Literature DB >> 27037372

Open-loop (feed-forward) and feedback control of coronary blood flow during exercise, cardiac pacing, and pressure changes.

Ranjan K Pradhan1, Eric O Feigl2, Mark W Gorman2, George L Brengelmann2, Daniel A Beard3.   

Abstract

A control system model was developed to analyze data on in vivo coronary blood flow regulation and to probe how different mechanisms work together to control coronary flow from rest to exercise, and under a variety of experimental conditions, including cardiac pacing and with changes in coronary arterial pressure (autoregulation). In the model coronary flow is determined by the combined action of a feedback pathway signal that is determined by the level of plasma ATP in coronary venous blood, an adrenergic open-loop (feed-forward) signal that increases with exercise, and a contribution of pressure-mediated myogenic control. The model was identified based on data from exercise experiments where myocardial oxygen extraction, coronary flow, cardiac interstitial norepinephrine concentration, and arterial and coronary venous plasma ATP concentrations were measured during control and during adrenergic and purinergic receptor blockade conditions. The identified model was used to quantify the relative contributions of open-loop and feedback pathways and to illustrate the degree of redundancy in the control of coronary flow. The results indicate that the adrenergic open-loop control component is responsible for most of the increase in coronary blood flow that occurs during high levels of exercise. However, the adenine nucleotide-mediated metabolic feedback control component is essential. The model was evaluated by predicting coronary flow in cardiac pacing and autoregulation experiments with reasonable fits to the data. The analysis shows that a model in which coronary venous plasma adenine nucleotides are a signal in local metabolic feedback control of coronary flow is consistent with the available data.
Copyright © 2016 the American Physiological Society.

Entities:  

Keywords:  autoregulation; cardiac pacing; coronary blood flow; feedback control; myogenic control; open-loop (feed-forward) control; oxygen mass balance

Mesh:

Year:  2016        PMID: 27037372      PMCID: PMC4935508          DOI: 10.1152/ajpheart.00663.2015

Source DB:  PubMed          Journal:  Am J Physiol Heart Circ Physiol        ISSN: 0363-6135            Impact factor:   4.733


  39 in total

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Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-11-24       Impact factor: 4.733

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Journal:  Am J Physiol Heart Circ Physiol       Date:  2004-12-22       Impact factor: 4.733

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Journal:  Circ Res       Date:  1993-08       Impact factor: 17.367

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Journal:  Am J Physiol Heart Circ Physiol       Date:  2003-05-22       Impact factor: 4.733

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  6 in total

Review 1.  Regulation of Coronary Blood Flow.

Authors:  Adam G Goodwill; Gregory M Dick; Alexander M Kiel; Johnathan D Tune
Journal:  Compr Physiol       Date:  2017-03-16       Impact factor: 9.090

Review 2.  Disentangling the Gordian knot of local metabolic control of coronary blood flow.

Authors:  Johnathan D Tune; Adam G Goodwill; Alexander M Kiel; Hana E Baker; Shawn B Bender; Daphne Merkus; Dirk J Duncker
Journal:  Am J Physiol Heart Circ Physiol       Date:  2019-11-08       Impact factor: 4.733

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

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Journal:  J Physiol       Date:  2022-03-06       Impact factor: 6.228

Review 4.  Coronary arterial vasculature in the pathophysiology of hypertrophic cardiomyopathy.

Authors:  Richard J Marszalek; R John Solaro; Beata M Wolska
Journal:  Pflugers Arch       Date:  2018-10-29       Impact factor: 3.657

Review 5.  Overview of mathematical modeling of myocardial blood flow regulation.

Authors:  Ravi Namani; Yoram Lanir; Lik Chuan Lee; Ghassan S Kassab
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-03-06       Impact factor: 4.733

6.  Integrative model of coronary flow in anatomically based vasculature under myogenic, shear, and metabolic regulation.

Authors:  Ravi Namani; Ghassan S Kassab; Yoram Lanir
Journal:  J Gen Physiol       Date:  2017-12-01       Impact factor: 4.086

  6 in total

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