An integrated network pharmacology and cell metabolomics approach to reveal the role of rhein, a novel PPARα agonist, against renal fibrosis by activating the PPARα–CPT1A axis

代谢物 药理学 β氧化 过氧化物酶体增殖物激活受体 脂质代谢 代谢组学 兴奋剂 化学 生物 受体 生物化学 脂肪酸 生物信息学
作者
Qiming Xiao,Xixi Yu,Xinwei Yu,Shundi Liu,Jianping Jiang,Yu Cheng,Hao Lin,Yuzhen Wang,Xiaoshan Zhang,Xiaoxia Ye,Zheng Xiang
出处
期刊:Phytomedicine [Elsevier BV]
卷期号:102: 154147-154147 被引量:32
标识
DOI:10.1016/j.phymed.2022.154147
摘要

Rhein, an anthraquinone compound, displays extensive antifibrotic effects; however, its potential mechanisms are not fully understood. In this study, we explored the underlying molecular mechanism of action of rhein.An integrated network pharmacology and cell metabolomics approach was developed based on network pharmacology and bioinformatics method, and then successfully applied to speculate the potential targets of rhein and construct a rhein-target-metabolic enzyme-metabolite network. Thereafter, the antifibrotic mechanism of rhein was validated in TGF-β- and oleic acid- induced HK-2 and NRK-52E cells in vitro as well as a unilateral ischemia-reperfusion injury Sprague-Dawley rat model.Based on the construction of the rhein-target-metabolic enzyme-metabolite network, we found that rhein played an antifibrotic role through the PPAR-α-CPT1A-l-palmitoyl-carnitine axis. In vitro experiments demonstrated that rhein effectively activated the expression of PPARα and its downstream proteins (CPT1A and ACOX1) to alleviate lipid accumulation and fibrosis development. In vivo experiments indicated that rhein attenuated renal fibrosis mainly by activating the fatty acid oxidation pathway and improving lipid metabolism.Taken together, our findings reveal that rhein is a novel agonist of PPARα, which contributes to its renoprotection through the regulation of the PPARα-CPT1A axis. Moreover, our study provides a novel insight into an integrated network pharmacology-metabolomics strategy for uncovering the pharmacological mechanisms of drugs from the system perspective.
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
领导范儿应助kklove采纳,获得10
刚刚
在水一方应助LDDD采纳,获得10
刚刚
刚刚
Changed完成签到,获得积分10
刚刚
suntreenew发布了新的文献求助10
刚刚
SunnyJ512完成签到 ,获得积分10
刚刚
斯文败类应助蓝天白云采纳,获得10
1秒前
1秒前
天天快乐应助Cassian采纳,获得10
1秒前
2秒前
Ava应助LHHH采纳,获得10
2秒前
顾金铄完成签到,获得积分10
2秒前
3秒前
科研发布了新的文献求助10
3秒前
乐乐应助火花采纳,获得10
3秒前
look发布了新的文献求助10
4秒前
张文懿发布了新的文献求助10
4秒前
4秒前
molihuakai应助niii采纳,获得10
4秒前
5秒前
Colin发布了新的文献求助10
5秒前
SunnyJ512关注了科研通微信公众号
5秒前
5秒前
神勇的代荷完成签到,获得积分10
6秒前
失约于月光完成签到,获得积分10
6秒前
7秒前
电池大佬发布了新的文献求助10
7秒前
v0id应助啦啦不哭采纳,获得10
7秒前
华仔应助给好评采纳,获得10
7秒前
8秒前
8秒前
Orange应助dimo采纳,获得10
8秒前
星辰大海应助Rita采纳,获得30
8秒前
青云天发布了新的文献求助10
9秒前
灰太狼完成签到,获得积分10
9秒前
9秒前
晨曦完成签到,获得积分10
9秒前
怪僻发布了新的文献求助10
10秒前
黄三思发布了新的文献求助10
10秒前
10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
The anomeric effect 1000
Principles of town planning: translating concepts to applications 1000
1 Peter and Christ's Descent to the Dead in Its Early Christian Reception 700
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 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 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 7731428
求助须知:如何正确求助?哪些是违规求助? 9282569
关于积分的说明 20152451
捐赠科研通 7308831
什么是DOI,文献DOI怎么找? 3303709
关于科研通互助平台的介绍 2456509
邀请新用户注册赠送积分活动 2312394