The HLA class II allele DQB1*0309 is associated with dilated cardiomyopathy

Deep learning-enabled analysis of medical images identifies cardiac sphericity as an early marker of cardiomyopathy and related outcomes

BACKGROUND

Quantification of chamber size and systolic function is a fundamental component of cardiac imaging. However, the human heart is a complex structure with significant uncharacterized phenotypic variation beyond traditional metrics of size and function. Examining variation in cardiac shape can add to our ability to understand cardiovascular risk and pathophysiology.

METHODS

We measured the left ventricle (LV) sphericity index (short axis length/long axis length) using deep learning-enabled image segmentation of cardiac magnetic resonance imaging data from the UK Biobank. Subjects with abnormal LV size or systolic function were excluded. The relationship between LV sphericity and cardiomyopathy was assessed using Cox analyses, genome-wide association studies, and two-sample Mendelian randomization.

FINDINGS

In a cohort of 38,897 subjects, we show that a one standard deviation increase in sphericity index is associated with a 47% increased incidence of cardiomyopathy (hazard ratio [HR]: 1.47, 95% confidence interval [CI]: 1.10-1.98, p = 0.01) and a 20% increased incidence of atrial fibrillation (HR: 1.20, 95% CI: 1.11-1.28, p < 0.001), independent of clinical factors and traditional magnetic resonance imaging (MRI) measurements. We identify four loci associated with sphericity at genome-wide significance, and Mendelian randomization supports non-ischemic cardiomyopathy as causal for LV sphericity.

CONCLUSIONS

Variation in LV sphericity in otherwise normal hearts predicts risk for cardiomyopathy and related outcomes and is caused by non-ischemic cardiomyopathy.

FUNDING

This study was supported by grants K99-HL157421 (D.O.) and KL2TR003143 (S.L.C.) from the National Institutes of Health.

Diagnostic Value of HLA Typing in Pathogenesis of Cardiomyopathy

Development of cardiomyopathy (CM) is dependent upon several factors. However, the reaction of the immune response against myocardial tissue due to microbial and viral infections plays an important role in this disease. Therefore, the purpose of this study is to investigate the relationship between HLAs and their pathogenic mechanisms in the incidence of CM. Relevant literature was identified by a PubMed search (1989-2017) of English-language papers using the terms "Cardiomyopathy", "Human leukocyte antigen or HLA", "immune response", and "polymorphism". If CM patients are afflicted with viral and microbial infections, HLA class II molecules, which are not expressed on myocardial tissue in normal conditions, are mainly expressed on it. As a result, these HLAs present self- antigens and provoke autoimmune responses against myocardial tissue. On the other hand, the occurrence of polymorphism as well as disrupted expression of miRNAs can affect HLA expression, leading to hypertrophy and fibrosis of cardiac muscle. Finally, it is inferred that the expression evaluation of HLAs as well as identification of polymorphisms in their coding genes can be effective diagnostic factors in the detection of people susceptible to CM.

Genomic Insights into Cardiomyopathies: A Comparative Cross-Species Review

In the global human population, the leading cause of non-communicable death is cardiovascular disease. It is predicted that by 2030, deaths attributable to cardiovascular disease will have risen to over 20 million per year. This review compares the cardiomyopathies in both human and non-human animals and identifies the genetic associations for each disorder in each species/taxonomic group. Despite differences between species, advances in human medicine can be gained by utilising animal models of cardiac disease; likewise, gains can be made in animal medicine from human genomic insights. Advances could include undertaking regular clinical checks in individuals susceptible to cardiomyopathy, genetic testing prior to breeding, and careful administration of breeding programmes (in non-human animals), further development of treatment regimes, and drugs and diagnostic techniques.

