Shuang Pang, Qinghao Yan, Haiou Xia, Shaowei Liu, Feifei Gu, Yan Xu, Min Li, Liping Yue
{"title":"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。","authors":"Shuang Pang, Qinghao Yan, Haiou Xia, Shaowei Liu, Feifei Gu, Yan Xu, Min Li, Liping Yue","doi":"10.1007/s12013-025-01804-4","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":510,"journal":{"name":"Cell Biochemistry and Biophysics","volume":" ","pages":""},"PeriodicalIF":2.5000,"publicationDate":"2025-06-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Network Pharmacology and Experimental Evidence Identify the Mechanism of Astragaloside IV against Henoch-Schönlein Purpura Nephritis.\",\"authors\":\"Shuang Pang, Qinghao Yan, Haiou Xia, Shaowei Liu, Feifei Gu, Yan Xu, Min Li, Liping Yue\",\"doi\":\"10.1007/s12013-025-01804-4\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":510,\"journal\":{\"name\":\"Cell Biochemistry and Biophysics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-06-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cell Biochemistry and Biophysics\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1007/s12013-025-01804-4\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cell Biochemistry and Biophysics","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1007/s12013-025-01804-4","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Network Pharmacology and Experimental Evidence Identify the Mechanism of Astragaloside IV against Henoch-Schönlein Purpura Nephritis.
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.
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.