Profiling Microbiota from Multiple Sites in the Respiratory Tract to Identify a Biomarker for PM2.5 Nitrate Exposure-Induced Pulmonary Damages

呼吸道 微生物群 呼吸系统 免疫学 生物标志物 生理学 生物 医学 内科学 生物化学 生物信息学
作者
Jushan Zhang,Haoxiang Cheng,Antonio Di Narzo,Yujie Zhu,Shuanshuan Xie,Xiaowen Shao,Zhongyang Zhang,Sookja Kim Chung,Ke Hao
出处
期刊:Environmental Science & Technology [American Chemical Society]
卷期号:57 (19): 7346-7357 被引量:6
标识
DOI:10.1021/acs.est.2c08807
摘要

The microbiota present in the respiratory tract (RT) responds to environmental stimuli and engages in a continuous interaction with the host immune system to maintain homeostasis. A total of 40 C57BL/6 mice were divided into four groups and exposed to varying concentrations of PM2.5 nitrate aerosol and clean air. After 10 weeks of exposure, assessments were conducted on the lung and airway microbiome, lung functions, and pulmonary inflammation. Additionally, we analyzed data from both mouse and human respiratory tract (RT) microbiomes to identify possible biomarkers for PM2.5 exposure-induced pulmonary damages. On average, 1.5 and 13.5% inter-individual microbiome variations in the lung and airway were explained by exposure, respectively. In the airway, among the 60 bacterial OTUs (operational taxonomic units) > 0.05% proportion, 40 OTUs were significantly affected by PM2.5 exposure (FDR ≤ 10%). Further, the airway microbiome was associated with peak expiratory flow (PEF) (p = 0.003), pulmonary neutrophil counts (p = 0.01), and alveolar 8-OHdG oxidative lesions (p = 0.0078). The Clostridiales order bacteria showed the strongest signals. For example, the o_Clostridiales;f_;g_ OTU was elevated by PM2.5 nitrate exposure (p = 4.98 × 10–5) and negatively correlated with PEF (r = −0.585 and p = 2.4 × 10–4). It was also associated with the higher pulmonary neutrophil count (p = 8.47 × 10–5) and oxidative lesion (p = 7.17 × 10–3). In human data, we confirmed the association of airway Clostridiales order bacteria with PM2.5 exposure and lung function. For the first time, this study characterizes the impact of PM2.5 exposure on the microbiome of multiple sites in the respiratory tract (RT) and its relevance to airflow obstructive diseases. By analyzing data from both humans and mice, we have identified bacteria belonging to the Clostridiales order as a promising biomarker for PM2.5 exposure-induced decline in pulmonary function and inflammation.
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
kian完成签到 ,获得积分10
刚刚
叶叶丫丫发布了新的文献求助10
1秒前
wwwkj发布了新的文献求助10
1秒前
1秒前
NexusExplorer应助笑笑采纳,获得50
1秒前
2秒前
打打应助勇敢的心采纳,获得10
2秒前
FiFi完成签到 ,获得积分10
2秒前
2秒前
一一完成签到,获得积分10
2秒前
乐乐应助LouisKing采纳,获得10
2秒前
Yrzyc应助刘星宇采纳,获得10
2秒前
科研通AI2S应助hhhh采纳,获得10
3秒前
小马甲应助hhhh采纳,获得10
3秒前
hhh发布了新的文献求助10
3秒前
4秒前
4秒前
chenhouhan发布了新的文献求助10
5秒前
5秒前
menghongmei发布了新的文献求助10
5秒前
现代的澜完成签到,获得积分10
5秒前
6秒前
丘比特应助john2333采纳,获得10
6秒前
静静发布了新的文献求助10
6秒前
在水一方应助111采纳,获得10
6秒前
香蕉觅云应助hua采纳,获得10
6秒前
6秒前
脑洞疼应助马俊豪采纳,获得10
6秒前
6秒前
艾卡发布了新的文献求助10
6秒前
dzh完成签到,获得积分10
7秒前
KPigFeed完成签到,获得积分10
7秒前
科研通AI6.1应助XX采纳,获得10
7秒前
LXN发布了新的文献求助10
7秒前
大方芾完成签到,获得积分10
8秒前
8秒前
8秒前
pick_up发布了新的文献求助10
8秒前
9秒前
9秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Materials selection in mechanical design 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
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 6478882
求助须知:如何正确求助?哪些是违规求助? 8280279
关于积分的说明 17660504
捐赠科研通 5561512
什么是DOI,文献DOI怎么找? 2911273
邀请新用户注册赠送积分活动 1888279
关于科研通互助平台的介绍 1742266