Elucidating the Action Mechanism of Shenling Baizhu Powder in the Treatment of Ulcerative Colitis Based on Network Pharmacology and Experimental Validation.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Mei Wang, Lile Feng, Xuan Wang, Anping Qiao, Xiaogang Jia, Xiaofei Zhang, Dongyan Guo, Yajun Shi
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引用次数: 0

Abstract

Objective: To elucidate the therapeutic mechanisms of Shenling Baizhu Powder (SLBZ) in treating ulcerative colitis (UC) through an integrated approach combining network pharmacology and experimental validation, highlighting its potential as an alternative or complementary therapy.

Methods: The active constituents and corresponding targets of SLBZ were identified using the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). UC-related targets were obtained from DrugBank and the Comparative Toxicogenomics Database (CTD). Overlapping targets were visualized using a Venn diagram, and protein- protein interactions were mapped using the STRING database. The "compound-componentdisease- target" network was constructed through GO function analysis and KEGG pathway enrichment analysis. Molecular docking was performed using Discovery Studio 4.5 software. A UC mouse model was induced with dextran sodium sulfate (DSS), and mice were divided into normal, UC, SLBZ (low, medium, high doses), and mesalazine groups, treated for 14 days. Histopathological changes in colon tissues were assessed, and serum levels of IL-4, TNF-α, and HIF-1α were measured by immunohistochemistry to verify SLBZ's targets in UC treatment.

Results: A total of 408 active ingredients and 2118 corresponding targets were identified in SLBZ, with 2052 targets associated with UC, resulting in 610 overlapping targets. Further refinement identified 54 active ingredients and 86 targets, with quercetin, betulin, catharanthamine, and glyasperin B as key components. Core targets included TP53, AKT1, JUN, and HSP90AA1. KEGG analysis suggested SLBZ's involvement in PI3K/Akt, JAK2/STAT3, and TNF signaling pathways. Molecular docking confirmed strong binding affinities between key targets and main components. Histological analysis showed that SLBZ alleviated DSS-induced colonic tissue injury, while immunohistochemistry revealed reduced expression of TNF-α and STAT3, and upregulated IL-4, indicating modulation of the JAK/STAT3 pathway.

Conclusion: SLBZ exerts therapeutic effects on UC by targeting key proteins (e.g., TP53, AKT1, JUN) and modulating critical pathways (e.g., JAK2/STAT3). This study provides a theoretical basis for the potential of SLBZ as a multi-targeted therapeutic agent for UC, which can be further explored through clinical trials and multi-omics analyses to validate its efficacy and safety.

参龄白术散治疗溃疡性结肠炎作用机制的网络药理学研究及实验验证。
目的:通过网络药理学与实验验证相结合的方法,阐明参苓白术散治疗溃疡性结肠炎(UC)的作用机制,突出其作为替代或补充治疗的潜力。方法:利用中药系统药理学数据库与分析平台(TCMSP)对SLBZ的有效成分及相应靶点进行鉴定。uc相关靶点来自DrugBank和比较毒物基因组学数据库(CTD)。使用维恩图可视化重叠靶点,使用STRING数据库绘制蛋白质-蛋白质相互作用图。通过GO功能分析和KEGG通路富集分析,构建了“化合物-组分-疾病-靶点”网络。使用Discovery Studio 4.5软件进行分子对接。用葡聚糖硫酸钠(DSS)建立UC小鼠模型,将小鼠分为正常组、UC组、SLBZ(低、中、高剂量)组、美沙拉嗪组,治疗14 d。观察结肠组织病理变化,免疫组化检测血清IL-4、TNF-α、HIF-1α水平,验证SLBZ治疗UC的靶点。结果:SLBZ共鉴定出408种有效成分和2118个相应的靶点,其中与UC相关的靶点2052个,重叠靶点610个。进一步精化鉴定出54种有效成分和86种靶点,其中槲皮素、白桦素、catharanthamine和glyasperin B是关键成分。核心靶点包括TP53、AKT1、JUN和HSP90AA1。KEGG分析表明SLBZ参与PI3K/Akt、JAK2/STAT3和TNF信号通路。分子对接证实了关键靶点与主要成分之间的强结合亲和力。组织学分析显示,SLBZ减轻了dss诱导的结肠组织损伤,免疫组化显示TNF-α和STAT3表达降低,IL-4表达上调,提示JAK/STAT3通路受到调控。结论:SLBZ通过靶向关键蛋白(如TP53、AKT1、JUN)和调节关键通路(如JAK2/STAT3)对UC发挥治疗作用。本研究为SLBZ作为UC多靶点治疗剂的潜力提供了理论基础,可通过临床试验和多组学分析进一步探索其有效性和安全性。
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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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