Metformin attenuates PM 2.5 -induced oxidative stress by inhibiting the AhR/CYP1A1 pathway in proximal renal tubular epithelial cells

氧化应激 二甲双胍 化学 药理学 内分泌学 氧化磷酸化 细胞生物学 内科学 医学 生物 生物化学 糖尿病
作者
Jing Cui,Weilin Chen,Dongdong Zhang,Mengqiu Lu,Zhijun Huang,Bin Yi
出处
期刊:Toxicology Mechanisms and Methods [Taylor & Francis]
卷期号:34 (9): 1022-1034 被引量:2
标识
DOI:10.1080/15376516.2024.2378296
摘要

The harmful effects of PM2.5 on human health, including an increased risk of chronic kidney disease (CKD), have raised a lot of attention, but the underlying mechanisms are unclear. We used the Shanghai Meteorological and Environmental Animal Exposure System (Shanghai-METAS) to simulate the inhalation of PM2.5 in the real environment and established an animal model by exposing C57BL/6 mice to filtered air (FA) and Particulate Matter (PM2.5) for 8 weeks. PM2.5 impaired the renal function of the mice, and the renal tubules underwent destructive changes. Analysis of NHANES data showed a correlation between reduced kidney function and higher blood levels of PM2.5 components, polychlorinated biphenyls (PCBs) and dioxins, which are Aryl hydrocarbon Receptor (AhR) ligands. PM2.5 exposure induced higher levels of AhR and CYP1A1 and oxidative stress as evidenced by the higher levels of ROS, MDA, and GSSG in kidneys of mice. PM2.5 exposure led to AhR overexpression and nuclear translocation in proximal renal tubular epithelial cells. Inhibition of AhR reduced CYP1A1 expression and PM2.5-increased levels of ROS, MDA and GSSG. Our study suggested metformin can mitigate PM2.5-induced oxidative stress by inhibiting the AhR/CYP1A1 pathway. These findings illuminated the role of AhR/CYP1A1 pathway in PM2.5-induced kidney injury and the protective effect of metformin on PM2.5-induced cellular damage, offering new insights for air pollution-related renal diseases.
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
刚刚
zhuangbaobao发布了新的文献求助10
1秒前
小马甲应助小化化爱学习采纳,获得10
1秒前
1秒前
1秒前
xiaotong完成签到,获得积分10
1秒前
碧蓝雨真完成签到,获得积分10
2秒前
NexusExplorer应助俞安珊采纳,获得10
2秒前
2秒前
苗条的之桃完成签到,获得积分10
2秒前
2秒前
8R60d8应助jesieniu采纳,获得10
2秒前
无极微光应助ZetaGundam采纳,获得20
3秒前
3秒前
3秒前
3秒前
snowdream完成签到,获得积分10
3秒前
彭于晏应助哈哈采纳,获得10
3秒前
yinan完成签到,获得积分10
4秒前
李健的小迷弟应助177采纳,获得10
4秒前
小繁发布了新的文献求助10
4秒前
5秒前
地球发布了新的文献求助10
5秒前
Wuyuan50完成签到 ,获得积分10
6秒前
2332发布了新的文献求助10
6秒前
6秒前
完美如曼发布了新的文献求助10
6秒前
张小闲完成签到 ,获得积分10
6秒前
徐徐完成签到,获得积分10
6秒前
星辰大海应助andre采纳,获得10
7秒前
科研通AI6.3应助忧郁绝音采纳,获得10
7秒前
乔乔乔发布了新的文献求助10
7秒前
8R60d8应助leeheeseung采纳,获得10
7秒前
limecho完成签到,获得积分10
8秒前
8秒前
YYW发布了新的文献求助10
8秒前
哈哈哈发布了新的文献求助10
8秒前
jeremy发布了新的文献求助10
8秒前
9秒前
ewww发布了新的文献求助10
9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
Chemistry and Physics of Carbon Volume 18 800
The Organometallic Chemistry of the Transition Metals 800
The formation of Australian attitudes towards China, 1918-1941 640
Signals, Systems, and Signal Processing 610
全相对论原子结构与含时波包动力学的理论研究--清华大学 500
Elevating Next Generation Genomic Science and Technology using Machine Learning in the Healthcare Industry Applied Machine Learning for IoT and Data Analytics 400
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 6443142
求助须知:如何正确求助?哪些是违规求助? 8257058
关于积分的说明 17585007
捐赠科研通 5501690
什么是DOI,文献DOI怎么找? 2900830
邀请新用户注册赠送积分活动 1877812
关于科研通互助平台的介绍 1717461