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Conte G, Bergonti M, Probst V, Morita H, Tfelt-Hansen J, Behr ER, Kengo K, Arbelo E, Crotti L, Sarquella-Brugada G, Wilde AAM, Calò L, Sarkozy A, de Asmundis C, Mellor G, Migliore F, Letsas K, Vicentini A, Levinstein M, Berne P, Chen SA, Veltmann C, Biernacka EK, Carvalho P, Kabawata M, Sojema K, Gonzalez MC, Tse G, Thollet A, Svane J, Caputo ML, Scrocco C, Kamakura T, Pardo LF, Lee S, Juárez CK, Martino A, Lo LW, Monaco C, Reyes-Quintero ÁE, Martini N, Oezkartal T, Klersy C, Brugada J, Schwartz PJ, Brugada P, Belhassen B, Auricchio A. aTrial arrhythmias in inhEriTed aRrhythmIa Syndromes: results from the TETRIS study. Europace 2024; 26:euae288. [PMID: 39527076 PMCID: PMC11630530 DOI: 10.1093/europace/euae288] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2024] [Revised: 10/11/2024] [Accepted: 10/28/2024] [Indexed: 11/16/2024] Open
Abstract
AIMS Little is known about the distribution and clinical course of patients with inherited arrhythmia syndrome (IAS) and concomitant atrial arrhythmias (AAs). The aim of the study is (i) to characterize the distribution of AAs in patients with IAS and (ii) evaluate the long-term clinical course of these patients. METHODS AND RESULTS An international multicentre study was performed and involved 28 centres in 16 countries. Inclusion criteria were (i) IAS and (ii) electrocardiographic documentation of AAs. The primary endpoint was a composite of sudden cardiac death, sustained ventricular arrhythmias (VAs), or appropriate implantable cardioverter defibrillator (ICD) interventions. Strokes, inappropriate ICD shocks due to AAs, and the occurrence of sinus node dysfunction were assessed. A total of 522 patients with IAS and AAs were included. Most patients were diagnosed with Brugada syndrome (n = 355, 68%) and long QT syndrome (n = 93, 18%). The remaining patients (n = 71, 14%) presented with short QT syndrome, early repolarization syndrome, catecholaminergic polymorphic ventricular tachycardia, progressive cardiac conduction diseases, or idiopathic ventricular fibrillation. Atrial fibrillation was the most prevalent AA (82%), followed by atrial flutter (9%) and atrial tachycardia (9%). Atrial arrhythmia was the first clinical manifestation of IAS in 52% of patients. More than one type of AA was documented in 23% of patients. Nine patients (3%) experienced VA before the diagnosis of IAS due the use of anti-arrhythmic medications taken for the AA. The incidence of the primary endpoint was 1.4% per year, with a two-fold increase in patients who experienced their first AA before the age of 20 (odds ratio 2.2, P = 0.043). This was consistent across the different forms of IAS. Inappropriate ICD shock due to AAs was reported in 2.8% of patients, strokes in 4.4%, and sinus node dysfunction in 9.6%. CONCLUSION Among patients with IAS and AAs, AA is the first clinical manifestation in about half of the cases, with more than one form of AAs present in one-fourth of the patients. The occurrence of AA earlier in life may be associated with a higher risk of VAs. The occurrence of stroke and sinus node dysfunction is not infrequently in this cohort.
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MESH Headings
- Humans
- Female
- Male
- Adult
- Middle Aged
- Atrial Fibrillation/diagnosis
- Atrial Fibrillation/physiopathology
- Atrial Fibrillation/epidemiology
- Atrial Fibrillation/therapy
- Defibrillators, Implantable
- Electrocardiography
- Prevalence
- Death, Sudden, Cardiac/prevention & control
- Death, Sudden, Cardiac/epidemiology
- Death, Sudden, Cardiac/etiology
- Arrhythmias, Cardiac/therapy
- Arrhythmias, Cardiac/diagnosis
- Arrhythmias, Cardiac/physiopathology
- Arrhythmias, Cardiac/epidemiology
- Brugada Syndrome/physiopathology
- Brugada Syndrome/therapy
- Brugada Syndrome/complications
- Brugada Syndrome/diagnosis
- Long QT Syndrome/diagnosis
- Long QT Syndrome/physiopathology
- Long QT Syndrome/therapy
- Young Adult
- Europe/epidemiology
- Adolescent
- Risk Factors
- Tachycardia, Ventricular/physiopathology
- Tachycardia, Ventricular/diagnosis
- Tachycardia, Ventricular/therapy
- Atrial Flutter/diagnosis
- Atrial Flutter/physiopathology
- Atrial Flutter/epidemiology
- Atrial Flutter/therapy
- Aged
- Electric Countershock/instrumentation
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Affiliation(s)
- Giulio Conte
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Via la Santa 1, 6900 Lugano, Switzerland
| | - Marco Bergonti
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
| | - Vincent Probst
- Cardiology Department, L’institut du thorax CHU de Nantes, Nantes, France
| | - Hiroshi Morita
- Department of Cardiovascular Therapeutics, Faculty of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan
| | - Jacob Tfelt-Hansen
- ERN GUARDHEART
- Cardiology Department, Rigshospitalet—Copenhagen University Hospital, Copenhagen, Denmark
| | - Elijah R Behr
- ERN GUARDHEART
- Cardiovascular and Genomics Research Institute, St. George’s, University of London and St. George’s University Hospitals NHS Foundation Trust, London, UK
| | - Kusano Kengo
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Elena Arbelo
- ERN GUARDHEART
- Arrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain
| | - Lia Crotti
- IRCCS, Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin and Laboratory of Cardiovascular Genetics, Milan, Italy
- Department of Medicine and Surgery, University Milano Bicocca, Milan, Italy
| | - Georgia Sarquella-Brugada
- ERN GUARDHEART
- Pediatric Arrhythmias, Inherited Cardiac Diseases and Sudden Death Unit, Hospital Sant Joan de Déu, Universitat de Barcelona, Barcelona, Spain
| | - Arthur A M Wilde
- Department of Cardiology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Leonardo Calò
- Cardiology Department, Policlinico Casilino, Rome, Italy
| | - Andrea Sarkozy
- Cardiology Department,University Hospital Antwerp, Antwerp, Belgium
- Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Universitair Ziekenhuis Brussel—Vrije Universiteit Brussel, European Reference Networks Guard-Heart, Brussels, Belgium
| | - Carlo de Asmundis
- ERN GUARDHEART
- Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Universitair Ziekenhuis Brussel—Vrije Universiteit Brussel, European Reference Networks Guard-Heart, Brussels, Belgium
| | - Greg Mellor
- Cardiology Department, Royal Papworth Hospital NHS Foundation Trust, Cambridge, UK
| | - Federico Migliore
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | | | | | - Moises Levinstein
- Cardiology Department, Nacional de Cardiología ‘Ignacio Chávez’, Mexico City, Mexico
| | - Paola Berne
- Cardiology Department, Ospedale Santissima Annunziata, Azienda Ospedaliera Universitaria, Sassari, Italy
| | - Shih-Ann Chen
- Heart Rhythm Center, Taipei Veterans General Hospital and Cardiovascular Center, Taichung Veterans General Hospital, National Yang Ming Chiao Tung University and National Chung Hsing University, Taipei, Taiwan
| | | | | | - Paula Carvalho
- Cardiology Department, University Hospital San Luigi Gonzaga di Orbassano, Orbassano, Italy
| | - Mihoko Kabawata
- Department of Cardiovascular Disease, AOI Universal Hospital, Kanagawa, Japan
| | - Kyoko Sojema
- Department Cardiovascular Medicine, Kyorin University, Kyorin, Japan
| | - Maria Cecilia Gonzalez
- Pediatric Cardiology and Electrophysiology, Sainte Justine—University of Montreal, Montreal, Canada
| | - Gary Tse
- Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China
| | - Aurélie Thollet
- Cardiology Department, L’institut du thorax CHU de Nantes, Nantes, France
| | - Jesper Svane
- Cardiology Department, Rigshospitalet—Copenhagen University Hospital, Copenhagen, Denmark
| | - Maria Luce Caputo
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
| | - Chiara Scrocco
- Cardiovascular and Genomics Research Institute, St. George’s, University of London and St. George’s University Hospitals NHS Foundation Trust, London, UK
| | - Tsukasa Kamakura
- Department of Cardiovascular Medicine, National Cerebral and Cardiovascular Center, Osaka, Japan
| | - Livia Franchetti Pardo
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
| | - Sharen Lee
- Faculty of Medicine, Chinese University of Hong Kong, Hong Kong SAR, China
- Cardiovascular Analytics Department, Hong Kong SAR, China
| | | | | | - Li-Wei Lo
- Heart Rhythm Center, Cardiovascular Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Cinzia Monaco
- Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Universitair Ziekenhuis Brussel—Vrije Universiteit Brussel, European Reference Networks Guard-Heart, Brussels, Belgium
| | - Álvaro E Reyes-Quintero
- Centro Universitario de Ciencias de la Salud, Universidad de Guadalajara, Guadalajara, Jalisco, Mexico
| | - Nicolò Martini
- Department of Cardiac, Thoracic and Vascular Sciences and Public Health, University of Padova, Padova, Italy
| | - Tardu Oezkartal
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
| | - Catherine Klersy
- Biostatistics & Clinical Trial Center, Fondazione IRCCS Policlinico San Matteo, Pavia, Italy
| | - Josep Brugada
- Arrhythmia Section, Cardiology Department, Hospital Clinic, Universitat de Barcelona, Barcelona, Spain
| | - Peter J Schwartz
- IRCCS, Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin and Laboratory of Cardiovascular Genetics, Milan, Italy
| | - Pedro Brugada
- Heart Rhythm Management Centre, Postgraduate Program in Cardiac Electrophysiology and Pacing, Universitair Ziekenhuis Brussel—Vrije Universiteit Brussel, European Reference Networks Guard-Heart, Brussels, Belgium
