Literature DB >> 7864217

A model of combined feedforward and feedback control of coronary blood flow.

J K Miyashiro1, E O Feigl.   

Abstract

Recent evidence shows that norepinephrine affects coronary blood flow not only by alpha-receptor-mediated vasoconstriction and by feedback metabolic vasodilation that occurs as a result of myocardial beta-receptor activation, but also by the direct activation of coronary vascular beta-receptors that increase flow in a feedforward manner. The implications of combined feedforward and feedback control in maintaining the balance between metabolism and flow were investigated in the present mass balance model. Feedback was represented by a closed loop and was based on the hypothesis that the regulated variables are myocardial PO2 and PCO2 and that divergence of these variables from their operating point values functions as the metabolic error signals that manipulate coronary vascular smooth muscle and flow to match metabolism. alpha-Receptor-mediated vasoconstriction and beta-receptor-mediated vasodilation are represented by feedforward open loops that are activated simultaneously with increases in metabolism. The postulated control schemes of 1) metabolic feedback control alone, 2) feedback plus alpha- and beta-adrenergic feedforward control, and 3) feedback plus beta-adrenergic feedforward control were able to simulate the steady-state increase in coronary flow and the decrease in coronary venous PO2 that occurs during comparable experimental conditions. The simulations demonstrate that 1) the speed and accuracy of the flow response improve as beta-adrenergic feedforward control is added and alpha-adrenergic feedforward control is removed from the control scheme, 2) high feedback gain also improves the accuracy of the flow response, but the penalty is instability, and 3) a lag in alpha-adrenergic feedforward control improves the stability of the coronary response.

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Year:  1995        PMID: 7864217     DOI: 10.1152/ajpheart.1995.268.2.H895

Source DB:  PubMed          Journal:  Am J Physiol        ISSN: 0002-9513


  6 in total

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Authors:  Jerome Trzeciakowski; William M Chilian
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Review 2.  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

3.  Adenine nucleotide control of coronary blood flow during exercise.

Authors:  Mark W Gorman; G Alec Rooke; Margaret V Savage; M P Suresh Jayasekara; Kenneth A Jacobson; Eric O Feigl
Journal:  Am J Physiol Heart Circ Physiol       Date:  2010-09-17       Impact factor: 4.733

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

Authors:  Ranjan K Pradhan; Eric O Feigl; Mark W Gorman; George L Brengelmann; Daniel A Beard
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-04-01       Impact factor: 4.733

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.  A mathematical model of coronary blood flow control: simulation of patient-specific three-dimensional hemodynamics during exercise.

Authors:  Christopher J Arthurs; Kevin D Lau; Kaleab N Asrress; Simon R Redwood; C Alberto Figueroa
Journal:  Am J Physiol Heart Circ Physiol       Date:  2016-03-04       Impact factor: 4.733

  6 in total

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