Literature DB >> 16997895

Pharmacogenetics and anti-arrhythmic drug therapy: a theoretical investigation.

Colleen E Clancy1, Zheng I Zhu, Yoram Rudy.   

Abstract

Pharmacological management of cardiac arrhythmias has been a long and widely sought goal. One of the difficulties in treating arrhythmia stems, in part, from incomplete understanding of the mechanisms of drug block and how intrinsic properties of channel gating affect drug access, binding affinity, and unblock. In the last decade, a plethora of genetic information has revealed that genetics may play a critical role in determining arrhythmia susceptibility and in efficacy of pharmacological therapy. In this context, we present a theoretical approach for investigating effects of drug-channel interaction. We use as an example open-channel or inactivated-channel block by the local anesthetics mexiletine and lidocaine, respectively, of normal and DeltaKPQ mutant Na(+) channels associated with the long-QT syndrome type 3. Results show how kinetic properties of channel gating, which are affected by mutations, are important determinants of drug efficacy. Investigations of Na(+) channel blockade are conducted at multiple scales (single channel and macroscopic current) and, importantly, during the cardiac action potential (AP). Our findings suggest that channel mean open time is a primary determinant of open state blocker efficacy. Channels that remain in the open state longer, such as the DeltaKPQ mutant channels in the abnormal burst mode, are blocked preferentially by low mexiletine concentrations. AP simulations confirm that a low dose of mexiletine can remove early afterdepolarizations and restore normal repolarization without affecting the AP upstroke. The simulations also suggest that inactivation state block by lidocaine is less effective in restoring normal repolarization and adversely suppresses peak Na(+) current.

Entities:  

Mesh:

Substances:

Year:  2006        PMID: 16997895      PMCID: PMC2034498          DOI: 10.1152/ajpheart.00312.2006

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


  66 in total

1.  From mutation to clinical presentation: mechanisms in the black box.

Authors:  Zheng I Zhu; Colleen E Clancy
Journal:  J Mol Cell Cardiol       Date:  2005-06       Impact factor: 5.000

2.  A revised view of cardiac sodium channel "blockade" in the long-QT syndrome.

Authors:  N G Kambouris; H B Nuss; D C Johns; E Marbán; G F Tomaselli; J R Balser
Journal:  J Clin Invest       Date:  2000-04       Impact factor: 14.808

3.  Action potential and contractility changes in [Na(+)](i) overloaded cardiac myocytes: a simulation study.

Authors:  G M Faber; Y Rudy
Journal:  Biophys J       Date:  2000-05       Impact factor: 4.033

4.  Two distinct congenital arrhythmias evoked by a multidysfunctional Na(+) channel.

Authors:  M W Veldkamp; P C Viswanathan; C Bezzina; A Baartscheer; A A Wilde; J R Balser
Journal:  Circ Res       Date:  2000-05-12       Impact factor: 17.367

5.  Molecular pharmacology of the sodium channel mutation D1790G linked to the long-QT syndrome.

Authors:  H Abriel; X H Wehrens; J Benhorin; B Kerem; R S Kass
Journal:  Circulation       Date:  2000-08-22       Impact factor: 29.690

6.  Compound-specific Na+ channel pore conformational changes induced by local anaesthetics.

Authors:  Koji Fukuda; Tadashi Nakajima; Prakash C Viswanathan; Jeffrey R Balser
Journal:  J Physiol       Date:  2005-01-27       Impact factor: 5.182

7.  The elusive link between LQT3 and Brugada syndrome: the role of flecainide challenge.

Authors:  S G Priori; C Napolitano; P J Schwartz; R Bloise; L Crotti; E Ronchetti
Journal:  Circulation       Date:  2000-08-29       Impact factor: 29.690

8.  Spectrum and prevalence of cardiac sodium channel variants among black, white, Asian, and Hispanic individuals: implications for arrhythmogenic susceptibility and Brugada/long QT syndrome genetic testing.