| | - Bernard Belhassen
- Heart Institute, Hadassah Medical Center, Jerusalem, Israel
- Tel Aviv University, Tel Aviv, Israel
| | - Angelo Auricchio
- Division of Cardiology, Cardiocentro Ticino Institute, Ente Ospedaliero Cantonale, Via Tesserete 48, CH-6900 Lugano, Switzerland
- Faculty of Biomedical Sciences, Università della Svizzera Italiana, Via la Santa 1, 6900 Lugano, Switzerland
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Lawley CM, Tester M, Sanatani S, Prendiville T, Beach CM, Vinocur JM, Horie M, Uhm JS, Khongphatthanayothin A, Ayers MD, Starling L, Yoshida Y, Shah MJ, Skinner JR, Turner C. Life-threatening cardiac arrhythmia and sudden death during electronic gaming: An international case series and systematic review. Heart Rhythm 2022; 19:1826-1833. [PMID: 37850595 DOI: 10.1016/j.hrthm.2022.08.003] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Revised: 07/21/2022] [Accepted: 08/02/2022] [Indexed: 01/01/2023]
Abstract
BACKGROUND Electronic gaming has recently been reported as a precipitant of life-threatening cardiac arrhythmia in susceptible individuals. OBJECTIVE The purpose of this study was to describe the population at risk, the nature of cardiac events, and the type of game linked to cardiac arrhythmia associated with electronic gaming. METHODS A multisite international case series of suspected or proven cardiac arrhythmia during electronic gaming in children and a systematic review of the literature were performed. RESULTS Twenty-two patients (18 in the case series and 4 via systematic review; aged 7-16 years; 19 males [86%]) were identified as having experienced suspected or proven ventricular arrhythmia during electronic gaming; 6 (27%) had experienced cardiac arrest, and 4 (18%) died suddenly. A proarrhythmic cardiac diagnosis was known in 7 (31%) patients before their gaming event and was established afterward in 12 (54%). Ten patients (45%) had catecholaminergic polymorphic ventricular tachycardia, 4 (18%) had long QT syndrome, 2 (9%) were post-congenital cardiac surgery, 2 (9%) had "idiopathic" ventricular fibrillation, and 1 (after Kawasaki disease) had coronary ischemia. In 3 patients (14%), including 2 who died, the diagnosis remains unknown. In 13 (59%) patients for whom the electronic game details were known, 8 (62%) were war games. CONCLUSION Electronic gaming can precipitate lethal cardiac arrhythmias in susceptible children. The incidence appears to be low, but syncope in this setting should be investigated thoroughly. In children with proarrhythmic cardiac conditions, electronic war games in particular are a potent arrhythmic trigger.
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Affiliation(s)
- Claire M Lawley
- The Heart Centre for Children, Sydney Children's Hospitals Network, Sydney, New South Wales, Australia; The University of Sydney Children's Hospital Westmead Clinical School, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia; Department of Paediatric Cardiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom.
| | - Matthew Tester
- Children's Heart Centre, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Shubhayan Sanatani
- Children's Heart Centre, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Terence Prendiville
- Department of Cardiology and Cardiac Surgery, Children's Health Ireland at Crumlin, Dublin, Republic of Ireland
| | - Cheyenne M Beach
- Department of Pediatrics, Division of Pediatric Cardiology, Yale University School of Medicine, New Haven, Connecticut
| | - Jeffrey M Vinocur
- Department of Pediatrics, Division of Pediatric Cardiology, Yale University School of Medicine, New Haven, Connecticut; Department of Pediatrics, University of Rochester School of Medicine and Dentistry, Rochester, New York
| | - Minoru Horie
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Shiga, Japan
| | - Jae-Sun Uhm
- Department of Cardiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin, Gyeonggi-do, Republic of Korea
| | - Apichai Khongphatthanayothin
- Department of Cardiology, Yongin Severance Hospital, College of Medicine, Yonsei University, Yongin, Gyeonggi-do, Republic of Korea; Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Mark D Ayers
- Department of Pediatrics, Division of Pediatric Cardiology, Pediatric Electrophysiology, Indiana University School of Medicine, Indianapolis, Indiana
| | - Luke Starling
- Department of Paediatric Cardiology, Great Ormond Street Hospital for Children NHS Foundation Trust, London, United Kingdom
| | - Yoko Yoshida
- Department of Pediatric Electrophysiology, Osaka City General Hospital, Miyakojima-hondori, Miyakojima-ku, Osaka, Japan
| | - Maully J Shah
- Department of Pediatrics, University of Pennsylvania Perelman School of Medicine, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania
| | - Jonathan R Skinner
- The Heart Centre for Children, Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
| | - Christian Turner
- The Heart Centre for Children, Sydney Children's Hospitals Network, Sydney, New South Wales, Australia
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3
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Pena SDJ, Tarazona-Santos E. Clinical genomics and precision medicine. Genet Mol Biol 2022; 45:e20220150. [PMID: 36218382 PMCID: PMC9555143 DOI: 10.1590/1678-4685-gmb-2022-0150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2022] [Accepted: 07/12/2022] [Indexed: 11/04/2022] Open
Abstract
Precision Medicine emerges from the genomic paradigm of health and disease. For precise molecular diagnoses of genetic diseases, we must analyze the Whole Exome (WES) or the Whole Genome (WGS). By not needing exon capture, WGS is more powerful to detect single nucleotide variants and copy number variants. In healthy individuals, we can observe monogenic highly penetrant variants, which may be causally responsible for diseases, and also susceptibility variants, associated with common polygenic diseases. But there is the major problem of penetrance. Thus, there is the question of whether it is worthwhile to perform WGS in all healthy individuals as a step towards Precision Medicine. The genetic architecture of disease is consistent with the fact that they are all polygenic. Moreover, ancestry adds another layer of complexity. We are now capable of obtaining Polygenic Risk Scores for all complex diseases using only data from new generation sequencing. Yet, review of available evidence does not at present favor the idea that WGS analyses are sufficiently developed to allow reliable predictions of the risk components for monogenic and polygenic hereditary diseases in healthy individuals. Probably, it is still better for WGS to remain reserved for the diagnosis of pathogenic variants of Mendelian diseases.
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Affiliation(s)
- Sérgio D. J. Pena
- Universidade Federal de Minas Gerais, Instituto de Ciências Biológicas, Departamento de Bioquímica e Imunologia, Belo Horizonte, MG, Brazil. ,Núcleo de Genética Médica, Belo Horizonte, MG, Brazil
| | - Eduardo Tarazona-Santos
- Universidade Federal de Minas Gerais, Instituto de Ciências Biológicas, Departamento de Genética, Ecologia e Evolução, Belo Horizonte, MG, Brazil
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Itoh H, Murayama T, Kurebayashi N, Ohno S, Kobayashi T, Fujii Y, Watanabe M, Ogawa H, Anzai T, Horie M. Sudden death after inappropriate shocks of implantable cardioverter defibrillator in a catecholaminergic polymorphic ventricular tachycardia case with a novel RyR2 mutation. J Electrocardiol 2021; 69:111-118. [PMID: 34656916 DOI: 10.1016/j.jelectrocard.2021.09.015] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2021] [Revised: 09/29/2021] [Accepted: 09/30/2021] [Indexed: 01/04/2023]
Abstract
BACKGROUND Catecholaminergic polymorphic ventricular tachycardia (CPVT) is an inherited arrhythmogenic syndrome and a cause of exercise-related sudden death. CPVT has been reported to be caused by gain of function underlying a mutation of cardiac ryanodine receptor (RyR2). METHODS In a family with a CPVT patient, genomic DNA was extracted from peripheral blood lymphocytes, and the RyR2 gene underwent target gene sequence using MiSeq. The activity of wild-type (WT) and mutant RyR2 channel were evaluated by monitoring Ca2+ signals in HEK293 cells expressing WT and mutant RyR2. We investigated a role of a RyR2 mutation in the recent tertiary structure of RyR2. RESULTS Though a 17-year-old man diagnosed as CPVT had implantable cardioverter defibrillator (ICD) and was going to undergo catheter ablation for the control of paroxysmal atrial fibrillation, he suddenly died at the age of twenty-one because of ventricular fibrillation which was spontaneously developed after maximum inappropriate ICD shocks against rapid atrial fibrillation. The genetic test revealed a de novo RyR2 mutation, Gln4936Lys in mosaicism which was located at the α-helix interface between U-motif and C-terminal domain. In the functional analysis, Ca2+ release from endoplasmic reticulum via the mutant RyR2 significantly increased than that from WT. CONCLUSION A RyR2 mutation, Gln4936Lys, to be documented in a CPVT patient with exercise-induced ventricular tachycardias causes an excessive Ca2+ release from the sarcoplasmic reticulum which corresponded to clinical phenotypes of CPVT. The reduction of inappropriate shocks of ICD is essential to prevent unexpected sudden death in patients with CPVT.
