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Modeling ß1-adrenergic receptor blockers and polymorphisms in cardiac myocytes

Presented by: 
J Saucerman [Virginia]
Date: 
Monday 20th July 2009 - 11:30 to 11:45
Venue: 
INI Seminar Room 1
Session Title: 
Cellular and sub-cellular Modelling 2
Session Chair: 
Mark Boyett
Abstract: 

Modeling β1¬-adrenergic receptor blockers and polymorphisms in cardiac myocytes

Robert Amanfu, Ryan Connolly, Sean Meredith, and Jeff Saucerman

β-blockers are the one of the most effective medications for heart failure. But their success appears counterintuitive because they block the β1-adrenergic signaling pathway in cardiac myocytes, which enhances cardiac contractility. To evaluate mechanisms of β-blocker efficacy, we extended our cardiac myocyte β1-adrenergic signaling model using an extended ternary complex receptor model. This receptor model includes spontaneous switching between the active and inactive receptor conformations crucial for accurate representation of β-blockers and receptor polymorphisms. We determined parameters from the literature to model 11 agonists and 10 β-blockers and validated against a range of published experimental data. This new model predicts that at intermediate concentrations, β-blockers may protect the adrenergic pathway from chronic stress while paradoxically sensitizing the pathway to acute stress (like exercise). The Arg389 receptor polymorphism (prevalence ~50%) was predicted to constitutively stimulate calcium transients by 68%, which was restored to the activity of the wild type receptor by administration of 1 µM β-blocker (propranolol). Model predictions are being validated experimentally. These simulations are a first step towards evaluating personalized β-blocker therapies with computational models.

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Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute The Leverhulme Trust London Mathematical Society Microsoft Research NM Rothschild and Sons