8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      CMR Characteristics, gene variants and long-term outcome in patients with left ventricular non-compaction cardiomyopathy

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          As the paucity of data focusing on evaluating cardiac structure and function in patients with or without gene mutation, this study was sought to investigate the correlation between genotype and cardiac magnetic resonance (CMR) phenotype in patients with left ventricular non-compaction cardiomyopathy (LVNC) and to explore prognostic relevance in this cohort if possible.

          Methods

          Patients with LVNC who underwent CMR and targeted gene sequencing between 2006 and 2016 were retrospectively evaluated. Demographic data, clinical presentation, genetic analysis, CMR data and follow-up data of all participants were collected.

          Results

          Compared to negative genotype (G−) group, patients with positive genotype (G+) had larger left atrial volume (LAV), and carriers of multiple variants had lower left ventricular (LV) ejection fraction and cardiac index, increased LV fibrosis, larger LA volume, reduced LV global circumferential strain, LA reservoir strain and booster pump strain (all p < 0.05). LA volume was able to discriminate patients with G + (all p < 0.05), as well as those with multiple genetic mutation (all p < 0.01). During a median follow-up of 5.1 years, Kaplan–Meier survival analysis revealed worse primary endpoint-free survival among carriers of multiple variants compared to G− group.

          Conclusions

          CMR feature tracking is a remarkable tool to evaluate implication, genetics cascade screen and predict outcome in LVNC population. LA volume is a sensitive and robust indicator for genetic mutational condition, of which facilities to guide clinical management and intensity of follow-up for patients and their relatives.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s13244-021-01130-2.

          Related collections

          Most cited references35

          • Record: found
          • Abstract: found
          • Article: not found

          Analysis of protein-coding genetic variation in 60,706 humans

          Summary Large-scale reference data sets of human genetic variation are critical for the medical and functional interpretation of DNA sequence changes. We describe the aggregation and analysis of high-quality exome (protein-coding region) sequence data for 60,706 individuals of diverse ethnicities generated as part of the Exome Aggregation Consortium (ExAC). This catalogue of human genetic diversity contains an average of one variant every eight bases of the exome, and provides direct evidence for the presence of widespread mutational recurrence. We have used this catalogue to calculate objective metrics of pathogenicity for sequence variants, and to identify genes subject to strong selection against various classes of mutation; identifying 3,230 genes with near-complete depletion of truncating variants with 72% having no currently established human disease phenotype. Finally, we demonstrate that these data can be used for the efficient filtering of candidate disease-causing variants, and for the discovery of human “knockout” variants in protein-coding genes.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            User's guide to correlation coefficients

            When writing a manuscript, we often use words such as perfect, strong, good or weak to name the strength of the relationship between variables. However, it is unclear where a good relationship turns into a strong one. The same strength of r is named differently by several researchers. Therefore, there is an absolute necessity to explicitly report the strength and direction of r while reporting correlation coefficients in manuscripts. This article aims to familiarize medical readers with several different correlation coefficients reported in medical manuscripts, clarify confounding aspects and summarize the naming practices for the strength of correlation coefficients.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Classification of the cardiomyopathies: a position statement from the European Society Of Cardiology Working Group on Myocardial and Pericardial Diseases.

              In biology, classification systems are used to promote understanding and systematic discussion through the use of logical groups and hierarchies. In clinical medicine, similar principles are used to standardise the nomenclature of disease. For more than three decades, heart muscle diseases have been classified into primary or idiopathic myocardial diseases (cardiomyopathies) and secondary disorders that have similar morphological appearances, but which are caused by an identifiable pathology such as coronary artery disease or myocardial infiltration (specific heart muscle diseases). In this document, The European Society of Cardiology Working Group on Myocardial and Pericardial Diseases presents an update of the existing classification scheme. The aim is to help clinicians look beyond generic diagnostic labels in order to reach more specific diagnoses.
                Bookmark

                Author and article information

                Contributors
                jielinpu@sina.cn
                coolkan@163.com
                Journal
                Insights Imaging
                Insights Imaging
                Insights into Imaging
                Springer International Publishing (Cham )
                1869-4101
                11 December 2021
                11 December 2021
                December 2021
                : 12
                : 184
                Affiliations
                [1 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, Department of Magnetic Resonance Imaging, Fuwai Hospital and National Center for Cardiovascular Diseases, , Chinese Academy of Medical Sciences, Peking Union Medical College, ; No. 167 Beilishi Road, Beijing, 100037 People’s Republic of China
                [2 ]GRID grid.24696.3f, ISNI 0000 0004 0369 153X, Department of Geriatrics, Beijing Friendship Hospital, , Capital Medical University, ; Beijing, 100050 People’s Republic of China
                [3 ]GRID grid.279885.9, ISNI 0000 0001 2293 4638, National Heart, Lung and Blood Institute (NHLBI), National, Institutes of Health (NIH), ; Bethesda, USA
                [4 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, Department of Echocardiography, Fuwai Hospital and National Center for Cardiovascular Diseases, , Chinese Academy of Medical Sciences, Peking Union Medical College, ; Beijing, People’s Republic of China
                [5 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, Key Laboratory of Cardiovascular Imaging (Cultivation), , Chinese Academy of Medical Sciences, ; Beijing, People’s Republic of China
                [6 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, The Heart-Lung Testing Center, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, , Chinese Academy of Medical Sciences, Peking Union Medical College, ; Beijing, People’s Republic of China
                [7 ]GRID grid.506261.6, ISNI 0000 0001 0706 7839, Department of Nuclear Medicine, Fuwai Hospital and National Center for Cardiovascular Diseases, , Chinese Academy of Medical Sciences, Peking Union Medical College, ; Beijing, 100037 People’s Republic of China
                [8 ]GRID grid.24516.34, ISNI 0000000123704535, Department of Cardiology, Shanghai East Hospital, , Tongji University, ; Shanghai, People’s Republic of China
                Author information
                http://orcid.org/0000-0001-8696-318X
                Article
                1130
                10.1186/s13244-021-01130-2
                8665949
                34894296
                8cc95269-d4ea-4279-ab94-6e033889f1ff
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 29 October 2021
                : 17 November 2021
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001809, National Natural Science Foundation of China;
                Award ID: 81971588
                Award Recipient :
                Funded by: Construction Research Project of Key Laboratory (Cultivation) of Chinese Academy of Medical Sciences
                Award ID: 2019PT310025
                Award Recipient :
                Funded by: Capital Clinically Characteristic Applied Research Fund
                Award ID: Z191100006619021
                Award Recipient :
                Funded by: Clinical and Translational Fund of Chinese Academy of Medical Sciences
                Award ID: 2019XK320063
                Award Recipient :
                Categories
                Original Article
                Custom metadata
                © The Author(s) 2021

                Radiology & Imaging
                left ventricular non-compaction,cardiomyopathy,genetics,cardiac magnetic resonance

                Comments

                Comment on this article