Cardiometabolic Disease: Molecular Biomarkers and Treatment Strategies
A special issue of International Journal of Molecular Sciences (ISSN 1422-0067). This special issue belongs to the section "Molecular Pathology, Diagnostics, and Therapeutics".
Deadline for manuscript submissions: 31 May 2026 | Viewed by 393
Special Issue Editor
Special Issue Information
Dear Colleagues,
This Special Issue addresses cardiometabolic diseases (CMD), including cardiovascular disease and diabetes, which remain leading causes of death worldwide. Traditional clinical measures often fall short in early detection and risk prediction. We focus on recent advances in molecular biomarkers identified through cutting-edge omics technologies, including proteomics, metabolomics, genomics, and transcriptomics. These biomarkers reveal the underlying molecular and metabolic disruptions that drive CMD, enabling earlier diagnosis, better risk assessment, and more accurate prognosis.
The Issue highlights innovative treatment strategies guided by these molecular insights, emphasizing personalized medicine approaches that can slow or reverse disease progression. We showcase research integrating bioinformatics and machine learning for biomarker discovery, studies examining how CMD develops at the molecular level, and investigations into how lifestyle factors, such as diet and exercise, influence disease risk through molecular pathways.
Our goal is to present multidisciplinary research spanning molecular biology to clinical applications that advances early intervention and tailored therapies. This Issue addresses the urgent need for validated molecular biomarkers and effective treatments that reduce the global burden of cardiometabolic diseases across diverse populations.
Dr. Mehrnaz Abbasi
Guest Editor
Manuscript Submission Information
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Keywords
- cardiometabolic diseases
- molecular biomarkers
- omics technologies
- personalized medicine
- early detection
- machine learning
- disease progression
- metabolic pathways
- transcriptomics
- genomic profiling
- bioinformatics
- therapeutic targets
- metabolic dysregulation
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