ORIGINAL RESEARCH article
Front. Nutr.
Sec. Nutrition and Metabolism
Volume 12 - 2025 | doi: 10.3389/fnut.2025.1694191
Integrated Multi-Omics Analysis Reveals the Mechanisms of Naringin in Ameliorating High-Fat Diet-Induced Metabolic Dysfunction-Associated Steatotic Liver Disease
Provisionally accepted- 1Gansu Provincial Hospital, Lanzhou, China
- 2Gansu University of Chinese Medicine, Lanzhou, China
- 3Department of Pathology, Gansu Provincial Hospital, Lanzhou,, Gansu, China
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Naringin (Nar), the predominant flavonoid in citrus fruits, shows therapeutic potential against Metabolic dysfunction-associated steatotic liver disease (MASLD), yet its underlying mechanisms remain largely elusive. Here we investigated the efficacy and underlying mechanisms of Nar in a mouse model of high-fat diet (HFD)-induced MASLD, employing integrated analyses of hepatic lipidomics and gut microbiota. Treatment with Nar markedly ameliorated MASLD phenotypes, evidenced by reduced body and liver weights, lower hepatic triglycerides (TGs), and improved serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels. Network pharmacology analysis revealed that Nar targets associated with MASLD disease are primarily enriched in SRC, AKT1, SRC, STAT3, FOS, ESR1, and NFKB1, which exert their effects through the PI3K-AKT signaling pathway. Molecular docking simulations further elucidated the interaction mechanisms. Lipidomic analysis further revealed that Nar restored hepatic lipid homeostasis, significantly decreasing levels of TGs and diglycerides (DGs), with 20 differentially abundant lipid species identified as potential biomarkers. Additionally, Nar profoundly altered the gut microbial community, promoting the enrichment of beneficial genera including Oscillibacter, Allisonella, and Flavonifractor. Our findings indicate that Nar prevents MASLD by harmonizing hepatic lipid metabolism and modulating the gut microbiome.
Keywords: Naringin, MASLD, Lipid Metabolism, Gut Microbiota, Network Pharmacology
Received: 28 Aug 2025; Accepted: 01 Oct 2025.
Copyright: © 2025 Sun, Xue and Zhang. 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: Qiang Zhang, zhangqiang741220@163.com
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