HMSCs exosome-derived miR-199a-5p attenuates sulfur mustard-associated oxidative stress via the CAV1/NRF2 signaling pathway

氧化应激 细胞生物学 间充质干细胞 微泡 信号转导 化学 外体 下调和上调 癌症研究 小RNA 生物 生物化学 基因
作者
Chuchu Gong,Qingqiang Xu,Xinkang Zhang,Guanchao Mao,Zhipeng Pei,Wenqi Meng,Jinfeng Cen,Zhengyan Gu,Jihao Liu,Xiaowen He,Mingxue Sun,Kai Xiao
出处
期刊:Research Square
标识
DOI:10.21203/rs.3.rs-1582715/v1
摘要

Abstract Background: Sulfur mustard (SM) is a blister-producing chemical warfare agent which could lead to a cascade of systemic damage, especially severe acute lung injury. Oxidative stress is considered to be vital processes for the SM toxicity mechanism. We previously proved the therapeutic effect of exosomes derived from bone marrow mesenchymal stromal cells in promoting the repair of alveolar epithelial barrier and inhibiting apoptosis. However, the key functional components in exosomes and the underlying mechanisms have not been fully elaborated. This research shed light on the function of the key components of human umbilical cord mesenchymal stem cell-derived exosomes. Results: We noted that HMSCs-Ex showed better antioxidant abilities to attenuate SM-induced apoptosis. Furthermore, it was identified that HMSCs-Ex-derived miR-199a-5p played the vital role in reducing pneumonocyte oxidative stress. We observed that the overexpression of miR-199a-5p in HMSCs-Ex exerted protective effects against SM-induced oxidative injury by activating the NRF2 signaling pathway. Moreover, it was confirmed that Caveolin1 (CAV1) was the target gene regulated by miR-199a-5p. MiR-199a-HMSCs-Ex reduced CAV1 expression, leading to the upregulation of NRF2 and the activation of the NRF2 antioxidant signal pathway. Conclusions: MiR-199a-5p was one of the key molecules in HMSCs-Ex that attenuated SM-associated oxidative stress via regulating CAV1/NRF2 signaling 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
orixero应助如初采纳,获得10
刚刚
张老板完成签到,获得积分10
刚刚
刚刚
刚刚
xuan完成签到 ,获得积分10
1秒前
英吉利25发布了新的文献求助10
1秒前
领导范儿应助正直的小伙采纳,获得10
1秒前
鹿无虞完成签到,获得积分10
2秒前
ladybird完成签到,获得积分10
2秒前
dandelion发布了新的文献求助10
4秒前
张恩梅发布了新的文献求助10
4秒前
4秒前
4秒前
英俊的铭应助123采纳,获得10
5秒前
jing发布了新的文献求助10
5秒前
浅浅笑发布了新的文献求助10
5秒前
6秒前
6秒前
7秒前
7秒前
FashionBoy应助甜叶菊采纳,获得10
7秒前
张欢馨应助77采纳,获得10
7秒前
aaaa应助鹿无虞采纳,获得10
7秒前
7秒前
8秒前
领导范儿应助WangShuo采纳,获得10
8秒前
会飞的猪发布了新的文献求助10
8秒前
8秒前
zxq发布了新的文献求助30
10秒前
无花果应助shawn采纳,获得10
10秒前
Jasper应助故意的小松鼠采纳,获得10
10秒前
11秒前
WUDI发布了新的文献求助10
11秒前
biwenzhu发布了新的文献求助20
11秒前
lynn完成签到,获得积分10
12秒前
12秒前
慧慧慧发布了新的文献求助10
12秒前
12秒前
Akim应助spark采纳,获得10
13秒前
13秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 5000
How to Use Machine Learning in Chemistry: An Introduction 1000
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Discerning Saints: Moralization of Intrinsic Motivation and Selective Prosociality at Work 500
Handbuch Trainingswissenschaft – Trainingslehre 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 7582679
求助须知:如何正确求助?哪些是违规求助? 9161608
关于积分的说明 19604096
捐赠科研通 7164899
什么是DOI,文献DOI怎么找? 3266181
关于科研通互助平台的介绍 2431110
邀请新用户注册赠送积分活动 2257468