with the mechanotransduction of wall shear stress (WSS), the group of Arzani analyzed WSS distribution in the lumen of arteries instead of directly calculating NO concentration [13,48].…”

Section: Diagnosing the Endothelial Function And Atherosclerosis Development Through Computational Modeling Of No Deliverymentioning

confidence: 99%

Delivery of Nitric Oxide in the Cardiovascular System: Implications for Clinical Diagnosis and Therapy

Zhang

Chen

et al. 2021

IJMS

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Nitric oxide (NO) is a key molecule in cardiovascular homeostasis and its abnormal delivery is highly associated with the occurrence and development of cardiovascular disease (CVD). The assessment and manipulation of NO delivery is crucial to the diagnosis and therapy of CVD, such as endothelial dysfunction, atherosclerotic progression, pulmonary hypertension, and cardiovascular manifestations of coronavirus (COVID-19). However, due to the low concentration and fast reaction characteristics of NO in the cardiovascular system, clinical applications centered on NO delivery are challenging. In this tutorial review, we first summarized the methods to estimate the in vivo NO delivery process, based on computational modeling and flow-mediated dilation, to assess endothelial function and vulnerability of atherosclerotic plaque. Then, emerging bioimaging technologies that have the potential to experimentally measure arterial NO concentration were discussed, including Raman spectroscopy and electrochemical sensors. In addition to diagnostic methods, therapies aimed at controlling NO delivery to regulate CVD were reviewed, including the NO release platform to treat endothelial dysfunction and atherosclerosis and inhaled NO therapy to treat pulmonary hypertension and COVID-19. Two potential methods to improve the effectiveness of existing NO therapy were also discussed, including the combination of NO release platform and computational modeling, and stem cell therapy, which currently remains at the laboratory stage but has clinical potential for the treatment of CVD.

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Section: Diagnosing the Endothelial Function And Atherosclerosis Development Through Computational Modeling Of No Deliverymentioning

confidence: 99%

Delivery of Nitric Oxide in the Cardiovascular System: Implications for Clinical Diagnosis and Therapy

Zhang

Chen

et al. 2021

IJMS

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Unraveling the complexity of vascular tone regulation: a multiscale computational approach to integrating chemo-mechano-biological pathways with cardiovascular biomechanics

Marino,

Sauty,

Vairo

2024

Biomech Model Mechanobiol

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Vascular tone regulation is a crucial aspect of cardiovascular physiology, with significant implications for overall cardiovascular health. However, the precise physiological mechanisms governing smooth muscle cell contraction and relaxation remain uncertain. The complexity of vascular tone regulation stems from its multiscale and multifactorial nature, involving global hemodynamics, local flow conditions, tissue mechanics, and biochemical pathways. Bridging this knowledge gap and translating it into clinical practice presents a challenge. In this paper, a computational model is presented to integrate chemo-mechano-biological pathways with cardiovascular biomechanics, aiming to unravel the intricacies of vascular tone regulation. The computational framework combines an algebraic description of global hemodynamics with detailed finite element analyses at the scale of vascular segments for describing their passive and active mechanical response, as well as the molecular transport problem linked with chemo-biological pathways triggered by wall shear stresses. Their coupling is accounted for by considering a two-way interaction. Specifically, the focus is on the role of nitric oxide-related molecular pathways, which play a critical role in modulating smooth muscle contraction and relaxation to maintain vascular tone. The computational framework is employed to examine the interplay between localized alterations in the biomechanical response of a specific vessel segment—such as those induced by calcifications or endothelial dysfunction–and the broader global hemodynamic conditions—both under basal and altered states. The proposed approach aims to advance our understanding of vascular tone regulation and its impact on cardiovascular health. By incorporating chemo-mechano-biological mechanisms into in silico models, this study allows us to investigate cardiovascular responses to multifactorial stimuli and incorporate the role of adaptive homeostasis in computational biomechanics frameworks.

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Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance

Feng,

Fu,

Sun

et al. 2024

Artificial Intelligence in Medicine

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A validated reduced-order dynamic model of nitric oxide regulation in coronary arteries

Cited by 6 publications

References 58 publications

Delivery of Nitric Oxide in the Cardiovascular System: Implications for Clinical Diagnosis and Therapy

Delivery of Nitric Oxide in the Cardiovascular System: Implications for Clinical Diagnosis and Therapy

Unraveling the complexity of vascular tone regulation: a multiscale computational approach to integrating chemo-mechano-biological pathways with cardiovascular biomechanics

Non-invasive fractional flow reserve derived from reduced-order coronary model and machine learning prediction of stenosis flow resistance

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