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Nutrigenomics for Preventing Obesity, Metabolic Syndrome, and Endocrine Disorders

A special issue of Nutrients (ISSN 2072-6643). This special issue belongs to the section "Nutrigenetics and Nutrigenomics".

Deadline for manuscript submissions: 25 January 2026 | Viewed by 342

Special Issue Editor


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Guest Editor
Centre for Innovative Medical Education, Jagiellonian University Medical College, Kraków, Poland
Interests: obesity; metabolic syndrome; genetics; nutrition; nutrigenomics

Special Issue Information

Dear Colleagues,

This Special Issue aims to highlight current advances in the field of nutrigenomics, with a particular focus on gene–diet interactions and their role in the prevention of obesity, metabolic syndrome, and endocrine-related disorders. Personalized nutrition, guided by individual genetic and microbiome profiles, offers a promising approach to improving metabolic health and reducing the burden of chronic diseases. We welcome original research, reviews, and translational studies that explore molecular mechanisms, clinical applications, and population-based strategies integrating genomics with dietary interventions. This Special Issue focuses on advanced personalized dietary solutions that support precision health and disease prevention through an interdisciplinary approach.

Dr. Barbara Zapała
Guest Editor

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Keywords

  • obesity
  • metabolic syndrome
  • genetics
  • nutrition
  • nutrigenomics
  • microbiome
  • genes
  • diet

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Published Papers (1 paper)

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Research

27 pages, 1876 KB  
Article
Genetic Susceptibility and Genetic Variant-Diet Interactions in Diabetic Retinopathy: A Cross-Sectional Case–Control Study
by Sunmin Park, Suna Kang and Donghyun Jee
Nutrients 2025, 17(18), 2983; https://doi.org/10.3390/nu17182983 - 17 Sep 2025
Viewed by 167
Abstract
Background/Objectives: Diabetic retinopathy is a leading cause of blindness in diabetic patients, with disease susceptibility influenced by both genetic and environmental factors. This study aimed to identify novel genetic variants associated with DR and evaluate interactions between polygenic risk scores (PRS) and lifestyle [...] Read more.
Background/Objectives: Diabetic retinopathy is a leading cause of blindness in diabetic patients, with disease susceptibility influenced by both genetic and environmental factors. This study aimed to identify novel genetic variants associated with DR and evaluate interactions between polygenic risk scores (PRS) and lifestyle factors in a Korean diabetic cohort. Methods: After excluding subjects with non-diabetic retinopathy eye diseases (n = 2519), we analyzed data from 50,361 non-diabetic controls, 4873 diabetic participants without retinopathy (DM-NR), and 165 with diabetic retinopathy (DM-DR). We conducted genome-wide association studies comparing DM-NR and DM-DR groups, performed generalized multifactor dimensionality reduction (GMDR) analysis for epistatic interactions, developed unweighted PRS models, and examined PRS–lifestyle interactions using two-way analysis of covariance. Results: DM-DR prevalence showed strong associations with metabolic syndrome and its components. Five novel genetic variants were identified: ABCA4_rs17110929, MMP2-AS1_rs2576531, FOXP1_rs557869288, MRPS33_rs1533933, and DRD2_rs4936270. A significant three-way epistatic interaction among the first three variants was discovered through GMDR analysis. High-PRS individuals (scores 5–6) showed a 49-fold higher odds ratio of DM-DR compared to low-PRS individuals (scores 0–2; p < 0.0001). MAGMA analysis revealed enrichment in pathways related to protein degradation, vascular function, and neuronal signaling, with predominant upregulation in brain tissues. Significant PRS × lifestyle interactions were identified for fruit intake, coffee consumption, alcohol intake, eating duration, and physical activity, with lifestyle factors modifying genetic risk effects (all p < 0.003). Conclusions: These findings identify novel genetic variants and epistatic interactions in DM-DR pathogenesis, supporting the use of PRS-based risk stratification for intensive monitoring and personalized lifestyle interventions. The discovery of brain tissue-enriched pathways suggests DM-DR shares mechanisms with neurodegenerative diseases, expanding therapeutic targets beyond traditional vascular approaches. Full article
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