Literature DB >> 19251209

Type of SCN5A mutation determines clinical severity and degree of conduction slowing in loss-of-function sodium channelopathies.

Paola G Meregalli1, Hanno L Tan, Vincent Probst, Tamara T Koopmann, Michael W Tanck, Zahurul A Bhuiyan, Frederic Sacher, Florence Kyndt, Jean-Jacques Schott, J Albuisson, Philippe Mabo, Connie R Bezzina, Herve Le Marec, Arthur A M Wilde.   

Abstract

BACKGROUND: Patients carrying loss-of-function SCN5A mutations linked to Brugada syndrome (BrS) or progressive cardiac conduction disease (PCCD) are at risk of sudden cardiac death at a young age. The penetrance and expressivity of the disease are highly variable, and new tools for risk stratification are needed.
OBJECTIVES: We aimed to establish whether the type of SCN5A mutation correlates with the clinical and electrocardiographic phenotype.
METHODS: We studied BrS or PCCD probands and their relatives who carried a SCN5A mutation. Mutations were divided into 2 main groups: missense mutations (M) or mutations leading to premature truncation of the protein (T). The M group was subdivided according to available biophysical properties: M mutations with <or=90% (M(active)) or >90% (M(inactive)) peak I(Na) reduction were analyzed separately.
RESULTS: The study group was composed of 147 individuals with 32 different mutations. No differences in age and sex distribution were found between the groups. Subjects carrying a T mutation had significantly more syncopes than those with an M(active) mutation (19 of 75 versus 2 of 35, P = .03). Also, mutations associated with drastic peak I(Na) reduction (T and M(inactive) mutants) had a significantly longer PR interval, compared with M(active) mutations. All other electrocardiographic parameters were comparable. After drug provocation testing, both PR and QRS intervals were significantly longer in the T and M(inactive) groups than in the M(active) group.
CONCLUSION: In loss-of-function SCN5A channelopathies, patients carrying T and M(inactive) mutations develop a more severe phenotype than those with M(active) mutations. This is associated with more severe conduction disorders. This is the first time that genetic data are proposed for risk stratification in BrS.

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Year:  2008        PMID: 19251209     DOI: 10.1016/j.hrthm.2008.11.009

Source DB:  PubMed          Journal:  Heart Rhythm        ISSN: 1547-5271            Impact factor:   6.343


  58 in total

Review 1.  Genetic testing for inherited cardiac disease.

Authors:  Arthur A M Wilde; Elijah R Behr
Journal:  Nat Rev Cardiol       Date:  2013-07-30       Impact factor: 32.419

2.  Genotype-phenotype relationship and risk stratification in loss-of-function SCN5A mutation carriers.

Authors:  Tomas Robyns; Dieter Nuyens; Bert Vandenberk; Cuno Kuiperi; Anniek Corveleyn; Jeroen Breckpot; Christophe Garweg; Joris Ector; Rik Willems
Journal:  Ann Noninvasive Electrocardiol       Date:  2018-04-30       Impact factor: 1.468

3.  Enhanced Classification of Brugada Syndrome-Associated and Long-QT Syndrome-Associated Genetic Variants in the SCN5A-Encoded Na(v)1.5 Cardiac Sodium Channel.

Authors:  Jamie D Kapplinger; John R Giudicessi; Dan Ye; David J Tester; Thomas E Callis; Carmen R Valdivia; Jonathan C Makielski; Arthur A Wilde; Michael J Ackerman
Journal:  Circ Cardiovasc Genet       Date:  2015-04-22

Review 4.  Phenotypical manifestations of mutations in the genes encoding subunits of the cardiac voltage-dependent L-type calcium channel.

Authors:  Carlo Napolitano; Charles Antzelevitch
Journal:  Circ Res       Date:  2011-03-04       Impact factor: 17.367

Review 5.  Genetics of sudden cardiac death.

Authors:  Alon Barsheshet; Andrew Brenyo; Arthur J Moss; Ilan Goldenberg
Journal:  Curr Cardiol Rep       Date:  2011-10       Impact factor: 2.931

Review 6.  Inherited arrhythmia syndromes leading to sudden cardiac death in the young: a global update and an Indian perspective.

Authors:  Priya Chockalingam; Arthur A Wilde
Journal:  Indian Heart J       Date:  2013-12-17

7.  Genetics can contribute to the prognosis of Brugada syndrome: a pilot model for risk stratification.

Authors:  Elena Sommariva; Carlo Pappone; Filippo Martinelli Boneschi; Chiara Di Resta; Maria Rosaria Carbone; Erika Salvi; Pasquale Vergara; Simone Sala; Daniele Cusi; Maurizio Ferrari; Sara Benedetti
Journal:  Eur J Hum Genet       Date:  2013-01-16       Impact factor: 4.246

Review 8.  Pathogenesis and management of Brugada syndrome.

Authors:  Juan Sieira; Gregory Dendramis; Pedro Brugada
Journal:  Nat Rev Cardiol       Date:  2016-09-15       Impact factor: 32.419

9.  Spectrum and prevalence of mutations involving BrS1- through BrS12-susceptibility genes in a cohort of unrelated patients referred for Brugada syndrome genetic testing: implications for genetic testing.

Authors:  Lia Crotti; Cherisse A Marcou; David J Tester; Silvia Castelletti; John R Giudicessi; Margherita Torchio; Argelia Medeiros-Domingo; Savastano Simone; Melissa L Will; Federica Dagradi; Peter J Schwartz; Michael J Ackerman
Journal:  J Am Coll Cardiol       Date:  2012-07-25       Impact factor: 24.094

10.  Risk stratification in young patients with channelopathies.

Authors:  N Sreeram; U Trieschmann; M Khalil; M Emmel
Journal:  Indian Pacing Electrophysiol J       Date:  2010-06-05
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