火灾烟雾暴露对免疫的影响

IF 58.7 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Mary M. Johnson, Abhinav Kaushik, Olivia A. Kline, Eric M. Smith, Xiaoying Zhou, Yagiz Pat, Laura Buergi, Juan Aguilera, Shifaa Alkotob, Elisabeth M. Simonin, Alberto Favaro, Miguel Couto, Oscar Bennett, R. Sharon Chinthrajah, Ella Parsons, Mohamed Shamji, Marshall Burke, Melissa Bondy, Mubeccel Akdis, Cezmi A. Akdis, Kari C. Nadeau
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引用次数: 0

摘要

接触火灾烟雾已成为一个全球性的健康问题,并与发病率和死亡率增加有关。人们对接触烟雾所涉及的特定免疫机制缺乏了解,因此需要采取预防性和针对性的干预措施。在接触包括PM2.5、有毒金属以及全氟烷基和多氟烷基物质在内的火灾烟雾后,基于流行病学的研究表明,呼吸系统(例如,哮喘加重)、心脏(例如,心肌梗死、心律失常)、神经系统(例如,中风)和与妊娠有关的(例如,低出生体重、早产)结果会增加。然而,探索烟雾暴露如何破坏细胞稳态的机制研究尚缺乏。因此,我们收集了烟雾暴露个体(n = 31)和年龄匹配和性别匹配的非烟雾暴露对照组(n = 29)的血液,并使用基于甲基化和细胞计数的单细胞暴露学方法研究了这些复杂的相互作用。总体而言,我们的数据表明,烟雾暴露与133个疾病相关基因位点的甲基化之间存在强烈关联,而免疫表型显示归巢和激活生物标志物增加。我们开发了一种应用大规模细胞术来分析单细胞/金属结合,并发现,例如,死细胞中的汞含量增加,活细胞和死细胞群体中的镉含量增加。此外,汞含量与长期接触烟雾有关。多个染色体上的几个表观遗传位点与单个免疫细胞中的单个有毒金属同位素相关。我们在单细胞水平上检测烟雾暴露影响的方法和研究结果可能有助于确定暴露时间,并确定可以修改的特定分子靶标,以预防和控制烟雾暴露。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Immune impacts of fire smoke exposure

Immune impacts of fire smoke exposure

Exposure to fire smoke has become a global health concern and is associated with increased morbidity and mortality. There is a lack of understanding of the specific immune mechanisms involved in smoke exposure, with preventive and targeted interventions needed. After exposure to fire smoke, which includes PM2.5, toxic metals and perfluoroalkyl and polyfluoroalkyl substances, epidemiology-based studies have demonstrated increases in respiratory (for example, asthma exacerbation), cardiac (for example, myocardial infarction, arrhythmias), neurological (for example, stroke) and pregnancy-related (for example, low birthweight, premature birth) outcomes. However, mechanistic studies exploring how smoke exposure disrupts cellular homeostasis are lacking. Therefore, we collected blood from smoke-exposed individuals (n = 31) and age-matched and sex-matched non-smoke-exposed controls (n = 29), and investigated these complex interactions using a single-cell exposomic approach based on both methylation and mass cytometry. Overall, our data demonstrated a strong association between smoke exposure and methylation at 133 disease-relevant gene loci, while immunophenotyping showed increased homing and activation biomarkers. We developed an application of mass cytometry to analyze single-cell/metal binding and found, for example, increased levels of mercury in dead cells and cadmium in the live and dead cell populations. Moreover, mercury levels were associated with years of smoke exposure. Several epigenetic sites across multiple chromosomes were associated with individual toxic metal isotopes in single immune cells. Our methods for detecting the effect of smoke exposure at the single-cell level and the study results may help to determine the timing of exposure and identify specific molecular targets that could be modified to prevent and manage exposure to smoke.

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来源期刊
Nature Medicine
Nature Medicine 医学-生化与分子生物学
CiteScore
100.90
自引率
0.70%
发文量
525
审稿时长
1 months
期刊介绍: Nature Medicine is a monthly journal publishing original peer-reviewed research in all areas of medicine. The publication focuses on originality, timeliness, interdisciplinary interest, and the impact on improving human health. In addition to research articles, Nature Medicine also publishes commissioned content such as News, Reviews, and Perspectives. This content aims to provide context for the latest advances in translational and clinical research, reaching a wide audience of M.D. and Ph.D. readers. All editorial decisions for the journal are made by a team of full-time professional editors. Nature Medicine consider all types of clinical research, including: -Case-reports and small case series -Clinical trials, whether phase 1, 2, 3 or 4 -Observational studies -Meta-analyses -Biomarker studies -Public and global health studies Nature Medicine is also committed to facilitating communication between translational and clinical researchers. As such, we consider “hybrid” studies with preclinical and translational findings reported alongside data from clinical studies.
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