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Front. Cardiovasc. Med., 17 April 2024
Sec. Cardiovascular Genetics and Systems Medicine
Volume 11 - 2024 |

Editorial: Multi-omics in cardiomyopathies causing heart failure: from mechanism to treatment

  • Department of Informatics and Predictive Sciences, Bristol Myers Squibb (United States), New York, NY, United States

Editorial on the Research Topic
Multi-omics in cardiomyopathies causing heart failure: from mechanism to treatment

In the realm of cardiovascular diseases, cardiomyopathies stand as formidable adversaries, presenting multifaceted challenges to clinicians and researchers. Among these, dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM) loom large, each with its distinct pathophysiological intricacies and diagnostic conundrums. Recent breakthroughs in integrated bioinformatics, experimental validation, and precision medicine have cast a promising light on the landscape of these conditions, offering novel insights into their molecular underpinnings and diagnostic potential.

The study by Zhang et al. delves into the complex terrain of DCM, a condition characterized by ventricular dilation and impaired systolic function, with elusive etiology. Leveraging the power of bioinformatic algorithms, the researchers embarked on a comprehensive journey to identify robust biomarkers and unravel the intricate landscape of immune cell infiltration in DCM myocardial tissues. Through meticulous analysis, they unearthed key immune cells, such as activated NK cells and Eosinophils, alongside hub genes like ASPN, CD163, IL10, and LUM, shedding light on potential diagnostic avenues and underlying mechanisms driving DCM progression.

In a parallel endeavor, Lander et al. embarked on a quest to decipher the enigma of late gadolinium enhancement (LGE) on cardiac magnetic resonance imaging (CMR) in the HCM population. Recognizing LGE as a harbinger of myocardial fibrosis and heightened risk of sudden cardiac death, the researchers pioneered the use of plasma proteomics profiling to discern patients with and without LGE. Their findings underscored the discriminative prowess of plasma proteomics, offering a tantalizing glimpse into the realm of personalized medicine and refined risk stratification in HCM.

Meanwhile, Zheng et al. set their sights on constructing a genetic diagnosis model for DCM, harnessing the power of weighted gene co-expression network analysis (WGCNA) to unveil key genes and pathways underpinning DCM pathogenesis. Their innovative approach culminated in the development of a LASSO diagnostic model boasting exceptional accuracy across diverse cohorts, heralding a new era of precision medicine in the diagnosis and management of DCM.

On a molecular level, Chauhan and Sowdhamini delved into the intricate transcriptomic landscape of primary cardiomyopathies, unveiling perturbations in arachidonic acid metabolism as a common thread linking diverse cardiomyopathic phenotypes. Their findings illuminate the intricate interplay between metabolic dysregulation and cardiac pathology, paving the way for targeted therapeutic interventions and precision medicine approaches.

In a convergence of multi-omics integration, Portokallidou et al. undertook a comprehensive analysis to delineate the genetic expression and protein signature of both DCM and ischemic cardiomyopathy (ICM). Their meticulous bioinformatics approach unearthed shared and distinct molecular pathways, offering invaluable insights into the molecular underpinnings of HF subphenotypes and paving the way for the development of novel diagnostic biomarkers and therapeutic targets.

Lastly, Nomura and Ono championed the cause of precision and genomic medicine in the realm of cardiomyopathies, advocating for a holistic approach that integrates genetic testing, single-cell analysis, and genome-wide research to unravel the intricate tapestry of cardiac pathology. Their visionary outlook heralds a new dawn in cardiomyopathy research, where personalized interventions and targeted therapies hold the promise of transforming clinical outcomes and improving patient care.

Collectively, these pioneering studies epitomize the relentless pursuit of knowledge and innovation in the field of cardiomyopathy research. As we stand at the cusp of a new era in cardiovascular medicine, fueled by cutting-edge technologies and interdisciplinary collaboration, the horizon brims with promise and potential. Armed with insights gleaned from integrated bioinformatic algorithms, experimental validation, and precision medicine approaches, we march steadfastly towards a future where the scourge of cardiomyopathies is met with resilience, resolve, and unwavering scientific ingenuity.

Author contributions

CY: Writing – original draft, Writing – review & editing.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Keywords: cardiomyopathies, multi-omics, precision medicine, transcriptomics, proteomics, biomarkers

Citation: Yao C (2024) Editorial: Multi-omics in cardiomyopathies causing heart failure: from mechanism to treatment. Front. Cardiovasc. Med. 11:1405813. doi: 10.3389/fcvm.2024.1405813

Received: 23 March 2024; Accepted: 29 March 2024;
Published: 17 April 2024.

Edited and Reviewed by: Neil Morgan, University of Birmingham, United Kingdom

© 2024 Yao. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Chen Yao