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Fang T, Wang J, Kang Y, Yang F, Xu Y, Wan K, Sun J, Han Y, Chen Y. The Value of Cardiac Magnetic Resonance Imaging in Identification of Rare Diseases Mimicking Hypertrophic Cardiomyopathy. J Clin Med 2021; 10:jcm10153339. [PMID: 34362124 PMCID: PMC8348460 DOI: 10.3390/jcm10153339] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2021] [Accepted: 07/23/2021] [Indexed: 02/05/2023] Open
Abstract
Background: The cardiac Magnetic Resonance Imaging (MRI) characteristics of rare diseases with the hypertrophic cardiomyopathy (HCM) phenotype are not well defined. Methods: Seventy-three sequential patients and 34 of their relatives, who have the HCM phenotype, were included. All subjects underwent cardiac MRI and genetic testing. Results: Of these 107 patients with phenotypic HCM, seven rare diseases were identified: four cases with LAMP2, one case with PRKAG2, one case with TTR mutation, and one case with senile systemic amyloidosis. Subjects with rare diseases had diffuse LGE, and the percentage of those with LGE was significantly higher than that of other HCM (median: 18.9%, interquartile range (IQR): 14.05 to 28.2% versus 7.8%, IQR: 4.41 to 14.56%; p = 0.003). Additionally, global T1 and ECV were significantly higher in subjects with rare diseases (global T1: 1423.1 ± 93.3 ms versus 1296.2 ± 66.6 ms; global ECV: 44.3 ± 11.5% versus 29.9 ± 4.5%; all p < 0.001). Conclusions: Cardiac MRI suggests the existence of distinct imaging characteristics, including via LGE and T1 mapping, among rare diseases that mimic HCM and HCM itself.
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Affiliation(s)
- Tingting Fang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Jie Wang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Yu Kang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Fuyao Yang
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Yuanwei Xu
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Ke Wan
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
| | - Jiayu Sun
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China;
| | - Yuchi Han
- Department of Medicine (Cardiovascular Division), University of Pennsylvania, Philadelphia, PA 19104, USA
- Correspondence: (Y.H.); (Y.C.)
| | - Yucheng Chen
- Department of Cardiology, West China Hospital, Sichuan University, Chengdu 610041, China; (T.F.); (J.W.); (Y.K.); (F.Y.); (Y.X.); (K.W.)
- Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China;
- Center of Rare Diseases, West China Hospital, Sichuan University, Chengdu 610041, China
- Correspondence: (Y.H.); (Y.C.)
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Sabater-Molina M, Pérez-Sánchez I, Hernández del Rincón J, Gimeno J. Genetics of hypertrophic cardiomyopathy: A review of current state. Clin Genet 2017; 93:3-14. [DOI: 10.1111/cge.13027] [Citation(s) in RCA: 93] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2016] [Revised: 03/13/2017] [Accepted: 03/21/2017] [Indexed: 12/18/2022]
Affiliation(s)
- M. Sabater-Molina
- Inherited Cardiac Disease Unit; University Hospital Virgen Arrixaca; Murcia Spain
- Internal Medicine Department, University of Murcia; Murcia Spain
| | - I. Pérez-Sánchez
- Inherited Cardiac Disease Unit; University Hospital Virgen Arrixaca; Murcia Spain
| | - J.P. Hernández del Rincón
- Internal Medicine Department, University of Murcia; Murcia Spain
- Pathology Department; Institute of Legal Medicine; Murcia Spain
| | - J.R. Gimeno
- Inherited Cardiac Disease Unit; University Hospital Virgen Arrixaca; Murcia Spain
- Internal Medicine Department, University of Murcia; Murcia Spain
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Brion M, Sobrino B, Martinez M, Blanco-Verea A, Carracedo A. Massive parallel sequencing applied to the molecular autopsy in sudden cardiac death in the young. Forensic Sci Int Genet 2015; 18:160-70. [PMID: 26243589 DOI: 10.1016/j.fsigen.2015.07.010] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/22/2015] [Revised: 07/06/2015] [Accepted: 07/13/2015] [Indexed: 12/18/2022]
Abstract
Sudden cardiac death in the young is a very traumatic event that occurs often in apparently healthy individuals without an explainable cause of death after a comprehensive medico-legal investigation. Knowledge about the pathologies with a risk of sudden death is increasingly showing a greater underlying genetic heterogeneity, which provides one of the main handicaps for molecular autopsy. On the other hand the enormous technological advances in sequencing technologies, allow us to analyse as many genes as we want at a cost increasingly reduced. The sum of these two factors (increased knowledge of genetics and available technologies) allow us to make an individualized study of the causes of sudden cardiac death in young adults, through massive sequencing of all potential genes involved in the process. We define this approach as massive genomic autopsy, and with this review we will try to explain the possible scenarios and methods available for its implementation.
