ArticleLiver international : official journal of the International Association for the Study of the Liver2024
Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease.
Article in Liver international : official journal of the International Association for the Study of the Liver, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Gene, genetics and genetic medicines in gastroenterology: Current status and its future.World journal of gastroenterology · 2026Review
- Dietary antioxidant capacity, flavonoid subclasses, and metabolic dysfunction-associated fatty liver disease in overweight and obese youth.Journal of health, population, and nutrition · 2025Article
- Effects of Mn Deficiency on Hepatic Oxidative Stress, Lipid Metabolism, Inflammatory Response, and Transcriptomic Profile in Mice.Nutrients · 2025Article
- Genetic Artificial Intelligence in Gastrointestinal Disease: A Systematic Review.Diagnostics (Basel, Switzerland) · 2025Review
- Dietary manganese intake is positively associated with metabolic dysfunction-associated steatotic liver disease: a multicohort study.European journal of nutrition · 2025Article
- Machine learning models for predicting metabolic dysfunction-associated steatotic liver disease prevalence using basic demographic and clinical characteristics.Journal of translational medicine · 2025Article
- PNPLA3 I148M Interacts With Environmental Triggers to Cause Human Disease.Liver international : official journal of the International Association for the Study of the Liver · 2025Review
- Association of blood manganese and selenium levels with hepatic steatosis among adolescents: a nationwide cross-sectional analysis.Frontiers in pediatrics · 2025Article
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Authors and funding
12 authors.
Funding
Abstract
backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) affects approximately 20%-30% of the general population and is linked to high-caloric western style diet. However, there are little data that specific nutrients might help to prevent steatosis.
methodsWe analysed the UK Biobank (ID 71300) 24 h-nutritional assessments and investigated the association between nutrient intake calculated from food questionnaires and hepatic steatosis indicated by imaging or ICD10-coding. The effect of manganese (Mn) on subgroups with risk single nucleotide polymorphism carriage as well as the effect on metabolomics was investigated. All analyses are corrected for age, sex, body mass index, Townsend index for socioeconomic status, kcal, alcohol, protein intake, fat intake, carbohydrate intake, energy from beverages, diabetes, physical activity and for multiple testing.
resultsWe used a random forest classifier to analyse the feature importance of 63 nutrients and imaging-proven steatosis in a cohort of over 25 000 UK Biobank participants. Increased dietary Mn intake was associated with a lower likelihood of MRI-diagnosed steatosis. Subsequently, we conducted a cohort study in over 200 000 UK Biobank participants to explore the relationship between Mn intake and hepatic or cardiometabolic outcomes and found that higher Mn intake was associated with a lower risk of ICD-10 coded steatosis (OR = .889 [.838-.943], p < .001), independent of other potential confounders.
conclusionOur study provides evidence that higher Mn intake may be associated with lower odds of steatosis in a large population-based sample. These findings underline the potential role of Mn in the prevention of steatosis, but further research is needed to confirm these findings and to elucidate the underlying mechanisms.
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