Literature DB >> 21451124

Use of mutant-specific ion channel characteristics for risk stratification of long QT syndrome patients.

Christian Jons1, Jin O-Uchi, Arthur J Moss, Matthias Reumann, John J Rice, Ilan Goldenberg, Wojciech Zareba, Arthur A M Wilde, Wataru Shimizu, Jorgen K Kanters, Scott McNitt, Nynke Hofman, Jennifer L Robinson, Coeli M B Lopes.   

Abstract

Inherited long QT syndrome (LQTS) is caused by mutations in ion channels that delay cardiac repolarization, increasing the risk of sudden death from ventricular arrhythmias. Currently, the risk of sudden death in individuals with LQTS is estimated from clinical parameters such as age, gender, and the QT interval, measured from the electrocardiogram. Even though a number of different mutations can cause LQTS, mutation-specific information is rarely used clinically. LQTS type 1 (LQT1), one of the most common forms of LQTS, is caused by mutations in the slow potassium current (I(Ks)) channel α subunit KCNQ1. We investigated whether mutation-specific changes in I(Ks) function can predict cardiac risk in LQT1. By correlating the clinical phenotype of 387 LQT1 patients with the cellular electrophysiological characteristics caused by an array of mutations in KCNQ1, we found that channels with a decreased rate of current activation are associated with increased risk of cardiac events (hazard ratio=2.02), independent of the clinical parameters usually used for risk stratification. In patients with moderate QT prolongation (a QT interval less than 500 ms), slower activation was an independent predictor for cardiac events (syncope, aborted cardiac arrest, and sudden death) (hazard ratio = 2.10), whereas the length of the QT interval itself was not. Our results indicate that genotype and biophysical phenotype analysis may be useful for risk stratification of LQT1 patients and suggest that slow channel activation is associated with an increased risk of cardiac events.

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Year:  2011        PMID: 21451124     DOI: 10.1126/scitranslmed.3001551

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  16 in total

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2.  Overexpression of ryanodine receptor type 1 enhances mitochondrial fragmentation and Ca2+-induced ATP production in cardiac H9c2 myoblasts.

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Review 3.  Heart Disease and Stroke Statistics-2017 Update: A Report From the American Heart Association.

Authors:  Emelia J Benjamin; Michael J Blaha; Stephanie E Chiuve; Mary Cushman; Sandeep R Das; Rajat Deo; Sarah D de Ferranti; James Floyd; Myriam Fornage; Cathleen Gillespie; Carmen R Isasi; Monik C Jiménez; Lori Chaffin Jordan; Suzanne E Judd; Daniel Lackland; Judith H Lichtman; Lynda Lisabeth; Simin Liu; Chris T Longenecker; Rachel H Mackey; Kunihiro Matsushita; Dariush Mozaffarian; Michael E Mussolino; Khurram Nasir; Robert W Neumar; Latha Palaniappan; Dilip K Pandey; Ravi R Thiagarajan; Mathew J Reeves; Matthew Ritchey; Carlos J Rodriguez; Gregory A Roth; Wayne D Rosamond; Comilla Sasson; Amytis Towfighi; Connie W Tsao; Melanie B Turner; Salim S Virani; Jenifer H Voeks; Joshua Z Willey; John T Wilkins; Jason Hy Wu; Heather M Alger; Sally S Wong; Paul Muntner
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Review 4.  Genetics of congenital and drug-induced long QT syndromes: current evidence and future research perspectives.

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Review 6.  How computer simulations of the human heart can improve anti-arrhythmia therapy.

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7.  Mutations in cytoplasmic loops of the KCNQ1 channel and the risk of life-threatening events: implications for mutation-specific response to β-blocker therapy in type 1 long-QT syndrome.

Authors:  Alon Barsheshet; Ilan Goldenberg; Jin O-Uchi; Arthur J Moss; Christian Jons; Wataru Shimizu; Arthur A Wilde; Scott McNitt; Derick R Peterson; Wojciech Zareba; Jennifer L Robinson; Michael J Ackerman; Michael Cypress; Daniel A Gray; Nynke Hofman; Jorgen K Kanters; Elizabeth S Kaufman; Pyotr G Platonov; Ming Qi; Jeffrey A Towbin; G Michael Vincent; Coeli M Lopes
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Review 8.  Computational cardiology: how computer simulations could be used to develop new therapies and advance existing ones.

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9.  Systems biology and cardiac arrhythmias.

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10.  A novel mutation KCNQ1p.Thr312del is responsible for long QT syndrome type 1.

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Journal:  Heart Vessels       Date:  2018-07-14       Impact factor: 2.037

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