Key result
Among 7 tested models, a multiscale modelling framework identified that the most probable metabolic mechanism involves signalling factor production proportional to oxygen consumption.
Why the study?
The specific nature of local metabolic mechanisms governing regional myocardial perfusion and how parallel myogenic, neural/autonomic, and metabolic mechanisms co-ordinate oxygen delivery remain poorly defined.
A multiscale computational model of porcine coronary blood flow suggests that metabolic regulation of myocardial perfusion is driven by a signaling factor produced in proportion to oxygen consumption.
Identified metabolic feedback model warrants experimental validation; leaves open coordinated myogenic-neural-metabolic control of coronary flow.
Coronary blood flow is tightly regulated to ensure that myocardial oxygen delivery meets local metabolic demand via the concurrent action of myogenic, neural and metabolic mechanisms. Although several competing hypotheses exist, the specific nature of the local metabolic mechanism(s) remains poorly defined. To gain insights into the viability of putative metabolic feedback mechanisms and into the co-ordinated action of parallel regulatory mechanisms, we applied a multiscale modelling framework to analyse experimental data on coronary pressure, flow and myocardial oxygen delivery in the porcine heart in vivo. The modelling framework integrates a previously established lumped-parameter model of myocardial perfusion used to account for transmural haemodynamic variations and a simple vessel mechanics model used to simulate the vascular tone in each of three myocardial layers. Vascular tone in the resistance vessel mechanics model is governed by input stimuli from the myogenic, metabolic and autonomic control mechanisms. Seven competing formulations of the metabolic feedback mechanism are implemented in the modelling framework, and associated model simulations are compared with experimental data on coronary pressures and flows under a range of experimental conditions designed to interrogate the governing control mechanisms. Analysis identifies a maximally probable metabolic mechanism among the seven tested models, in which production of a metabolic signalling factor is proportional to myocardial oxygen consumption and delivery is proportional to flow. Finally, the identified model is validated based on comparisons of simulations with data on the myocardial perfusion response to conscious exercise that were not used for model identification. KEY POINTS: Although several competing hypotheses exist, we lack knowledge of specific nature of the metabolic mechanism(s) governing regional myocardial perfusion. Moreover, we lack an understanding of how parallel myogenic, adrenergic/autonomic and metabolic mechanisms work together to regulatory oxygen delivery in the beating heart. We have developed a multiscale modelling framework to test competing hypotheses against experimental data on coronary pressure, flow and myocardial oxygen delivery in the porcine heart in vivo. The analysis identifies a maximally probable metabolic mechanism among seven tested models, in which the production of a metabolic signalling factor is proportional to myocardial oxygen consumption and delivery is proportional to flow.
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A 2022 study studied Myocardial perfusion regulation. Multiscale modelling framework was evaluated on Identification of the maximally probable metabolic mechanism. Among 7 tested models, a multiscale modelling framework identified that the most probable metabolic mechanism involves signalling factor production proportional to oxygen consumption.
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