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芍药苷通过调节ESR1通路改善中风:基于网络方法的数据挖掘与验证

Paeoniflorin Improves Stroke by Modulating the ESR1 Pathway: Data Mining and Validation Based on Network Approaches.

作者信息

Sun Zhenshan, Peng Junjie, Chu Jiangbangrui, Wang Zhengyi, Hu Kefan, Feng Zhanpeng, Zhou Mingfeng, Wang Xingqin, Qi Songtao, Zhang Zhu, Yung Ken Kin Lam

机构信息

Department of Biology, Faculty of Science, Hong Kong Baptist University, Hong Kong SAR 999077, China.

Golden Meditech Center for Neuroregeneration Sciences, Hong Kong Baptist University, Hong Kong SAR 999077, China.

出版信息

Pharmaceuticals (Basel). 2025 Jun 20;18(7):933. doi: 10.3390/ph18070933.

Abstract

Traditional Chinese herbs have a unique therapeutic effect on stroke and numerous successful clinical cases. However, these clinical cases are highly dispersed, creating challenges for translational research. This study employs a new paradigm to identify treatment patterns and the active compound interactions contained within these clinical cases, with experimental validation after target screening. Stroke-related targets were identified through GEO, DisGeNET, and Genecards. Active ingredients were extracted from BATMAN-TCM 2.0. All herbs and diseases were confirmed by the Pharmacopoeia of the People's Republic of China (2020 edition) and Medical Subject Heading (MeSH). All networks in this study were constructed by Cytoscape, and data analysis was done by Python. All formulations and herbs were retrieved from the literature review. For the molecular docking process, Autodock was applied as the docking platform, and all the protein structures were downloaded from PDB. For experimental validation after target screening, HT22 cells were incubated with glucose-free DMEM and placed in an anaerobic chamber for 2 h. Subsequently, HT22 cells were reoxygenated for 24 h. Estrogen Receptor 1 (ESR1) protein levels were measured in vitro. seven materials, including Angelicae Sinensis Radix, Pheretima, Chuanxiong Rhizoma, Persicae Semen, Astragali Radix, Carthami Flos, and Radix Paeoniae Rubra, were identified as the core herbs for the treatment of stroke. The targets of the stroke mechanism were screened, and the herbs-compound-target network was constructed. Among them, paeoniflorin (PF) was identified as the core active compound, and its interaction with ESR1 was verified by molecular docking as the key interaction for the treatment of stroke. In vitro experiments showed that PF inhibited cell apoptosis under hypoxia by increasing the expression of ESR1 compared with the oxygen-glucose deprivation-reperfusion (OGD/R) model group. Western showed that PF (100 μM, 200 μM) can significantly increase the decreased ESR1 protein level caused by the OGD/R model. seven key herbs were screened. Further bioinformatics and network pharmacology studies suggested that PF is expected to become a new active compound for the treatment of stroke. In vitro validation further demonstrated that PF enhanced neuronal survival and ESR1 expression under ischemic conditions, supporting its therapeutic candidacy.

摘要

中药对中风具有独特的治疗效果且有众多成功的临床案例。然而,这些临床案例高度分散,给转化研究带来了挑战。本研究采用一种新的范式来识别这些临床案例中包含的治疗模式和活性化合物相互作用,并在靶点筛选后进行实验验证。通过基因表达综合数据库(GEO)、疾病基因数据库(DisGeNET)和基因卡片(Genecards)确定与中风相关的靶点。从中药系统药理学数据库与分析平台(BATMAN-TCM 2.0)中提取活性成分。所有草药和疾病均经《中华人民共和国药典》(2020年版)和医学主题词表(MeSH)确认。本研究中的所有网络均由Cytoscape构建,数据分析由Python完成。所有方剂和草药均从文献综述中检索。对于分子对接过程,应用Autodock作为对接平台,所有蛋白质结构均从蛋白质数据银行(PDB)下载。为了在靶点筛选后进行实验验证,将HT22细胞与无糖杜氏改良 Eagle培养基(DMEM)一起孵育,并置于厌氧箱中2小时。随后,将HT22细胞复氧24小时。在体外测量雌激素受体1(ESR1)蛋白水平。当归、地龙、川芎、桃仁、黄芪、红花和赤芍七种药材被确定为治疗中风的核心草药。筛选中风机制的靶点,并构建草药-化合物-靶点网络。其中芍药苷(PF)被确定为核心活性化合物,通过分子对接验证其与ESR1的相互作用是治疗中风的关键相互作用。体外实验表明,与氧糖剥夺-再灌注(OGD/R)模型组相比,PF通过增加ESR1的表达抑制缺氧条件下的细胞凋亡。蛋白质免疫印迹法显示,PF(100μM、200μM)可显著提高OGD/R模型导致的ESR1蛋白水平降低。筛选出七种关键草药。进一步的生物信息学和网络药理学研究表明,PF有望成为一种治疗中风的新型活性化合物。体外验证进一步证明,PF在缺血条件下可增强神经元存活和ESR1表达,支持其作为治疗药物的候选资格。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/476f/12299786/1f5ac0eff92d/pharmaceuticals-18-00933-g001.jpg

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