Molecular Mechanisms, Pathogenesis, and Treatment of Cardiovascular Diseases
A special issue of Biomolecules (ISSN 2218-273X). This special issue belongs to the section "Molecular Medicine".
Deadline for manuscript submissions: 30 April 2026 | Viewed by 13
Special Issue Editors
Interests: cellular and molecular mechanisms of chronic and metabolic diseases employing state-of-the-art genomics; transcriptomics; metabolomics; proteomics and epigenomics technologies
Interests: hemostasis; stroke; cerebrovascular; cardiovascular research
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Cardiovascular diseases (CVDs) remain the leading cause of mortality worldwide, underscoring the urgent need to unravel their complex molecular underpinnings and translate these insights into effective therapies. The pathogenesis of chronic CVDs such as atherosclerosis, hypertensive heart disease, and heart failure involves multifactorial interactions among genetic, epigenetic, metabolic, and environmental components. This intricate network is being progressively decoded through the integration of high-throughput technologies including genomics, transcriptomics, proteomics, and metabolomics. Recent advances in single-cell RNA sequencing, spatial transcriptomics, and CRISPR-based gene editing have illuminated cell-specific pathways involved in vascular remodeling, inflammation, and myocardial dysfunction. Furthermore, metabolomic profiling has revealed early biochemical signatures predictive of disease onset, enabling refined risk stratification and patient-specific intervention strategies. Deep phenotyping and biobank-scale datasets are facilitating genome-wide association studies (GWASs) to uncover novel genetic loci linked to CVD susceptibility. In parallel, artificial intelligence (AI) and machine learning (ML) tools are revolutionizing cardiovascular diagnostics and prognostication. Algorithms trained on multimodal datasets encompassing imaging, electrocardiograms, omics profiles, and electronic health records (EHRs) can now predict adverse cardiovascular events with unprecedented accuracy. These computational platforms also aid in drug repurposing and personalized treatment planning, bridging the translational gap from bench to bedside.
For this Special Issue, we invite the submission of cutting-edge contributions elucidating the molecular pathways of CVDs, showcasing innovative diagnostic platforms, and proposing novel therapeutic targets. We particularly welcome interdisciplinary research that translates basic science to clinical applications to foster a more precise, predictive, and preventive approach to cardiovascular care.
Dr. Mahavir Singh
Dr. Zsuzsa Bagoly
Guest Editors
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com 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. Biomolecules is an international peer-reviewed open access monthly 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 2700 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.
Keywords
- cardiovascular diseases
- molecular pathogenesis
- genomics and metabolomics
- AI/ML diagnostics
- precision medicine
- translational research
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