[Competence Network Heart Failure (CNHF). Together against heart failure]

Heart failure is one of the most urgent medical and socio-economic challenges of the 21(st) century. Up to three million people are affected in Germany; this means one in ten people over the age of 65  live with heart failure. The current demographic changes will accentuate the importance of this grave health problem. The care of patients with heart failure, as well as the associated research mandates a comprehensive, multidisciplinary approach. The Competence Network Heart Failure (CNHF) pursues this objective. CNHF is a research alliance with 11 sites in Germany and was funded by the Federal Ministry of Research (BMBF) from 2003 through 2014. Since January 2015, the network has been an associate cooperating partner of the German Centre for Cardiovascular Research (DZHK). During the 12-year funding period by the BMBF, scientists in the field of heart failure from 30 university hospitals, 5 research institutes, 7 heart centers, 17 cardiovascular clinics, over 200 general practitioners, 4 rehabilitation clinics, as well as numerous organizations and associations were involved in cooperative CNHF research. In the context of 22 projects, the CNHF covered basic, clinical, and health care research, and generated numerous groundbreaking insights into disease mechanisms, as well as diagnosis and treatment of heart failure, which are documented in more than 350 publications. With its central study database and bank of biomaterials, the network has set up a Europe-wide unique research resource, which can be used in the future for national and international cooperations with the DZHK and other partners. Furthermore, the CNHF strongly promotes nation- and Europe-wide public relations and heart failure awareness activities.

Pathway-based variant enrichment analysis on the example of dilated cardiomyopathy

Genome-wide association (GWA) studies have significantly contributed to the understanding of human genetic variation and its impact on clinical traits. Frequently only a limited number of highly significant associations were considered as biologically relevant. Increasingly, network analysis of affected genes is used to explore the potential role of the genetic background on disease mechanisms. Instead of first determining affected genes or calculating scores for genes and performing pathway analysis on the gene level, we integrated both steps and directly calculated enrichment on the genetic variant level. The respective approach has been tested on dilated cardiomyopathy (DCM) GWA data as showcase. To compute significance values, 5000 permutation tests were carried out and p values were adjusted for multiple testing. For 282 KEGG pathways, we computed variant enrichment scores and significance values. Of these, 65 were significant. Surprisingly, we discovered the "nucleotide excision repair" and "tuberculosis" pathways to be most significantly associated with DCM (p = 10(-9)). The latter pathway is driven by genes of the HLA-D antigen group, a finding that closely resembles previous discoveries made by expression quantitative trait locus analysis in the context of DCM-GWA. Next, we implemented a sub-network-based analysis, which searches for affected parts of KEGG, however, independent on the pre-defined pathways. Here, proteins of the contractile apparatus of cardiac cells as well as the FAS sub-network were found to be affected by common polymorphisms in DCM. In this work, we performed enrichment analysis directly on variants, leveraging the potential to discover biological information in thousands of published GWA studies. The applied approach is cutoff free and considers a ranked list of genetic variants as input.

Genetics of Human and Canine Dilated Cardiomyopathy

Cardiovascular disease is a leading cause of death in both humans and dogs. Dilated cardiomyopathy (DCM) accounts for a large number of these cases, reported to be the third most common form of cardiac disease in humans and the second most common in dogs. In human studies of DCM there are more than 50 genetic loci associated with the disease. Despite canine DCM having similar disease progression to human DCM studies into the genetic basis of canine DCM lag far behind those of human DCM. In this review the aetiology, epidemiology, and clinical characteristics of canine DCM are examined, along with highlighting possible different subtypes of canine DCM and their potential relevance to human DCM. Finally the current position of genetic research into canine and human DCM, including the genetic loci, is identified and the reasons many studies may have failed to find a genetic association with canine DCM are reviewed.

A novel TBX5 loss-of-function mutation associated with sporadic dilated cardiomyopathy

