New Perspective on Nutrient Intake and Cardiovascular Disease Risk
A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutritional Epidemiology".
Deadline for manuscript submissions: 15 October 2026 | Viewed by 1525
Special Issue Editor
Interests: global health in chronic disease and mhealth; cardiometabolic disorders and health disparities; neurodevelopment and neurologic disorders; pharmacoepidemiology; heart failure epidemiology; AI/machine learning-enabled risk prediction models
Special Issue Information
Dear Colleagues,
This Special Issue aims to present new perspectives on how nutrient intake, assessed through advanced measurement tools and analyzed using cutting-edge statistical and artificial intelligence (AI)/machine learning, influences cardiovascular disease risk. Topics of interest include heart failure (including HFrEF, HFmrEF, and HFpEF), stroke (ischemic and hemorrhagic), and peripheral arterial disease. We welcome high-quality original research articles, review papers, and novel methodological studies that expand our understanding of diet-related cardiovascular health through innovative conceptual frameworks and longitudinal analytical approaches.
Dr. Longjian Liu
Guest Editor
Manuscript Submission Information
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Keywords
- nutrient intake
- novel and advanced dietary patterns (e.g., reduced rank regression [RRR], principal component analysis [PCA], cluster analysis)
- inflammatory and metabolic pathways linking nutrients to cardiovascular outcomes
- metabolomics and nutritional biomarkers
- diet–aging interactions
- vascular and biological age metrics
- nutrient–gene interactions and epigenetics in cardiovascular disease risk
- mediation, interaction, and causal inference in nutritional epidemiology
- risk prediction modeling
- AI/machine learning methods
- large-scale prospective cohort studies
- large-scale randomized clinical trials
- large-scale electronic health records and claims data
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