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Circulating metabolite signatures indicate differential gut-liver crosstalk in lean and obese MASLD
Mathias Haag, Stefan Winter, Aurino M. Kemas, Julia Tevini, Alexandra Feldman, Sebastian K. Eder, Thomas K. Felder, Christian Datz, Bernhard Paulweber, Gerhard Liebisch, Oliver Burk, Volker M. Lauschke, Elmar Aigner, Matthias Schwab
Mathias Haag, Stefan Winter, Aurino M. Kemas, Julia Tevini, Alexandra Feldman, Sebastian K. Eder, Thomas K. Felder, Christian Datz, Bernhard Paulweber, Gerhard Liebisch, Oliver Burk, Volker M. Lauschke, Elmar Aigner, Matthias Schwab
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Clinical Research and Public Health Hepatology Metabolism

Circulating metabolite signatures indicate differential gut-liver crosstalk in lean and obese MASLD

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Abstract

BACKGROUND Alterations in circulating metabolites have been described in obese metabolic dysfunction–associated steatotic liver disease (MASLD), but data on lean MASLD are lacking. We investigated serum metabolites, including microbial bile acids and short-chain fatty acids (SCFAs), and their association with lean and obese MASLD.METHODS Serum samples from 204 people of European descent were allocated to four groups: lean healthy, lean MASLD, obese healthy, and obese MASLD. Liquid chromatography–mass spectrometry–based metabolomics and linear model analysis were performed. MASLD prediction was assessed based on least absolute shrinkage and selection operator regression. Functional effects of altered molecules were verified in organotypic 3D primary human liver cultures.RESULTS Lean MASLD was characterized by elevated isobutyrate, methionine sulfoxide, propionate, and phosphatidylcholines. Patients with obese MASLD had increased sarcosine and decreased lysine and asymmetric dimethylarginine. Using metabolites, sex, and BMI, MASLD versus healthy could be predicted with a median AUC of 86.5% and 85.6% in the lean and obese subgroups, respectively. Functional experiments in organotypic 3D primary human liver cultures showed propionate and isobutyrate induced lipid accumulation and altered expression of genes involved in lipid and glucose metabolism.CONCLUSION Lean MASLD is characterized by a distinct metabolite pattern related to amino acid metabolism, lipids, and SCFAs, while metabolic pathways of lipid accumulation are differentially activated by microbial metabolites. We highlight an important role of microbial metabolites in MASLD, with implications for predictive and mechanistic assessment of liver disease across weight categories.FUNDING Robert Bosch Stiftung, Swedish Research Council (2021-02801, 2023-03015, 2024-03401), ERC Consolidator Grant 3DMASH (101170408), Ruth and Richard Julin Foundation for Gastroenterology (2021-00158), SciLifeLab and Wallenberg National Program for Data-Driven Life Science (WASPDDLS22:006), Novo Nordisk Foundation (NNF23OC0085944, NNF23OC0084420), PMU-FFF (E-18/28/148-FEL).

Authors

Mathias Haag, Stefan Winter, Aurino M. Kemas, Julia Tevini, Alexandra Feldman, Sebastian K. Eder, Thomas K. Felder, Christian Datz, Bernhard Paulweber, Gerhard Liebisch, Oliver Burk, Volker M. Lauschke, Elmar Aigner, Matthias Schwab

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Figure 2

Serum metabolite profiles vary by sex and exhibit distinct metabolic signatures in lean and obese MASLD.

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Serum metabolite profiles vary by sex and exhibit distinct metabolic sig...
(A) Volcano plot displaying metabolites found at significantly (adjusted P value < 0.05) higher (blue) or lower (red) levels in males compared with females. Statistical analyses were performed in the complete cohort (n = 204) irrespective of MASLD and BMI. Metabolites that exhibit a log2 fold-change > 0.3125 and an adjusted P value < 0.05 are labeled with the corresponding names. The top 10 significant metabolites with the highest log2 fold-changes are underlined and shown as box plots in C (see Supplemental Figure 2 for box plots of other significantly altered metabolites). The upper/lower borders of a box are defined by the first/third quartile while the line within a box represents the median. Whiskers extend to the highest or lowest values. (B) Venn diagram representing metabolites that are significantly (adjusted P values < 0.05, Supplemental Tables 2–5) changed for the indicated group comparisons. (D) Volcano plot displaying significantly (adjusted P value < 0.05) upregulated (blue) or downregulated (red) metabolites in lean MASLD compared with BMI-matched healthy controls (n = 110). (E) Volcano plot displaying significantly (adjusted P value < 0.05) upregulated (blue) or downregulated (red) metabolites in obese MASLD compared with BMI-matched healthy controls (n = 94). (F) Volcano plot displaying metabolites found at significantly (adjusted P value < 0.05) higher (blue) or lower (red) levels in obese compared with lean patients with MASLD (n = 96). Metabolites in D–F that exhibit a log2 fold-change > 0.3125 and an adjusted P value < 0.05 are labeled with the metabolite names (corresponding box plots are displayed in Supplemental Figures 3–7). Data were analyzed by linear model analysis for volcano plot generation.

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