JOURNAL ARTICLE
Chrysin prevents inflammation-coinciding liver steatosis via AMPK signalling.
Published In: Journal of Pharmacy & Pharmacology, 2023, v. 75, n. 8. P. 1086 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Gao, Chuanyue; Zhang, Huan; Nie, Lulin; He, Kaiwu; Li, Peimao; Wang, Xingxing; Zhang, Zaijun; Xie, Yongmei; Li, Shupeng; Liu, Gongping; Huang, Xinfeng; Deng, Huiping; Liu, Jianjun; Yang, Xifei 3 of 3
Abstract
This article investigates the therapeutic potential of Chrysin (CN), a natural flavonoid, in treating non-alcoholic fatty liver disease (NAFLD) induced by a high-fat diet (HFD) in mice. The study demonstrates that CN administration reduces liver fat accumulation, inflammation, fibrosis, and liver toxicity markers, while improving obesity and metabolic parameters. Mechanistically, CN activates AMP-activated protein kinase (AMPK) signaling, leading to decreased lipogenesis via downregulation of SREBP1c and increased phosphorylation of acetyl-CoA carboxylase (ACC), and concurrently inhibits NLRP3 inflammasome activation, reducing inflammation. Proteomic analyses further reveal that CN modulates liver protein expression profiles by enhancing pathways related to lipid metabolism, fatty acid oxidation, and energy conversion, while suppressing immune and inflammatory responses. These findings suggest CN as a promising candidate for NAFLD treatment through coordinated regulation of metabolic and inflammatory pathways.
Additional Information
- Source:Journal of Pharmacy & Pharmacology. 2023/08, Vol. 75, Issue 8, p1086
- Document Type:Article
- Subject Area:Complementary and Alternative Medicine
- Publication Date:2023
- ISSN:0022-3573
- DOI:10.1093/jpp/rgad041
- Accession Number:171966752
- Copyright Statement:Copyright of Journal of Pharmacy & Pharmacology is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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