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Affiliation(s)
- Hideki Itoh
- Division of Patient Safety, Hiroshima University Hospital, Hiroshima, Japan; Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan.
| | - Takashi Murayama
- Department of Cellular and Molecular Pharmacology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Nagomi Kurebayashi
- Department of Cellular and Molecular Pharmacology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Seiko Ohno
- Department of Bioscience and Genetics, National Cerebral and Cardiovascular Center, Suita, Japan
| | - Takuya Kobayashi
- Department of Cellular and Molecular Pharmacology, Juntendo University Graduate School of Medicine, Tokyo, Japan
| | - Yusuke Fujii
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
| | - Masaya Watanabe
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Haruo Ogawa
- Department of Structural Biology, Kyoto University Graduate School of Pharmaceutical Sciences, Kyoto, Japan
| | - Toshihisa Anzai
- Department of Cardiovascular Medicine, Hokkaido University Graduate School of Medicine, Sapporo, Japan
| | - Minoru Horie
- Department of Cardiovascular Medicine, Shiga University of Medical Science, Otsu, Shiga, Japan
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Környei L, Szabó A, Róth G, Kardos A, Fogarasi A. Frequency of syncope as a presenting symptom in channelopathies diagnosed in childhood. Can the multivariable EGSYS score unmask these children? Eur J Pediatr 2021; 180:1553-1559. [PMID: 33447893 DOI: 10.1007/s00431-020-03913-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Revised: 12/13/2020] [Accepted: 12/16/2020] [Indexed: 11/24/2022]
Abstract
Pediatric syncope raises cardiac etiology concern as it might be the first sign of life-threatening arrhythmia syndromes. Our aim was to study the incidence of syncope as the presenting symptom in children with arrhythmia syndromes, and if known, warning signs are helpful to reveal the arrhythmic origin. All data on children with channelopathy was followed by a tertiary pediatric cardiac center between 2000 and 2018 and data were reviewed retrospectively. Forty-eight patients were enrolled, representing long QT syndrome (n = 39), catecholaminergic polymorphic ventricular tachycardia (n = 5), and Brugada syndrome (n = 4). Presenting symptoms were syncope in 13 cases [27%] (including 7 initially mislabeled as epilepsy) and sudden cardiac arrest (SCA) in 9 cases [19%]. In the rest of the group, the concern for arrhythmic etiology was raised by either an abnormal ECG during sports medicine screening (n = 13) [27%] or a positive family history of channelopathy (n = 13) [27%]. None of the patients presenting with SCA had a prior syncopal history. Six patients presenting with syncope and afterward treated with ICD had an appropriate shock. Description of witnessed syncope was available in eight out of thirteen children presenting with syncope. Multivariable EGSYS score suggested cardiac origin (≥ 3 points) in 7 out of 8 (88%) patients.Conclusions: Syncope was a relatively uncommon presenting symptom of channelopathies in this sample and did not always precede sudden cardiac arrests. However, we found that multivariable EGSYS score can identify syncope of arrhythmic origin, raising suspicion for pediatric channelopathies even in patients previously misdiagnosed with epilepsy. What is known: • Cardiac syncope is rare in children but can be the first sign of a potentially fatal primary arrhythmia syndrome and is frequently misdiagnosed as atypical/therapy-resistant epilepsy. • Multivariate EGSYS score is effective to diagnose cardiac syncope in adults. What is new: • Cardiac syncope as a presenting symptom is not common in children with cardiac channelopathies and is not often present before sudden cardiac arrest. • Multivariable EGSYS score might identify cardiac syncope in children with a hereditary and secondary channelopathy.
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Affiliation(s)
- László Környei
- Gottsegen György Hungarian Institute of Cardiology, Pediatric Heart Center, Haller u. 29, Budapest, 1096, Hungary.
| | - Andrea Szabó
- Gottsegen György Hungarian Institute of Cardiology, Pediatric Heart Center, Haller u. 29, Budapest, 1096, Hungary
| | - György Róth
- Gottsegen György Hungarian Institute of Cardiology, Pediatric Heart Center, Haller u. 29, Budapest, 1096, Hungary
| | - Attila Kardos
- Gottsegen György Hungarian Institute of Cardiology, Budapest, Hungary
| | - András Fogarasi
- Department of Neurology, Bethesda Children's Hospital, Budapest, Hungary
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Diagnostic Yield of Genetic Testing in Sudden Cardiac Death with Autopsy Findings of Uncertain Significance. J Clin Med 2021; 10:jcm10091806. [PMID: 33919104 PMCID: PMC8122344 DOI: 10.3390/jcm10091806] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2021] [Revised: 04/12/2021] [Accepted: 04/15/2021] [Indexed: 01/05/2023] Open
Abstract
Background: Sudden death (SD) in the young usually has an underlying genetic cause. In many cases, autopsy reveals unspecific and inconclusive results, like idiopathic left ventricular hypertrophy (LVH), nonsignificant coronary atherosclerosis (CA), and primary myocardial fibrosis (PMF). Their pathogenicity and their relation to SD cause is unknown. This study aims to evaluate the diagnostic yield of genetic testing in these cases. Methods: SD cases, between 1 and 50 years old, with findings of uncertain significance (idiopathic LVH, nonsignificant CA and PMF) on autopsy were evaluated prospectively, including information about medical and family history and circumstances of death. Genetic testing was performed. Results: In a series of 195 SD cases, we selected 31 cases presenting idiopathic LVH (n = 16, 51.61%), nonsignificant CA (n = 17, 54.84%), and/or PMF (n = 24, 77.42%) in the autopsy. Mean age was 41 ± 7.2 years. Diagnostic yield of genetic test was 67.74%, considering variants of unknown significance (VUS), pathogenic variants (PV) and likely pathogenic variants (LPV); 6.45% including only PV and LPV. Structural genes represented 41,93% (n = 13) of cases, while 38,7% (n = 12) were related to channelopathies. Conclusion: Molecular autopsy in SD cases between 1 and 50 years old, with findings of uncertain significance, has a low diagnostic yield, being VUS the most frequent variant observed.
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7
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Campuzano O, Sarquella-Brugada G, Cesar S, Arbelo E, Brugada J, Brugada R. Update on Genetic Basis of Brugada Syndrome: Monogenic, Polygenic or Oligogenic? Int J Mol Sci 2020; 21:7155. [PMID: 32998306 PMCID: PMC7582739 DOI: 10.3390/ijms21197155] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 09/23/2020] [Accepted: 09/25/2020] [Indexed: 12/13/2022] Open
Abstract
Brugada syndrome is a rare inherited arrhythmogenic disease leading to ventricular fibrillation and high risk of sudden death. In 1998, this syndrome was linked with a genetic variant with an autosomal dominant pattern of inheritance. To date, rare variants identified in more than 40 genes have been potentially associated with this disease. Variants in regulatory regions, combinations of common variants and other genetic alterations are also proposed as potential origins of Brugada syndrome, suggesting a polygenic or oligogenic inheritance pattern. However, most of these genetic alterations remain of questionable causality; indeed, rare pathogenic variants in the SCN5A gene are the only established cause of Brugada syndrome. Comprehensive analysis of all reported genetic alterations identified the origin of disease in no more than 40% of diagnosed cases. Therefore, identifying the cause of this rare arrhythmogenic disease in the many families without a genetic diagnosis is a major current challenge in Brugada syndrome. Additional challenges are interpretation/classification of variants and translation of genetic data into clinical practice. Further studies focused on unraveling the pathophysiological mechanisms underlying the disease are needed. Here we provide an update on the genetic basis of Brugada syndrome.
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Affiliation(s)
- Oscar Campuzano
- Cardiovascular Genetics Centre, University of Girona-IDIBGI, 17190 Girona, Spain
- Medical Science Department, School of Medicine, University of Girona, 17003 Girona, Spain;
- Centro Investigación Biomédica en Red: Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (E.A.); (J.B.)
| | - Georgia Sarquella-Brugada
- Medical Science Department, School of Medicine, University of Girona, 17003 Girona, Spain;
- Arrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, 08950 Barcelona, Spain;
| | - Sergi Cesar
- Arrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, 08950 Barcelona, Spain;
| | - Elena Arbelo
- Centro Investigación Biomédica en Red: Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (E.A.); (J.B.)
- Arrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, 08950 Barcelona, Spain;
| | - Josep Brugada
- Centro Investigación Biomédica en Red: Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (E.A.); (J.B.)
- Arrhythmia Unit, Hospital Sant Joan de Déu, University of Barcelona, 08950 Barcelona, Spain;
- Arrhythmia Section, Cardiovascular Institute, Hospital Clinic, University of Barcelona, 08036 Barcelona, Spain
| | - Ramon Brugada
- Cardiovascular Genetics Centre, University of Girona-IDIBGI, 17190 Girona, Spain
- Medical Science Department, School of Medicine, University of Girona, 17003 Girona, Spain;
- Centro Investigación Biomédica en Red: Enfermedades Cardiovasculares (CIBERCV), 28029 Madrid, Spain; (E.A.); (J.B.)
