缬沙坦治疗慢性肾衰竭的机制探讨:网络药理学与实验验证

IF 2.1 4区 医学 Q3 PHARMACOLOGY & PHARMACY Journal of Clinical Pharmacy and Therapeutics Pub Date : 2023-10-16 DOI:10.1155/2023/4837743
Min Zhu, Zhaoran Wang, Ziming Zhu, Cuifeng Zhang, Fanrong Wu
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Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on core targets to explore their possible molecular mechanisms. The chronic renal failure mouse model was established by the plat method. Hematoxylin-eosin (H&amp;E) and Masson staining observed morphological changes in renal problems of each group, as levels of serum Cre, BUN, T-SOD, and MDA in each group were detected by kit; real-time PCR was used to detect the relative expression of mRNA of TNF-αIL-1β, IL-6, and IL-10 in renal disease of mice in each group, with WB detect CALM, PKCα, and CaMKIV protein expression levels in renal disease from each group. Results. The network pharmacology approach identified 10 key targets for treatment of chronic renal failure with valsartan, including EGFR, PTGS2, PPARG, and ERBB2. KEGG enrichment analysis predicted that the drug exerted neuroactive ligand-receptor interaction, the calcium signaling pathway, the HIF-1 signaling pathway, the proteoglycans in cancer, PD-L1 expression, and the PD-1 checkpoint pathway in cancer. Results from animal experiments were compared to those of the model group, as renal function was significantly improved in the valsartan-dose group. The serum levels of Cre, BUN, and MDA and relative mRNA expression of TNF-α, IL-1β, and IL-6 decreased significantly, while serum T-SOD levels, relative mRNA expression of IL-10, and the protein expression level of CALM, PKCα, and CaMKIV increased significantly ( <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M1\"> <mi>P</mi> </math> < 0.05 and <math xmlns=\"http://www.w3.org/1998/Math/MathML\" id=\"M2\"> <mi>P</mi> </math> < 0.001). Conclusion. 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引用次数: 0

摘要

目标。基于网络药理学和动物实验验证,探讨缬沙坦治疗慢性肾功能衰竭的靶点和作用机制。方法。使用缬沙坦的目标通过PubChem和SwissTargetPrediction数据库进行预测。在各种疾病数据库中搜索慢性肾衰竭的相关靶点,提取药物和疾病的共同目的。利用STRING数据库进行网络分析,构建蛋白-蛋白相互作用(PPI)网络,使用Cytoscape 3.9.1软件分析关键靶点的网络拓扑结构,建立“缬沙坦核心靶基因”网络。对核心靶点进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析,探讨其可能的分子机制。采用平板法建立慢性肾功能衰竭小鼠模型。苏木精-伊红(H&E)和Masson染色观察各组肾问题的形态学变化,试剂盒检测各组血清Cre、BUN、T-SOD、MDA水平;采用real-time PCR检测各组小鼠肾脏疾病中TNF-α - il -1β、IL-6、IL-10 mRNA的相对表达量,WB检测各组小鼠肾脏疾病中CALM、PKCα、CaMKIV蛋白的表达量。结果。网络药理学方法确定了缬沙坦治疗慢性肾衰竭的10个关键靶点,包括EGFR、PTGS2、PPARG和ERBB2。KEGG富集分析预测该药物在癌症中发挥神经活性配体-受体相互作用、钙信号通路、HIF-1信号通路、蛋白聚糖、PD-L1表达和PD-1检查点通路。动物实验结果与模型组比较,缬沙坦剂量组肾功能明显改善。血清Cre、BUN、MDA水平及TNF-α、IL-1β、IL-6 mRNA相对表达量显著降低,血清T-SOD水平、IL-10 mRNA相对表达量及CALM、PKCα、CaMKIV蛋白表达量显著升高(P <0.05和P <0.001)。结论。缬沙坦具有一定的肾保护作用,可能通过钙信号通路改善小鼠慢性肾功能衰竭。
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Exploration of the Mechanism of Valsartan Treatment in Chronic Renal Failure: Network Pharmacology and Experimental Validation
Objective. To investigate the targets and mechanisms of valsartan in the treatment of chronic renal failure based on network pharmacology and animal experiment validation. Methods. The objectives of using valsartan were predicted with the PubChem and SwissTargetPrediction databases. Relevant targets of chronic renal failure have been searched in various disease databases, with the common purposes of drugs and diseases extracted. Network analysis was carried out with the STRING database to construct a protein-protein interaction (PPI) network, as Cytoscape 3.9.1 software was used to analyze network topology of the key targets and establish the “valsartan-core target gene” network. Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed on core targets to explore their possible molecular mechanisms. The chronic renal failure mouse model was established by the plat method. Hematoxylin-eosin (H&E) and Masson staining observed morphological changes in renal problems of each group, as levels of serum Cre, BUN, T-SOD, and MDA in each group were detected by kit; real-time PCR was used to detect the relative expression of mRNA of TNF-αIL-1β, IL-6, and IL-10 in renal disease of mice in each group, with WB detect CALM, PKCα, and CaMKIV protein expression levels in renal disease from each group. Results. The network pharmacology approach identified 10 key targets for treatment of chronic renal failure with valsartan, including EGFR, PTGS2, PPARG, and ERBB2. KEGG enrichment analysis predicted that the drug exerted neuroactive ligand-receptor interaction, the calcium signaling pathway, the HIF-1 signaling pathway, the proteoglycans in cancer, PD-L1 expression, and the PD-1 checkpoint pathway in cancer. Results from animal experiments were compared to those of the model group, as renal function was significantly improved in the valsartan-dose group. The serum levels of Cre, BUN, and MDA and relative mRNA expression of TNF-α, IL-1β, and IL-6 decreased significantly, while serum T-SOD levels, relative mRNA expression of IL-10, and the protein expression level of CALM, PKCα, and CaMKIV increased significantly ( P < 0.05 and P < 0.001). Conclusion. Valsartan yields certain renal protection, which may improve chronic renal failure in mice through the calcium signaling pathway.
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来源期刊
CiteScore
4.10
自引率
5.00%
发文量
226
审稿时长
6 months
期刊介绍: The Journal of Clinical Pharmacy and Therapeutics provides a forum for clinicians, pharmacists and pharmacologists to explore and report on issues of common interest. Reports and commentaries on current issues in medical and pharmaceutical practice are encouraged. Papers on evidence-based clinical practice and multidisciplinary collaborative work are particularly welcome. Regular sections in the journal include: editorials, commentaries, reviews (including systematic overviews and meta-analyses), original research and reports, and book reviews. Its scope embraces all aspects of clinical drug development and therapeutics, including: Rational therapeutics Evidence-based practice Safety, cost-effectiveness and clinical efficacy of drugs Drug interactions Clinical impact of drug formulations Pharmacogenetics Personalised, stratified and translational medicine Clinical pharmacokinetics.
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