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Talk abstract:
A new cardiac sodium channel Markov model for describing drug action
Lisa Irvine, Johns Hopkins University
Several hypotheses of antiarrhythmic drug action have been proposed, but
none provide a detailed quantitative description of drug effects on the cardiac
sodium channel. The most widely accepted of these hypotheses is the modulated
receptor hypothesis which states drug binds with different affinities to the
resting, activated, and inactivated channel states. Using this hypothesis, we
built a quantitative model of drug action on the cardiac sodium channel
patterned after that of Hondeghem and Katzung (Biochim. Biophys. Acta
472: 373--98). The model is unable to reproduce
experimental data at multiple
drug concentrations including the dose-response curve. We suggest that the
model fails because it seeks only to represent phenomenologically a drug's
effect instead of the mechanism by which the effect is generated.
A better model of antiarrhythmic drug action on the cardiac sodium channel
would be more biophysically-detailed and would describe how drug binds to the
channel and interacts with its gates. Building such a drug model requires the
development of a biophysically-detailed cardiac sodium channel model. We have
constructed a new Markov model of the cardiac sodium channel that not only is
an improvement over existing Markov models, but is an improvement over existing
Hodgkin-Huxley models as well. This model forms the basis of a model of
lidocaine's action. Drug effect is the result of non-drug-bound channels
gating as above and drug-bound channels gating with modified kinetics.
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