- Familial Cardiomyopathies Unit, Hospital Josep Trueta de Girona, 17007 Girona, Spain
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8
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Li X, Liu N, Bai R. Variant frequencies of KCNQ1, KCNH2, and SCN5A in a Chinese inherited arrhythmia cohort and other disease cohorts undergoing genetic testing. Ann Hum Genet 2019; 84:161-168. [PMID: 31696929 DOI: 10.1111/ahg.12359] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2019] [Revised: 09/04/2019] [Accepted: 09/24/2019] [Indexed: 11/30/2022]
Abstract
KCNQ1, KCNH2, and SCN5A are the most common genes responsible for long QT syndrome and Brugada syndrome. However, the genetic variant frequencies of the three genes in different Chinese disease cohorts are largely unknown. In this study, we analyzed the genetic variants of KCNQ1, KCNH2, and SCN5A in patients from seven cohorts (total N = 11945, including patients clinically suspected to have inherited arrhythmia [n = 122], other cardiovascular diseases [n = 1045], epilepsy [n = 4797], or other diseases [n = 5841], and healthy controls [n = 140]) who had undergone genetic testing. All of these variants were identified via genetic testing by two Chinese companies using the Hi-Seq 2000 platform. A total of 1018 variants (minor allele frequency <0.01) were identified, with 186 (18%), 374 (37%), and 458 (46%) variants in the coding exons of KCNQ1, KCNH2, and SCN5A, respectively. Of these variants, 84% had unknown or uncertain clinical significance. The frequency of identified ClinVar pathological/likely pathological variants was higher for KCNQ1 (13/186, 7.0%) than for KCNH2 (6/374, 1.6%) or SCN5A (10/458, 2.2%), and KCNH2 held the highest number and proportion of radical mutations (30/374, 8%). The prevalence of variants was highest in the inherited arrhythmia cohort (35%) and lowest in the healthy controls (<4%), as expected. Noticeably, the variant prevalence was relatively high in the epilepsy cohort (27%). Finally, only 22 of the 82 variants (26%) identified by both companies had consistent interpretations of pathogenicity between the two companies. Our study demonstrated a comprehensive spectrum of variants in KCNQ1, KCNH2, and SCN5A in a large number of Chinese individuals, including inherited arrhythmia, cardiovascular diseases, and epilepsy. The detailed variant frequency data of each cohort could serve as a valuable reference to facilitate further variant classification by others. We also found that the interpretations of pathogenicity differed greatly among the companies.
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Affiliation(s)
- Xin Li
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Chaoyang, Beijing, China
| | - Nian Liu
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Chaoyang, Beijing, China
| | - Rong Bai
- Department of Cardiology, Beijing Anzhen Hospital, Capital Medical University, National Clinical Research Center for Cardiovascular Diseases, Chaoyang, Beijing, China
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9
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Abstract
Genetic testing has an increasingly important role in the diagnosis and management of cardiac disorders, where it confirms the diagnosis, aids prognostication and risk stratification and guides treatment. A genetic diagnosis in the proband also enables clarification of the risk for family members by cascade testing. Genetics in cardiac disorders is complex where epigenetic and environmental factors might come into interplay. Incomplete penetrance and variable expressivity is also common. Genetic results in cardiac conditions are mostly probabilistic and should be interpreted with all available clinical information. With this complexity in cardiac genetics, testing is only indicated in patients with a strong suspicion of an inheritable cardiac disorder after a full clinical evaluation. In this review we discuss the genetics underlying the major cardiomyopathies and channelopathies, and the practical aspects of diagnosing these conditions in the laboratory.
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10
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Sohinki DA, Mathew ST. Ventricular Arrhythmias in the Patient with a Structurally Normal Heart. J Innov Card Rhythm Manag 2018; 9:3338-3353. [PMID: 32477784 PMCID: PMC7252725 DOI: 10.19102/icrm.2018.091004] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2017] [Accepted: 02/04/2018] [Indexed: 11/24/2022] Open
Abstract
Ventricular arrhythmias (VAs) are among the most common cardiac rhythm disturbances encountered in clinical practice. Patients presenting with frequent ventricular ectopy or sustained ventricular tachycardia represent a challenging and worrisome clinical scenario for many practitioners because of concerning symptoms, frequent associated acute hemodynamic compromise, and the adverse prognostic implications inherent to these cases. While an underlying structural or functional cardiac abnormality, metabolic derangement, or medication toxicity is often readily apparent, many patients have no obvious underlying condition, despite a comprehensive diagnostic evaluation. Such patients are diagnosed as having an idiopathic VA, which is a label with specific implications regarding arrhythmia origin, prognosis, and potential for pharmacologic and invasive management. Further, a subset of patients with otherwise benign idiopathic ventricular ectopy can present with polymorphic ventricular tachycardia and ventricular fibrillation, adding a layer of complexity to a clinical syndrome previously felt to have a benign clinical course. Thus, this review seeks to highlight the most common types of idiopathic VAs with a focus on their prognostic implications, underlying electrophysiologic mechanisms, unique electrocardiographic signatures, and considerations for invasive electrophysiologic study and catheter ablation. We further address some of the data regarding idiopathic ventricular fibrillation with respect to the heterogeneous nature of this diagnosis.
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Affiliation(s)
- Daniel A Sohinki
- Department of Cardiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Sunil T Mathew
- Department of Cardiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA.,Heart Rhythm Institute, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
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11
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Garg P, Oikonomopoulos A, Chen H, Li Y, Lam CK, Sallam K, Perez M, Lux RL, Sanguinetti MC, Wu JC. Genome Editing of Induced Pluripotent Stem Cells to Decipher Cardiac Channelopathy Variant. J Am Coll Cardiol 2018; 72:62-75. [PMID: 29957233 PMCID: PMC6050025 DOI: 10.1016/j.jacc.2018.04.041] [Citation(s) in RCA: 104] [Impact Index Per Article: 14.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2017] [Revised: 03/13/2018] [Accepted: 04/12/2018] [Indexed: 12/20/2022]
Abstract
BACKGROUND The long QT syndrome (LQTS) is an arrhythmogenic disorder of QT interval prolongation that predisposes patients to life-threatening ventricular arrhythmias such as Torsades de pointes and sudden cardiac death. Clinical genetic testing has emerged as the standard of care to identify genetic variants in patients suspected of having LQTS. However, these results are often confounded by the discovery of variants of uncertain significance (VUS), for which there is insufficient evidence of pathogenicity. OBJECTIVES The purpose of this study was to demonstrate that genome editing of patient-specific induced pluripotent stem cells (iPSCs) can be a valuable approach to delineate the pathogenicity of VUS in cardiac channelopathy. METHODS Peripheral blood mononuclear cells were isolated from a carrier with a novel missense variant (T983I) in the KCNH2 (LQT2) gene and an unrelated healthy control subject. iPSCs were generated using an integration-free Sendai virus and differentiated to iPSC-derived cardiomyocytes (CMs). RESULTS Whole-cell patch clamp recordings revealed significant prolongation of the action potential duration (APD) and reduced rapidly activating delayed rectifier K+ current (IKr) density in VUS iPSC-CMs compared with healthy control iPSC-CMs. ICA-105574, a potent IKr activator, enhanced IKr magnitude and restored normal action potential duration in VUS iPSC-CMs. Notably, VUS iPSC-CMs exhibited greater propensity to proarrhythmia than healthy control cells in response to high-risk torsadogenic drugs (dofetilide, ibutilide, and azimilide), suggesting a compromised repolarization reserve. Finally, the selective correction of the causal variant in iPSC-CMs using CRISPR/Cas9 gene editing (isogenic control) normalized the aberrant cellular phenotype, whereas the introduction of the homozygous variant in healthy control cells recapitulated hallmark features of the LQTS disorder. CONCLUSIONS The results suggest that the KCNH2T983I VUS may be classified as potentially pathogenic.
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Affiliation(s)
- Priyanka Garg
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Angelos Oikonomopoulos
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Haodong Chen
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Yingxin Li
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Chi Keung Lam
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Karim Sallam
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California
| | - Marco Perez
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California; Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, Stanford University, Stanford, California
| | - Robert L Lux
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, Utah
| | - Michael C Sanguinetti
- Nora Eccles Harrison Cardiovascular Research and Training Institute, University of Utah, Salt Lake City, Utah; Division of Cardiovascular Medicine, Department of Internal Medicine, University of Utah, Salt Lake City, Utah
| | - Joseph C Wu
- Stanford Cardiovascular Institute and Department of Medicine, Division of Cardiology, Stanford University, Stanford, California.
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12
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Li B, Mendenhall JL, Kroncke BM, Taylor KC, Huang H, Smith DK, Vanoye CG, Blume JD, George AL, Sanders CR, Meiler J. Predicting the Functional Impact of KCNQ1 Variants of Unknown Significance. ACTA ACUST UNITED AC 2018; 10:CIRCGENETICS.117.001754. [PMID: 29021305 DOI: 10.1161/circgenetics.117.001754] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/06/2017] [Accepted: 08/24/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND An emerging standard-of-care for long-QT syndrome uses clinical genetic testing to identify genetic variants of the KCNQ1 potassium channel. However, interpreting results from genetic testing is confounded by the presence of variants of unknown significance for which there is inadequate evidence of pathogenicity. METHODS AND RESULTS In this study, we curated from the literature a high-quality set of 107 functionally characterized KCNQ1 variants. Based on this data set, we completed a detailed quantitative analysis on the sequence conservation patterns of subdomains of KCNQ1 and the distribution of pathogenic variants therein. We found that conserved subdomains generally are critical for channel function and are enriched with dysfunctional variants. Using this experimentally validated data set, we trained a neural network, designated Q1VarPred, specifically for predicting the functional impact of KCNQ1 variants of unknown significance. The estimated predictive performance of Q1VarPred in terms of Matthew's correlation coefficient and area under the receiver operating characteristic curve were 0.581 and 0.884, respectively, superior to the performance of 8 previous methods tested in parallel. Q1VarPred is publicly available as a web server at http://meilerlab.org/q1varpred. CONCLUSIONS Although a plethora of tools are available for making pathogenicity predictions over a genome-wide scale, previous tools fail to perform in a robust manner when applied to KCNQ1. The contrasting and favorable results for Q1VarPred suggest a promising approach, where a machine-learning algorithm is tailored to a specific protein target and trained with a functionally validated data set to calibrate informatics tools.
