通过网络药理学和体外验证探索非瑟酮治疗肝脏胰岛素抵抗的潜在机制。

IF 3.9 2区 医学 Q2 NUTRITION & DIETETICS Nutrition & Metabolism Pub Date : 2023-11-23 DOI:10.1186/s12986-023-00770-z
Tian Li, Junjun Ling, Xingrong Du, Siyu Zhang, Yan Yang, Liang Zhang
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引用次数: 0

摘要

目的:利用网络药理学和体外验证方法探讨非瑟酮对肝脏胰岛素抵抗(IR)的作用机制。方法:从中药系统药理学数据库中检索非瑟酮的推定靶点,从GeneCards数据库中检索肝脏IR的潜在基因。根据非瑟酮与肝脏IR的交叉靶点,利用维恩图构建了蛋白质-蛋白质相互作用(PPI)网络。利用基因本体(GO)和京都基因与基因组百科全书(KEGG)分析确定基因相关的生物学功能和潜在途径。通过细胞实验进一步验证非瑟酮对肝脏IR的作用机制。结果:非瑟酮共有118个潜在靶点与肝脏IR相关。TP53、AKT1、TNF、IL6、CASP3、CTNNB1、JUN、SRC、表皮生长因子受体(EGFR)、HSP90AA1的淋巴结面积及对应度值较大,在PPI网络中容易发现。此外,氧化石墨烯分析显示,这些关键靶点显著参与了参与氧化应激和丝氨酸/苏氨酸激酶活性的多种生物过程。KEGG富集分析表明,PI3K/AKT信号通路是参与肝脏IR的重要通路。我们的体外实验结果表明,在正常或IR条件下,非西汀处理增加了HepG2和L02细胞中EGFR和IRS的表达。Western blot结果显示,p-AKT/AKT水平显著上调,提示非瑟酮参与PI3K/AKT信号通路调节胰岛素信号。结论:从整体上探讨了非瑟汀治疗肝脏IR的药理作用及其可能的分子机制。本研究为非瑟酮治疗2型糖尿病的发展奠定了理论基础。
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Exploring the underlying mechanisms of fisetin in the treatment of hepatic insulin resistance via network pharmacology and in vitro validation.

Objective: To characterize potential mechanisms of fisetin on hepatic insulin resistance (IR) using network pharmacology and in vitro validation.

Methods: Putative targets of fisetin were retrieved from the Traditional Chinese Medicine Systems Pharmacology database, whereas the potential genes of hepatic IR were obtained from GeneCards database. A protein-protein interaction (PPI) network was constructed according to the intersection targets of fisetin and hepatic IR using the Venn diagram. The biological functions and potential pathways related to genes were determined using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses. Cell experiments were also conducted to further verify the mechanism of fisetin on hepatic IR.

Results: A total of 118 potential targets from fisetin were associated with hepatic IR. The areas of nodes and corresponding degree values of TP53, AKT1, TNF, IL6, CASP3, CTNNB1, JUN, SRC, epidermal growth factor receptor (EGFR), and HSP90AA1 were larger and could be easily found in the PPI network. Furthermore, GO analysis revealed that these key targets were significantly involved in multiple biological processes that participated in oxidative stress and serine/threonine kinase activity. KEGG enrichment analysis showed that the PI3K/AKT signaling pathway was a significant pathway involved in hepatic IR. Our in vitro results demonstrated that fisetin treatment increased the expressions of EGFR and IRS in HepG2 and L02 cells under normal or IR conditions. Western blot results revealed that p-AKT/AKT levels were significantly up-regulated, suggesting that fisetin was involved in the PI3K/AKT signaling pathway to regulate insulin signaling.

Conclusion: We explored the pharmacological actions and the potential molecular mechanism of fisetin in treating hepatic IR from a holistic perspective. Our study lays a theoretical foundation for the development of fisetin for type 2 diabetes.

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来源期刊
Nutrition & Metabolism
Nutrition & Metabolism 医学-营养学
CiteScore
8.40
自引率
0.00%
发文量
78
审稿时长
4-8 weeks
期刊介绍: Nutrition & Metabolism publishes studies with a clear focus on nutrition and metabolism with applications ranging from nutrition needs, exercise physiology, clinical and population studies, as well as the underlying mechanisms in these aspects. The areas of interest for Nutrition & Metabolism encompass studies in molecular nutrition in the context of obesity, diabetes, lipedemias, metabolic syndrome and exercise physiology. Manuscripts related to molecular, cellular and human metabolism, nutrient sensing and nutrient–gene interactions are also in interest, as are submissions that have employed new and innovative strategies like metabolomics/lipidomics or other omic-based biomarkers to predict nutritional status and metabolic diseases. Key areas we wish to encourage submissions from include: -how diet and specific nutrients interact with genes, proteins or metabolites to influence metabolic phenotypes and disease outcomes; -the role of epigenetic factors and the microbiome in the pathogenesis of metabolic diseases and their influence on metabolic responses to diet and food components; -how diet and other environmental factors affect epigenetics and microbiota; the extent to which genetic and nongenetic factors modify personal metabolic responses to diet and food compositions and the mechanisms involved; -how specific biologic networks and nutrient sensing mechanisms attribute to metabolic variability.
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