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. 2020 Sep 10;21(18):6615. doi: 10.3390/ijms21186615

Table 3.

Future directions: research priorities in ACM.

Epidemiology and screening of ACM Highly variable
Under-studied, underdiagnosed
GWAS may be helpful to establish associations between patients’ genotype and phenotype; and to test existing genetic risk scores from other cardiac phenotypes with ACM phenotypes for associations. Moreover, this could be potentially developed into a screening test
Clinical heterogeneity Inter and intra-familial variability (even with some mutations)
Deep phenotyping with bipolar and unipolar voltage maps of RV, RVOT, LV, and with phenocopies
Mechanisms of ACM Pathophysiology and disease progression
Myocarditis as a possible trigger and predisposition to arrhythmias
Animal models may be used to study the effect of protein mutations on ACM phenotypes, e.g., titin mutation and its link to heart failure
Genetics 40% undefined genetically
Genotype-phenotype correlation
More precise definition of clinical phenotype
GWAS and phenotype-genotype for effect modifiers?
Desmosome Study extra-cardiac desmosome expression such as buccal cells and skin
Inflammation and myocarditis Investigate role of inflammation in animals and humans
Discern if ACM patients more susceptible to myocarditis
Is inflammation primary or secondary?
Is myocarditis a trigger for arrhythmogenicity?
Is myocarditis an acute phase of ACM?
Predicting SCD risk Refine the criteria for ICD implantation in ACM patients e.g., balancing the benefits and risks of ICD, specifying the type of ICD (TV vs. SC)
Validation Hopkins Primary Prevention ARVC SCD risk calculator
Evaluating blood biomarkers longitudinal studies
Systematic follow-up of G+/P+, G+/P+, G−/P− understand evolution of arrhythmia
Use of non-ICD therapies to manage arrhythmia risk
Other therapies Trials using standard anti-HF regimens in ACM (β-blockers, Angiotensin-converting enzyme, Angiotensin II receptor blocker, Mineralocorticoid receptor antagonist, Angiotensin receptor neprilysin inhibitor)
Disease-specific pathways to identify novel targets
Skin and hair for testing novel therapies
Precision medicine with the use of ‘avatars’ for testing therapies
Establish trials with surrogate endpoints to expedite drug delivery

GWAS = genome-wide association studies; G+ = genotype positive, G− = genotype negative, P+ = phenotype positive, P− = phenotype negative, HF = heart failure; RV = right ventricle; RVOT = right ventricular outflow tract; SC = subcutaneous; SCD = sudden cardiac death; TV = transvenous.