Study on the mechanism of Cortex Lycii on lung cancer based on network pharmacology combined with experimental validation

小桶 肺癌 皮质(解剖学) 免疫印迹 癌症 A549电池 癌症研究 PI3K/AKT/mTOR通路 癌细胞 生物 药理学 医学 病理 神经科学 细胞生物学 信号转导 基因表达 生物化学 内科学 基因 转录组
作者
Zhenhui Guo,Heng Yin,Tong Wu,Shaofeng Wu,Lingyun Liu,Lei Zhang,Yanli He,Ren Zhang,Na Liu
出处
期刊:Journal of Ethnopharmacology [Elsevier]
卷期号:293: 115280-115280 被引量:5
标识
DOI:10.1016/j.jep.2022.115280
摘要

Xie Bai San is a Chinese medicine prescription that has been used to treat lung cancer in China for a long time. It has been proven to alleviate the symptoms and extend the survival time of lung cancer patients. Xie Bai San comprises Cortex Lycii, Cortex Mori, and Radix Glycyrrhizae Preparata. The effects and mechanisms of Cortex Mori and Glycyrrhizae on lung cancer have been reported, whereas the underlying mechanism of Cortex Lycii remains unknown.Network pharmacology was used to explore the unknown mechanisms underlying the effect of Cortex Lycii on lung cancer. Molecular docking was used to predict the binding of a compound to the protein. The fingerprint of Cortex Lycii was obtained by HPLC. Cell counting Kit-8 assay was used to determine the appropriate concentration of Cortex Lycii extract for human lung adenocarcinoma cells, A549 and H1299. Wound healing assay and Matrigel invasion assay were used to detect the influence of Cortex Lycii extract on the migration and invasion ability of A549 and H1299. The protein expression level was detected by western blot and immunohistochemical staining.Using network pharmacology, 38 components of Cortex Lycii and 79 possible lung cancer-related target genes of Cortex Lycii were obtained. The targets were assigned to 35 Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways and the PI3K-AKT signaling pathway contained the most targets and had the second-lowest P-value. The molecular docking showed the components of Cortex Lycii bound to HSP90AB1. Among them, 6 components bound to HSP90AB1 in which HSP90AB1 binds to and phosphorylates AKT. The functional experiments showed that Cortex Lycii suppressed the migration and invasion of human lung cancer cells in a dose-dependent manner. Cortex Lycii up-regulated E-Cadherin and down-regulated N-Cadherin, Vimentin, and MMP2. Furthermore, Cortex Lycii made no change in the total AKT and mTOR protein levels, but caused the down-regulation of p-AKT and p-mTOR in human lung cancer cells, which was reversed by Terazosin, an agonist of HSP90. Moreover, acacetin and apigenin, two components of Cortex Lycii, reduced the protein level of p-AKT and p-mTOR, and the reduction was also inhibited by Terazosin.Cortex Lycii suppressed epithelial-mesenchymal transition (EMT) in lung cancer cells through the PI3K-AKT-mTOR signaling pathway, possibly by targeting HSP90AB1 and inhibiting HSP90AB1-AKT binding.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
情怀应助一朵小鲜花儿采纳,获得10
2秒前
海鲜汤完成签到 ,获得积分10
2秒前
3秒前
8秒前
科研通AI5应助大力的无声采纳,获得10
8秒前
bkagyin应助大力的无声采纳,获得10
8秒前
9秒前
9秒前
9秒前
CodeCraft应助大力的无声采纳,获得10
9秒前
丘比特应助大力的无声采纳,获得10
9秒前
乐乐应助大力的无声采纳,获得10
9秒前
NexusExplorer应助大力的无声采纳,获得10
9秒前
在水一方应助大力的无声采纳,获得10
9秒前
CipherSage应助大力的无声采纳,获得10
9秒前
z7777777完成签到,获得积分10
9秒前
了0完成签到 ,获得积分10
9秒前
寒冷的复天完成签到,获得积分10
10秒前
11秒前
风筝鱼完成签到 ,获得积分10
11秒前
满意冷荷发布了新的文献求助10
12秒前
12秒前
cjjwei完成签到 ,获得积分10
12秒前
CipherSage应助Fanny采纳,获得20
13秒前
科研通AI2S应助小白果果采纳,获得10
13秒前
14秒前
shyの煜完成签到 ,获得积分10
14秒前
16秒前
刘佳佳完成签到 ,获得积分10
17秒前
兴奋觅海完成签到,获得积分10
18秒前
18秒前
cytheria完成签到 ,获得积分10
19秒前
诸笑白发布了新的文献求助10
20秒前
一生所爱完成签到,获得积分10
20秒前
Z1070741749完成签到,获得积分10
20秒前
sad发布了新的文献求助10
21秒前
22秒前
Z1070741749发布了新的文献求助10
23秒前
xiangxiang发布了新的文献求助10
24秒前
28秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
Luis Lacasa - Sobre esto y aquello 700
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3528035
求助须知:如何正确求助?哪些是违规求助? 3108306
关于积分的说明 9288252
捐赠科研通 2805909
什么是DOI,文献DOI怎么找? 1540220
邀请新用户注册赠送积分活动 716950
科研通“疑难数据库(出版商)”最低求助积分说明 709851