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Affiliation(s)
- Bian Li
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Jeffrey L Mendenhall
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Brett M Kroncke
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Keenan C Taylor
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Hui Huang
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Derek K Smith
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Carlos G Vanoye
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Jeffrey D Blume
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Alfred L George
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Charles R Sanders
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.)
| | - Jens Meiler
- From the Department of Chemistry (B.L., J.L.M., J.M.), Center for Structural Biology (B.L., J.L.M., B.M.K., K.C.T., H.H., C.R.S., J.M.), Department of Biochemistry (B.M.K., H.H., C.R.S.), and Department of Biostatistics (D.K.S., J.D.B.), Vanderbilt University, Nashville, TN; Department of Medicine, Vanderbilt University Medical Center, Nashville, TN (B.M.K., C.R.S.); and Department of Pharmacology, Northwestern University Feinberg School of Medicine, Chicago, IL (C.G.V., A.L.G.).
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14
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Zhao W, Lu G, Liu L, Sun Z, Wu M, Yi W, Chen H, Li Y, Tang L, Zeng J. Detection of Acute Myocardial Infarction in a Pig Model Using the SAN-Atrial-AVN-His (SAAH) Electrocardiogram (ECG), Model PHS-A10, an Automated and Integrated Signals Recognition System. MEDICAL SCIENCE MONITOR : INTERNATIONAL MEDICAL JOURNAL OF EXPERIMENTAL AND CLINICAL RESEARCH 2018; 24:1303-1309. [PMID: 29502127 PMCID: PMC5846368 DOI: 10.12659/msm.905961] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
BACKGROUND The aim of this study was to compare the use of the standard 12-lead electrocardiogram (ECG) with the SAN-Atrial-AVN-His (SAAH) ECG (Model PHS-A10), a new automated and integrated signals recognition system that detects micro-waveforms within the P, QRS, and T-wave, in a pig model of acute myocardial infarction (MI). MATERIAL AND METHODS Six medium-sized domestic Chinese pigs underwent general anesthesia, and an angioplasty balloon was placed and dilated for 120 minutes in the first diagonal coronary artery arising from the left anterior descending (LAD) coronary artery. A standard ECG and a SAAH ECG (Model PHS-A10) were used to evaluate: 1) the number of wavelets in ST-T segment in lead V5; 2) the duration of the repolarization initial (Ri), or duration of the wavelets starting from the J-point to the endpoint of the wavelets in the ST interval; 3) the duration of the repolarization terminal (Rt), of the wavelets, starting from the endpoint of the wavelets in the ST interval to the cross-point of the T-wave and baseline; 4) the ratio Ri: Rt. RESULTS Following coronary artery occlusion, duration of Ri and Ri/Rt increased, and Rt decreased, which was detected by the SAAH ECG (Model PHS-A10) within 12 seconds, compared with standard ECG that detected ST segment depression at 24 seconds following coronary artery occlusion. CONCLUSIONS The findings from this preliminary study in a pig model of acute MI support the need for clinical studies to evaluate the SAAH ECG (Model PHS-A10) for the early detection of acute MI.
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Affiliation(s)
- Wenjiao Zhao
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Guihua Lu
- Division of Cardiology, First Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangdong, China (mainland)
| | - Li Liu
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Zhishan Sun
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Mingxin Wu
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Wenyan Yi
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Haiyan Chen
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Yanhui Li
- Division of Cardiology, Tongji Hospital Affiliated to Huazhong Technology, University Wuhan, Wuhan, Hubei, China (mainland)
| | - Lilong Tang
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
| | - Jianping Zeng
- Division of Cardiology, Xiangtan Central Hospital, Xiangtan, Hunan, China (mainland)
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15
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Mellor G, Laksman ZWM, Tadros R, Roberts JD, Gerull B, Simpson CS, Klein GJ, Champagne J, Talajic M, Gardner M, Steinberg C, Arbour L, Birnie DH, Angaran P, Leather R, Sanatani S, Chauhan VS, Seifer C, Healey JS, Krahn AD. Genetic Testing in the Evaluation of Unexplained Cardiac Arrest: From the CASPER (Cardiac Arrest Survivors With Preserved Ejection Fraction Registry). ACTA ACUST UNITED AC 2018; 10:CIRCGENETICS.116.001686. [PMID: 28600387 DOI: 10.1161/circgenetics.116.001686] [Citation(s) in RCA: 79] [Impact Index Per Article: 11.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/06/2016] [Accepted: 03/27/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND Unexplained cardiac arrest may be because of an inherited arrhythmia syndrome. The role of genetic testing in cardiac arrest survivors without a definite clinical phenotype is unclear. METHODS AND RESULTS The CASPER (Cardiac Arrest Survivors with Preserved Ejection Fraction Registry) is a large registry of cardiac arrest survivors where initial assessment reveals normal coronary arteries, left ventricular function, and resting ECG. Of 375 cardiac arrest survivors in CASPER from 2006 to 2015, 174 underwent genetic testing. Patients were classified as phenotype-positive (n=72) or phenotype-negative (n=102). Genetic testing was performed at treating physicians' discretion in line with contemporary guidelines and availability. All genetic variants identified from original laboratory reports were reassessed by the investigators in line with modern criteria. Pathogenic variants were identified in 29 (17%) patients (60% channelopathy-associated and 40% cardiomyopathy-associated genes) and 70 variants of unknown significance were identified in 32 (18%) patients. Prior syncope (odds ratio, 4.0; 95% confidence interval, 1.6-9.7) and a family history of sudden death (odds ratio, 3.2; 95% confidence interval, 1.1-9.4) were independently associated with the presence of a pathogenic variant. In phenotype-negative patients, broad multiphenotype genetic testing led to higher yields (21% versus 8%; P=0.04) but was associated with more variants of unknown significance (55% versus 5%; P<0.01). CONCLUSIONS Genetic testing identifies a pathogenic variant in a significant proportion of unexplained cardiac arrest survivors. Prior syncope and family history of sudden death are predictors of a positive genetic test. Both arrhythmia and cardiomyopathy genes are implicated. Broad, multiphenotype testing revealed the highest frequency of pathogenic variants in phenotype-negative patients. CLINICAL TRIAL REGISTRATION https://www.clinicaltrials.gov. Unique Identifier: NCT00292032.
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16
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Velcea AE, Siliste C, Vinereanu D. Catecholaminergic Polymorphic Ventricular Tachycardia - Looking to the Future. MAEDICA 2017; 12:306-310. [PMID: 29610596 PMCID: PMC5879582] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Abstract
Catecholaminergic polymorphic ventricular tachycardia (CPVT) is a rare inheritable cardiac disorder, characterized by polymorphic ventricular tachycardia (PVT) or bidirectional ventricular tachycardia, triggered by adrenergic stress, and manifested most frequently as syncope or sudden cardiac death. The disease has a heterogeneous genetic basis, with mutations in the genes encoding the ryanodine and calsequestrin channels accounting for the majority of cases. The diagnosis of CPVT is established in individuals with polymorphic ventricular premature beats, PVT or bidirectional ventricular tachycardia documented during exercise or adrenergic stress, who have a structurally normal heart and normal resting ECG. Genetic testing completes the diagnosis, but is limited by the fact that, to date, about one third of cases are genotype-unknown. Treatment strategies have improved as the knowledge of the disease has evolved, and several therapeutic options are now available. They include pharmacologic measures (especially non-selective beta-blockers and flecainide), but also more complex interventions, such implantation of internal cardiac defibrillators and left cardiac sympathetic denervation. There are many unknowns to CPVT, but one that is essential to clinical practice is risk stratification, which will aid in a more targeted treatment of these patients. This goal is to be achieved by creating large patient registries and bio-banks, and ultimately by incorporating both clinical and genetic data into a risk stratification score.
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Affiliation(s)
| | - Calin Siliste
- "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
| | - Dragos Vinereanu
- "Carol Davila" University of Medicine and Pharmacy, Bucharest, Romania
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17
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Giudicessi JR, Kullo IJ, Ackerman MJ. Precision Cardiovascular Medicine: State of Genetic Testing. Mayo Clin Proc 2017; 92:642-662. [PMID: 28385198 PMCID: PMC6364981 DOI: 10.1016/j.mayocp.2017.01.015] [Citation(s) in RCA: 45] [Impact Index Per Article: 5.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/27/2016] [Revised: 12/23/2016] [Accepted: 01/30/2017] [Indexed: 01/11/2023]
Abstract
In the 15 years following the release of the first complete human genome sequences, our understanding of rare and common genetic variation as determinants of cardiovascular disease susceptibility, prognosis, and therapeutic response has grown exponentially. As such, the use of genomics to enhance the care of patients with cardiovascular diseases has garnered increased attention from clinicians, researchers, and regulatory agencies eager to realize the promise of precision genomic medicine. However, owing to a large burden of "complex" common diseases, emphasis on evidence-based practice, and a degree of unfamiliarity/discomfort with the language of genomic medicine, the development and implementation of genomics-guided approaches designed to further individualize the clinical management of a variety of cardiovascular disorders remains a challenge. In this review, we detail a practical approach to genetic testing initiation and interpretation as well as review the current state of cardiovascular genetic and pharmacogenomic testing in the context of relevant society and regulatory agency recommendations/guidelines.
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Affiliation(s)
- John R Giudicessi
- Department of Internal Medicine, Internal Medicine Residency Program, Clinician-Investigator Training Program, Mayo Clinic, Rochester, MN
| | - Iftikhar J Kullo
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN; Gonda Vascular Center, Mayo Clinic, Rochester, MN.
| | - Michael J Ackerman
- Department of Cardiovascular Diseases, Mayo Clinic, Rochester, MN; Division of Heart Rhythm Services, Mayo Clinic, Rochester, MN; Department of Pediatric and Adolescent Medicine, Division of Pediatric Cardiology, Mayo Clinic, Rochester, MN; Department of Molecular Pharmacology and Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN.
