Maushagen, J. ; Nattenmüller, J.* ; von Krüchten, R.* ; Thorand, B. ; Peters, A. ; Rathmann, W.* ; Adamski, J. ; Schlett, C.L.* ; Bamberg, F.* ; Wang-Sattler, R. ; Rospleszcz, S.
Serum metabolites characterize hepatic phenotypes and reveal shared pathways: results from population-based imaging.
Mol. Med. 31:260 (2025)
BACKGROUND: Steatotic liver disease is a major public health issue, with hepatic iron overload exacerbating fibrotic conditions. This study aimed to identify metabolites associated with hepatic fat and/or iron overload using targeted metabolomics in a population-based cohort. METHODS: We used the cross-sectional KORA-MRI study (N = 376 individuals). Hepatic fat and iron content were derived by magnetic resonance imaging, and serum metabolite concentrations were quantified through targeted metabolomics. Associations between 146 metabolites and 40 indicators with hepatic phenotypes were analyzed, adjusted for confounders, and corrected for multiple testing. Formal pathway analyses and mediation analyses including genetic data were conducted. Performance of metabolomics to diagnose steatosis or hepatic iron overload was evaluated using ROC curves, and compared to the fatty liver index (FLI). RESULTS: Overall, 50.8% of participants (mean age 56.4 years) had hepatic steatosis, and 43.6% iron overload. Twelve unique metabolites/indicators (amino acids, lysophosphatidylcholine, acyl-alkyl-phosphatidylcholine), and sums of branched chain and aromatic amino acids, and five lipids, and ratio of acyl-alkyl-phosphatidylcholines to diacyl-phosphatidylcholines were associated with hepatic fat content. 27 metabolites/indicators, including 25 lipids, were associated with hepatic iron content. Addition of these metabolites to the FLI improved diagnosis of steatosis and iron overload nominally. Glycerophospholipid metabolism, phenylalanine, tyrosine and tryptophan biosynthesis and glycerophospholipid metabolism were shared pathway between steatosis and iron overload. Alanine, isoleucine, glutamine and pimeloylcarnitine (C7-DC) mediated effects between genetic variants and hepatic phenotypes. CONCLUSION: Metabolites were associated with hepatic fat and iron content, shared common pathways, and improved diagnosis of steatosis and iron overload, highlighting the role of iron in hepatic disorders.
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Publication type
Article: Journal article
Document type
Scientific Article
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Keywords
Liver Fat ; Liver Iron ; Metabolomics ; Nafld ; Steatotic Liver Disease; Chain Amino-acids; Targeted Metabolomics; Oxidative Stress; Fatty; Prevalence; Steatosis; Disease; Obese
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Language
english
Publication Year
2025
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0
HGF-reported in Year
2025
ISSN (print) / ISBN
1076-1551
e-ISSN
1435-8123
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Volume: 31,
Issue: 1,
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Article Number: 260
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Feinstein Inst. for Medical Research
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One New York Plaza, Suite 4600, New York, Ny, United States
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Peer reviewed
POF-Topic(s)
30202 - Environmental Health
30201 - Metabolic Health
30205 - Bioengineering and Digital Health
Research field(s)
Genetics and Epidemiology
PSP Element(s)
G-504000-010
G-504000-002
G-500600-001
G-506700-001
Grants
Universittsklinikum Freiburg (8975)
Copyright
Erfassungsdatum
2025-07-23