Literature DB >> 24867460

Modeling the effects of β1-adrenergic receptor blockers and polymorphisms on cardiac myocyte Ca2+ handling.

Robert K Amanfu1, Jeffrey J Saucerman2.   

Abstract

β-Adrenergic receptor blockers (β-blockers) are commonly used to treat heart failure, but the biologic mechanisms governing their efficacy are still poorly understood. The complexity of β-adrenergic signaling coupled with the influence of receptor polymorphisms makes it difficult to intuit the effect of β-blockers on cardiac physiology. While some studies indicate that β-blockers are efficacious by inhibiting β-adrenergic signaling, other studies suggest that they work by maintaining β-adrenergic responsiveness. Here, we use a systems pharmacology approach to test the hypothesis that in ventricular myocytes, these two apparently conflicting mechanisms for β-blocker efficacy can occur concurrently. We extended a computational model of the β(1)-adrenergic pathway and excitation-contraction coupling to include detailed receptor interactions for 19 ligands. Model predictions, validated with Ca(2+) and Förster resonance energy transfer imaging of adult rat ventricular myocytes, surprisingly suggest that β-blockers can both inhibit and maintain signaling depending on the magnitude of receptor stimulation. The balance of inhibition and maintenance of β(1)-adrenergic signaling is predicted to depend on the specific β-blocker (with greater responsiveness for metoprolol than carvedilol) and β(1)-adrenergic receptor Arg389Gly polymorphisms.
Copyright © 2014 by The American Society for Pharmacology and Experimental Therapeutics.

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Year:  2014        PMID: 24867460      PMCID: PMC4127930          DOI: 10.1124/mol.113.090951

Source DB:  PubMed          Journal:  Mol Pharmacol        ISSN: 0026-895X            Impact factor:   4.436


  47 in total

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4.  Real-time optical recording of beta1-adrenergic receptor activation reveals supersensitivity of the Arg389 variant to carvedilol.

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Journal:  J Clin Invest       Date:  2007-01       Impact factor: 14.808

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Journal:  Mol Pharmacol       Date:  2009-06-02       Impact factor: 4.436

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Review 6.  Recent developments in using mechanistic cardiac modelling for drug safety evaluation.

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10.  Dynamics of adrenergic signaling in cardiac myocytes and implications for pharmacological treatment.

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Journal:  J Theor Biol       Date:  2021-03-16       Impact factor: 2.691

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