Study on the Mechanism of Raspberry (Rubi fructus) in Treating Type 2 Diabetes Based on UPLC-Q-Exactive Orbitrap MS, Network Pharmacology, and Experimental Validation.

IF 4.3 3区 材料科学 Q1 ENGINEERING, ELECTRICAL & ELECTRONIC ACS Applied Electronic Materials Pub Date : 2024-11-04 DOI:10.1002/pca.3464
Xiaoge Wang, Xueyan Zhang, Qiyuan Liao, Xuelin Rui, Rui Wang
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Abstract

Aim: The aim of this study is to analyze the chemical composition of raspberry using liquid chromatography-mass spectrometry (LC-MS) technology, predict the potential effects of raspberry in treating type 2 diabetes through network pharmacology, and conduct preliminary validation through in vitro experiments.

Methods: A Waters CORTECS C18 column (3.0 mm × 100 mm, 2.7 μm) was used; mobile phase A consisted of 0.1% formic acid in water and mobile phase B consisted of 0.1% formic acid in acetonitrile. Gradient elution was performed with full-scan mode in both positive and negative ion modes, covering a mass range of m/z 100-1500. The chemical components of raspberry were analyzed and identified based on secondary spectra from databases and relevant literature. The disease targets related to type 2 diabetes were searched, and protein-protein interaction network analysis as well as gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted on the intersecting targets of the active components of raspberry and the disease. HepG2 cells were used for experimental validation, with high glucose-induced insulin resistance models established. The CCK-8 method was employed to assess the effects of raspberry on cell proliferation, while Western blotting was used to measure the expression of proteins related to the AGE/RAGE signaling pathway.

Results: A total of 47 components were identified, including 10 organic acids, 15 flavonoids, 12 phenols, 2 alkaloids, 4 terpenoids, 1 miscellaneous compound, 1 stilbene, 1 steroid and its derivatives, and 1 diterpenoid. Through database screening, seven active components were identified: kaempferol, epicatechin, ellagic acid, crocetin, stigmasterol, fisetin, and isorhamnetin. KEGG and GO results indicated that the therapeutic effects of raspberry on type 2 diabetes may be related to the advanced glycation end product (AGE)- receptor for advanced glycation end product (RAGE) signaling pathway. Establishment of an insulin resistance model in HepG2 cells demonstrated that, compared to the control group, the raspberry treatment group upregulated p53 protein expression while downregulating the expression of RAGE, Akt1, and Caspase-3 proteins.

Conclusion: This study preliminarily elucidates that the therapeutic effects of raspberry in treating type 2 diabetes may be mediated through the inhibition of the AGE-RAGE signaling pathway, providing important references for the study of the pharmacological basis and clinical application of raspberry.

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基于 UPLC-Q-Exactive Orbitrap MS、网络药理学和实验验证的覆盆子(Rubi fructus)治疗 2 型糖尿病的机制研究
目的:本研究旨在利用液相色谱-质谱(LC-MS)技术分析覆盆子的化学成分,通过网络药理学预测覆盆子治疗2型糖尿病的潜在作用,并通过体外实验进行初步验证:采用Waters CORTECS C18色谱柱(3.0 mm × 100 mm,2.7 μm),流动相A为0.1%甲酸水溶液,流动相B为0.1%甲酸乙腈水溶液。采用正离子和负离子全扫描模式进行梯度洗脱,质量范围为 m/z 100-1500。根据数据库和相关文献中的二级光谱对覆盆子的化学成分进行了分析和鉴定。检索了与 2 型糖尿病相关的疾病靶点,并对覆盆子活性成分与疾病的交叉靶点进行了蛋白-蛋白相互作用网络分析以及基因本体(GO)和京都基因组百科全书(KEGG)通路富集分析。实验验证采用 HepG2 细胞,建立了高糖诱导的胰岛素抵抗模型。采用CCK-8法评估覆盆子对细胞增殖的影响,同时采用Western印迹法测定与AGE/RAGE信号通路相关的蛋白质的表达:结果:共鉴定出 47 种成分,包括 10 种有机酸、15 种黄酮类化合物、12 种酚类化合物、2 种生物碱、4 种萜类化合物、1 种杂环化合物、1 种芪类化合物、1 种甾类化合物及其衍生物和 1 种二萜类化合物。通过数据库筛选,确定了七种活性成分:山柰醇、表儿茶素、鞣花酸、鳄梨甙、豆甾醇、鱼腥草甙和异鼠李素。KEGG和GO结果表明,覆盆子对2型糖尿病的治疗效果可能与高级糖化终产物(AGE)-高级糖化终产物受体(RAGE)信号通路有关。在 HepG2 细胞中建立的胰岛素抵抗模型表明,与对照组相比,覆盆子治疗组在上调 p53 蛋白表达的同时,下调了 RAGE、Akt1 和 Caspase-3 蛋白的表达:本研究初步阐明了覆盆子治疗2型糖尿病的作用可能是通过抑制AGE-RAGE信号通路介导的,为研究覆盆子的药理基础和临床应用提供了重要参考。
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CiteScore
7.20
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4.30%
发文量
567
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