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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)
Verlagsversion Forschungsdaten DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Liver Fat ; Liver Iron ; Metabolomics ; Nafld ; Steatotic Liver Disease; Chain Amino-acids; Targeted Metabolomics; Oxidative Stress; Fatty; Prevalence; Steatosis; Disease; Obese
Sprache englisch
Veröffentlichungsjahr 2025
HGF-Berichtsjahr 2025
ISSN (print) / ISBN 1076-1551
e-ISSN 1435-8123
Zeitschrift Molecular Medicine
Quellenangaben Band: 31, Heft: 1, Seiten: , Artikelnummer: 260 Supplement: ,
Verlag Feinstein Inst. for Medical Research
Verlagsort One New York Plaza, Suite 4600, New York, Ny, United States
Begutachtungsstatus Peer reviewed
Institut(e) Institute of Epidemiology (EPI)
Institute of Experimental Genetics (IEG)
Institute of Translational Genomics (ITG)
POF Topic(s) 30202 - Environmental Health
30201 - Metabolic Health
30205 - Bioengineering and Digital Health
Forschungsfeld(er) Genetics and Epidemiology
PSP-Element(e) G-504000-010
G-504000-002
G-500600-001
G-506700-001
Förderungen Universittsklinikum Freiburg (8975)
Scopus ID 105011282252
PubMed ID 40691542
Erfassungsdatum 2025-07-23