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网络药理学结合分子对接和实验验证探讨槲皮素抗心房颤动的作用机制。

Mechanisms of Quercetin against atrial fibrillation explored by network pharmacology combined with molecular docking and experimental validation.

机构信息

Department of Cardiovascular Disease, the First Affiliated Hospital of Bengbu Medical College, 287 Chang Huai Road, Bengbu, Anhui, 233004, People's Republic of China.

Department of Psychiatry, Bengbu Medical College, Bengbu, People's Republic of China.

出版信息

Sci Rep. 2022 Jun 13;12(1):9777. doi: 10.1038/s41598-022-13911-w.

Abstract

Atrial fibrillation (AF) is a common atrial arrhythmia for which there is no specific therapeutic drug. Quercetin (Que) has been used to treat cardiovascular diseases such as arrhythmias. In this study, we explored the mechanism of action of Que in AF using network pharmacology and molecular docking. The chemical structure of Que was obtained from Pubchem. TCMSP, Swiss Target Prediction, Drugbank, STITCH, Pharmmapper, CTD, GeneCards, DISGENET and TTD were used to obtain drug component targets and AF-related genes, and extract AF and normal tissue by GEO database differentially expressed genes by GEO database. The top targets were IL6, VEGFA, JUN, MMP9 and EGFR, and Que for AF treatment might involve the role of AGE-RAGE signaling pathway in diabetic complications, MAPK signaling pathway and IL-17 signaling pathway. Molecular docking showed that Que binds strongly to key targets and is differentially expressed in AF. In vivo results showed that Que significantly reduced the duration of AF fibrillation and improved atrial remodeling, reduced p-MAPK protein expression, and inhibited the progression of AF. Combining network pharmacology and molecular docking approaches with in vivo studies advance our understanding of the intensive mechanisms of Quercetin, and provide the targeted basis for clinical Atrial fibrillation treatment.

摘要

心房颤动(AF)是一种常见的房性心律失常,目前尚无特定的治疗药物。槲皮素(Que)已被用于治疗心律失常等心血管疾病。在这项研究中,我们使用网络药理学和分子对接技术探讨了 Que 在 AF 中的作用机制。从 Pubchem 获得 Que 的化学结构。使用 TCMSP、Swiss Target Prediction、Drugbank、STITCH、Pharmmapper、CTD、GeneCards、DISGENET 和 TTD 获得药物成分靶点和 AF 相关基因,并通过 GEO 数据库提取 AF 和正常组织的差异表达基因。得到的 top 靶点有 IL6、VEGFA、JUN、MMP9 和 EGFR,Que 治疗 AF 可能涉及糖尿病并发症的 AGE-RAGE 信号通路、MAPK 信号通路和 IL-17 信号通路。分子对接表明 Que 与关键靶点结合紧密,在 AF 中差异表达。体内结果表明,Que 可显著缩短 AF 纤维颤动的持续时间,改善心房重构,降低 p-MAPK 蛋白表达,并抑制 AF 的进展。将网络药理学和分子对接方法与体内研究相结合,加深了我们对槲皮素的作用机制的理解,为临床 AF 治疗提供了有针对性的基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/70c5/9192746/736775f3dfbe/41598_2022_13911_Fig1_HTML.jpg

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