Molecular Mechanisms of Danggui Shaoyao Powder in the Treatment of Ulcerative Colitis: A Network Pharmacology Approach with Experimental Validation.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Yanxia Huang, QiaoHong Lin, Min Zhu, Ke Chen, Xuehua Cai, Aizhen Pan, Bin Zhang
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引用次数: 0

Abstract

Introduction: Danggui Shaoyao Powder (DSP), a classical prescription in Traditional Chinese Medicine (TCM), has garnered growing evidence for its promising therapeutic effects on ulcerative colitis (UC). Nevertheless, the specific molecular mechanisms responsible for its anti-UC activity remain poorly understood. Herein, we integrated network pharmacology with experimental validation to systematically explore and clarify the underlying mechanisms of DSP in the treatment of UC.

Methods: Network pharmacology was utilized to identify the active components and therapeutic targets of DSP in the treatment of UC. Subsequently, a protein-protein interaction (PPI) network of the identified targets was constructed using the STRING database, followed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses. Molecular docking was performed to evaluate the binding affinity between the primary bioactive components of DSP and Th17-associated proteins. Finally, the protective efficacy of DSP in maintaining immune homeostasis and alleviating inflammation was validated in vivo using a dextran sulfate sodium (DSS)- induced UC mouse model.

Results: A total of 51 active components of DSP and 103 corresponding targets were retrieved from the TCMSP database. Additionally, 4,419 potential targets associated with UC were identified from the OMIM, DisGeNET, and GeneCards databases. Sixty-three overlapping potential targets were identified as therapeutic targets of DSP against UC, which were subsequently refined to construct an optimized protein-protein interaction network containing 100 central nodes. Key hubs included IL-6, AKT1, ESR1, CASP3, PTGS2, BCL2, PPARG, HSP90AA1, TGF-β1, and JUN, and these targets were highly enriched in pathways associated with inflammatory regulation and immune signaling, with Th17 cell differentiation serving as a key biological process. Molecular docking demonstrated stable binding affinities between the DSP components Paeoniflorin and Stigmasterol and the core targets TGF-β1 and IL-6 (binding energy < -5 kcal/mol). Furthermore, in vivo experiments demonstrated that DSP ameliorated symptoms and histological changes in DSS-induced colitis by inhibiting Th17 cell differentiation.

Discussion: This study provides experimental evidence supporting the protective effects of DSP against UC, with its actions likely mediated, at least in part, through the modulation of Th17 cell differentiation. These results deepen our insight into the mechanistic underpinnings of DSP activity and can serve as a theoretical basis for the further advancement of DSP-based therapeutic strategies for UC.

Conclusion: DSP has shown potential as a therapeutic agent for UC by acting on multiple core targets and relevant signaling pathways, with the modulation of Th17 cell differentiation serving as a key mediating mechanism.

当归少药散治疗溃疡性结肠炎的分子机制:网络药理学方法及实验验证。
当归少药散(DSP)是一种经典的中药方剂,其治疗溃疡性结肠炎(UC)的效果越来越好。然而,其抗uc活性的具体分子机制仍然知之甚少。在此,我们将网络药理学与实验验证相结合,系统探索和阐明DSP治疗UC的潜在机制。方法:采用网络药理学方法鉴定DSP治疗UC的有效成分和治疗靶点。随后,利用STRING数据库构建鉴定目标蛋白-蛋白相互作用(PPI)网络,然后进行基因本体(GO)和京都基因与基因组百科全书(KEGG)途径富集分析。通过分子对接来评估DSP主要生物活性成分与th17相关蛋白之间的结合亲和力。最后,采用葡聚糖硫酸钠(DSS)诱导的UC小鼠模型,验证了DSP在维持免疫稳态和减轻炎症方面的保护作用。结果:从TCMSP数据库中共检索到51个DSP有效成分和103个相应的靶点。此外,从OMIM、DisGeNET和GeneCards数据库中确定了4419个与UC相关的潜在靶点。确定了63个重叠的潜在靶点作为DSP治疗UC的靶点,随后对其进行了优化,构建了包含100个中心节点的优化蛋白-蛋白相互作用网络。关键枢纽包括IL-6、AKT1、ESR1、CASP3、PTGS2、BCL2、PPARG、HSP90AA1、TGF-β1和JUN,这些靶点在炎症调节和免疫信号通路中高度富集,Th17细胞分化是一个关键的生物学过程。分子对接表明DSP组分芍药苷和豆甾醇与核心靶点TGF-β1和IL-6具有稳定的结合亲和力(结合能< -5 kcal/mol)。此外,体内实验表明,DSP通过抑制Th17细胞分化,改善了dss诱导的结肠炎的症状和组织学改变。讨论:本研究提供了实验证据,支持DSP对UC的保护作用,其作用可能至少部分是通过调节Th17细胞分化介导的。这些结果加深了我们对DSP活性的机制基础的认识,并可以作为进一步推进基于DSP的UC治疗策略的理论基础。结论:DSP通过作用于多个核心靶点和相关信号通路,Th17细胞分化的调节是其关键的介导机制,具有作为UC治疗药物的潜力。
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来源期刊
CiteScore
3.10
自引率
5.60%
发文量
327
审稿时长
7.5 months
期刊介绍: Combinatorial Chemistry & High Throughput Screening (CCHTS) publishes full length original research articles and reviews/mini-reviews dealing with various topics related to chemical biology (High Throughput Screening, Combinatorial Chemistry, Chemoinformatics, Laboratory Automation and Compound management) in advancing drug discovery research. Original research articles and reviews in the following areas are of special interest to the readers of this journal: Target identification and validation Assay design, development, miniaturization and comparison High throughput/high content/in silico screening and associated technologies Label-free detection technologies and applications Stem cell technologies Biomarkers ADMET/PK/PD methodologies and screening Probe discovery and development, hit to lead optimization Combinatorial chemistry (e.g. small molecules, peptide, nucleic acid or phage display libraries) Chemical library design and chemical diversity Chemo/bio-informatics, data mining Compound management Pharmacognosy Natural Products Research (Chemistry, Biology and Pharmacology of Natural Products) Natural Product Analytical Studies Bipharmaceutical studies of Natural products Drug repurposing Data management and statistical analysis Laboratory automation, robotics, microfluidics, signal detection technologies Current & Future Institutional Research Profile Technology transfer, legal and licensing issues Patents.
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