Mechanisms of the Compound of Magnoliae Flos and Xanthii Fructus Essential Oils for the Treatment of Allergic Rhinitis based on the Integration of Network Pharmacology, Molecular Docking, and Animal Experiment.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Tao Lu, Yuqin Yang, Zhenlin Yang, Ziyi Liu, Miao Li, Ziman Lu, Ting Gong, Jincheng Zhang
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引用次数: 0

Abstract

Aim and objective: Magnoliae Flos (Chinese name: Xin-Yi) and Xanthii Fructus (Chinese name: Cang-Er-Zi) are Chinese herbal medicines and have been used to treat allergic rhinitis (AR). However, the therapeutic effect, active ingredients, and probable processes of a compound of Magnoliae Flos and Xanthii Fructus in the form of essential oils (CMFXFEO) in treating AR have not been reported. This study aims to determine the efficacy of the CMFXFEO on ovalbumin (OVA)-induced AR in a rat model and to use network pharmacology and molecular docking to reveal the hub genes, biological functions, and signaling pathways of CMFXFEO against AR.

Methods: Animal experiments were applied to validate the role of CMFXFEO in the treatment of AR. 20 rats were randomly divided into four groups: control group (CON, n=5), positive control group (AR, n=5), CMFXFEO-treated group (AR+CMFXFEO, n=5), and budesonide-treated group (AR+Budesonide, n=5). Rats were stimulated with OVA to induce AR. Symptom scores assessment and histo-pathomorphological evaluation was performed. The serum level of OVA-specific immunoglobulin (Ig) E was measured. Gas Chromatograph-Mass Spectrometer analysis (GC-MS) was used to identify the monomer chemical composition of CMFXFEO. The target genes of CMFXFEO were obtained by using PubChem and SwissTargetPrediction databases. The target genes of AR were screened using GeneCards, DisGeNET, and OMIM databases. The target genes were intersected using the venny2.1 website to obtain the potential therapeutic targets of CMFXFEO for treating AR and to construct the PPI network. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to reveal associated signaling pathways. The Sybyl tool was used to dock the CMFXFEO with key therapeutic targets molecularly.

Results: Intranasal CMFXFEO administration significantly suppressed the allergic symptoms, reduced the inflammatory cell infiltration, and the serum level of OVA-specific immunoglobulin (Ig) E. The main components of CMFXFEO obtained through the GC-MS analysis, listed as γ-terpinene (9.4908%), limonene (7.2693%), menthol (7.1821%), β-pinene (7.1190%), β-caryophyllene (7.0396%), eucalyptol (6.1367%), linalool(5.9686%), eugenol (5.0776%). A total of 398 CMFXFEO targets and 488 AR-related targets were screened, of which 42 were common targets. The GO and KEGG pathway analyses unveiled that CMFXFEO were strongly associated with several signaling pathways, including the AGE-RAGE signaling pathway, TNF signaling pathway, and Chemokine signaling pathway. PPI network construction screened six hub genes as therapeutic targets, including STAT3, IL1B, TLR4, PTGS2, ICAM1, and VCAM1. The molecular docking verification indicated that CMFXFEO have good binding activity with therapeutic targets, and β-Pinene's docking ability with TLR4 is particularly prominent.

Conclusion: The anti-inflammatory and anti-allergic effects of CMFXFEO are to inhibit the infiltration of inflammatory cells in the OVA-induced AR rat model. The results of the network pharmacology and molecular docking deduced that the CMFXFEO may have the potential to treat AR by multiple pathways through relieving inflammatory, anti-oxidative stress response, and modulating the immune system.

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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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