Exploring the impact of diet, sleep, and metabolomic pathways on Glaucoma subtypes: insights from Mendelian randomization and cross-sectional analyses.
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Abstract
Background: Glaucoma is a leading cause of irreversible blindness, influenced by systemic and lifestyle factors. This study investigates the causal relationships between dietary habits, sleep traits, amino acids, metabolites, and inflammatory factors with glaucoma subtypes using Mendelian randomization (MR) and validates findings through cross-sectional analysis.
Methods: MR analysis assessed the causal effects of 226 dietary factors, 11 sleep traits, 20 amino acids, 1400 metabolites, and 91 inflammatory factors on five glaucoma subtypes (NTG, POAG, PACG, NVG, XFG). Mediation MR analysis explored the role of amino acids and inflammatory factors in these relationships. Validation was conducted using NHANES cross-sectional data.
Results: High-fat, high-calorie diets increased glaucoma risk, while antioxidant-rich foods and better sleep quality reduced it. Key mediators included proline, tyrosine, IL-1 A, and PDL1. NHANES data confirmed lower intake of vitamins A and C, higher water consumption among glaucoma patients, and significant sleep-related associations.
Conclusion: Our findings highlight the role of balanced diets and optimized sleep patterns in glaucoma prevention and management. This study provides evidence for targeted lifestyle interventions focusing on metabolic and inflammatory pathways to mitigate glaucoma risk.
期刊介绍:
Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects.
The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases.
Key areas we wish to encourage submissions from include:
-how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes;
-the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components;
-how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved;
-how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.