Exploration of the Mechanism of Tanre Qing Injection in Treating Acute Respiratory Distress Syndrome through Network Pharmacology, Molecular Docking, and Animal Experiments.

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS
Liang Wang, Ganqun Lu, Tianyu Cheng, Shuangquan Wen, Wenxiang Ma, Yixuan Li
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Abstract

Objective: This study aimed to explore the active components and potential mechanism of Tanre Qing Injection (TRQI) in the treatment of Acute Respiratory Distress Syndrome (ARDS) using network pharmacology, molecular docking, and animal experiments.

Methods: The targets of active ingredients were identified using the TCMSP and Swiss Target Prediction databases. The targets associated with ARDS were obtained from the GeneCards database, Mala card database, and Open Targets Platform. A Protein-protein Interaction network (PPI) was constructed, and the core targets were subjected to Gene Ontology (GO) function annotation and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis. Finally, molecular docking technology and a mouse model of lipopolysaccharide-induced acute lung injury validated the experimental results.

Results: The results of network pharmacology showed the active components of TRQI in the treatment of ARDS to be baicalin, chenodeoxycholic acid, oroxylin-A, and ursodeoxycholic acid, and the core targets to be TP53, ESR1, AKT1, JUN, and SRC. KEGG analysis showed 181 signaling pathways, primarily including the IL-17 signaling pathway, endocrine resistance, lipid metabolism, and atherosclerosis. Molecular docking results demonstrated that baicalin, chenodeoxycholic acid, oroxylin-A, and ursodeoxycholic acid in TRQI exhibited the strongest affinity for TP53, ESR1, and SRC. Furthermore, the results of animal experiments have indicated TRQI to have a significant inhibitory effect on inflammatory factors TNF-α, IL-1β, and IL-6, and effectively alleviate the pathological damage of ARDS to lung tissue.

Conclusion: TRQI may exert its therapeutic effects on ARDS through multiple targets and pathways, providing a research basis for its clinical application and further development.

网络药理学、分子对接及动物实验探讨痰热清注射液治疗急性呼吸窘迫综合征的机制
目的:采用网络药理学、分子对接、动物实验等方法,探讨痰热清注射液(TRQI)治疗急性呼吸窘迫综合征(ARDS)的有效成分及其作用机制。方法:采用TCMSP和瑞士靶标预测数据库进行有效成分靶标鉴定。与ARDS相关的靶标从GeneCards数据库、Mala卡数据库和Open targets Platform中获取。构建蛋白-蛋白相互作用网络(PPI),对核心靶点进行基因本体(GO)功能标注和京都基因与基因组百科全书(KEGG)途径富集分析。最后,通过分子对接技术和脂多糖诱导的小鼠急性肺损伤模型验证了实验结果。结果:网络药理学结果显示,TRQI治疗ARDS的有效成分为黄芩苷、鹅去氧胆酸、oroxylin-A和熊去氧胆酸,核心靶点为TP53、ESR1、AKT1、JUN和SRC。KEGG分析显示181条信号通路,主要包括IL-17信号通路、内分泌抵抗、脂质代谢和动脉粥样硬化。分子对接结果显示,TRQI中的黄芩苷、鹅去氧胆酸、oroxylin-A和熊去氧胆酸对TP53、ESR1和SRC的亲和力最强。动物实验结果表明,TRQI对炎症因子TNF-α、IL-1β、IL-6具有显著的抑制作用,可有效减轻ARDS对肺组织的病理损伤。结论:TRQI可能通过多靶点、多途径发挥其治疗ARDS的作用,为其临床应用及进一步开发提供了研究基础。
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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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