Investigating the Potential Pharmacological Mechanisms of Huangqi in Allergic Rhinitis Using Network Pharmacology and Molecular Docking Strategies.

IF 1.7 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Zehua Lin, Aikebaier Tuohuti, Xiuping Yang, Jiahao Meng, Baoai Han, Xiong Chen
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Abstract

Background: Allergic rhinitis (AR) is a common immune disorder that substantially impairs quality of life. Huangqi, a traditional Chinese medicine (TCM), exhibits notable antiinflammatory and anti-allergic effects. However, the molecular mechanisms underlying its therapeutic effects on AR remain unclear. This study aimed to systematically elucidate the targets and pharmacological mechanisms of Huangqi in the treatment of AR.

Methods: We utilized network pharmacology, molecular docking, and Mendelian randomization analysis to identify candidate genes associated with AR. An AR cell model was established using house dust mite (HDM) stimulation to explore the expression and regulatory roles of these genes in vitro. Additionally, an HDM-induced AR mouse model was developed to validate the therapeutic mechanisms of Huangqi in vivo.

Results: Network pharmacology identified 168 target genes associated with Huangqi in relation to AR, among which 32 core genes were selected based on degree, closeness, and betweenness centrality metrics. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses indicated that oxidative stress, transcriptional regulation, and inflammatory pathways are the primary mechanisms involved. Molecular docking results revealed that kaempferol exhibited the highest binding affinity to SRC (-11.9 kcal/mol). Mendelian randomization analysis further established a potential causal relationship between TNF, SRC, BCL2, and AR. Both in vitro and in vivo experiments confirmed that kaempferol significantly inhibited inflammation-related gene expression by downregulating SRC.

Discussion: These findings suggest that Huangqi, through its active compound kaempferol, mitigates AR by modulating inflammatory pathways, with SRC serving as a pivotal molecular target, providing new insights for the development of clinical interventions.

Conclusions: Kaempferol is likely the key active component of Huangqi in the treatment of AR, primarily exerting its therapeutic effects through the modulation of SRC expression.

基于网络药理学和分子对接策略研究黄芪治疗变应性鼻炎的潜在药理机制。
背景:变应性鼻炎(AR)是一种常见的严重影响生活质量的免疫系统疾病。黄芪是一种中药,具有显著的抗炎和抗过敏作用。然而,其治疗AR的分子机制尚不清楚。方法:采用网络药理学、分子对接、孟德尔随机化分析等方法,筛选与AR相关的候选基因,并通过室内尘螨(HDM)刺激建立AR细胞模型,探讨这些基因在体外表达及调控AR细胞中的作用。此外,我们建立了hdm诱导的AR小鼠模型,以验证黄芪在体内的治疗机制。结果:网络药理学鉴定出168个黄芪与AR相关的靶基因,通过度、紧密度和中间中心性指标筛选出32个核心基因。基因本体和京都基因与基因组百科分析表明,氧化应激、转录调控和炎症途径是参与的主要机制。分子对接结果显示山奈酚与SRC的结合亲和力最高(-11.9 kcal/mol)。孟德尔随机化分析进一步确立了TNF、SRC、BCL2和AR之间的潜在因果关系。体外和体内实验均证实山奈酚通过下调SRC显著抑制炎症相关基因的表达。讨论:这些研究结果表明,黄芪通过其活性化合物山奈酚通过调节炎症途径减轻AR, SRC作为关键的分子靶点,为临床干预措施的发展提供了新的见解。结论:山奈酚可能是黄芪治疗AR的关键活性成分,主要通过调节SRC表达发挥其治疗作用。
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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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