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18
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Evans WN, Acherman RJ, Law IH, Von Bergen NH, Samson RA, Restrepo H. Neonatal complex arrhythmias possibly related to a TTN mutation. J Neonatal Perinatal Med 2017; 10:343-346. [PMID: 28854511 DOI: 10.3233/npm-16120] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
We describe a neonate born with complex arrhythmias that included concurrent atrial and ventricular tachycardias. Genetic testing demonstrated a mutation in the TTN gene, which codes for titin, a large protein found in striated muscle sarcomeres. The complex arrhythmias were successfully treated with amiodarone and flecainide. The patient remains asymptomatic with normal biventricular function. We speculate that the complex arrhythmias and TTN gene mutation may be related.
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Affiliation(s)
- William N Evans
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Nevada, Reno School of Medicine, Las Vegas, NV, USA
| | - Ruben J Acherman
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Nevada, Reno School of Medicine, Las Vegas, NV, USA
| | - Ian H Law
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Iowa Carver College of Medicine, Iowa City, USA
| | - Nicholas H Von Bergen
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Wisconsin-Madison, Madison, WI, USA
| | - Ricardo A Samson
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Nevada, Reno School of Medicine, Las Vegas, NV, USA
| | - Humberto Restrepo
- Children's Heart Center Nevada, Las Vegas, NV, USA
- Department of Pediatrics, Division of Cardiology, University of Nevada, Reno School of Medicine, Las Vegas, NV, USA
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Mizusawa Y. Recent advances in genetic testing and counseling for inherited arrhythmias. J Arrhythm 2016; 32:389-397. [PMID: 27761163 PMCID: PMC5063262 DOI: 10.1016/j.joa.2015.12.009] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2015] [Revised: 12/01/2015] [Accepted: 12/17/2015] [Indexed: 12/19/2022] Open
Abstract
Inherited arrhythmias, such as cardiomyopathies and cardiac ion channelopathies, along with coronary heart disease (CHD) are three most common disorders that predispose adults to sudden cardiac death. In the last three decades, causal genes in inherited arrhythmias have been successfully identified. At the same time, it has become evident that the genetic architectures are more complex than previously known. Recent advancements in DNA sequencing technology (next generation sequencing) have enabled us to study such complex genetic traits. This article discusses indications for genetic testing of patients with inherited arrhythmias. Further, it describes the benefits and challenges that we face in the era of next generation sequencing. Finally, it briefly discusses genetic counseling, in which a multidisciplinary approach is required due to the increased complexity of the genetic information related to inherited arrhythmias.
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Key Words
- ARVD/C, arrhythmogenic right ventricular dysplasia/cardiomyopathy
- BrS, Brugada syndrome
- CHD, coronary heart disease
- CPVT, catecholaminergic polymorphic ventricular tachycardia
- Cardiac ion channelopathies
- Cardiomyopathies
- DCM, dilated cardiomyopathy
- GWAS, genome wide association study
- Genetic counseling
- Genetic testing
- HCM, hypertrophic cardiomyopathy
- HF, heart failure
- ICD, implantable cardioverter defibrillator
- Inherited arrhythmias
- LQTS, long QT syndrome
- NGS, next generation sequencing
- SCD, sudden cardiac death
- VA, ventricular arrhythmia
- VF, ventricular fibrillation
- WES, whole exome sequencing
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Affiliation(s)
- Yuka Mizusawa
- Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam, Room K2-115, Meibergdreef 9, 1105AZ Amsterdam, The Netherlands
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Abstract
Ion channels are critical for all aspects of cardiac function, including rhythmicity and contractility. Consequently, ion channels are key targets for therapeutics aimed at cardiac pathophysiologies such as atrial fibrillation or angina. At the same time, off-target interactions of drugs with cardiac ion channels can be the cause of unwanted side effects. This manuscript aims to review the physiology and pharmacology of key cardiac ion channels. The intent is to highlight recent developments for therapeutic development, as well as elucidate potential mechanisms for drug-induced cardiac side effects, rather than present an in-depth review of each channel subtype.
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A viewpoint on monitoring strategies in a patient with Bruguda Syndrome. A commentary by Dr Andreas Vogt. TRENDS IN ANAESTHESIA AND CRITICAL CARE 2015. [DOI: 10.1016/j.tacc.2015.06.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022]
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22
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Allegue C, Coll M, Mates J, Campuzano O, Iglesias A, Sobrino B, Brion M, Amigo J, Carracedo A, Brugada P, Brugada J, Brugada R. Genetic Analysis of Arrhythmogenic Diseases in the Era of NGS: The Complexity of Clinical Decision-Making in Brugada Syndrome. PLoS One 2015; 10:e0133037. [PMID: 26230511 PMCID: PMC4521779 DOI: 10.1371/journal.pone.0133037] [Citation(s) in RCA: 45] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2015] [Accepted: 06/23/2015] [Indexed: 12/19/2022] Open
Abstract
BACKGROUND The use of next-generation sequencing enables a rapid analysis of many genes associated with sudden cardiac death in diseases like Brugada Syndrome. Genetic variation is identified and associated with 30-35% of cases of Brugada Syndrome, with nearly 20-25% attributable to variants in SCN5A, meaning many cases remain undiagnosed genetically. To evaluate the role of genetic variants in arrhythmogenic diseases and the utility of next-generation sequencing, we applied this technology to resequence 28 main genes associated with arrhythmogenic disorders. MATERIALS AND METHODS A cohort of 45 clinically diagnosed Brugada Syndrome patients classified as SCN5A-negative was analyzed using next generation sequencing. Twenty-eight genes were resequenced: AKAP9, ANK2, CACNA1C, CACNB2, CASQ2, CAV3, DSC2, DSG2, DSP, GPD1L, HCN4, JUP, KCNE1, KCNE2, KCNE3, KCNH2, KCNJ2, KCNJ5, KCNQ1, NOS1AP, PKP2, RYR2, SCN1B, SCN3B, SCN4B, SCN5A, SNTA1, and TMEM43. A total of 85 clinically evaluated relatives were also genetically analyzed to ascertain familial segregation. RESULTS AND DISCUSSION Twenty-two patients carried 30 rare genetic variants in 12 genes, only 4 of which were previously associated with Brugada Syndrome. Neither insertion/deletion nor copy number variation were detected. We identified genetic variants in novel candidate genes potentially associated to Brugada Syndrome. These include: 4 genetic variations in AKAP9 including a de novo genetic variation in 3 positive cases; 5 genetic variations in ANK2 detected in 4 cases; variations in KCNJ2 together with CASQ2 in 1 case; genetic variations in RYR2, including a de novo genetic variation and desmosomal proteins encoding genes including DSG2, DSP and JUP, detected in 3 of the cases. Larger gene panels or whole exome sequencing should be considered to identify novel genes associated to Brugada Syndrome. However, application of approaches such as whole exome sequencing would difficult the interpretation for clinical purposes due to the large amount of data generated. The identification of these genetic variants opens new perspectives on the implications of genetic background in the arrhythmogenic substrate for research purposes. CONCLUSIONS As a paradigm for other arrhythmogenic diseases and for unexplained sudden death, our data show that clinical genetic diagnosis is justified in a family perspective for confirmation of genetic causality. In the era of personalized medicine using high-throughput tools, clinical decision-making is increasingly complex.
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Affiliation(s)
- Catarina Allegue
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
| | - Mònica Coll
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
| | - Jesus Mates
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
| | - Oscar Campuzano
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
| | - Anna Iglesias
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
| | - Beatriz Sobrino
- Grupo Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - Maria Brion
- Grupo Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - Jorge Amigo
- Grupo Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - Angel Carracedo
- Grupo Medicina Xenómica, Instituto de Investigación Sanitaria de Santiago de Compostela, Santiago de Compostela, Spain
- Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
- Center of Excellence in Genomic Medicine Research (CEGMR), King Abdulaziz University, Jeddah, Saudi Arabia
| | - Pedro Brugada
- Heart Rhythm Management Center, UZ Brussel-VUB, Brussels, Belgium
| | - Josep Brugada
- Cardiology Unit, Hospital Clínic, Universitat de Barcelona, Barcelona, Spain
| | - Ramon Brugada
- Cardiovascular Genetics Center, IdIBGi-Universitat de Girona, Girona, Spain
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New micro waveforms firstly recorded on electrocardiogram in human. Med Hypotheses 2015; 85:475-9. [PMID: 26175194 DOI: 10.1016/j.mehy.2015.06.034] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2015] [Revised: 06/27/2015] [Accepted: 06/30/2015] [Indexed: 11/24/2022]
Abstract
In our study, not only the P-QRS-T waves but also the micro-wavelets before QRS complex (in P wave and PR segment) and after QRS complex (ST segment and upstroke of T wave) were first to be identified on surface electrocardiogram in human by the "new electrocardiogram" machine (model PHS-A10) according to conventional 12-lead electrocardiogram connection methods. By comparison to the conventional electrocardiogram in 100 cases of healthy individuals and several patients with arrhythmias, we have found that the wavelets before P wave theoretically reflected electrical activity of sinus node and the micro-wavelets before QRS complex may be related to atrioventricular conduction system (atrioventricular node, His bundle and bundle branch) potentials. Noninvasive atrioventricular node and His bundle potential tracing will contribute to differentiation of the origin of wide QRS and the location of the atrioventricular block. We also have found that the wavelets after QRS complex may be associated with phase 2 and 3 repolarization of ventricular action potential, which will further reveal ventricular repolarization changes.