Dilated cardiomyopathy (DCM) represents the most prevalent form of primary cardiomyopathy, and is the most common reason for heart transplantation and a major cause of congestive heart failure. Aggregating evidence demonstrates that genetic defects are associated with DCM, and a great number of mutations in >50 genes have been linked to DCM. However, DCM is a genetically heterogeneous disorder and the genetic components underpinning DCM in a significant proportion of patients remain unknown. In the present study, the coding exons and flanking exon‑intron boundaries of the T-Box 5 (TBX5) gene, which encodes a T‑box transcription factor required for normal cardiac development, were sequenced in 146 unrelated patients with sporadic DCM. The functional characteristics of the mutant TBX5 were assayed in contrast to its wild‑type counterpart by using a dual‑luciferase reporter assay system. As a result, a novel heterozygous TBX5 mutation, p.A143T, was identified in a patient with sporadic DCM. The missense mutation, which was absent in 400 control chromosomes, altered the amino acid that was completely conserved evolutionarily among species. Biological analyses revealed that the A143T mutation of TBX5 was associated with significantly decreased transcriptional activity on the promoter of the target gene atrial natriuretic factor (ANF), when compared to its wild‑type counterpart. Furthermore, the A143T mutation abolished the synergistic activation of the ANF promoter between TBX5 and GATA binding protein 4 (GATA4), another crucial transcriptional factor for heart development. To the best of our knowledge, this is the first report on the association of a TBX5 loss‑of‑function mutation with an enhanced susceptibility to sporadic DCM, providing novel insight into the molecular mechanisms of the pathogenesis of DCM and suggesting potential implications for the prenatal prophylaxis and personalized treatment of this commonest primary myocardial disease.

GATA5 loss-of-function mutation in familial dilated cardiomyopathy

Dilated cardiomyopathy (DCM), the most common form of primary myocardial disease, is an important cause of sudden cardiac death and heart failure and is the leading indication for heart transplantation in children and adults worldwide. Recent studies have revealed a strong genetic basis for idiopathic DCM, with many distinct genes causally implicated. Nevertheless, DCM is a genetically heterogeneous disorder and the genetic determinants underlying DCM in a substantial proportion of patients remain unclear. In this study, the whole coding exons and flanking introns of the GATA binding protein 5 (GATA5) gene, which codes for a zinc-finger transcription factor essential for cardiovascular development and structural remodeling, were sequenced in 130 unrelated patients with idiopathic DCM. The available relatives of the index patient carrying an identified mutation and 200 unrelated ethnically matched healthy individuals used as the controls were genotyped for GATA5. The functional characteristics of the mutant GATA5 were analyzed in contrast to its wild-type counterpart by using a dual-luciferase reporter assay system. As a result, a novel heterozygous GATA5 mutation, p.G240D, was identified in a family with DCM inherited in an autosomal dominant pattern, which co-segregated with DCM in the family with complete penetrance. The missense mutation was absent in 400 reference chromosomes and the altered amino acid was completely conserved evolutionarily across species. Functional analyses revealed that the GATA5 mutant was associated with significantly diminished transcriptional activity. This study firstly links GATA5 mutation to DCM, which provides novel insight into the molecular mechanisms of DCM, suggesting a potential molecular target for the prenatal prophylaxis and allele-specific treatment of DCM.

Prevalence and spectrum of GATA4 mutations associated with sporadic dilated cardiomyopathy

Dilated cardiomyopathy (DCM) is the most frequent type of primary myocardial disorder responsible for substantial morbidity and mortality. DCM is the third most common cause of heart failure and the most common reason for heart transplantation. A recent study has implicated GATA4 mutation in the pathogenesis of familial DCM. However, the prevalence and spectrum of GATA4 mutations associated with sporadic DCM remain unclear. In this study, the coding exons and exon-intron boundaries of the GATA4 gene, which encodes a cardiac transcription factor crucial for normal cardiogenesis, were sequenced in 220 unrelated patients with sporadic DCM. A total of 200 unrelated ethnically-matched healthy individuals used as controls were genotyped. The functional characteristics of the mutant GATA4 were assayed in contrast to its wild-type counterpart using a luciferase reporter assay system. As a result, 3 novel heterozygous GATA4 mutations, p.V39L, p.P226Q and p.T279S, were identified in 3 unrelated patients with sporadic DCM, with a mutational prevalence of approximately 1.36%. The missense mutations were absent in 400 control chromosomes and the altered amino acids were completely conserved evolutionarily across species. Functional analysis showed that the GATA4 mutants were consistently associated with significantly decreased transcriptional activity and markedly reduced the synergistic activation between GATA4 and NKX2-5. This study firstly links GATA4 mutations to increased susceptibility to sporadic DCM and provides novel insight into the molecular etiology underlying DCM, suggesting the potential implications for the early prophylaxis and allele-specific treatment of this common form of cardiomyopathy.