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Multiomic Approaches to Uncover the Complexities of Dystrophin-Associated Cardiomyopathy
Aoife Gowran1, Maura Brioschi2, Davide Rovina1
1Unit of Vascular Biology and Regenerative Medicine, Centro Cardiologico Monzino-IRCCS, 20138 Milan, Italy.
Insights
Duchenne cardiomyopathy (DAC) lacks targeted treatments due to complex mechanisms. Combining multiomics with precision models offers a promising path for developing effective therapies for this severe condition.
Area of Science:
- Cardiology
- Genetics
- Biochemistry
Background:
- Dystrophinopathies primarily affect skeletal muscle, but cardiomyopathy is a leading cause of mortality.
- Current treatments for dystrophin-associated cardiomyopathy (DAC) are limited, with a significant unmet need for targeted therapies.
- Progress in understanding and treating DAC is hindered by challenges in identifying key pathophysiological mechanisms and effective therapeutic targets.
Purpose of the Study:
- To review fundamental discoveries in preclinical models of DAC.
- To explore the integration of multiomic analyses in understanding DAC.
- To highlight new perspectives for addressing unanswered questions in DAC occurrence and severity.
Main Methods:
- Review of existing literature on preclinical models of DAC.
- Analysis of how multiomic approaches have been applied to DAC research.
- Integration of findings from advanced preclinical precision models.
Main Results:
- Identified key pathophysiological mechanisms in DAC using various models.
- Demonstrated the utility of multiomic analyses in uncovering novel insights into DAC.
- Highlighted the potential of precision models in advancing DAC research.
Conclusions:
- Multiomic analysis combined with advanced preclinical models offers a promising strategy for DAC therapy breakthroughs.
- Further research is needed to validate these approaches and translate findings into clinical applications.
- Addressing the complexities of DAC requires innovative methodologies and a deeper understanding of its underlying mechanisms.
Abstract:
Despite major progress in treating skeletal muscle disease associated with dystrophinopathies, cardiomyopathy is emerging as a major cause of death in people carrying dystrophin gene mutations that remain without a targeted cure even with new treatment directions and advances in modelling abilities. The reasons for the stunted progress in ameliorating dystrophin-associated cardiomyopathy (DAC) can be explained by the difficulties in detecting pathophysiological mechanisms which can also be efficiently targeted within the heart in the widest patient population. New perspectives are clearly required to effectively address the unanswered questions concerning the identification of authentic and effectual readouts of DAC occurrence and severity. A potential way forward to achieve further therapy breakthroughs lies in combining multiomic analysis with advanced preclinical precision models. This review presents the fundamental discoveries made using relevant models of DAC and how omics approaches have been incorporated to date.
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