Multi-target mechanisms against coronaviruses of constituents from Chinese Dagang Tea revealed by experimental and docking studies

对接(动物) 传统医学 2019年冠状病毒病(COVID-19) 2019-20冠状病毒爆发 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 生物 化学 计算生物学 医学 病毒学 传染病(医学专业) 护理部 疾病 病理 爆发
作者
Liyun Zhao,Xu-Bing Qin,Tingting Lin,Fuda Xie,Liyuan Yao,Yulin Li,Binhong Xiong,Zhifang Xu,Yongchang Ye,Hongfeng Chen,Sheng‐Xiang Qiu
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:297: 115528-115528 被引量:8
标识
DOI:10.1016/j.jep.2022.115528
摘要

The leaves of Eurya chinensis(Chinese Dagang Tea)have been consumed as herbal tea for centuries in Guangdong, China, and have also been used to prevent influenza and treat colds and fevers in traditional Chinese medicine. However, there are no reports on the chemical profile and efficacy of its leaves for the treatment of fever and viral infections.The chemical constituents of Eurya chinensis leaves were isolated and identified by phytochemical study and spectroscopic data, E. chinensis extracts and compounds were evaluated for their antiviral activities by cytopathic effect (CPE) reduction and antibody-based EC50 assay. The antiviral effect of the main component was confirmed by immunofluorescence and transmission electron microscopy. Virtual screening and docking enzyme inhibition experiments were performed to analyze the anti-coronavirus mechanisms of the compounds from E. chinensis leaves.In this study, we found for the first time that E. chinensis leaf extract exhibited inhibitory effects against coronaviruses HCoV-OC43 in vitro. Among 23 monomer compounds isolated from E. chinensis leaf extract, the triterpenoids (betulinic acid, α-amyrin) and the flavonoids (naringenin, eriodictyol and quercetin) showed marked antiviral activity. Microscopic optical analyses further demonstrated that betulinic acid can remove virus particles from HCoV-OC43 infected cells. Virtual screening and docking analysis towards the coronavirus in vogue revealed that betulinic acid was able to bind well to PLpro and Nsp14N7-MTase, and that the flavonoids prefer to bind with PLpro, Nsp3MES, NspP14N7-MTase, Nsp16GTA, and Nsp16SAM. The enzyme inhibition experiments demonstrated that betulinic acid (1) exhibited significant inhibition of PLpro and N7-MTase activity of SARS-CoV-2.This study proposes E. chinensis and its triterpenoids and flavonoids as promising potential treatments for coronaviruses.

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
ln发布了新的文献求助10
刚刚
刚刚
qzh006完成签到,获得积分10
1秒前
yyyyy发布了新的文献求助100
1秒前
1秒前
珊啊是珊珊啊完成签到,获得积分10
2秒前
科研通AI6.2的应助被yinghuochong采纳,获得10
2秒前
共享精神的应助被AAA采纳,获得10
2秒前
cx完成签到,获得积分10
2秒前
十二发布了新的文献求助10
2秒前
蓝天发布了新的文献求助10
3秒前
高小姐发布了新的文献求助10
3秒前
vivichan7发布了新的文献求助10
3秒前
晴天完成签到,获得积分20
3秒前
3秒前
nnnice完成签到 ,获得积分10
3秒前
齐欢发布了新的文献求助60
4秒前
西班牙拿铁完成签到 ,获得积分20
4秒前
852的应助被嘻嘻嘻采纳,获得10
4秒前
无花果的应助被陈成采纳,获得10
5秒前
6秒前
传奇3的应助被Hikx采纳,获得10
6秒前
7秒前
7秒前
8秒前
可爱的函函的应助被凶狠的璎采纳,获得10
9秒前
无极微光的应助被凶狠的璎采纳,获得20
9秒前
9秒前
9秒前
健忘的网络完成签到,获得积分10
10秒前
SciGPT的应助被众里寻糖采纳,获得10
10秒前
mmmm的应助被yxyh采纳,获得10
10秒前
酷波er的应助被紧张的败采纳,获得10
11秒前
11秒前
AAA发布了新的文献求助30
11秒前
asd完成签到,获得积分10
11秒前
11秒前
晴天发布了新的文献求助10
12秒前
Jasper的应助被mumu采纳,获得10
12秒前
zyt发布了新的文献求助10
12秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
From Scaling and Perturbation to Stability 5000
Les Mantodea De Guyane 2000
Energie-Contracting 1500
Stochastic Models in Operations Research,Vol. 2 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8031425
求助须知:如何正确求助?哪些是违规求助? 9470224
关于积分的说明 21242387
捐赠科研通 7601020
什么是DOI,文献DOI怎么找? 3388719
关于科研通互助平台的介绍 2521024
邀请新用户注册赠送积分活动 2425677