{"title":"Investigating the Potential Pharmacological Mechanisms of Huangqi in Allergic Rhinitis Using Network Pharmacology and Molecular Docking Strategies.","authors":"Zehua Lin, Aikebaier Tuohuti, Xiuping Yang, Jiahao Meng, Baoai Han, Xiong Chen","doi":"10.2174/0113862073449045260321213418","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Discussion: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.7000,"publicationDate":"2026-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113862073449045260321213418","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 0
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.
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.