七龙胶囊抗心肌缺血再灌注损伤机制的网络药理学研究及实验验证。

IF 1.6 4区 医学 Q4 BIOCHEMICAL RESEARCH METHODS Combinatorial chemistry & high throughput screening Pub Date : 2025-01-10 DOI:10.2174/0113862073332431241120044411
Lingxu Li, Jingxue Ye, Jiahui Zhou, Zhihui Wang, Ruoyun Li, Min Wang, Guibo Sun
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引用次数: 0

摘要

七龙胶囊(QC)已在中国临床应用于缺血性脑卒中的治疗。本研究评价QC对心肌缺血再灌注损伤(MIRI)的治疗作用及其可能机制。方法:通过TCMSP、BATMAN-TCM、GeneCards等相关数据库,采用网络药理学方法预测QC抗MIRI的成分和候选靶点。通过基因本体(GO)和京都基因与基因组百科全书(KEGG)途径富集分析预测了潜在的机制,并通过酶联免疫吸附试验(ELISA)和Western blot验证。结果:网络药理学分析表明,QC对MIRI的心脏保护作用与炎症通路有关。我们进一步证实,QC能有效降低hs-CRP、MCP-1等炎症因子水平,抑制TNF-α表达和STAT3磷酸化。结论:本研究为QC在MIRI治疗中的进一步临床应用提供了依据。
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Mechanism of Qilong Capsule against Myocardial Ischemia-Reperfusion Injury Based on Network Pharmacology and Experimental Validation.

Introduction: Qilong capsule (QC) has been used clinically to treat ischemic stroke in China. This study evaluated the therapeutic effects of QC on myocardial ischemia-reperfusion injury (MIRI) and its potential mechanisms.

Method: The components and candidate targets of QC against MIRI were predicted by network pharmacology via relevant databases such as TCMSP, BATMAN-TCM, GeneCards. The potential mechanisms were predicted by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses and verified by enzyme-linked immunosorbent assay (ELISA) and Western blot.

Results: Network pharmacology analysis indicated that the cardioprotective effect of QC against MIRI was associated with inflammatory pathways. We further confirmed that QC effectively decreased the levels of inflammatory factors, including hs-CRP and MCP-1, and suppressed the expression of TNF-α and the phosphorylation of STAT3.

Conclusion: This study provides evidence for further clinical applications of QC for MIRI therapy.

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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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