Document Type
Article
Publication Date
2026
DOI
10.1038/s41598-026-47753-7
Publication Title
Scientific Reports
Volume
Advance online publication
Pages
49 pp.
Abstract
Coarctation of the aorta (CoA) alters hemodynamics and drives regional remodeling, yet the influence of severity and duration on constitutive properties is undefined. We quantified mechanical responses from CoA to identify constitutive parameters capturing stiffening across clinical severities and durations. Mild (≤ 12 mmHg), intermediate (13–20 mmHg), and severe (> 20 mmHg) CoA was created in rabbits for short, long, and prolonged durations (~ 1, 3, or 22 weeks, respectively). Stress–stretch curves from proximal and distal regions were fit with multiple constitutive models (Linear Elastic, Neo-Hookean, Yeoh, Ogden, Mooney–Rivlin, Holzapfel). Model performance was evaluated by normalized RMSE and R², with reproducibility assessed using bootstrap stability of strain energy–parameter coupling. Deterministic models were compared with multi-parameter hyperelastic formulations. Marked stiffening presented proximally for several CoA severities and durations, but was limited to pronounced sustained CoA distally. Yeoh provided reliable coupling between parameters and strain energy, whereas Holzapfel–Isotropic best captured nonlinear stress–stretch behavior. Within physiological ranges, linear elastic and Yeoh fits approximated stiffness effectively. Severity and duration were significant predictors of stiffening, consistent with findings linking these CoA features to hypertension. Yeoh and linear elastic model parameters are suitable as simplified CoA markers of induced proximal stiffening, while complex formulations capture full nonlinear behavior. These parameters align clinically with proximal remodeling and reduced compliance. They may ultimately inform risk stratification including intervention timing thresholds, as well as growth-and-remodeling and AI-based temporal approaches to forecast irreversible stiffening for personalized intervention with CoA patients.
Rights
© The Authors 2026.
This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if you modified the licensed material. You do not have permission under this license to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
Data Availability
Article states: "The source code for constitutive model fitting and material characterization analyses is openly available at https://github.com/aghcv/MaterialTesting. The experimental input data supporting the findings of this study can be made available from the corresponding author upon reasonable request."
Original Publication Citation
Ghorbannia, A., Azarnoosh, J., & LaDisa, J. F., Jr. (2026). Severity and duration-dependent aortic stiffening in a rabbit coarctation model identifies constitutive material parameters as promising regional biomarkers for hypertension progression. Scientific Reports. Advance online publication. https://doi.org/10.1038/s41598-026-47753-7
ORCID
0000-0001-5069-562X (Ghorbannia)
Repository Citation
Ghorbannia, Arash; Azarnoosh, Jamasp; and LaDisa, John F. Jr., "Severity and Duration-Dependent Aortic Stiffening in a Rabbit Coarctation Model Identifies Constitutive Material Parameters as Promising Regional Biomarkers for Hypertension Progression" (2026). VMASC Publications. 160.
https://digitalcommons.odu.edu/vmasc_pubs/160
Supplementary Material 1