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 BV]
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.

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
2秒前
英俊的铭应助玖_9采纳,获得10
2秒前
陶醉发箍完成签到 ,获得积分10
2秒前
kaka发布了新的文献求助10
3秒前
南风南下完成签到 ,获得积分10
3秒前
3秒前
3秒前
笔墨留香发布了新的文献求助10
6秒前
清爽盼春发布了新的文献求助10
9秒前
思源应助yungu采纳,获得10
9秒前
Azure完成签到 ,获得积分10
10秒前
小超完成签到,获得积分10
11秒前
牛牛发布了新的文献求助10
18秒前
哈哈哈完成签到,获得积分10
20秒前
24秒前
25秒前
25秒前
科研通AI6.3应助filili采纳,获得10
27秒前
28秒前
bzh456发布了新的文献求助10
29秒前
Roy发布了新的文献求助10
30秒前
可爱的函函应助aaac采纳,获得10
30秒前
31秒前
rongxue完成签到,获得积分10
33秒前
无私夏菡发布了新的文献求助10
34秒前
Ava应助甄姬唔恨赢采纳,获得10
35秒前
36秒前
joleisalau发布了新的文献求助20
37秒前
40秒前
ding应助Roy采纳,获得10
40秒前
冷酷保温杯完成签到,获得积分10
43秒前
43秒前
wy.he应助爱撒娇的怜珊采纳,获得10
43秒前
43秒前
科研通AI6.4应助ARNAMO采纳,获得10
44秒前
45秒前
小熊熊完成签到,获得积分0
45秒前
Maeth发布了新的文献求助10
46秒前
学术交流高完成签到 ,获得积分10
47秒前
方科完成签到,获得积分10
47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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Mass participant sport event brand associations: an analysis of two event categories 500
Photodetectors: From Ultraviolet to Infrared 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 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 6354412
求助须知:如何正确求助?哪些是违规求助? 8169400
关于积分的说明 17197024
捐赠科研通 5410411
什么是DOI,文献DOI怎么找? 2863984
邀请新用户注册赠送积分活动 1841411
关于科研通互助平台的介绍 1689964