Network Pharmacology and Experimental Evidence Identify the Mechanism of Astragaloside IV against Henoch-Schönlein Purpura Nephritis.

IF 2.5 4区 生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY
Shuang Pang, Qinghao Yan, Haiou Xia, Shaowei Liu, Feifei Gu, Yan Xu, Min Li, Liping Yue
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引用次数: 0

Abstract

Henoch-Schönlein purpura nephritis (HSPN) is the most common secondary glomerular disease in children, and is considered a major cause of chronic renal failure. Astragaloside IV (AS-IV) has been shown to protect against HSPN. However, the specific effects and mechanisms of AS-IV in HSPN remain unclear. Using network pharmacology, potential targets of AS-IV were screened via the PharmMapper and SwissTargetPrediction databases, while HSPN related genes were retrieved from OMIM, GeneCards, and DisGeNET databases. Core targets related to AS-IV and HSPN were identified via construction of a protein-protein interaction (PPI) network. Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways analyses were performed based on these core targets. A compound-target-pathway-disease network was constructed using Cytoscape, incorporating the top 20 pathways associated with HSPN. Molecular docking was then performed to explore the interactions and binding patterns between AS-IV and key target proteins. Subsequently, in vitro experiments using platelet-derived growth factor-BB (PDGF-BB) stimulated human mesangial cells (HMCs) confirmed the findings of the bioinformatics analysis. Through network pharmacological analysis, 75 AS-IV targets intersecting with HSPN were identified. Key targets included EGFR, STAT1, MAPK1, AKT1 and SRC. KEGG enrichment revealed that the Pathways in cancer, PI3K-Akt signaling pathway, and MAPK signaling pathway might play important roles in AS-IV against HSPN. Molecular docking results suggested strong binding affinity between AS-IV and these potential targets. Experimental verification demonstrated that AS-IV (50 and 100 µM) exerted a protective effect against the proliferation of HMCs induced by PDGF-BB. Specifically, AS-IV significantly upregulated the protein expression of p21/p53, and reduced both YAP1 protein levels and Ki67 nuclear staining. Collectively, our findings demonstrate the key targets, primary signaling pathways, and underlying molecular mechanisms of AS-IV in HSPN treatment. These results provide a scientific basis for understanding the complex mechanisms of AS-IV action against HSPN in vitro and suggest its potential, warranting further investigation, as a therapeutic candidate for HSPN.

黄芪甲苷抗Henoch-Schönlein紫癜性肾炎机制的网络药理学及实验研究。
Henoch-Schönlein紫癜性肾炎(HSPN)是儿童中最常见的继发性肾小球疾病,被认为是慢性肾衰竭的主要原因。黄芪甲苷IV (AS-IV)已被证明对HSPN有保护作用。然而,AS-IV在HSPN中的具体作用和机制尚不清楚。利用网络药理学,通过PharmMapper和SwissTargetPrediction数据库筛选AS-IV的潜在靶点,同时从OMIM、GeneCards和DisGeNET数据库检索HSPN相关基因。通过构建蛋白-蛋白相互作用(PPI)网络,确定了与AS-IV和HSPN相关的核心靶点。基于这些核心靶点进行基因本体(GO)富集和京都基因与基因组百科全书(KEGG)通路分析。利用Cytoscape构建化合物-靶标-通路-疾病网络,纳入与HSPN相关的前20条通路。然后进行分子对接,探索AS-IV与关键靶蛋白之间的相互作用和结合模式。随后,利用血小板衍生生长因子- bb (PDGF-BB)刺激人系膜细胞(HMCs)的体外实验证实了生物信息学分析的结果。通过网络药理分析,鉴定出75个与HSPN相交的AS-IV靶点。关键靶点包括EGFR、STAT1、MAPK1、AKT1和SRC。KEGG富集提示肿瘤通路、PI3K-Akt信号通路和MAPK信号通路可能在AS-IV抗HSPN中发挥重要作用。分子对接结果表明AS-IV与这些潜在靶点具有较强的结合亲和力。实验证实,AS-IV(50µM和100µM)对PDGF-BB诱导的hmc增殖具有保护作用。具体来说,AS-IV显著上调p21/p53蛋白表达,降低YAP1蛋白水平和Ki67核染色。总的来说,我们的研究结果证明了AS-IV在HSPN治疗中的关键靶点、主要信号通路和潜在的分子机制。这些结果为了解as - iv体外抗HSPN的复杂机制提供了科学基础,并提示其作为HSPN的候选治疗药物的潜力,值得进一步研究。
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来源期刊
Cell Biochemistry and Biophysics
Cell Biochemistry and Biophysics 生物-生化与分子生物学
CiteScore
4.40
自引率
0.00%
发文量
72
审稿时长
7.5 months
期刊介绍: Cell Biochemistry and Biophysics (CBB) aims to publish papers on the nature of the biochemical and biophysical mechanisms underlying the structure, control and function of cellular systems The reports should be within the framework of modern biochemistry and chemistry, biophysics and cell physiology, physics and engineering, molecular and structural biology. The relationship between molecular structure and function under investigation is emphasized. Examples of subject areas that CBB publishes are: · biochemical and biophysical aspects of cell structure and function; · interactions of cells and their molecular/macromolecular constituents; · innovative developments in genetic and biomolecular engineering; · computer-based analysis of tissues, cells, cell networks, organelles, and molecular/macromolecular assemblies; · photometric, spectroscopic, microscopic, mechanical, and electrical methodologies/techniques in analytical cytology, cytometry and innovative instrument design For articles that focus on computational aspects, authors should be clear about which docking and molecular dynamics algorithms or software packages are being used as well as details on the system parameterization, simulations conditions etc. In addition, docking calculations (virtual screening, QSAR, etc.) should be validated either by experimental studies or one or more reliable theoretical cross-validation methods.
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