{"title":"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","authors":"Liang Wang, Ganqun Lu, Tianyu Cheng, Shuangquan Wen, Wenxiang Ma, Yixuan Li","doi":"10.2174/0113862073331156241029074305","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>TRQI may exert its therapeutic effects on ARDS through multiple targets and pathways, providing a research basis for its clinical application and further development.</p>","PeriodicalId":10491,"journal":{"name":"Combinatorial chemistry & high throughput screening","volume":" ","pages":""},"PeriodicalIF":1.6000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Exploration of the Mechanism of Tanre Qing Injection in Treating Acute Respiratory Distress Syndrome through Network Pharmacology, Molecular Docking, and Animal Experiments.\",\"authors\":\"Liang Wang, Ganqun Lu, Tianyu Cheng, Shuangquan Wen, Wenxiang Ma, Yixuan Li\",\"doi\":\"10.2174/0113862073331156241029074305\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusion: </strong>TRQI may exert its therapeutic effects on ARDS through multiple targets and pathways, providing a research basis for its clinical application and further development.</p>\",\"PeriodicalId\":10491,\"journal\":{\"name\":\"Combinatorial chemistry & high throughput screening\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-01-07\",\"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/10.2174/0113862073331156241029074305\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Combinatorial chemistry & high throughput screening","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/0113862073331156241029074305","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Exploration of the Mechanism of Tanre Qing Injection in Treating Acute Respiratory Distress Syndrome through Network Pharmacology, Molecular Docking, and Animal Experiments.
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.
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.