{"title":"Jingzhi Niuhuangjiedu Tablet Ameliorates Oral Mucositis via the AKT/NFκB/NLRP3 Signaling Pathway: A Network Pharmacology and Experimental Validation.","authors":"Chunlan Fan, Hongping Wang, Qiong Yin, Pin Li, Quantao Ma, Zhaozhou Lin, Chen Zhao, Ping Peng, Zijian Wang, Yingnan Lv, Zhibin Wang","doi":"10.2174/0113862073328881240808071048","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Objectives: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>Network pharmacological and experimental evidence indicates that JNT has a potential therapeutic effect on OM by regulating the Akt/NFκB/NLRP3 pathway.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2024-08-08","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/10.2174/0113862073328881240808071048","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: 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.
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.