Evidence map›Paper›PMID 42303295›Full record

ArticleThe Journal of physiology2026

A microstructurally motivated framework to study autoregulation in the coronary circulation.

Matthew J Eden, Hamidreza Gharahi, Victoria E Sturgess, Domingo E Uceda, Gregory M Dick, Seungik Baek, Daniel A Beard, Johnathan D Tune, C Alberto Figueroa

Abstract read
In one paragraph

Article in The Journal of physiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Matthew J EdenDepartment of Surgery, Section of Vascular Surgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-9409-8974
Hamidreza GharahiDepartment of Surgery, Section of Vascular Surgery, University of Michigan, Ann Arbor, Michigan, USA.
Victoria E SturgessDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-7413-8657
Domingo E UcedaDepartment of Surgery, Section of Vascular Surgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0001-9916-8898
Gregory M DickDepartment of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, USA.ORCID https://orcid.org/0000-0003-1444-6436
Seungik BaekDepartment of Mechanical Engineering, Michigan State University, East Lansing, Michigan, USA.ORCID https://orcid.org/0000-0003-2007-339X
Daniel A BeardDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0003-0974-2353
Johnathan D TuneDepartment of Physiology and Anatomy, University of North Texas Health Science Center, Fort Worth, Texas, USA.ORCID https://orcid.org/0000-0003-2959-0801
C Alberto FigueroaDepartment of Surgery, Section of Vascular Surgery, University of Michigan, Ann Arbor, Michigan, USA.ORCID https://orcid.org/0000-0002-3934-6506

Funding

Disentangling the Mechanisms of Coronary Blood Flow Regulation through Multi-scale ModelingR01HL158723 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A, FIGUEROA, CARLOS ALBERTO · 2022 to 2025
$2.7M
Image-based Multi-scale Modeling Framework of the Cardiopulmonary System: Longitudinal Calibration and Assessment of Therapies in Pediatric Pulmonary HypertensionU01HL135842 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BAEK, SEUNGIK, DORFMAN, ADAM LEE · 2017 to 2020
$2.3M
Multi-scale systems analysis of blood pressure control and hypertensionR01HL139813 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BEARD, DANIEL A · 2018 to 2021
$2.0M
NHLBI NIH HHS R01 HL139813NHLBI NIH HHS R01 HL158723NHLBI NIH HHS U01 HL135842NIH HHS R01-HL139813NIH HHS R01-HL158723NIH HHS U01-HL135842
6 · The paper itself

Abstract

Coronary autoregulation maintains relatively constant myocardial blood 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 framework to study coronary autoregulation based on constrained mixture theory. The framework simulates autoregulation at three myocardial depths (subepicardium, midwall and subendocardium), calibrated using extensive literature data. Coronary trees at each myocardial depth are constructed via a homeostatic optimization approach to determine morphological and haemodynamic characteristics. Each vessel is endowed with passive and active mechanical properties, governed by a microstructurally motivated wall model. Autoregulatory stimuli from myogenic, metabolic and shear-dependent mechanisms modulate vascular smooth muscle tone, enabling the framework to reproduce autoregulatory responses, experimentally measured transmural flow ratios and vessel diameter changes with variations in perfusion pressure. The framework also incorporates phasic dynamics by extending Womersley's theory to account for time-varying intramyocardial pressures, successfully capturing key features of coronary flow waveforms. Sensitivity analysis highlights metabolic mechanisms as primary contributors to autoregulatory function, with the myogenic response playing an important role and shear-dependent control having minimal contribution. Additionally, the framework demonstrates how changes in vessel microstructure (e.g. collagen stiffening or impaired smooth muscle contractility) affect autoregulatory capacity, providing mechanistic insight into pathophysiological states. This microstructurally motivated framework offers a novel approach for hypothesis testing in coronary autoregulation while providing a unified platform for describing processes spanning short-term tone regulation and long-term vascular remodelling. KEY POINTS: Coronary 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 function of smooth muscle cells. This paper presents a microstructurally motivated coronary autoregulation framework that uses a non-linear continuum mechanics approach to account for the morphometry and vessel wall composition in three coronary trees in the subepicardial, midwall and subendocardial layers of the myocardium. The model is calibrated against diverse experimental data from the literature and is used to study heterogeneous autoregulatory response in the coronary trees. This model drastically differs from previous models and is suited to the study of long-term pathophysiological growth and remodelling phenomena in coronary vessels.

Indexed as

Coronary CirculationCoronary VesselsHomeostasisModels, CardiovascularAnimalsHumansMuscle, Smooth, Vascularcardiovascular regulationcomputational modellingconstrained mixture theorycoronary physiologyhomeostatic optimization

Identifiers

PMID42303295
PMCPMC13370741

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.