{"title":"揭示光棘多靶点化合物鉴定及抑制胰腺癌治疗新靶点基因。","authors":"Xing Liu, Jianghong Ou","doi":"10.1186/s12906-025-04839-5","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>S. glabra has been widely used to treat tumors in traditional Chinese medicine (TCM). However, the specific mechanism of action of S. glabra in pancreatic cancer remains unclear. In this study, network pharmacological analysis was used to identify the active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer. Furthermore, molecular docking, molecular dynamic simulations, and in vitro experiments were performed to validate the findings.</p><p><strong>Methods: </strong>The active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer were identified using the TCMSP database and a literature search. Differentially expressed genes were identified using data from the Gene Expression Omnibus (GEO) database, and their protein-protein interaction (PPI) network was constructed using the STRING platform. The target genes of S. glabra were further assessed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in the R software. Subsequently, a protein-protein interaction (PPI) network and a composite target-pathway network were established. The target genes were subjected to survival and mutation analyses. Molecular docking and molecular dynamic simulations were used to validate the interaction between the hub target genes and S. glabra in vitro. In addition, cell viability and qRT-PCR verification of S. glabra against pancreatic cancer in vitro.</p><p><strong>Results: </strong>A total of 20 active components and 70 targets were identified. Based on the PPI network, CASP3, MMP9, CCND1, EGF, MMP2, CASP8, ERBB2, STAT1, and PPARG were identified as hub target genes. Enrichment analysis showed that S. glabra may primarily affect pathways such as p53 signaling, transcriptional dysregulation in cancer, proteoglycans in cancer, pancreatic cancer, and cell cycle. Molecular docking and molecular dynamic simulations indicated stable binding between anhydroicaritin-GSK3B and quercetin-PPARG. In vitro experiments demonstrated that treatment with S. glabra significantly inhibited the growth of PANC-1 cells and downregulated expression of GSK3B and PPARG (P < 0.05).</p><p><strong>Conclusion: </strong>This study demonstrates the potential of S. glabra, a herb in traditional Chinese medicine, for treating pancreatic cancer. The findings provide insights into the mechanism of action of the active ingredients of S. glabra, offering a strong theoretical foundation for its various clinical applications.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>","PeriodicalId":9128,"journal":{"name":"BMC Complementary Medicine and Therapies","volume":"25 1","pages":"106"},"PeriodicalIF":3.3000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912788/pdf/","citationCount":"0","resultStr":"{\"title\":\"Revealing the multi-target compounds of Sarcandra glabra identification and inhibition of novel target genes for the treatment of pancreatic cancer.\",\"authors\":\"Xing Liu, Jianghong Ou\",\"doi\":\"10.1186/s12906-025-04839-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>S. glabra has been widely used to treat tumors in traditional Chinese medicine (TCM). However, the specific mechanism of action of S. glabra in pancreatic cancer remains unclear. In this study, network pharmacological analysis was used to identify the active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer. Furthermore, molecular docking, molecular dynamic simulations, and in vitro experiments were performed to validate the findings.</p><p><strong>Methods: </strong>The active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer were identified using the TCMSP database and a literature search. Differentially expressed genes were identified using data from the Gene Expression Omnibus (GEO) database, and their protein-protein interaction (PPI) network was constructed using the STRING platform. The target genes of S. glabra were further assessed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in the R software. Subsequently, a protein-protein interaction (PPI) network and a composite target-pathway network were established. The target genes were subjected to survival and mutation analyses. Molecular docking and molecular dynamic simulations were used to validate the interaction between the hub target genes and S. glabra in vitro. In addition, cell viability and qRT-PCR verification of S. glabra against pancreatic cancer in vitro.</p><p><strong>Results: </strong>A total of 20 active components and 70 targets were identified. Based on the PPI network, CASP3, MMP9, CCND1, EGF, MMP2, CASP8, ERBB2, STAT1, and PPARG were identified as hub target genes. Enrichment analysis showed that S. glabra may primarily affect pathways such as p53 signaling, transcriptional dysregulation in cancer, proteoglycans in cancer, pancreatic cancer, and cell cycle. Molecular docking and molecular dynamic simulations indicated stable binding between anhydroicaritin-GSK3B and quercetin-PPARG. In vitro experiments demonstrated that treatment with S. glabra significantly inhibited the growth of PANC-1 cells and downregulated expression of GSK3B and PPARG (P < 0.05).