Literature DB >> 25970841

The Role of Pharmacogenetics in Atrial Fibrillation Therapeutics: Is Personalized Therapy in Sight?

Dawood Darbar1.   

Abstract

Atrial fibrillation (AF) is the most common sustained cardiac arrhythmia worldwide requiring therapy. Despite recent advances in catheter-based and surgical therapy, antiarrhythmic drugs (AADs) remain the mainstay of treatment for symptomatic AF. However, response in individual patients is highly variable with over half the patients treated with rhythm control therapy experiencing recurrence of AF within a year. Contemporary AADs used to suppress AF are incompletely and unpredictably effective and associated with significant risks of proarrhythmia and noncardiac toxicities. Furthermore, this "one-size" fits all strategy for selecting antiarrhythmics is based largely on minimizing risk of adverse effects rather than on the likelihood of suppressing AF. The limited success of rhythm control therapy is in part due to heterogeneity of the underlying substrate, interindividual differences in disease mechanisms, and our inability to predict response to AADs in individual patients. Genetic studies of AF over the past decade have revealed that susceptibility to and response to therapy for AF is modulated by the underlying genetic substrate. However, the bedside application of these new discoveries to the management of AF patients has thus far been disappointing. This may in part be related to our limited understanding about genetic predictors of drug response in general, the challenges associated with determining efficacy of response to AADs, and lack of randomized genotype-directed clinical trials. Nonetheless, recent studies have shown that common AF susceptibility risk alleles at the chromosome 4q25 locus modulated response to AADs, electrical cardioversion, and ablation therapy. This monograph discusses how genetic approaches to AF have not only provided important insights into underlying mechanisms but also identified AF subtypes that can be better targeted with more mechanism-based "personalized" therapy.

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Year:  2016        PMID: 25970841      PMCID: PMC4639470          DOI: 10.1097/FJC.0000000000000280

Source DB:  PubMed          Journal:  J Cardiovasc Pharmacol        ISSN: 0160-2446            Impact factor:   3.105


  122 in total

1.  Overlapping cardiac phenotype associated with a familial mutation in the voltage sensor of the KCNQ1 channel.

Authors:  Ulrike Henrion; Sven Zumhagen; Katja Steinke; Nathalie Strutz-Seebohm; Birgit Stallmeyer; Florian Lang; Eric Schulze-Bahr; Guiscard Seebohm
Journal:  Cell Physiol Biochem       Date:  2012-05-11

Review 2.  Genetic and genomic discovery using family studies.

Authors:  Ingrid B Borecki; Michael A Province
Journal:  Circulation       Date:  2008-09-02       Impact factor: 29.690

3.  Prevalence and spectrum of GJA5 mutations associated with lone atrial fibrillation.

Authors:  Hai-Feng Shi; Jie-Fu Yang; Qian Wang; Ruo-Gu Li; Ying-Jia Xu; Xin-Kai Qu; Wei-Yi Fang; Xu Liu; Yi-Qing Yang
Journal:  Mol Med Rep       Date:  2012-12-28       Impact factor: 2.952

4.  A novel rare variant in SCN1Bb linked to Brugada syndrome and SIDS by combined modulation of Na(v)1.5 and K(v)4.3 channel currents.

Authors:  Dan Hu; Hector Barajas-Martínez; Argelia Medeiros-Domingo; Lia Crotti; Christian Veltmann; Rainer Schimpf; Janire Urrutia; Aintzane Alday; Oscar Casis; Ryan Pfeiffer; Elena Burashnikov; Gabriel Caceres; David J Tester; Christian Wolpert; Martin Borggrefe; Peter Schwartz; Michael J Ackerman; Charles Antzelevitch
Journal:  Heart Rhythm       Date:  2011-12-07       Impact factor: 6.343

5.  SCN1Bb R214Q found in 3 patients: 1 with Brugada syndrome and 2 with lone atrial fibrillation.

Authors:  Morten S Olesen; Anders G Holst; Jesper Hastrup Svendsen; Stig Haunsø; Jacob Tfelt-Hansen
Journal:  Heart Rhythm       Date:  2011-12-07       Impact factor: 6.343

