Effective Diagnosis of Cardiomyopathies

Recent key publications

Artificial Intelligence in the Differential Diagnosis of Cardiomyopathy Phenotypes.
Diagnostics (Basel) 2024; 14. Cau R, Pisu F, Suri JS et al.

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Hypertrophic cardiomyopathy (HCM) and dilated cardiomyopathy (DCM) are complex conditions that often present diagnostic challenges due to their overlapping clinical features and heterogeneous presentations. This article delves into the innovative application of AI-driven models for the differential diagnosis of cardiomyopathies, with a particular focus on HCM and DCM. By integrating multimodal data, from genetic and clinical parameters to advanced imaging techniques, AI has demonstrated its capability to discover hidden relationships in complex data. The potential of these technologies not only promises to revolutionise clinical practice but also to significantly improve patient outcomes in the management of cardiomyopathies.

Familial Dilated Cardiomyopathy: A Novel MED9 Short Isoform Identification.
Int J Mol Sci 2024; 25. Franzese M, Zanfardino M, Soricelli A et al.

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Dilated cardiomyopathy (DCM) is associated with high morbidity and mortality rates. Familial DCM, which often stems from genetic mutations, presents unique challenges in both diagnosis and treatment. This article presents a detailed exploration of a novel MED9 short isoform identified in patients with familial DCM. The study leverages advanced RNA sequencing and bioinformatics to reveal crucial alterations in the mediator complex subunits that may drive the pathogenesis of DCM. By offering insights into the molecular mechanisms underlying this condition, these new insights can catalyse the development of new targeted therapeutic strategies.

Lamin A/C deficiency-mediated ROS elevation contributes to pathogenic phenotypes of dilated cardiomyopathy in iPSC model.
Nat Commun 2024; 15:7000. Qiu H, Sun Y, Wang X et al.

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Lamin A/C deficiency is a critical factor in the pathogenesis of dilated cardiomyopathy (DCM), characterised by mitochondrial dysfunction and elevated reactive oxygen species (ROS). This study presents novel insights into how these molecular disruptions contribute to arrhythmogenesis and nuclear envelope deformations in DCM. Linking Lamin A/C deficiency to increased ROS and its downstream effects, this research highlights potential therapeutic targets, including the modulation of SIRT1 activity, to mitigate the severe clinical manifestations of Lamin A/C-associated DCM.

Prognostic implications of genotype findings in non-ischaemic dilated cardiomyopathy: A network meta-analysis.
Eur J Heart Fail 2024; Anastasiou V, Papazoglou AS, Gossios T et al.

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Genetic factors play a critical role in the prognosis of patients with non-ischemic dilated cardiomyopathy (DCM), yet the relative impact of specific genotypes remains an area of active investigation. This study presents a comprehensive network meta-analysis that synthesises data from multiple studies to evaluate the long-term outcomes associated with various genetic mutations, including pathogenic/likely pathogenic (P/LP) variants, truncating titin variants (TTNtv), lamin A/C variants (LMNA), and desmosomal proteins. The findings underscore the importance of incorporating genetic testing into routine clinical practice to refine risk stratification and improve therapeutic strategies.

Molecular autopsy in Chinese sudden cardiac death in the young.
Am J Med Genet A 2024:e63797. Kwok SY, Ho S, Shih FY et al.

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Sudden cardiac death in the young (SCDY) remains a significant public health concern, with inherited cardiovascular conditions often implicated as the underlying cause. This study examines the role of molecular autopsy in uncovering genetic variants responsible for SCDY in a Chinese cohort, providing critical insights into the genetic landscape of these tragic events. By identifying likely pathogenic variants in key genes associated with cardiomyopathies and channelopathies, the findings emphasise the importance of integrating genetic testing into routine forensic investigations and familial screening programmes.

A personalized mRNA signature for predicting hypertrophic cardiomyopathy applying machine-learning methods.
Sci Rep 2024; 14:17023. Gu J, Zhao Y, Ben Y et al.

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Hypertrophic cardiomyopathy (HCM) represents a significant cause of sudden cardiac death, particularly among young individuals. Traditional diagnostic approaches often fall short in predicting the risk and progression of HCM due to the genetic heterogeneity and complex pathophysiology associated with the condition. This article presents a novel approach utilising personalised mRNA signatures and machine-learning methods to enhance the predictive accuracy for HCM. By integrating advanced bioinformatics and leveraging key molecular markers, this study offers critical insights that could revolutionise the early diagnosis and personalised treatment of HCM.