Deciphering the pharmacological mechanisms of Shenlingbaizhu formula in antibiotic-associated diarrhea treatment: Network pharmacological analysis and experimental validation

小桶 计算生物学 交互网络 体内 基因本体论 基因 PI3K/AKT/mTOR通路 药理学 化学 生物信息学 信号转导 生物化学 生物 基因表达 遗传学
作者
Yan Chen,Xiangmei Meng,Haocheng Zheng,Yixiao Gu,Wanhong Zhu,Sici Wang,Jie Lin,Tao Li,Mengting Liao,Yuhang Li,Shuzhen Guo,Xia Ding
出处
期刊:Journal of Ethnopharmacology [Elsevier BV]
卷期号:329: 118129-118129 被引量:6
标识
DOI:10.1016/j.jep.2024.118129
摘要

Shenlingbaizhu (SLBZ) formula, a classical traditional Chinese medicinal (TCM) formula, has been widely used for treating antibiotic-associated diarrhea (AAD). However, the underlying pharmacological mechanisms have not yet been investigated thoroughly. To explore the remission mechanism of SLBZ in the treatment of AAD, we conducted network pharmacological analysis and experimental validation in vitro and in vivo. In this study, the main compounds of SLBZ were identified by ultra-high-performance liquid chromatography-mass spectroscopy (UHPLC-MS) and online databases. The targets of the active components and AAD-related targets were predicted by network pharmacology, and the potential targets of SLBZ against AAD were obtained. Then the core targets were recognized after Protein-Protein Interaction (PPI) analysis. Based on these, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) signaling pathway analyses were conducted, and the key pathway was screened. Subsequently, molecular docking was performed using Auto Dock Vina to find the key components that played a crucial role in that pathway. Molecular dynamics simulation was performed by Gromacs software to detect the binding mode. Finally, the results were confirmed by in vitro and in vivo experiments. A total of 66 active ingredients of SLBZ were detected by UHPLC-MS, and 128 active ingredients were screened out by network pharmacological analysis. Additionally, 935 drug targets and 1686 AAD-related targets were obtained. Seventy-eight intersected genes were selected as potential therapeutic targets and 19 genes were excavated as core targets. Enrichment analysis revealed PI3K-AKT signaling pathway was the key pathway in SLBZ against AAD. Topological analysis further revealed that JAK2, MTOR, TLR4, and SYK were the key targets affected by SLBZ on the PI3K-AKT pathway, and 52 components of SLBZ were associated with them. Molecular docking and dynamics simulation revealed strong binding affinities between MTOR and diosgenin. Subsequently, after SLBZ treatment, the expression levels of JAK2, MTOR, TLR4, and SYK were found significantly upregulated in the AAD model rats (p < 0.05). The cell experiment further validated the good binding ability between MTOR and diosgenin. We demonstrate that the therapeutic effect of SLBZ on AAD was achieved in part by inhibiting the PI3K-AKT pathway.
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
红宝完成签到,获得积分10
刚刚
bocheng发布了新的文献求助10
刚刚
刚刚
脆弱的刺猬应助目眩采纳,获得30
刚刚
Terry2117完成签到,获得积分10
刚刚
1秒前
影唯发布了新的文献求助20
2秒前
zzy加油发布了新的文献求助10
2秒前
caicai发布了新的文献求助10
3秒前
bocheng发布了新的文献求助10
3秒前
bocheng发布了新的文献求助10
3秒前
bocheng发布了新的文献求助10
3秒前
bocheng发布了新的文献求助10
3秒前
sxy完成签到,获得积分10
3秒前
Terry2117发布了新的文献求助10
3秒前
pfffff发布了新的文献求助20
3秒前
4秒前
liZZZZZ完成签到,获得积分10
4秒前
小刘不怕难完成签到,获得积分10
4秒前
zmm完成签到,获得积分10
5秒前
5秒前
丘比特应助郑郑采纳,获得10
5秒前
少年加油完成签到,获得积分20
5秒前
归尘发布了新的文献求助10
5秒前
问之发布了新的文献求助10
5秒前
5秒前
6秒前
CanLiu完成签到,获得积分10
6秒前
狂野月亮发布了新的文献求助10
7秒前
不安的采蓝完成签到,获得积分10
7秒前
小丁完成签到 ,获得积分10
7秒前
7秒前
9秒前
cardioJA发布了新的文献求助10
9秒前
隐形中道发布了新的文献求助10
9秒前
33完成签到,获得积分10
9秒前
10秒前
胡萝卜完成签到,获得积分10
10秒前
11秒前
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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
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 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7768258
求助须知:如何正确求助?哪些是违规求助? 9311565
关于积分的说明 20324357
捐赠科研通 7353280
什么是DOI,文献DOI怎么找? 3315654
关于科研通互助平台的介绍 2464810
邀请新用户注册赠送积分活动 2330309