亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Discovery, structural optimization, and anti-tumor bioactivity evaluations of betulinic acid derivatives as a new type of RORγ antagonists

白桦酸 化学 药效团 对接(动物) 癌细胞 孤儿受体 癌症 维甲酸 蛋白激酶B 药理学 铅化合物 生物化学 细胞凋亡 癌症研究 立体化学 转录因子 内科学 生物 体外 医学 护理部 基因 遗传学
作者
Lianghe Mei,Lansong Xu,Sanan Wu,Ya‐Fang Wang,Chao Xu,Lin Wang,Xingyu Zhang,Xingyu Zhang,Chengcheng Yu,Hualiang Jiang,Xianglei Zhang,Xianglei Zhang,Fang Bai,Chengying Xie
出处
期刊:European journal of medicinal chemistry [Elsevier BV]
卷期号:257: 115472-115472 被引量:6
标识
DOI:10.1016/j.ejmech.2023.115472
摘要

Betulinic acid (BA) is a natural pentacyclic triterpenoid that has a wide range of biological and pharmacological effects. Here, computational methods such as pharmacophore screening and reverse docking were used to predict the potential target for BA. Retinoic acid receptor-related orphan receptor gamma (RORγ) was confirmed as its target by several molecular assays as well as crystal complex structure determination. RORγ has been the focus of metabolic regulation, but its potential role in cancer treatment has only recently come to the fore. In this study, rationale optimization of BA was performed and several new derivatives were generated. Among them, the compound 22 showed stronger binding affinity with RORγ (KD = 180 nM), good anti-proliferative activity against cancer cell lines, and potent anti-tumor efficacy with a TGI value of 71.6% (at a dose of 15 mg/kg) in the HPAF-II pancreatic cancer xenograft model. Further RNA-seq analysis and cellular validation experiments supported that RORγ antagonism was closely related to the antitumor activity of BA and 22, resulting in suppression of the RAS/MAPK and AKT/mTORC1 pathway and inducing caspase-dependent apoptosis in pancreatic cancer cells. RORγ was highly expressed in cancer cells and tissues and positively correlated with the poor prognosis of cancer patients. These results suggest that BA derivatives are potential RORγ antagonists worthy of further exploration.
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
12秒前
18秒前
无极微光应助TYY采纳,获得20
19秒前
科研通AI6.2应助Su采纳,获得10
20秒前
attention完成签到,获得积分10
28秒前
背后的山柏完成签到,获得积分10
39秒前
42秒前
42秒前
xi发布了新的文献求助10
45秒前
OsamaKareem应助Crw__采纳,获得10
45秒前
罗洁发布了新的文献求助10
47秒前
Lin完成签到 ,获得积分10
47秒前
开朗大雁发布了新的文献求助20
52秒前
zqq完成签到,获得积分0
1分钟前
靓丽的山蝶完成签到 ,获得积分10
1分钟前
香蕉觅云应助hanj采纳,获得10
1分钟前
1分钟前
wanci应助科研通管家采纳,获得10
1分钟前
1分钟前
1分钟前
y2k完成签到,获得积分10
1分钟前
临子完成签到,获得积分10
1分钟前
1分钟前
两只棚猫发布了新的文献求助10
1分钟前
hanj发布了新的文献求助10
1分钟前
风中颖应助qcy72采纳,获得10
1分钟前
1分钟前
OsamaKareem应助Prof.Z采纳,获得10
1分钟前
1分钟前
SY发布了新的文献求助10
1分钟前
2分钟前
两只棚猫完成签到,获得积分10
2分钟前
Su发布了新的文献求助10
2分钟前
2分钟前
LHC888发布了新的文献求助10
2分钟前
2分钟前
聪明的冥茗完成签到 ,获得积分10
2分钟前
丘比特应助Prof.Z采纳,获得10
2分钟前
蛮21发布了新的文献求助10
2分钟前
LHC888完成签到,获得积分10
2分钟前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6471930
求助须知:如何正确求助?哪些是违规求助? 8275933
关于积分的说明 17646185
捐赠科研通 5550704
什么是DOI,文献DOI怎么找? 2909374
邀请新用户注册赠送积分活动 1886159
关于科研通互助平台的介绍 1737057