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Ultra-Processed Foods and the Cardiovascular-Kidney-Metabolic Continuum: Integrating Epidemiological, Multi-Omics,
Saiful Singar1, Amirhossein Ataei Kachouei2, Leandro Lantigua-Somoano3
1EVMS Division of Endocrine and Metabolic Disorders, Macon & Joan Brock Virgina Health Sciences at Old Dominion University, Norfolk, VA 23510, USA.
Ultra-processed foods (UPFs) are linked to cardiovascular-kidney-metabolic (CKM) syndrome risks. This review synthesizes evidence on UPFs, CKM stages, and proposes research for better prevention and treatment strategies.
Area of Science:
- Dietary science
- Metabolic health
- Cardiovascular epidemiology
Background:
- Cardiovascular-kidney-metabolic (CKM) syndrome is a continuum of interconnected health issues.
- Ultra-processed foods (UPFs) are a prevalent dietary exposure potentially impacting CKM risk.
- Existing research requires improved methods for assessing UPF exposure and its effects.
Purpose of the Study:
- To review epidemiologic, mechanistic, and translational evidence linking UPFs to CKM syndrome.
- To identify challenges in UPF exposure assessment and propose solutions.
- To outline a research agenda for CKM syndrome prevention and treatment.
Main Methods:
- Synthesis of observational, mechanistic (multi-omics), and translational studies.
- Analysis of dietary assessment tools and UPF operationalization (e.g., NOVA classification).
- Evaluation of data quality, analytic rigor, and potential biases in diet-omics research.
Main Results:
- Consistent associations between higher UPF intake and increased risk of adiposity, diabetes, CKD, cardiovascular events, and mortality.
- Mechanistic evidence implicates inflammation, lipid metabolism, oxidative stress, and gut microbiome alterations.
- Multi-omics data partially explain UPF-associated health outcomes.
Conclusions:
- UPFs pose a significant risk factor across the CKM syndrome continuum.
- Harmonized exposure metrics, error-aware modeling, and standardized multi-omics are crucial for future research.
- Stage-specific interventions and validated biomarkers are needed for CKM risk stratification and management.
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