ORIGINAL RESEARCH article
Front. Endocrinol.
Sec. Diabetes: Molecular Mechanisms
Volume 16 - 2025 | doi: 10.3389/fendo.2025.1707492
Allyl nonanoate as a novel bile-derived biomarker in metabolic dysfunction-associated steatotic liver disease (MASLD)
Provisionally accepted- 1Hanyang University, Seoul, Republic of Korea
- 2Sungkyunkwan University, Jongno-gu, Republic of Korea
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Background: We analyzed metabolites directly obtained from gallbladder bile, providing novel insights and identifying a potential antifibrotic target in metabolic dysfunction-associated steatotic liver disease (MASLD). Methods: We conducted metabolomic profiling of gallbladder bile samples collected during cholecystectomy from 68 individuals, including 19 healthy controls and 49 MASLD with varying degrees of hepatic fibrosis. Mass spectrometry–based metabolomics was used to identify fibrosis-associated metabolites. Functional validation included in vitro experiments in colon epithelial cells (HT29), RNA sequencing, gene set enrichment analysis (GSEA), and a comprehensive G protein-coupled receptor (GPCR) screening assay. Results: A total of 68 subjects were classified into healthy controls (n=19), fibrosis stage 0–1 (n=35), and fibrosis stage 2–3 (n=14). Bile metabolomic profiling revealed distinct clustering among the groups, with eight metabolites showing a stepwise increase with fibrosis severity. Using the Human Metabolome Database, eight fibrosis-associated metabolites (M1–M8) were identified, among which M5 (m/z 199.1693) was confirmed as allyl nonanoate. Allyl nonanoate levels were significantly higher in patients with hepatic fibrosis and increased progressively across fibrosis stages. Transcriptomic analysis demonstrated downregulation of cell cycle–related pathways, including the G2/M checkpoint. GPCR screening identified GPR119 as the most responsive receptor, exhibiting the highest agonist activity (21.8%). Overexpression of GPR119 in HT-29 cells enhanced allyl nonanoate–induced GLP-1 expression. Conclusions: Bile metabolomic profiling in MASLD revealed distinct clustering patterns, with several fibrosis-associated metabolites demonstrating a stepwise increase with hepatic fibrosis.
Keywords: Bile, hepatic fibrosis, Metabolomics, Metabolites, Metabolic dysfunction-associatedsteatotic liver disease, MASLD
Received: 17 Sep 2025; Accepted: 13 Oct 2025.
Copyright: © 2025 Lee, Kim, Lee, Lee, Kim, JUN, Kim and Kang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Kyung A Kang, carukeion03@naver.com
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