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24
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Behr ER, Savio-Galimberti E, Barc J, Holst AG, Petropoulou E, Prins BP, Jabbari J, Torchio M, Berthet M, Mizusawa Y, Yang T, Nannenberg EA, Dagradi F, Weeke P, Bastiaenan R, Ackerman MJ, Haunso S, Leenhardt A, Kääb S, Probst V, Redon R, Sharma S, Wilde A, Tfelt-Hansen J, Schwartz P, Roden DM, Bezzina CR, Olesen M, Darbar D, Guicheney P, Crotti L, Jamshidi Y. Role of common and rare variants in SCN10A: results from the Brugada syndrome QRS locus gene discovery collaborative study. Cardiovasc Res 2015; 106:520-9. [PMID: 25691538 PMCID: PMC4447806 DOI: 10.1093/cvr/cvv042] [Citation(s) in RCA: 82] [Impact Index Per Article: 8.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/20/2015] [Accepted: 01/27/2015] [Indexed: 12/19/2022] Open
Abstract
AIMS Brugada syndrome (BrS) remains genetically heterogeneous and is associated with slowed cardiac conduction. We aimed to identify genetic variation in BrS cases at loci associated with QRS duration. METHODS AND RESULTS A multi-centre study sequenced seven candidate genes (SCN10A, HAND1, PLN, CASQ2, TKT, TBX3, and TBX5) in 156 Caucasian SCN5A mutation-negative BrS patients (80% male; mean age 48) with symptoms (64%) and/or a family history of sudden death (47%) or BrS (18%). Forty-nine variants were identified: 18 were rare (MAF <1%) and non-synonymous; and 11/18 (61.1%), mostly in SCN10A, were predicted as pathogenic using multiple bioinformatics tools. Allele frequencies were compared with the Exome Sequencing and UK10K Projects. SKAT methods tested rare variation in SCN10A finding no statistically significant difference between cases and controls. Co-segregation analysis was possible for four of seven probands carrying a novel pathogenic variant. Only one pedigree (I671V/G1299A in SCN10A) showed co-segregation. The SCN10A SNP V1073 was, however, associated strongly with BrS [66.9 vs. 40.1% (UK10K) OR (95% CI) = 3.02 (2.35-3.87), P = 8.07 × 10-19]. Voltage-clamp experiments for NaV1.8 were performed for SCN10A common variants V1073, A1073, and rare variants of interest: A200V and I671V. V1073, A200V and I671V, demonstrated significant reductions in peak INa compared with ancestral allele A1073 (rs6795970). CONCLUSION Rare variants in the screened QRS-associated genes (including SCN10A) are not responsible for a significant proportion of SCN5A mutation negative BrS. The common SNP SCN10A V1073 was strongly associated with BrS and demonstrated loss of NaV1.8 function, as did rare variants in isolated patients.
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Affiliation(s)
- Elijah R Behr
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
| | - Eleonora Savio-Galimberti
- Divisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Julien Barc
- Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, Netherlands
| | - Anders G Holst
- Laboratory for Molecular Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark Novo Nordisk A/S, Denmark
| | - Evmorfia Petropoulou
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
| | - Bram P Prins
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
| | - Javad Jabbari
- Laboratory for Molecular Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark LEO Pharma A/S, Denmark
| | - Margherita Torchio
- IRCCS Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin, Milan, Italy
| | - Myriam Berthet
- Inserm, UMR S1166, Faculté de Médecine Pierre et Marie Curie, Paris, France Sorbonne Universités, UPMC Univ Paris 06, UMR S1166, Paris, France Institute of Cardiometabolism & Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
| | - Yuka Mizusawa
- Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, Netherlands
| | - Tao Yang
- Divisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | | | - Federica Dagradi
- IRCCS Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin, Milan, Italy
| | - Peter Weeke
- Divisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Rachel Bastiaenan
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
| | - Michael J Ackerman
- Division of Cardiovascular Diseases, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA Division of Pediatric Cardiology, Department of Pediatrics & Adolescent Medicine, Mayo Clinic, Rochester, MN, USA
| | - Stig Haunso
- Laboratory for Molecular Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark Department of Medicine and Surgery, University of Copenhagen, Copenhagen, Denmark
| | - Antoine Leenhardt
- AP-HP, Hôpital Bichat, Service de Cardiologie et Centre de Référence des Maladies Cardiaques Héréditaires, Paris, France
| | - Stefan Kääb
- Institute of Human Genetics, Helmholtz Zentrum München, Neuherberg, Germany
| | - Vincent Probst
- Inserm, UMR 1087, l'institut du Thorax, Nantes, France CHU Nantes, l'institut du Thorax, Service de Cardiologie, Nantes, France
| | - Richard Redon
- Inserm, UMR 1087, l'institut du Thorax, Nantes, France CHU Nantes, l'institut du Thorax, Service de Cardiologie, Nantes, France
| | - Sanjay Sharma
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
| | - Arthur Wilde
- Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, Netherlands Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders, Jeddah, Kingdom of Saudi Arabia
| | - Jacob Tfelt-Hansen
- Laboratory for Molecular Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark Department of Medicine and Surgery, University of Copenhagen, Copenhagen, Denmark
| | - Peter Schwartz
- IRCCS Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin, Milan, Italy
| | - Dan M Roden
- Divisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Connie R Bezzina
- Department of Clinical and Experimental Cardiology, Academic Medical Center, Amsterdam, Netherlands
| | - Morten Olesen
- Laboratory for Molecular Cardiology, The Heart Centre, Rigshospitalet, University of Copenhagen, Copenhagen, Denmark Danish National Research Foundation Centre for Cardiac Arrhythmia, Copenhagen, Denmark
| | - Dawood Darbar
- Divisions of Cardiovascular Medicine and Clinical Pharmacology, Vanderbilt University, Nashville, TN, USA
| | - Pascale Guicheney
- Inserm, UMR S1166, Faculté de Médecine Pierre et Marie Curie, Paris, France Sorbonne Universités, UPMC Univ Paris 06, UMR S1166, Paris, France Institute of Cardiometabolism & Nutrition, ICAN, Pitié-Salpêtrière Hospital, Paris, France
| | - Lia Crotti
- IRCCS Istituto Auxologico Italiano, Center for Cardiac Arrhythmias of Genetic Origin, Milan, Italy Inserm, UMR 1087, l'institut du Thorax, Nantes, France Department of Molecular Medicine, University of Pavia, Pavia, Italy
| | - Yalda Jamshidi
- Human Genetics Research Centre, ICCS, St George's University of London, London SW17 0RE, UK
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Schulze-Bahr E, Klaassen S, Abdul-Khaliq H, Schunkert H. Gendiagnostik bei kardiovaskulären Erkrankungen. KARDIOLOGE 2015. [DOI: 10.1007/s12181-014-0636-2] [Citation(s) in RCA: 31] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
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26
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Riuró H, Campuzano O, Berne P, Arbelo E, Iglesias A, Pérez-Serra A, Coll-Vidal M, Partemi S, Mademont-Soler I, Picó F, Allegue C, Oliva A, Gerstenfeld E, Sarquella-Brugada G, Castro-Urda V, Fernández-Lozano I, Mont L, Brugada J, Scornik FS, Brugada R. Genetic analysis, in silico prediction, and family segregation in long QT syndrome. Eur J Hum Genet 2015; 23:79-85. [PMID: 24667783 PMCID: PMC4266740 DOI: 10.1038/ejhg.2014.54] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2013] [Revised: 01/23/2014] [Accepted: 02/19/2014] [Indexed: 01/24/2023] Open
Abstract
The heritable cardiovascular disorder long QT syndrome (LQTS), characterized by prolongation of the QT interval on electrocardiogram, carries a high risk of sudden cardiac death. We sought to add new data to the existing knowledge of genetic mutations contributing to LQTS to both expand our understanding of its genetic basis and assess the value of genetic testing in clinical decision-making. Direct sequencing of the five major contributing genes, KCNQ1, KCNH2, SCN5A, KCNE1, and KCNE2, was performed in a cohort of 115 non-related LQTS patients. Pathogenicity of the variants was analyzed using family segregation, allele frequency from public databases, conservation analysis, and Condel and Provean in silico predictors. Phenotype-genotype correlations were analyzed statistically. Sequencing identified 36 previously described and 18 novel mutations. In 51.3% of the index cases, mutations were found, mostly in KCNQ1, KCNH2, and SCN5A; 5.2% of cases had multiple mutations. Pathogenicity analysis revealed 39 mutations as likely pathogenic, 12 as VUS, and 3 as non-pathogenic. Clinical analysis revealed that 75.6% of patients with QTc≥500 ms were genetically confirmed. Our results support the use of genetic testing of KCNQ1, KCNH2, and SCN5A as part of the diagnosis of LQTS and to help identify relatives at risk of SCD. Further, the genetic tools appear more valuable as disease severity increases. However, the identification of genetic variations in the clinical investigation of single patients using bioinformatic tools can produce erroneous conclusions regarding pathogenicity. Therefore segregation studies are key to determining causality.
