Machine learning uncovers manganese as a key nutrient associated with reduced risk of steatotic liver disease

Research output: Contribution to journalResearch articleContributedpeer-review

Contributors

  • Simon Schophaus - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Kate Townsend Creasy - , University of Pennsylvania Perelman School of Medicine, University of Pennsylvania (Author)
  • Paul-Henry Koop - , University Hospital Aachen (Author)
  • Jan Clusmann - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Julius Jaeger - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Varnitha Punnuru - , University of Pennsylvania (Author)
  • Alexander Koch - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Christian Trautwein - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Rohit Loomba - , University of California at San Diego (Author)
  • Tom Luedde - , University Hospital Duesseldorf (Author)
  • Kai Markus Schneider - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany. (Author)
  • Carolin V Schneider - , Medizinische Klinik III, Klinik für Gastroenterologie, Stoffwechselkrankheiten und Internistische Intensivmedizin, Universitätsklinikum RWTH Aachen, Aachen, Germany., University of Pennsylvania Perelman School of Medicine (Author)

Abstract

BACKGROUND: Metabolic 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.

METHODS: We 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.

RESULTS: We 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.

CONCLUSION: Our 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.

Details

Original languageEnglish
Pages (from-to)2807-2821
Number of pages15
JournalLiver International
Volume44
Issue number10
Publication statusPublished - Oct 2024
Peer-reviewedYes
Externally publishedYes

External IDs

PubMedCentral PMC11464189
Scopus 85200050544

Keywords

Sustainable Development Goals

Keywords

  • Adult, Aged, Cohort Studies, Diet, Fatty Liver/prevention & control, Female, Humans, Machine Learning, Magnetic Resonance Imaging, Male, Manganese, Middle Aged, Non-alcoholic Fatty Liver Disease/prevention & control, Polymorphism, Single Nucleotide, Risk Factors, United Kingdom/epidemiology