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!

In silico analysis of the potential mechanism of a preventive Chinese medicine formula on coronavirus disease 2019

小桶 中医药 计算生物学 系统药理学 医学 传统医学 基因表达谱 药理学
作者
Hongyan Wu,Ke Gong,You Qin,Zhiying Yuan,Shuaishuai Xia,Shiying Zhang,Jingjing Yang,Ping Yang,Liang Li,Meng-zhou Xie
出处
期刊:Journal of Ethnopharmacology [Elsevier]
卷期号:275: 114098-114098 被引量:12
标识
DOI:10.1016/j.jep.2021.114098
摘要

With the spread of Coronavirus Disease (2019) (COVID-19), combination with traditional Chinese medicine (TCM) has been widely used as a prevention and therapy strategy in China. Xin guan No.1 (XG-1) prescription is a preventive formula recommended by the Hunan Provincial Administration of TCM to prevent the pandemic of COVID-19. To explore the potential preventive mechanisms of XG-1 against COVID-19 in the combination of network pharmacology approach, single-cell RNA expression profiling analysis, molecular docking and retrospective study. Encyclopedia of Traditional Chinese Medicine (ETCM) database was used to determine the meridian tropism, active components and target genes of XG-1. Gene ontology (GO) analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) functional enrichment analysis were conducted by R Cluster Profiler package (3.14.3). Single cell RNA sequencing (scRNA-seq) data of human lung (GSE122960) was downloaded from Gene Expression Omnibus (GEO) database and analyzed by R Seurat package (3.1.2). Cytoscape (3.7.2) was used to construct the interaction network. The main ingredients in XG-1 were identified by HPLC- Q-TOF- MS and used for molecular docking with COVID-19 3CL hydrolytic enzyme and angiotensin converting enzyme II (ACE2). A retrospective study of 47 close contact participants from Dongtang Community of Hunan Province was conducted to evaluated the preventive effect of XG-1. According to the network pharmacology analysis, XG-1 formula was closely related to lung-, spleen- and stomach-meridians and include a total of 206 active components and 853 target genes. GO and KEGG pathway enrichment revealed that XG-1 mainly regulated cellular amino acid metabolism process and neuroactive ligand-receptors interaction. The scRNA-seq profiling showed that angiotensin converting enzyme 2 (ACE2) was principally expressed in alveolar type 2 epithelial cells (AT2). 153 genes were up-regulated in AT2 cells expressing ACE2 and 12 genes were obtained by intersecting with XG-1 target genes, of which 3 were related to immunity. Five main chemical ingredients were detected in XG-1 sample by HPLC-Q-TOF-MS. The molecular docking showed that Rutin, Liquiritin and Astragaloside Ⅳ had a good affinity with COVID-19 3CL hydrolytic enzyme and ACE2. Compared with participants who didn't take XG-1, preventive treatment with XG-1gradules resulted in a significant lower rate of testing positive for SARS-CoV-2 nucleic acid (P < 0.0001). The present study showed that XG-1 exerts a preventive effect in close contacts against COVID-19. The underlying mechanism may be related to modulate immunity response through multiple components, pathways, and several target genes co-expressed with ACE2. These findings provide preliminary evidences and methodological reference for the potential preventive mechanism of XG-1 against COVID-19.
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
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
刚刚
12秒前
草上飞完成签到 ,获得积分10
25秒前
25秒前
激动的55完成签到 ,获得积分10
31秒前
善良的冷梅完成签到,获得积分10
32秒前
34秒前
39秒前
喵喵完成签到,获得积分10
42秒前
48秒前
48秒前
科研通AI6应助半分甜采纳,获得10
50秒前
喵喵发布了新的文献求助10
53秒前
ding应助哲别采纳,获得10
56秒前
1分钟前
ding应助兴奋的铸海采纳,获得30
1分钟前
1分钟前
HYQ完成签到 ,获得积分10
1分钟前
1分钟前
mingjing完成签到 ,获得积分10
1分钟前
1分钟前
健壮的土豆完成签到 ,获得积分10
2分钟前
2分钟前
2分钟前
Moying发布了新的文献求助10
2分钟前
2分钟前
2分钟前
科研通AI6应助Moying采纳,获得10
2分钟前
半分甜发布了新的文献求助10
2分钟前
2分钟前
山野完成签到 ,获得积分10
2分钟前
量子星尘发布了新的文献求助10
2分钟前
2分钟前
科研小废物完成签到,获得积分10
2分钟前
2分钟前
fanxy发布了新的文献求助30
2分钟前
3分钟前
3分钟前
Kristopher完成签到 ,获得积分10
3分钟前
和光同尘完成签到,获得积分10
3分钟前
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
Introduction to Early Childhood Education 1000
List of 1,091 Public Pension Profiles by Region 921
Aerospace Standards Index - 2025 800
Identifying dimensions of interest to support learning in disengaged students: the MINE project 800
流动的新传统主义与新生代农民工的劳动力再生产模式变迁 500
Historical Dictionary of British Intelligence (2014 / 2nd EDITION!) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 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 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5432242
求助须知:如何正确求助?哪些是违规求助? 4544949
关于积分的说明 14194913
捐赠科研通 4464271
什么是DOI,文献DOI怎么找? 2447039
邀请新用户注册赠送积分活动 1438332
关于科研通互助平台的介绍 1415201