Systems pharmacological study illustrates the immune regulation, anti-infection, anti-inflammation, and multi-organ protection mechanism of Qing-Fei-Pai-Du decoction in the treatment of COVID-19

免疫系统 药理学 系统药理学 中医药 炎症 生物 AKT1型 受体 计算生物学 信号转导 生物信息学 医学 免疫学 细胞生物学 生物化学 PI3K/AKT/mTOR通路 药品 替代医学 病理
作者
Jing Zhao,Sai Tian,Lu Dong,Jian Yang,Hua‐Wu Zeng,Feng Zhang,Dong‐Zhu Tu,Guang‐Bo Ge,Yuejuan Zheng,Ting Shi,Xin Xu,Shiyi Zhao,Yili Yang,Weidong Zhang
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:85: 153315-153315 被引量:134
标识
DOI:10.1016/j.phymed.2020.153315
摘要

The traditional Chinese medicine (TCM) formula Qing-Fei-Pai-Du decoction (QFPDD) was the most widely used prescription in China's campaign to contain COVID-19, which has exhibited positive effects. However, the underlying mode of action is largely unknown.A systems pharmacology strategy was proposed to investigate the mechanisms of QFPDD against COVID-19 from molecule, pathway and network levels.The systems pharmacological approach consisted of text mining, target prediction, data integration, network study, bioinformatics analysis, molecular docking, and pharmacological validation. Especially, we proposed a scoring method to measure the confidence of targets identified by prediction and text mining, while a novel scheme was used to identify important targets from 4 aspects.623 high-confidence targets of QFPDD's 12 active compounds were identified, 88 of which were overlapped with genes affected by SARS-CoV-2 infection. These targets were found to be involved in biological processes related with the development of COVID-19, such as pattern recognition receptor signaling, interleukin signaling, cell growth and death, hemostasis, and injuries of the nervous, sensory, circulatory, and digestive systems. Comprehensive network and pathway analysis were used to identify 55 important targets, which regulated 5 functional modules corresponding to QFPDD's effects in immune regulation, anti-infection, anti-inflammation, and multi-organ protection, respectively. Four compounds (baicalin, glycyrrhizic acid, hesperidin, and hyperoside) and 7 targets (AKT1, TNF-α, IL6, PTGS2, HMOX1, IL10, and TP53) were key molecules related to QFPDD's effects. Molecular docking verified that QFPDD's compounds may bind to 6 host proteins that interact with SARS-CoV-2 proteins, further supported the anti-virus effect of QFPDD. At last, in intro experiments validated QFPDD's important effects, including the inhibition of IL6, CCL2, TNF-α, NF-κB, PTGS1/2, CYP1A1, CYP3A4 activity, the up-regulation of IL10 expression, and repressing platelet aggregation.This work illustrated that QFPDD could exhibit immune regulation, anti-infection, anti-inflammation, and multi-organ protection. It may strengthen the understanding of QFPDD and facilitate more application of this formula in the campaign to SARS-CoV-2.
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
科研小叶发布了新的文献求助10
1秒前
Asystasia7发布了新的文献求助10
1秒前
昏睡的蟠桃应助俗丨采纳,获得200
1秒前
2秒前
3秒前
3秒前
白菜豆腐汤应助小赵采纳,获得10
4秒前
搜集达人应助长命百岁采纳,获得10
4秒前
4秒前
AAAA发布了新的文献求助10
4秒前
lemon完成签到,获得积分10
5秒前
汉堡包应助times采纳,获得10
5秒前
5秒前
小小溪发布了新的文献求助10
5秒前
852应助开始觉得好看采纳,获得10
5秒前
ale应助wccc采纳,获得10
5秒前
labor发布了新的文献求助10
6秒前
隐形猫咪发布了新的文献求助10
6秒前
6秒前
赘婿应助虚化采纳,获得10
7秒前
独特靖巧发布了新的文献求助10
7秒前
Haichao.Zhao完成签到,获得积分10
7秒前
7秒前
7秒前
ShiYanYang完成签到,获得积分10
8秒前
Aniu发布了新的文献求助30
8秒前
Planet发布了新的文献求助10
8秒前
菌菌发布了新的文献求助10
8秒前
9秒前
脑洞疼应助vv采纳,获得10
10秒前
10秒前
molihuakai应助cyll采纳,获得10
10秒前
谷粱诗云发布了新的文献求助10
10秒前
yulk发布了新的文献求助10
10秒前
wanci应助cstjx采纳,获得10
11秒前
科研通AI6.2应助Spark采纳,获得10
11秒前
chen发布了新的文献求助10
12秒前
AAAA完成签到,获得积分10
13秒前
13秒前
13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
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
适配Micro-LED色转换的高兼容性量子点负性光刻胶制备与工艺研究 500
Direct and Iterative Linear System Solvers 500
Vander's Renal Physiology第10版 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7308762
求助须知:如何正确求助?哪些是违规求助? 8926174
关于积分的说明 18916893
捐赠科研通 6971132
什么是DOI,文献DOI怎么找? 3212834
关于科研通互助平台的介绍 2381358
邀请新用户注册赠送积分活动 2190616