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Affiliation(s)
- Helena Riuró
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
| | - Oscar Campuzano
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
| | - Paola Berne
- Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Anna Iglesias
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
| | - Alexandra Pérez-Serra
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Mònica Coll-Vidal
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Institute of Forensic Medicine, Catholic University, Rome, Italy
| | - Sara Partemi
- Institute of Forensic Medicine, Catholic University, Rome, Italy
| | - Irene Mademont-Soler
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Ferran Picó
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
| | - Catarina Allegue
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
| | - Antonio Oliva
- Institute of Forensic Medicine, Catholic University, Rome, Italy
| | | | | | | | | | - Lluís Mont
- Hospital Clínic de Barcelona, Barcelona, Spain
| | | | - Fabiana S Scornik
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
| | - Ramon Brugada
- Cardiovascular Genetics Center, Institut d'Investigació Biomèdica de Girona, Girona, Spain
- Department of Medical Sciences, Medical School, Universitat de Girona, Girona, Spain
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Abstract
Advances in the understanding and treatment of cardiac disorders have been thwarted by the inability to study beating human cardiac cells in vitro. Induced pluripotent stem cells (iPSCs) bypass this hurdle by enabling the creation of patient-specific iPSC-derived cardiomyocytes (iPSC-CMs). These cells provide a unique platform to study cardiac diseases in vitro, especially hereditary cardiac conditions. To date, iPSC-CMs have been used to successfully model arrhythmic disorders, showing excellent recapitulation of cardiac channel function and electrophysiologic features of long QT syndrome types 1, 2, 3, and 8, and catecholaminergic polymorphic ventricular tachycardia (CPVT). Similarly, iPSC-CM models of dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM) have shown robust correlation of predicted morphologic, contractile, and electrical phenotypes. In addition, iPSC-CMs have shown some features of the respective phenotypes for arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C), LEOPARD syndrome, Pompe's disease, and Friedriech's ataxia. In this review, we examine the progress of utilizing iPSC-CMs as a model for cardiac conditions and analyze the potential for the platform in furthering the biology and treatment of cardiac disorders.
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28
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Affiliation(s)
- Yuka Mizusawa
- The Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam
| | - Minoru Horie
- Department of Cardiovascular and Respiratory Medicine, Shiga University of Medical Science
| | - Arthur AM Wilde
- The Heart Failure Research Center, Department of Clinical and Experimental Cardiology, Academic Medical Center, University of Amsterdam
- Princess Al-Jawhara Al-Brahim Centre of Excellence in Research of Hereditary Disorders, King Abdulaziz University
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Tang Y, Stahl-Herz J, Sampson BA. Molecular diagnostics of cardiovascular diseases in sudden unexplained death. Cardiovasc Pathol 2014; 23:1-4. [DOI: 10.1016/j.carpath.2013.09.002] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/13/2013] [Revised: 08/15/2013] [Accepted: 09/18/2013] [Indexed: 10/26/2022] Open
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30
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Zumhagen S, Friedrich C, Stallmeyer B, Ising J, Seebohm G, Schulze-Bahr E. Monogene kardiale Ionenkanalerkrankungen. MED GENET-BERLIN 2013. [DOI: 10.1007/s11825-013-0429-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
Abstract
Zusammenfassung
Genetisch bedingte (monogene) Herzerkrankungen bedürfen einer sorgsamen klinischen, genetischen und familiären Diagnostik, da die Erkrankungen mit einem hohen kardiovaskulären Risiko in jungen Jahren assoziiert sein können.
Es handelt sich zumeist um Erkrankungen durch Ionenkanalgenmutationen, die genetisch heterogen und von einer unterschiedlichen Sensitivität in der Mutationsdetektion (pro Erkrankung oder Ionenkanalgen) gekennzeichnet sind. In Analogie zu anderen Ionenkanalerkrankungen besteht oft ein episodisches Auftreten von Symptomen, das durch Trigger (meist erhöhte Herzfrequenz bei körperlicher und/oder physischer Belastung) gefördert werden kann.
Bei diesen relativ seltenen Erkrankungen ist eine frühzeitige Diagnostik und interdisziplinäre Betreuung durch Kardiologen, Kinderkardiologen und Humangenetikern (und ggf. Psychologen) sinnvoll. Mittlerweile existieren erste internationale Empfehlungen, wann eine Genotypisierung aus diagnostischer, therapeutischer oder prognostischer Sicht durchzuführen ist.
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Affiliation(s)
- S. Zumhagen
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
| | - C. Friedrich
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
| | - B. Stallmeyer
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
| | - J. Ising
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
| | - G. Seebohm
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
- Aff2 grid.16149.3b Interdisziplinäres Zentrum für Klinische Forschung (IZKF) Universitätsklinikum Münster Münster Deutschland
| | - E. Schulze-Bahr
- Aff1 grid.16149.3b Institut für Genetik von Herzerkrankungen (IfGH), Department für Kardiologie und Angiologie Universitätsklinikum Münster (UKM) Albert-Schweitzer-Campus 1, Gebäude D3 48149 Münster Deutschland
- Aff2 grid.16149.3b Interdisziplinäres Zentrum für Klinische Forschung (IZKF) Universitätsklinikum Münster Münster Deutschland
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Laksman Z, Dulay D, Gollob M, Skanes A, Krahn A. Evolution of a genetic diagnosis. Clin Genet 2013; 86:580-4. [DOI: 10.1111/cge.12320] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2013] [Revised: 10/29/2013] [Accepted: 11/12/2013] [Indexed: 11/26/2022]
Affiliation(s)
- Z. Laksman
- Department of Cardiac Electrophysiology; Western University; London Ontario Canada
| | - D. Dulay
- Department of Cardiology; Heart Health Physicians; Victoria British Columbia Canada
| | - M.H. Gollob
- Ottawa Heart Institute; University of Ottawa; Ottawa Ontario Canada
| | - A.C. Skanes
- Department of Cardiology; Western University; London Ontario Canada
| | - A.D. Krahn
- Department of Cardiology; University of British Columbia; Vancouver British Columbia Canada
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Non optical semi-conductor next generation sequencing of the main cardiac QT-interval duration genes in pooled DNA samples. J Cardiovasc Transl Res 2013; 7:133-7. [PMID: 24190697 DOI: 10.1007/s12265-013-9516-6] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/01/2013] [Accepted: 10/21/2013] [Indexed: 12/20/2022]
Abstract
DNA variants at the genes encoding cardiac channels have been associated with inherited arrhythmias and the QT interval in the general population. Next generation sequencing technologies would be of special interest to uncover the genetic variation at these genes. The amplification and sequencing of DNA pools (instead of single individuals) would facilitate the rapid and cost-effective screening of large amounts of individuals. However, this pooling strategy could result in a signal of the rare variants below the detection capacity. To validate this approach, a pool of 20 individuals with known rare unique variants in five genes was amplified in only two tubes and sequenced using the non optical semi-conductor (Ion Torrent PGM, Life Technologies) technology. We show that this could be an effective strategy for the screening of large cohorts. Among others, this would facilitate the discovery of new sequence variants linked to cardiac arrhythmia in the general population.
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Abstract
Congenital long QT syndrome (LQTS) is a genetically heterogeneous group of heritable disorders of myocardial repolarization linked by the shared clinical phenotype of QT prolongation on electrocardiogram and an increased risk of potentially life-threatening cardiac arrhythmias. At the molecular level, mutations in 15 distinct LQTS-susceptibility genes that encode ion channel pore-forming α-subunits and accessory β-subunits central to the electromechanical function of the heart have been implicated in its pathogenesis. Over the past 2 decades, our evolving understanding of the electrophysiological mechanisms by which specific genetic substrates perturb the cardiac action potential has translated into vastly improved approaches to the diagnosis, risk stratification, and treatment of patients with LQTS. In this review, we describe how our understanding of the molecular underpinnings of LQTS has yielded numerous clinically meaningful genotype-phenotype correlations and how these insights have translated into genotype- and phenotype-guided approaches to the clinical management of LQTS.
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Affiliation(s)
| | - Michael J. Ackerman
- Departments of Medicine (Division of Cardiovascular Diseases), Pediatrics (Division of Pediatric Cardiology), and Molecular Pharmacology & Experimental Therapeutics, Windland Smith Rice Sudden Death Genomics Laboratory, Mayo Clinic, Rochester, MN
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Vyas V, Lambiase PD. The investigation of sudden arrhythmic death syndrome (SADS)-the current approach to family screening and the future role of genomics and stem cell technology. Front Physiol 2013; 4:199. [PMID: 24062688 PMCID: PMC3771072 DOI: 10.3389/fphys.2013.00199] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2013] [Accepted: 07/11/2013] [Indexed: 11/14/2022] Open
Abstract
SADS is defined as sudden death under the age of 40 years old in the absence of structural heart disease. Family screening studies are able to identify a cause in up to 50% of cases-most commonly long QT syndrome (LQTS), Brugada and early repolarization syndrome, and catecholaminergic polymorphic ventricular tachycardia (CPVT) using standard clinical screening investigations including pharmacological challenge testing. These diagnoses may be supported by genetic testing which can aid cascade screening and may help guide management. In the current era it is possible to undertake molecular autopsy provided suitable samples of DNA can be obtained from the proband. With the evolution of rapid sequencing techniques it is possible to sequence the whole exome for candidate genes. This major advance offers the opportunity to identify novel causes of lethal arrhythmia but also poses the challenge of managing the volume of data generated and evaluating variants of unknown significance (VUS). The emergence of induced pluripotent stem cell technology could enable evaluation of the electrophysiological relevance of specific ion channel mutations in the proband or their relatives and will potentially enable screening of idiopathic ventricular fibrillation survivors combining genetic and electrophysiological studies in derived myocytes. This also could facilitate the assessment of personalized preventative pharmacological therapies. This review will evaluate the current screening strategies in SADS families, the role of molecular autopsy and genetic testing and the potential applications of molecular and cellular diagnostic strategies on the horizon.
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Affiliation(s)
- Vishal Vyas
- Barnet and Chase Farm Hospitals NHS Trust, Medicine Enfield, UK
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