Suppr超能文献

采用网络药理学、分子对接、分子动力学模拟和实验验证相结合的方法,考察复方蛤青颗粒治疗白癜风的疗效及免疫调节作用机制。

Combining network pharmacology, molecular docking, molecular dynamics simulation, and experimental verification to examine the efficacy and immunoregulation mechanism of FHB granules on vitiligo.

机构信息

Shanghai Skin Disease Hospital, Tongji University School of Medicine, Shanghai, China.

Shanghai Engineering Research Center for Topical Chinese Medicine, Shanghai, China.

出版信息

Front Immunol. 2023 Jul 27;14:1194823. doi: 10.3389/fimmu.2023.1194823. eCollection 2023.

Abstract

BACKGROUND

Fufang Honghua Buji (FHB) granules, have proven efficacy against vitiligo in long-term clinical practice. However, its major active chemical components and molecular mechanisms of action remain unknown. The purpose of this study was to confirm the molecular mechanism of FHB's therapeutic effect on vitiligo utilizing network pharmacology, molecular docking, and molecular dynamics simulation prediction, as well as experimental verification.

METHODS

Traditional Chinese Medicine Systems Pharmacology (TCMSP) and HERB databases were used to obtain the chemical composition and action targets of FHB. Online Mendelian Inheritance in Man (OMIM), DrugBank, DisGeNET, GeneCards, and Therapeutic Target Database (TTD) databases were applied to screen for vitiligo-related targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed through the Matascape database. Molecular docking and dynamics simulation methods were for the analysis of the binding sites and binding energies between the FHB's active components and the targets. Finally, a vitiligo mouse model was created, and the therapeutic effect and molecular mechanism of action of FHB were validated using enzyme linked immunosorbent assay (ELISA), western blot (WB), and quantitative reverse transcription-polymerase chain reaction (qRT-PCR). Additionally, hematoxylin-eosin staining (HE) and blood biochemical assays were conducted to assess the biosafety of FHB.

RESULT

The screening of chemical composition and targets suggested that 94 genetic targets of FHB were associated with vitiligo. The bioinformatics analysis suggested that luteolin, quercetin, and wogonin may be major active components, and nuclear factor-kappa B p65 subunit (RELA), signal transducer, and activator of transcription (STAT) 3 and RAC-alpha serine/threonine-protein kinase (AKT) 1 may be potential targets of FHB-vitiligo therapy. Molecular docking and dynamics simulation further demonstrated that luteolin, quercetin, and wogonin all bound best to STAT3. Through experimental verification, FHB has been demonstrated to alleviate the pathogenic characteristics of vitiligo mice, suppress the JAK-STAT signaling pathway, reduce inflammation, and increase melanogenesis. The safety evaluation experiments also demonstrated the non-toxicity of FHB.

CONCLUSIONS

FHB exerts anti-inflammatory and melanogenesis-promoting effects via the effect of multi-component on multi-target, among which the JAK-STAT pathway is a validated FHB-vitiligo target, providing new ideas and clues for the development of vitiligo therapy.

摘要

背景

复方红花补骨脂颗粒在长期的临床实践中已被证明对白癜风有疗效。然而,其主要的活性化学成分和作用机制尚不清楚。本研究旨在利用网络药理学、分子对接和分子动力学模拟预测以及实验验证来确认复方红花补骨脂颗粒治疗白癜风的分子机制。

方法

利用中药系统药理学(TCMSP)和 HERB 数据库获取复方红花补骨脂颗粒的化学成分和作用靶点。在线孟德尔遗传数据库(OMIM)、药物数据库(DrugBank)、疾病基因数据库(DisGeNET)、基因卡片数据库(GeneCards)和治疗靶点数据库(TTD)筛选与白癜风相关的靶点。通过 Matascape 数据库进行基因本体(GO)和京都基因与基因组百科全书(KEGG)富集分析。采用分子对接和动力学模拟方法分析复方红花补骨脂颗粒活性成分与靶点的结合位点和结合能。最后,建立白癜风小鼠模型,通过酶联免疫吸附测定(ELISA)、Western blot(WB)和实时荧光定量聚合酶链反应(qRT-PCR)验证复方红花补骨脂颗粒的治疗效果和作用机制。此外,进行苏木精-伊红染色(HE)和血液生化检测评估复方红花补骨脂颗粒的生物安全性。

结果

化学成分和靶点的筛选提示,复方红花补骨脂颗粒 94 个遗传靶点与白癜风相关。生物信息学分析提示,木犀草素、槲皮素和甘草查尔酮 A 可能是主要的活性成分,核因子-κB p65 亚基(RELA)、信号转导和转录激活因子(STAT)3 和 RAC-α 丝氨酸/苏氨酸蛋白激酶(AKT)1 可能是复方红花补骨脂颗粒治疗白癜风的潜在靶点。分子对接和动力学模拟进一步表明,木犀草素、槲皮素和甘草查尔酮 A 均与 STAT3 结合最好。通过实验验证,复方红花补骨脂颗粒可缓解白癜风小鼠的发病特征,抑制 JAK-STAT 信号通路,减轻炎症,促进黑色素生成。安全性评价实验也证明了复方红花补骨脂颗粒无毒性。

结论

复方红花补骨脂颗粒通过多成分、多靶点发挥抗炎和促黑色素生成作用,其中 JAK-STAT 通路是验证有效的复方红花补骨脂颗粒治疗白癜风的靶点,为白癜风治疗的发展提供了新的思路和线索。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b05f/10414113/2511aee2bf23/fimmu-14-1194823-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验