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Affiliation(s)
- M Brion
- Xenética de Enfermidades Cardiovasculares, Instituto de Investigación Sanitaria de Santiago, Red de Investigación Cardiovascular (RIC), Santiago De Compostela, Spain; Grupo de Medicina Xenómica, University of Santiago de Compostela. Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain.
| | - B Sobrino
- Grupo de Medicina Xenómica, University of Santiago de Compostela. Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - M Martinez
- Xenética de Enfermidades Cardiovasculares, Instituto de Investigación Sanitaria de Santiago, Red de Investigación Cardiovascular (RIC), Santiago De Compostela, Spain; Grupo de Medicina Xenómica, University of Santiago de Compostela. Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - A Blanco-Verea
- Xenética de Enfermidades Cardiovasculares, Instituto de Investigación Sanitaria de Santiago, Red de Investigación Cardiovascular (RIC), Santiago De Compostela, Spain; Grupo de Medicina Xenómica, University of Santiago de Compostela. Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain
| | - A Carracedo
- Grupo de Medicina Xenómica, University of Santiago de Compostela. Fundación Pública Galega de Medicina Xenómica, SERGAS, Santiago de Compostela, Spain; Centro de Investigación Biomédica en Red de Enfermedades Rara (CIBERER), Spain; Center of Excellence in Genomic Medicine, King Abdulaziz University, Jeddah, KSA, Saudi Arabia
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Roma-Rodrigues C, Fernandes AR. Genetics of hypertrophic cardiomyopathy: advances and pitfalls in molecular diagnosis and therapy. APPLICATION OF CLINICAL GENETICS 2014; 7:195-208. [PMID: 25328416 PMCID: PMC4199654 DOI: 10.2147/tacg.s49126] [Citation(s) in RCA: 36] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Hypertrophic cardiomyopathy (HCM) is a primary disease of the cardiac muscle that occurs mainly due to mutations (>1,400 variants) in genes encoding for the cardiac sarcomere. HCM, the most common familial form of cardiomyopathy, affecting one in every 500 people in the general population, is typically inherited in an autosomal dominant pattern, and presents variable expressivity and age-related penetrance. Due to the morphological and pathological heterogeneity of the disease, the appearance and progression of symptoms is not straightforward. Most HCM patients are asymptomatic, but up to 25% develop significant symptoms, including chest pain and sudden cardiac death. Sudden cardiac death is a dramatic event, since it occurs without warning and mainly in younger people, including trained athletes. Molecular diagnosis of HCM is of the outmost importance, since it may allow detection of subjects carrying mutations on HCM-associated genes before development of clinical symptoms of HCM. However, due to the genetic heterogeneity of HCM, molecular diagnosis is difficult. Currently, there are mainly four techniques used for molecular diagnosis of HCM, including Sanger sequencing, high resolution melting, mutation detection using DNA arrays, and next-generation sequencing techniques. Application of these methods has proven successful for identification of mutations on HCM-related genes. This review summarizes the features of these technologies, highlighting their strengths and weaknesses. Furthermore, current therapeutics for HCM patients are correlated with clinically observed phenotypes and are based on the alleviation of symptoms. This is mainly due to insufficient knowledge on the mechanisms involved in the onset of HCM. Tissue engineering alongside regenerative medicine coupled with nanotherapeutics may allow fulfillment of those gaps, together with screening of novel therapeutic drugs and target delivery systems.
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Affiliation(s)
- Catarina Roma-Rodrigues
- UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus de Caparica, Caparica, Portugal
| | - Alexandra R Fernandes
- UCIBIO, Departamento de Ciências da Vida, Faculdade de Ciências e Tecnologia da Universidade Nova de Lisboa, Campus de Caparica, Caparica, Portugal ; Centro de Química Estrutural, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal
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