</p><p><strong>Conclusion: </strong>This study demonstrates the potential of S. glabra, a herb in traditional Chinese medicine, for treating pancreatic cancer. The findings provide insights into the mechanism of action of the active ingredients of S. glabra, offering a strong theoretical foundation for its various clinical applications.</p><p><strong>Clinical trial number: </strong>Not applicable.</p>\",\"PeriodicalId\":9128,\"journal\":{\"name\":\"BMC Complementary Medicine and Therapies\",\"volume\":\"25 1\",\"pages\":\"106\"},\"PeriodicalIF\":3.3000,\"publicationDate\":\"2025-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11912788/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Complementary Medicine and Therapies\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12906-025-04839-5\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"INTEGRATIVE & COMPLEMENTARY MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Complementary Medicine and Therapies","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12906-025-04839-5","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INTEGRATIVE & COMPLEMENTARY MEDICINE","Score":null,"Total":0}
引用次数: 0
摘要
背景:天竺葵在中医中被广泛用于治疗肿瘤。然而,其在胰腺癌中的具体作用机制尚不清楚。本研究采用网络药理学分析方法,鉴定光棘草的有效成分及其相应的治疗胰腺癌的靶点。此外,通过分子对接、分子动力学模拟和体外实验验证了研究结果。方法:利用TCMSP数据库,结合文献检索,鉴定光参的有效成分及其治疗胰腺癌的靶点。利用基因表达Omnibus (Gene Expression Omnibus, GEO)数据库中的数据鉴定差异表达基因,并利用STRING平台构建差异表达基因的蛋白-蛋白相互作用(protein-protein interaction, PPI)网络。利用基因本体(Gene Ontology, GO)和京都基因与基因组百科全书(Kyoto Encyclopedia of genes and Genomes, KEGG)分析,在R软件中进一步评估了光裂菇的靶基因。随后,建立了蛋白-蛋白相互作用(PPI)网络和复合靶标-通路网络。靶基因进行存活和突变分析。通过分子对接和分子动力学模拟验证了轮毂靶基因与光斑草的相互作用。此外,还进行了光斑S. glabra体外抗胰腺癌细胞活力及qRT-PCR验证。结果:共鉴定出20个有效成分和70个靶点。基于PPI网络,我们确定了CASP3、MMP9、CCND1、EGF、MMP2、CASP8、ERBB2、STAT1和PPARG为枢纽靶基因。富集分析表明,S. glabra可能主要影响p53信号、癌症转录失调、癌症蛋白聚糖、胰腺癌和细胞周期等途径。分子对接和分子动力学模拟表明,无氢葡萄素- gsk3b与槲皮素- ppar结合稳定。体外实验表明,光光草对胰腺癌细胞PANC-1的生长有明显抑制作用,并能下调GSK3B和PPARG的表达(P)。结论:本研究证实了中药光光草治疗胰腺癌的潜力。该研究结果为深入了解光棘有效成分的作用机制提供了理论依据,为其临床应用提供了理论依据。临床试验号:不适用。
Revealing the multi-target compounds of Sarcandra glabra identification and inhibition of novel target genes for the treatment of pancreatic cancer.
Background: S. glabra has been widely used to treat tumors in traditional Chinese medicine (TCM). However, the specific mechanism of action of S. glabra in pancreatic cancer remains unclear. In this study, network pharmacological analysis was used to identify the active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer. Furthermore, molecular docking, molecular dynamic simulations, and in vitro experiments were performed to validate the findings.
Methods: The active components of S. glabra and their corresponding targets for the treatment of pancreatic cancer were identified using the TCMSP database and a literature search. Differentially expressed genes were identified using data from the Gene Expression Omnibus (GEO) database, and their protein-protein interaction (PPI) network was constructed using the STRING platform. The target genes of S. glabra were further assessed using Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses in the R software. Subsequently, a protein-protein interaction (PPI) network and a composite target-pathway network were established. The target genes were subjected to survival and mutation analyses. Molecular docking and molecular dynamic simulations were used to validate the interaction between the hub target genes and S. glabra in vitro. In addition, cell viability and qRT-PCR verification of S. glabra against pancreatic cancer in vitro.
Results: A total of 20 active components and 70 targets were identified. Based on the PPI network, CASP3, MMP9, CCND1, EGF, MMP2, CASP8, ERBB2, STAT1, and PPARG were identified as hub target genes. Enrichment analysis showed that S. glabra may primarily affect pathways such as p53 signaling, transcriptional dysregulation in cancer, proteoglycans in cancer, pancreatic cancer, and cell cycle. Molecular docking and molecular dynamic simulations indicated stable binding between anhydroicaritin-GSK3B and quercetin-PPARG. In vitro experiments demonstrated that treatment with S. glabra significantly inhibited the growth of PANC-1 cells and downregulated expression of GSK3B and PPARG (P < 0.05).
Conclusion: This study demonstrates the potential of S. glabra, a herb in traditional Chinese medicine, for treating pancreatic cancer. The findings provide insights into the mechanism of action of the active ingredients of S. glabra, offering a strong theoretical foundation for its various clinical applications.