Key result
Computational growth and remodeling model accurately predicts arterial thickening and stiffening in aortic coarctation.
Why the study?
Coarctation-induced mechanical perturbations trigger mechano-transduction events causing irreversible hypertension precursors; this study sought to identify kinetics of this stress-mediated compensatory response using a preclinical model.
Do varying severities and durations of coarctation of the aorta predict arterial thickening, stiffening, and vasoactive dysfunction precursors to hypertension in a preclinical model?
Do varying severities and durations of coarctation of the aorta predict arterial thickening, stiffening, and vasoactive dysfunction precursors to hypertension in a preclinical model?
A validated computational growth and remodeling model can accurately predict precursors of hypertension, providing a tool to identify revised severity-duration thresholds for coarctation intervention.
Accurately predicts coarctation-induced arterial changes in rabbits; extends growth and remodeling frameworks while leaving clinical translation open.
Background: Coarctation of the aorta (CoA; constriction of the proximal descending thoracic aorta) is among the most common congenital cardiovascular defects. Coarctation-induced mechanical perturbations trigger a cycle of mechano-transduction events leading to irreversible precursors of hypertension including arterial thickening, stiffening, and vasoactive dysfunction in proximal conduit arteries. This study sought to identify kinetics of the stress-mediated compensatory response leading to these alterations using a preclinical rabbit model of CoA. Methods: A prior growth and remodeling (G&R) framework was reformulated and fit to empirical measurements from CoA rabbits classified into one control and nine CoA groups of various severities and durations (n = 63, 5–11/group). Empirical measurements included Doppler ultrasound imaging, uniaxial extension testing, catheter-based blood pressure, and wire myography, yielding the time evolution of arterial thickening, stiffening, and vasoactive dysfunction required to fit G&R constitutive parameters. Results: Excellent agreement was observed between model predictions and observed patterns of arterial thickening, stiffening, and dysfunction among all CoA groups. For example, predicted vascular impairment was not significantly different from empirical observations via wire myography (p-value > 0.13). Specifically, 48% and 45% impairment was observed in smooth muscle contraction and endothelial-dependent relaxation, respectively, which were accurately predicted using the G&R model. Conclusions: The resulting G&R model, for the first time, allows for prediction of hypertension precursors at neonatal ages that is currently challenging to examine in preclinical models. These findings provide a validated computational tool for prediction of persistent arterial dysfunction and identification of revised severity–duration thresholds that may ultimately avoid hypertension from CoA.
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Ghorbannia et al. (2023) studied Coarctation of the aorta (n=63). Coarctation of the aorta (CoA) vs. Control rabbits without coarctation was evaluated on Agreement between growth and remodeling model predictions and empirical observations of vascular impairment (p=>0.13). The formulated computational growth and remodeling model accurately predicted coarctation-induced arterial thickening, stiffening, and dysfunction, showing no significant difference from empirical observations (p>0.13).
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