Evidence map›Paper›PMID 35156733›Full record

ArticleThe Journal of physiology2022

Multiscale model of the physiological control of myocardial perfusion to delineate putative metabolic feedback mechanisms.

Hamidreza Gharahi, C Alberto Figueroa, Johnathan D Tune, Daniel A Beard

Abstract read
In one paragraph

Article in The Journal of physiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Unraveling the Gordian knot of coronary pressure-flow autoregulation.Journal of molecular and cellular cardiology · 2024
    Review
  6. Article
  7. Article
  8. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Hamidreza GharahiSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
C Alberto FigueroaSection of Vascular Surgery, Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Johnathan D TuneDepartment of Physiology and Anatomy, University of North Texas Health Sciences Center, Fort Worth, TX, USA.
Daniel A BeardDepartment of Molecular and Integrative Physiology, University of Michigan, Ann Arbor, MI, USA.ORCID 0000-0003-0974-2353

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
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 HL158723
6 · The paper itself

Abstract

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.

Indexed as

Coronary CirculationHemodynamicsAnimalsFeedbackMyocardiumOxygenOxygen ConsumptionPerfusionSwineOxygencoronary blood flowmetabolic controlmyocardial perfusionmyogenic controloxygen transport

Identifiers

PMID35156733
PMCPMC9019727

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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.