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Exploring You-gui Pill for the Treatment of Diabetic Erectile Dysfunction: Data Mining Analysis, Network Pharmacology and Experiments In Vitro

系统药理学 药理学 活性成分 勃起功能障碍 计算生物学 作用机理 体外 药品 化学 医学 生物 生物化学 内科学
作者
Jiaqi Chen,Yanan Gao,Yanqiu Zhang,Yue Sun,Yue Jiang,Yong Yang,Mingxing Wang
出处
期刊:Combinatorial Chemistry & High Throughput Screening [Bentham Science Publishers]
卷期号:28
标识
DOI:10.2174/0113862073329189241014102457
摘要

Introduction: The You-gui pill (YGP) is a classical compound used for treating antidiabetic erectile dysfunction (DMED). However, the specific active ingredients responsible for its effects on DMED and their mechanisms remain unclear. Methods: In this paper, we used data mining techniques to analyze high-frequency herbs and herb combinations used in Chinese medicine for the treatment of DMED based on existing literature. Using network pharmacology to study the active components and mechanism of action of YGP against DMED, molecular docking was used to analyze the interactions of the active components with major structural proteins, nonstructural proteins, and mutants. Also, the therapeutic effect of YGP on hyperglycemic modelling and its underlying mechanisms were experimentally validated in CCEC cells by analyzing the expression of its relevant target mRNAs. Results: Network pharmacological analysis identified the three core components of YGP as quercetin, kaempferol, and β-sitosterol, and constructed a PPI network map of common targets of YGP and DMED, which included HIF-1α, ALB, Bcl-2, INS, IL-1β, IL-6, TNF-α, CASP3, and TP53. Combined with molecular docking results, these targets had a strong binding affinity between them and the active ingredient compounds, with the highest affinity for HIF-1α and TNF-α. During the in vitro cellular assay validation, the HIF-1α, ALB, Bcl-2, TNF-α, and IL-6 mRNA in CCECs cells showed positive regulation after YGP intervention. Conclusion: The combination of "data mining - network pharmacology - molecular docking - experimental validation" provides a powerful methodological basis for the study of the main active components and mechanism of action of YGP against DMED, as well as the development and application of the drug. conclusion: The combination of "data mining - network pharmacology - molecular docking - experimental validation" provides a powerful methodological basis for the study of the main active components and mechanism of action of YGP against DMED, as well as the development and application of the drug.
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