6.  A KCNQ1 mutation causes a high penetrance for familial atrial fibrillation.

Authors:  Daniel C Bartos; Jeffrey B Anderson; Rachel Bastiaenen; Jonathan N Johnson; Michael H Gollob; David J Tester; Don E Burgess; Tessa Homfray; Elijah R Behr; Michael J Ackerman; Pascale Guicheney; Brian P Delisle
Journal:  J Cardiovasc Electrophysiol       Date:  2013-01-25

7.  Atrial natriuretic peptide frameshift mutation in familial atrial fibrillation.

Authors:  Denice M Hodgson-Zingman; Margaret L Karst; Leonid V Zingman; Denise M Heublein; Dawood Darbar; Kathleen J Herron; Jeffrey D Ballew; Mariza de Andrade; John C Burnett; Timothy M Olson
Journal:  N Engl J Med       Date:  2008-07-10       Impact factor: 91.245

8.  A novel KCND3 gain-of-function mutation associated with early-onset of persistent lone atrial fibrillation.

Authors:  Morten Salling Olesen; Lena Refsgaard; Anders Gaarsdal Holst; Anders Peter Larsen; Søren Grubb; Stig Haunsø; Jesper Hastrup Svendsen; Søren-Peter Olesen; Nicole Schmitt; Kirstine Calloe
Journal:  Cardiovasc Res       Date:  2013-02-11       Impact factor: 10.787

9.  Common atrial fibrillation risk alleles at 4q25 predict recurrence after catheter-based atrial fibrillation ablation.

Authors:  M Benjamin Shoemaker; Raafia Muhammad; Babar Parvez; Brenda W White; Megan Streur; Yanna Song; Tanya Stubblefield; Gayle Kucera; Marcia Blair; Jason Rytlewski; Sunthosh Parvathaneni; Rangadham Nagarakanti; Pablo Saavedra; Christopher R Ellis; S Patrick Whalen; Dan M Roden; Dawood Darbar R
Journal:  Heart Rhythm       Date:  2012-11-23       Impact factor: 6.343

10.  Functional modeling in zebrafish demonstrates that the atrial-fibrillation-associated gene GREM2 regulates cardiac laterality, cardiomyocyte differentiation and atrial rhythm.

Authors:  Iris I Müller; David B Melville; Vineeta Tanwar; Witold M Rybski; Amrita Mukherjee; M Benjamin Shoemaker; Wan-Der Wang; John A Schoenhard; Dan M Roden; Dawood Darbar; Ela W Knapik; Antonis K Hatzopoulos
Journal:  Dis Model Mech       Date:  2012-12-07       Impact factor: 5.758

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  4 in total

Review 1.  Investigational antiarrhythmic agents: promising drugs in early clinical development.

Authors:  Jordi Heijman; Shokoufeh Ghezelbash; Dobromir Dobrev
Journal:  Expert Opin Investig Drugs       Date:  2017-07-20       Impact factor: 6.206

Review 2.  The value of basic research insights into atrial fibrillation mechanisms as a guide to therapeutic innovation: a critical analysis.

Authors:  Jordi Heijman; Vincent Algalarrondo; Niels Voigt; Jonathan Melka; Xander H T Wehrens; Dobromir Dobrev; Stanley Nattel
Journal:  Cardiovasc Res       Date:  2015-12-23       Impact factor: 10.787

Review 3.  Atrial Fibrillation Mechanisms and Implications for Catheter Ablation.

Authors:  Ghassen Cheniti; Konstantinos Vlachos; Thomas Pambrun; Darren Hooks; Antonio Frontera; Masateru Takigawa; Felix Bourier; Takeshi Kitamura; Anna Lam; Claire Martin; Carole Dumas-Pommier; Stephane Puyo; Xavier Pillois; Josselin Duchateau; Nicolas Klotz; Arnaud Denis; Nicolas Derval; Pierre Jais; Hubert Cochet; Meleze Hocini; Michel Haissaguerre; Frederic Sacher
Journal:  Front Physiol       Date:  2018-10-17       Impact factor: 4.566

4.  The efficacy and safety of amiodarone combined with beta-blockers in the maintenance of sinus rhythm for atrial fibrillation: A protocol for systematic review and network meta-analysis.

Authors:  Shuqing Shi; Qiulei Jia; Jingjing Shi; Shuai Shi; Guozhen Yuan; Yuanhui Hu
Journal:  Medicine (Baltimore)       Date:  2020-09-18       Impact factor: 1.817

  4 in total

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