Mechanisms Underlying the Therapeutic Effects of Yiqi Wenyang Huwei Decoction in Treating Asthma Based on GEO Datasets, Network Pharmacology, Experimental Validation, and Molecular Docking.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2024-11-28 DOI:10.2174/0113862073293081240606111739
Shuangdi Xiang, Yujiao Lu, Linhui Cheng, Hanrong Xue
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Abstract

Purpose: The Yiqi Wenyang Huwei Decoction (YWHD) is an herbal formula frequently utilized to treat asthma. Despite its wide usage, the specific mechanism of action remains unknown. Through an in-depth investigation utilizing network pharmacology, molecular docking techniques, and experimental validation, this study aims to uncover the molecular mechanism and material basis of YWHD in the treatment of asthma.

Methods: The compounds and targets of YWHD were gathered from various databases such as TCMSP, PubMed, and CNKI. Additionally, asthma-related targets were obtained by combining the GEO dataset with GeneCards and OMIM databases. The STRING platform was employed to establish protein-protein interactions. GO and KEGG pathway enrichment analyses were conducted using DAVID. Molecular docking was utilized to assess the binding affinity between potential targets and active compounds. The asthma rat model was established through OVA induction, and a lung function meter was used to detect Mch-induced Max Rrs. HE staining was conducted to observe pathological changes, while ELISA was used to detect levels of inflammatory factors IL4, IL6, IL13, and IgE in BLAF. Furthermore, qPCR was used to detect levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, while Western blot assay was employed to measure phosphorylation levels of NF-κB and IKKα.

Results: A comprehensive study revealed that YWHD has 188 active compounds and 250 corresponding targets. After conducting a topological analysis of the PPI network, the study identified 14 high-activity targets, including JUN, PTGS2, IL6, IL1B, CXCL8, MMP9, IL10, ALB, TGFB1, CCL2, IFNG, IL4, MAPK3, and STAT3. Further, GO and KEGG pathway enrichment analysis indicated that YWHD targets inflammation-related genes and regulates IL- 17 and NF-kappa B signaling pathways. Animal studies have shown that YWHD can effectively minimize airway Max Rrs, reduce the levels of inflammatory factors IL4, IL13, IL6, and IgE in BLAF, and improve airway inflammation in rats with asthma. Molecular experiments have also demonstrated that YWHD achieves this by down-regulating the expression levels of IL-1β, IL-6, JUN, and PTGS2 mRNA, inhibiting the phosphorylation modification levels of NF-κB and IKKα, and reducing the levels of inflammatory cytokines IL4, IL13, IL6, and IgE in BALF of rats. Interestingly, molecular docking has revealed that the active compounds in YWHD have a strong binding ability to the screening targets.

Conclusion: This research endeavor systematically explicated the active constituents, prospective targets, and signaling pathways of YWHD for asthmatic intervention. The study provides an innovative notion and dependable resource for comprehending the molecular mechanism and pharmaceutical screening of YWHD in the context of asthma treatment.

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益气温阳护胃汤治疗哮喘的作用机制:基于GEO数据集、网络药理学、实验验证、分子对接
目的:益气温阳护胃汤是治疗哮喘的常用中药方剂。尽管其广泛使用,具体的作用机制尚不清楚。本研究旨在通过网络药理学、分子对接技术和实验验证等深入研究,揭示YWHD治疗哮喘的分子机制和物质基础。方法:从中国医学数据库(TCMSP)、PubMed、中国知网(CNKI)等数据库中收集YWHD的化合物和靶点。此外,通过将GEO数据集与GeneCards和OMIM数据库相结合,获得哮喘相关靶点。STRING平台用于建立蛋白-蛋白相互作用。使用DAVID进行GO和KEGG途径富集分析。利用分子对接来评估潜在靶点与活性化合物之间的结合亲和力。通过OVA诱导建立哮喘大鼠模型,用肺功能仪检测mch诱导的最大rrrs。采用HE染色观察病理变化,ELISA法检测BLAF中炎性因子IL4、IL6、IL13、IgE水平。qPCR检测IL-1β、IL-6、JUN和PTGS2 mRNA水平,Western blot检测NF-κB和IKKα磷酸化水平。结果:综合研究发现黄芪多糖具有188种活性化合物和250个相应的靶点。在对PPI网络进行拓扑分析后,该研究确定了14个高活性靶点,包括JUN、PTGS2、IL6、IL1B、CXCL8、MMP9、IL10、ALB、TGFB1、CCL2、IFNG、IL4、MAPK3和STAT3。此外,GO和KEGG通路富集分析表明,YWHD靶向炎症相关基因,调节IL- 17和NF-kappa B信号通路。动物实验表明,YWHD能有效降低哮喘大鼠气道Max Rrs,降低BLAF中炎症因子IL4、IL13、IL6、IgE水平,改善哮喘大鼠气道炎症。分子实验也表明,YWHD通过下调IL-1β、IL-6、JUN和PTGS2 mRNA的表达水平,抑制NF-κB和IKKα的磷酸化修饰水平,降低炎症因子IL4、IL13、IL6和IgE的水平来实现这一功能。有趣的是,分子对接发现YWHD中的活性化合物与筛选靶点具有较强的结合能力。结论:本研究系统地阐明了YWHD对哮喘的有效成分、潜在靶点和信号通路。本研究为理解YWHD在哮喘治疗中的分子机制和药物筛选提供了创新的思路和可靠的资源。
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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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