Colocalization of Low and Oscillatory Coronary Wall Shear Stress With Subsequent Culprit Lesion Resulting in Myocardial Infarction in an Orthotopic Heart Transplant Patient

Timmins, Lucas H.; Mackie, Benjamin; Oshinski, John N.; Giddens, Don P.; Samady, Habib

doi:10.1016/j.jcin.2013.03.024

Cited by 6 publications

(3 citation statements)

References 3 publications

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“…Some researches declared that low WSS may decrease the long-term patency of the graft. (Corban et al, 2012;Davies and Civelek, 2011;Fan et al, 2014;Puri et al, 2015;Timmins et al, 2013) However, Fig.5 and Fig.6 indicate that the WSS on the graft in Model 1 is higher than that in Model 2. In Model 2, the area-averaged graft WSS is less than 0.4 Pa in most periods of the cardiac cycle.…”

Section: 13low Wss and High Osimentioning

confidence: 93%

Hemodynamics of the string phenomenon in the internal thoracic artery grafted to the left anterior descending artery with moderate stenosis

Zhao

Liu

et al. 2016

Journal of Biomechanics

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Section: 13low Wss and High Osimentioning

confidence: 93%

Hemodynamics of the string phenomenon in the internal thoracic artery grafted to the left anterior descending artery with moderate stenosis

Zhao

Liu

et al. 2016

Journal of Biomechanics

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“…low and oscillatory wall shear stresses due to regional fluid dynamics, which can be determined using computational fluid dynamics (CFD) (101). Timmins et al (102) calculated the wall shear stresses by generating 3D coronary reconstructed geometry from a patient's 7-year post-transplant angiograms (when the patient did not have significant CAV) and performed computational fluid dynamics (CFD) simulation on the 3D model. The simulations were able to identify regions of low velocity of blood flow and hence low wall shear stresses.…”

Section: Integration Of Imaging and Computational Analysismentioning

confidence: 99%

Diagnosis of cardiac allograft vasculopathy Challenges and opportunities

et al. 2017

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Cardiac allograft vasculopathy (CAV) is one of the most common long-term complications in patients following heart transplantation. Because of its irreversible nature, early detection is essential to impact progression. Thus, imaging techniques play a crucial role in the diagnosis and subsequent treatment. Major advancements in imaging and analysis are required to overcome the limitations of current techniques. Coronary angiography which is the standard method, presents low sensitivity in detection, especially at an early stage. Intravascular ultrasonography is a more reliable alternative but is limited to the epicardial vessels. Novel non-invasive techniques, such as stress echocardiography and nuclear imaging, have been introduced but not without limitations. Here, we review various imaging methods and associated analyses to improve diagnostic predictions. We discuss recent advances in the diagnosis of coronary artery disease and their potential translation in the diagnosis of CAV. Additionally, we present potential biomarkers that have been identified for CAV. Finally, we provide a discussion on microvessels with novel anticoagulant properties that are mostly identified in patients with severe CAV.

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“…Computational models have been successfully applied to a broad spectrum of complex pathologies ( Barh et al, 2014 ), including cardiac and vascular diseases ( Corti et al, 2021 ). However, to the best of the authors’ knowledge, CAV has been under-investigated through in silico approaches, with previous studies mainly applying computational fluid dynamics (CFD) to elucidate the role of blood flow dynamics ( Timmins et al, 2013 ; Timmins et al, 2015 ).…”

Section: Introductionmentioning

confidence: 99%

An agent-based model of cardiac allograft vasculopathy: toward a better understanding of chronic rejection dynamics

Serafini,

Corti,

Gallo

et al. 2023

Front. Bioeng. Biotechnol.

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Cardiac allograft vasculopathy (CAV) is a coronary artery disease affecting 50% of heart transplant (HTx) recipients, and it is the major cause of graft loss. CAV is driven by the interplay of immunological and non-immunological factors, setting off a cascade of events promoting endothelial damage and vascular dysfunction. The etiology and evolution of tissue pathology are largely unknown, making disease management challenging. So far, in vivo models, mostly mouse-based, have been widely used to study CAV, but they are resource-consuming, pose many ethical issues, and allow limited investigation of time points and important biomechanical measurements. Recently, agent-based models (ABMs) proved to be valid computational tools for deciphering mechanobiological mechanisms driving vascular adaptation processes at the cell/tissue level, augmenting cost-effective in vivo lab-based experiments, at the same time guaranteeing richness in observation time points and low consumption of resources. We hypothesize that integrating ABMs with lab-based experiments can aid in vivo research by overcoming those limitations. Accordingly, this work proposes a bidimensional ABM of CAV in a mouse coronary artery cross-section, simulating the arterial wall response to two distinct stimuli: inflammation and hemodynamic disturbances, the latter considered in terms of low wall shear stress (WSS). These stimuli trigger i) inflammatory cell activation and ii) exacerbated vascular cell activities. Moreover, an extensive analysis was performed to investigate the ABM sensitivity to the driving parameters and inputs and gain insights into the ABM working mechanisms. The ABM was able to effectively replicate a 4-week CAV initiation and progression, characterized by lumen area decrease due to progressive intimal thickening in regions exposed to high inflammation and low WSS. Moreover, the parameter and input sensitivity analysis highlighted that the inflammatory-related events rather than the WSS predominantly drive CAV, corroborating the inflammatory nature of the vasculopathy. The proof-of-concept model proposed herein demonstrated its potential in deepening the pathology knowledge and supporting the in vivo analysis of CAV.

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Colocalization of Low and Oscillatory Coronary Wall Shear Stress With Subsequent Culprit Lesion Resulting in Myocardial Infarction in an Orthotopic Heart Transplant Patient

Cited by 6 publications

References 3 publications

Hemodynamics of the string phenomenon in the internal thoracic artery grafted to the left anterior descending artery with moderate stenosis

Hemodynamics of the string phenomenon in the internal thoracic artery grafted to the left anterior descending artery with moderate stenosis

Diagnosis of cardiac allograft vasculopathy Challenges and opportunities

An agent-based model of cardiac allograft vasculopathy: toward a better understanding of chronic rejection dynamics

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