Monitoring the fluctuation of hydrogen peroxide with a near-infrared fluorescent probe for the diagnosis and management of kidney injury

过氧化氢 荧光 红外线的 化学 光化学 医学 生物化学 内科学 光学 物理
作者
Mu-xuan Wang,Xu Guo,Zhi‐Xin Liao,Shutao Sun,Mohamed A. Farag,Qidong Ren,Peihai Li,Ningyang Li,Jinyue Sun,Chao Liu
出处
期刊:Journal of Hazardous Materials [Elsevier BV]
卷期号:476: 134949-134949 被引量:5
标识
DOI:10.1016/j.jhazmat.2024.134949
摘要

Kidney injury has become an increasing concern for patients because of environmental hazards and physiological factors. However, the early diagnosis of kidney injury remains challenging. Studies have shown that oxidative stress was closely related to the occurrence and development of kidney injury, in which abnormal hydrogen peroxide (H2O2) production was a common characteristic. Consequently, monitoring H2O2 level changes is essential for the diagnosis and management of kidney injury. Herein, based on fluorescence imaging advantages, a near-infrared fluorescent probe DHX-1 was designed to detect H2O2. DHX-1 showed high sensitivity and selectivity toward H2O2, with a fast response time and excellent imaging capacity for H2O2 in living cells and zebrafish. DHX-1 could detect H2O2 in pesticide-induced HK-2 cells, revealing the main cause of kidney injury caused by pesticides. Moreover, we performed fluorescence imaging, which confirmed H2O2 fluctuation in kidney injury caused by uric acid. In addition, DHX-1 achieved rapid screening of active compounds to ameliorate pesticide-induced kidney injury. This study presents a tool and strategy for monitoring H2O2 levels that could be employed for the early diagnosis and effective management of kidney injury.
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
f糕糕完成签到,获得积分20
刚刚
刚刚
1秒前
现代术士完成签到,获得积分10
1秒前
1秒前
1秒前
2秒前
慕青应助531采纳,获得30
2秒前
嘉佳伽完成签到,获得积分10
2秒前
情怀应助yesterdayffy采纳,获得10
3秒前
葳蕤发布了新的文献求助10
3秒前
3秒前
追寻访卉发布了新的文献求助10
4秒前
YYY完成签到,获得积分10
4秒前
4秒前
WX发布了新的文献求助10
4秒前
drfwjuikesv发布了新的文献求助10
5秒前
5秒前
缥缈谷冬完成签到,获得积分10
5秒前
2030要毕业发布了新的文献求助10
5秒前
潇洒访波完成签到 ,获得积分10
6秒前
yoy完成签到,获得积分10
6秒前
zyj发布了新的文献求助10
7秒前
猕猴桃完成签到 ,获得积分10
7秒前
CodeCraft应助倩倩采纳,获得10
8秒前
俊逸书琴完成签到 ,获得积分10
8秒前
冉瑞平发布了新的文献求助10
8秒前
9秒前
柒夏应助Anoxia采纳,获得10
9秒前
lanxinge完成签到,获得积分10
9秒前
9秒前
yaosichao完成签到,获得积分10
10秒前
苹果听枫完成签到,获得积分10
10秒前
10秒前
10秒前
10秒前
CLX完成签到,获得积分10
11秒前
Jerry完成签到,获得积分10
12秒前
靓丽的如冬完成签到,获得积分10
12秒前
小缪发布了新的文献求助10
13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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 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 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 7621327
求助须知:如何正确求助?哪些是违规求助? 9196415
关于积分的说明 19712670
捐赠科研通 7192793
什么是DOI,文献DOI怎么找? 3272799
关于科研通互助平台的介绍 2435217
邀请新用户注册赠送积分活动 2267913