Authors:  Michael J Ackerman; Igor Splawski; Jonathan C Makielski; David J Tester; Melissa L Will; Katherine W Timothy; Mark T Keating; Gregg Jones; Monica Chadha; Christopher R Burrow; J Claiborne Stephens; Chuanbo Xu; Richard Judson; Mark E Curran
Journal:  Heart Rhythm       Date:  2004-11       Impact factor: 6.343

9.  Genetic susceptibility to acquired long QT syndrome: pharmacologic challenge in first-degree relatives.

Authors:  Prince J Kannankeril; Dan M Roden; Kris J Norris; S Patrick Whalen; Alfred L George; Katherine T Murray
Journal:  Heart Rhythm       Date:  2005-02       Impact factor: 6.343

Review 10.  Specific therapy based on the genotype and cellular mechanism in inherited cardiac arrhythmias. Long QT syndrome and Brugada syndrome.

Authors:  Wataru Shimizu; Takeshi Aiba; Charles Antzelevitch
Journal:  Curr Pharm Des       Date:  2005       Impact factor: 3.116

View more
  44 in total

1.  Probing kinetic drug binding mechanism in voltage-gated sodium ion channel: open state versus inactive state blockers.

Authors:  Krishnendu Pal; Gautam Gangopadhyay
Journal:  Channels (Austin)       Date:  2015       Impact factor: 2.581

2.  Modeling subunit cooperativity in opening of tetrameric ion channels.

Authors:  Ali Nekouzadeh; Jonathan R Silva; Yoram Rudy
Journal:  Biophys J       Date:  2008-07-11       Impact factor: 4.033

3.  Re-evaluating the efficacy of beta-adrenergic agonists and antagonists in long QT-3 syndrome through computational modelling.

Authors:  Rebecca C Ahrens-Nicklas; Colleen E Clancy; David J Christini
Journal:  Cardiovasc Res       Date:  2009-03-05       Impact factor: 10.787

4.  In silico assessment of drug safety in human heart applied to late sodium current blockers.

Authors:  Beatriz Trenor; Julio Gomis-Tena; Karen Cardona; Lucia Romero; Sridharan Rajamani; Luiz Belardinelli; Wayne R Giles; Javier Saiz
Journal:  Channels (Austin)       Date:  2013 Jul-Aug       Impact factor: 2.581

5.  Revealing the Concealed Nature of Long-QT Type 3 Syndrome.

Authors:  Amara Greer-Short; Sharon A George; Steven Poelzing; Seth H Weinberg
Journal:  Circ Arrhythm Electrophysiol       Date:  2017-02

Review 6.  Models of cardiac excitation-contraction coupling in ventricular myocytes.

Authors:  George S B Williams; Gregory D Smith; Eric A Sobie; M Saleet Jafri
Journal:  Math Biosci       Date:  2010-03-25       Impact factor: 2.144

7.  Dynamical characterization of inactivation path in voltage-gated Na(+) ion channel by non-equilibrium response spectroscopy.

Authors:  Krishnendu Pal; Gautam Gangopadhyay
Journal:  Channels (Austin)       Date:  2016-07-01       Impact factor: 2.581

8.  A novel computational model of the human ventricular action potential and Ca transient.

Authors:  Eleonora Grandi; Francesco S Pasqualini; Donald M Bers
Journal:  J Mol Cell Cardiol       Date:  2009-10-14       Impact factor: 5.000

9.  Identification of Ikr kinetics and drug binding in native myocytes.

Authors:  Qinlian Zhou; Andrew C Zygmunt; Jonathan M Cordeiro; Fernando Siso-Nadal; Robert E Miller; Gregery T Buzzard; Jeffrey J Fox
Journal:  Ann Biomed Eng       Date:  2009-04-08       Impact factor: 3.934

Review 10.  Computational approaches to understand cardiac electrophysiology and arrhythmias.

Authors:  Byron N Roberts; Pei-Chi Yang; Steven B Behrens; Jonathan D Moreno; Colleen E Clancy
Journal:  Am J Physiol Heart Circ Physiol       Date:  2012-08-10       Impact factor: 4.733

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.