Characterization of plasma-derived exosomal miRNA changes following traffic-related air pollution exposure: A randomized, crossover trial based on small RNA sequencing

小RNA 折叠变化 外体 数字聚合酶链反应 核糖核酸 小RNA 交叉研究 生物 微泡 计算生物学 生物信息学 医学 基因表达 基因 遗传学 聚合酶链反应 病理 替代医学 安慰剂
作者
Xihao Du,Yizhong Wang,Yixuan Jiang,Xinlei Zhu,Yang Zhang,Cong Liu,Yue Niu,Jing Cai,Renjie Chen,Haidong Kan
出处
期刊:Environment International [Elsevier BV]
卷期号:167: 107430-107430 被引量:5
标识
DOI:10.1016/j.envint.2022.107430
摘要

The underlying mechanisms for health effects of traffic-related air pollution (TRAP) are still unclear. Small RNA sequencing (RNA-seq) in exosomes represents as a powerful approach to elucidate biological pathways in response to environmental exposure. We therefore aimed to explore impact of TRAP exposure on exosomal miRNAs. We performed a randomized, crossover study among 35 healthy college students in Shanghai, China. Participants were randomly assigned to 4-hour exposure in a traffic-polluted Road and in a traffic-free Park, respectively, intermitted by a washout period (at least 2 weeks). RNA-seq was conducted to identify plasma-derived exosomal miRNAs and the differential miRNAs were explored using linear mixed-effect models. Pathway enrichment was conducted using ingenuity pathway analysis. Further, we validated several selected miRNAs by droplet digital PCR (ddPCR). The average concentrations of air pollutants including ultrafine particles, black carbon, nitrogen dioxide, and carbon dioxide were 2–3 times higher in the Road compared to those in the Park. We identified 271 exosomal miRNAs (212 up-regulated and 59 down-regulated) that were significantly associated with TRAP. We found 5 miRNAs with 242 experimentally validated mRNA targets that were involved in cardiovascular pathway, cytokine signaling, and immune response. The ddPCR analysis suggested that miR-3612, miR-21-5p, and miR-195-5p were significantly changed following TRAP exposure. For the first time this trial characterized the genome-wide changes of exosomal miRNA associated with TRAP exposure. The molecular profiling of exosomal miRNAs and “novel” associations of some miRNAs were useful for understanding on biological mechanisms for the adverse effects of TRAP.
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
flac3d完成签到,获得积分10
刚刚
amengptsd完成签到,获得积分10
1秒前
科研通AI2S应助林士萍采纳,获得10
1秒前
今后应助波哥采纳,获得10
1秒前
2秒前
可爱的函函应助鱼鱼鱼采纳,获得10
2秒前
朴素雪碧完成签到,获得积分10
2秒前
愤怒的微笑完成签到,获得积分10
3秒前
77发布了新的文献求助10
3秒前
FashionBoy应助liao采纳,获得10
5秒前
cheng完成签到,获得积分10
6秒前
7秒前
8秒前
9秒前
9秒前
9秒前
坛子完成签到,获得积分10
10秒前
koui完成签到 ,获得积分10
10秒前
11秒前
cc科研发布了新的文献求助10
11秒前
jinmei2025发布了新的文献求助10
12秒前
独钓寒江雪完成签到 ,获得积分10
13秒前
nylmmn完成签到,获得积分10
13秒前
波哥发布了新的文献求助10
13秒前
buzxdz完成签到,获得积分10
14秒前
14秒前
16秒前
17秒前
林士萍发布了新的文献求助10
19秒前
酷波er应助Eric采纳,获得30
19秒前
烟花应助机智的火采纳,获得10
19秒前
20秒前
21秒前
jixuchance发布了新的文献求助10
21秒前
希望天下0贩的0应助半夏采纳,获得10
21秒前
大模型应助晨晓采纳,获得10
23秒前
23秒前
24秒前
淇淇应助LingYun采纳,获得150
25秒前
28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
Autoparametric Resonance in Mechanical Systems 1000
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 500
Auslegungsgeschichte 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 7643778
求助须知:如何正确求助?哪些是违规求助? 9216781
关于积分的说明 19773275
捐赠科研通 7209104
什么是DOI,文献DOI怎么找? 3276715
关于科研通互助平台的介绍 2438276
邀请新用户注册赠送积分活动 2274526