Genetics of Cardiovascular Metabolism

A special issue of Cardiogenetics (ISSN 2035-8148).

Deadline for manuscript submissions: closed (25 October 2023) | Viewed by 418

Special Issue Editor

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Guest Editor
Department of Epidemiology, Erasmus MC-University Medical Center Rotterdam, P.O. Box 2040, 3000CA Rotterdam, The Netherlands
Interests: genomics; epigenomics; metabolomics; non-coding genome; microRNAs; multi-omics analysis; cardiovascular diseases; metabolic disorders; disease biomarkers
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Special Issue Information

Dear Colleagues,

Despite enormous efforts for the prevention of cardiovascular diseases (CVDs), they remain the leading cause of death worldwide. The multifactorial nature of CVD calls for novel investigations and further knowledge on subjacent biological mechanisms. Disturbances in cardiac metabolism underlie most CVDs, and there is a long history of investigation into the metabolism of the cardiovascular system. Metabolomics, one of the newer omics technologies, has emerged as a powerful tool for defining changes in both global and cardiac-specific metabolism that occur across a spectrum of cardiovascular disease states. Findings from metabolomics studies have contributed to a better understanding of the metabolic changes that occur in CVD, and have identified new disease biomarkers. The integration of genetics, metabolomics, and other omics platforms in a systems biology approach holds potential for elucidating novel genetic markers and mechanisms for cardiovascular disease.

This Special Issue is designed to present the latest research findings and developments in the field of cardiovascular metabolism. This includes all aspects of metabolic alterations during cardiovascular diseases and any other related pathologies with increased risk of CVD. The identification of metabolic changes related to CVD using multi-omics approaches (integrating genome, epigenome, transcriptome, proteome, and metabolome) is particularly encouraged, including methodological approaches such as Mendelian randomization and machine learning. Other studies showing the potential for use of population-based omics data as well as animal studies in deciphering cardiovascular disease genetics, mechanisms, and biomarkers are also welcome. In addition, studies providing evidence for the potential role of genes and metabolites in the incidence and progression of COVID-19 in subjects with cardiovascular comorbidities are encouraged.

You may choose our Joint Special Issue in Genes.

Dr. Mohsen Ghanbari
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Cardiogenetics is an international peer-reviewed open access quarterly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.


  • cardiovascular metabolism
  • cardiovascular disease
  • metabolic disorders
  • genomics
  • metabolomics
  • multi-omics analysis
  • early diagnosis biomarkers

Published Papers

There is no accepted submissions to this special issue at this moment.
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