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Updated: Dec 2, 2025

Optimized Analysis of In Vivo and In Vitro Hepatic Steatosis
Published on: March 11, 2017
Integrative transcriptomics and metabolomics explore the mechanism of kaempferol on improving nonalcoholic
Yifei Lu1, Mingmei Shao, Hongjiao Xiang
1Institute of Interdisciplinary Integrative Medicine Research, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China. wutao001827@163.com.
Abstract:
Kaempferol has been confirmed to be effective in improving metabolic diseases such as diabetes and obesity. However, its effect and mechanism in nonalcoholic steatohepatitis (NASH) are unclear. We aim to confirm whether kaempferol could improve NASH and find the corresponding differential genes and metabolites. Transcriptomics combined with metabolomics was used to investigate the alterations in genes and metabolites expression after kaempferol treatment in mice with high-fat-diet-induced NASH. The results showed that kaempferol reduced the level of alanine transaminase (ALT), low-density lipoprotein cholesterol (LDL-C), and total cholesterol (TC) in serum and triglyceride (TG), lipid droplets, and inflammatory cell infiltration in liver. Further, 277 differentially expressed genes (DEGs) were identified through liver transcriptomics and the five most obvious DEGs were found to be CYP2b9, Cyp4a12b, Mup17, Mup7, and Mup16, which revealed that HFD induced fatty acid degradation, ribosome, and glyoxylic acid and dicarboxylic acid metabolism. Nine serum metabolites (methylcysteine, l-tryptophan, adrenic acid, d-2-hydroxyglutaric acid, tartaric acid, p-cresol sulfate, l-alanine, l-tryosine, and glutaconic acid) and 3 liver differential metabolites (gallic acid, γ-lindenic acid, and l-phenylalanine) were also identified, while the pathways were mainly involved in phenylalanine, tyrosine, and tryptophan biosynthesis; and phenylalanine metabolism. Integrating transcriptomics and metabolomics analyses indicated that kaempferol possesses the ability to improve NASH associated with energy metabolism, lipid metabolism, oxidative stress, and inflammation-related pathways. This study provides a powerful means of multiomics data integration and reveals the potent therapy and biomarkers for kaempferol.
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