Back

A Microstructurally-Motivated Framework to Study Autoregulation in the Coronary Circulation

Eden, M. J.; Gharahi, H.; Sturgess, V. E.; Uceda, D. E.; Baek, S.; Beard, D. A.; Tune, J. D.; Figueroa, C. A.

2025-12-05 physiology
10.64898/2025.12.02.691683 bioRxiv
Show abstract

Coronary autoregulation maintains relatively constant myocardial flow over a wide range of perfusion pressures through myogenic, shear-dependent, and metabolic control mechanisms. Understanding this phenomenon is challenging due to the coupled nature of these mechanisms and their heterogeneous effects throughout the coronary tree. In this study we developed a novel microstructurally-motivated model of coronary autoregulation based on constrained mixture theory, with anatomical and structural parameters calibrated through a homeostatic optimization framework. Autoregulation was simulated at three myocardial depths (subepicardium, midwall, and subendocardium), with the calibrated model accurately reproducing baseline hemodynamics and autoregulatory responses. For changes in epicardial pressure, our model reproduced experimentally measured subendocardium-to-subepicardium flow ratios (ENDO/EPI) and changes in vessel diameter, demonstrating its predictive capability. Furthermore, we extended Womersleys theory to simulate phasic coronary hemodynamics with a time-varying intramyocardial pressure. This microstructurally-motivated framework provides a mechanistic foundation for investigating coronary autoregulation and long-term vascular growth and remodeling in pathphysiological conditions. SummaryO_LICoronary autoregulation is defined as the capability of the coronary circulation to maintain the blood supply to the heart over a range of perfusion pressures. This phenomenon is facilitated through intrinsic mechanisms that control the vascular resistance by regulating the mechanical function of smooth muscle cells. Understanding the mechanisms involved in coronary autoregulation is one of the most fundamental questions in coronary physiology. C_LIO_LIThis paper presents a structurally-motivated coronary autoregulation model that uses a nonlinear continuum mechanics approach to account for the morphometry and vessel wall composition in two coronary trees in the subepicardial and subendocardial layers. C_LIO_LIThe model is calibrated against diverse experimental data from literature and is used to study heterogeneous autoregulatory response in the coronary trees. This model drastically differs from previous models, which relied on lumped parameter model formulations, and is suited to the study of long-term pathophysiological growth and remodeling phenomena in coronary vessels. C_LI

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

1
Biomechanics and Modeling in Mechanobiology
25 papers in training set
Top 0.1%
41.0%
2
PLOS Computational Biology
1633 papers in training set
Top 4%
8.8%
3
Frontiers in Physiology
93 papers in training set
Top 0.4%
7.1%
50% of probability mass above
4
PLOS ONE
4510 papers in training set
Top 35%
4.1%
5
Mathematical Biosciences
42 papers in training set
Top 0.2%
3.8%
6
Biological Cybernetics
12 papers in training set
Top 0.1%
2.2%
7
American Journal of Physiology-Heart and Circulatory Physiology
32 papers in training set
Top 0.4%
2.2%
8
Scientific Reports
3102 papers in training set
Top 49%
2.2%
9
Journal of The Royal Society Interface
189 papers in training set
Top 2%
2.0%
10
The Journal of Physiology
134 papers in training set
Top 0.7%
1.8%
11
Journal of the Mechanical Behavior of Biomedical Materials
22 papers in training set
Top 0.1%
1.8%
12
Bulletin of Mathematical Biology
84 papers in training set
Top 1%
1.7%
13
Mathematical Biosciences and Engineering
23 papers in training set
Top 0.4%
1.4%
14
International Journal for Numerical Methods in Biomedical Engineering
12 papers in training set
Top 0.2%
1.3%
15
Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences
15 papers in training set
Top 0.6%
1.2%
16
Biophysical Journal
545 papers in training set
Top 4%
1.0%
17
Physiological Reports
35 papers in training set
Top 0.9%
0.9%
18
Journal of Theoretical Biology
144 papers in training set
Top 2%
0.8%
19
iScience
1063 papers in training set
Top 30%
0.8%
20
IEEE Transactions on Medical Imaging
18 papers in training set
Top 0.5%
0.8%
21
eLife
5422 papers in training set
Top 58%
0.7%
22
Human Brain Mapping
295 papers in training set
Top 5%
0.7%
23
Journal of Biomechanics
57 papers in training set
Top 0.8%
0.7%
24
Computer Methods and Programs in Biomedicine
27 papers in training set
Top 1%
0.5%
25
Annals of Biomedical Engineering
34 papers in training set
Top 2%
0.5%
26
Interface Focus
14 papers in training set
Top 0.4%
0.5%
27
Journal of the American Heart Association
119 papers in training set
Top 4%
0.5%
28
Royal Society Open Science
193 papers in training set
Top 6%
0.5%