景芝牛黄解毒片通过 AKT/NFκB/NLRP3 信号通路改善口腔黏膜炎:网络药理学与实验验证。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Chunlan Fan, Hongping Wang, Qiong Yin, Pin Li, Quantao Ma, Zhaozhou Lin, Chen Zhao, Ping Peng, Zijian Wang, Yingnan Lv, Zhibin Wang
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引用次数: 0

摘要

背景:口腔粘膜炎(OM)是癌症治疗过程中一种常见且症状严重的并发症,会影响患者的功能和生活质量。景芝牛黄解毒片(JNT)源自著名中药方剂黄连解毒片和防风通圣煎膏,已被广泛用于治疗热毒综合征疾病,如急性咽炎、牙周炎、口腔溃疡和口腔粘膜炎(OM),但其潜在机制仍不清楚:本研究通过整合网络药理学分析和实验验证,验证了 JNT 治疗 OM 的疗效并探索了其潜在机制:方法:采用网络药理学和分子对接技术预测金纽崔莱治疗OM的活性成分、关键靶点和潜在作用机制。大鼠 OM 模型是通过给大鼠口腔黏膜注射 5-氟尿嘧啶(5-FU)和醋酸建立的。经脂多糖(LPS)处理的人牙龈成纤维细胞(HGFs)被用作炎症细胞模型。转染 GFP-NFκB HEK293T 细胞系以评估 JNT 的抗 NFκB 活性:结果:利用 JNT 预测了 236 种中药成分和 201 个相应的 OM 治疗靶点。结果:通过 JNT 预测了 236 种中药成分和 201 个相应的靶点,其中双黄连、木犀草素、木犀草苷和柚皮苷被认为是重要的活性化合物,而 AKT1、ALB、IL6、MAPK3 和 VEGFA 被认为是主要靶点。分子对接显示,这些活性化合物与其靶标有很强的结合相互作用。体内和体外实验表明,JNT 的抗OM作用可能与 AKT1、NFκB、caspase-1 和 NLRP3 以及炎症反应和氧化应激等生物过程密切相关:网络药理学和实验证据表明,JNT 通过调节 Akt/NFκB/NLRP3 通路对 OM 具有潜在的治疗作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Jingzhi Niuhuangjiedu Tablet Ameliorates Oral Mucositis via the AKT/NFκB/NLRP3 Signaling Pathway: A Network Pharmacology and Experimental Validation.

Background: Oral Mucositis (OM) is a common and highly symptomatic complication of cancer therapy that affects patient function and quality of life. Jingzhi Niuhuangjiedu Tablet (JNT) is derived from the famous Chinese herbal formulas Huanglian Jiedu and Fangfeng Tongsheng decoctions, which have been widely used to treat heat toxin syndrome diseases, such as acute pharyngitis, periodontitis, oral ulcers, and oral mucositis (OM), but the underlying mechanism remains unclear.

Objectives: This study validated the efficacy and explored the potential mechanisms of JNT in the treatment of OM by integrating network pharmacological analyses and experimental verification.

Methods: Network pharmacology and molecular docking techniques were used to predict the active components, key targets, and potential mechanisms of action of JNT against OM. The rat OM model was established by administering 5-Fluorouracil (5-FU) and acetic acid to the rat oral mucosa. Lipopolysaccharide (LPS)-treated human gingival fibroblasts (HGFs) were used as an inflammatory cell model. The GFP-NFκB HEK293T cell line was transfected to evaluate the anti-NFκB activity of JNT.

Results: A total of 236 Chinese herbal components and 201 corresponding targets were predicted for OM treatment using JNT. Bicuculine, luteolin, wogonin, and naringenin were identified as the important active compounds, while AKT1, ALB, IL6, MAPK3, and VEGFA were considered to be the major targets. Molecular docking revealed that these active compounds exhibited strong binding interactions with their targets. In vivo and in vitro experiments demonstrated that the anti-OM effect of JNT might be closely related to AKT1, NFκB, caspase-1, and NLRP3, as well as biological processes, such as inflammatory response and oxidative stress.

Conclusion: Network pharmacological and experimental evidence indicates that JNT has a potential therapeutic effect on OM by regulating the Akt/NFκB/NLRP3 pathway.

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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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