制定一项筛选方案,以确定对木烟颗粒诱导的气道炎症有反应的人,并将GSTM1基因型和哮喘状态的初步评估作为反应调节剂。

IF 2 4区 医学 Q4 TOXICOLOGY
Inhalation Toxicology Pub Date : 2022-01-01 Epub Date: 2022-08-15 DOI:10.1080/08958378.2022.2110334
Neil E Alexis, Laura Y Zhou, Allison J Burbank, Martha Almond, Michelle L Hernandez, Katherine H Mills, Terry L Noah, Heather Wells, Haibo Zhou, David B Peden
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引用次数: 4

摘要

背景:我们目前正在对人类志愿者进行筛查,以确定他们在开始接触木烟颗粒(WSP)后6小时和24小时的痰液中性粒细胞(PMN)反应。炎症反应者(%PMN增加≥10%)因其随后参与针对WSP诱导的气道炎症的缓解研究而被确定。在本报告中,我们比较了响应者状态(<;i>;N<;/i>; = 52)在6和24 hr时间点来完善/扩展其分类,评估GSTM1基因型、哮喘状态和性别对应答者状态的影响,并探讨炎症的痰可溶性阶段标志物是否与PMN对WSP的反应性相关。结果:6小时应答者往往是24小时应答者,反之亦然,IL-8在24 WSP暴露后数小时。GSTM1无效基因型显著(<;i>;p<;/i>; &;lt; 0.05)使24小时应答者的%PMN应答率提高了24%,而在6 小时响应者。哮喘状态增强24 在6小时和24小时应答者中的小时%PMN应答。在整个队列中(未按应答者状态进行分层),我们发现暴露于WSP后FVC和收缩压立即显著但非常小的下降,在24但不是6时,痰液%PMN显著增加,并与痰液炎症标志物(IL-1β、IL-6、IL-8和PMN/mg)相关 暴露后数小时。整个队列的血液终点显示,PMN和PMN/mg的百分比在6时显著增加,但在24时没有 小时。性别对%PMN反应没有影响。结论:24小时时间点比6小时时间点在最佳和可扩展地定义WSP暴露的气道炎症反应性方面更具信息性。GSTM1和哮喘状态是这种反应的显著影响调节剂。在招募志愿者进行概念验证WSP缓解研究之前,应考虑这些研究设计和受试者参数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Development of a screening protocol to identify persons who are responsive to wood smoke particle-induced airway inflammation with pilot assessment of GSTM1 genotype and asthma status as response modifiers.

Development of a screening protocol to identify persons who are responsive to wood smoke particle-induced airway inflammation with pilot assessment of GSTM1 genotype and asthma status as response modifiers.

Background: We are currently screening human volunteers to determine their sputum polymorphonuclear neutrophil (PMN) response 6- and 24-hours following initiation of exposure to wood smoke particles (WSP). Inflammatory responders (≥10% increase in %PMN) are identified for their subsequent participation in mitigation studies against WSP-induced airways inflammation. In this report we compared responder status (<i>N</i> = 52) at both 6 and 24 hr time points to refine/expand its classification, assessed the impact of the GSTM1 genotype, asthma status and sex on responder status, and explored whether sputum soluble phase markers of inflammation correlate with PMN responsiveness to WSP.

Results: Six-hour responders tended to be 24-hour responders and vice versa, but 24-hour responders also had significantly increased IL-1beta, IL-6, IL-8 at 24 hours post WSP exposure. The GSTM1 null genotype significantly (<i>p</i> &lt; 0.05) enhanced the %PMN response by 24% in the 24-hour responders and not at all in the 6 hours responders. Asthma status enhanced the 24 hour %PMN response in the 6- and 24-hour responders. In the entire cohort (not stratified by responder status), we found a significant, but very small decrease in FVC and systolic blood pressure immediately following WSP exposure and sputum %PMNs were significantly increased and associated with sputum inflammatory markers (IL-1beta, IL-6, IL-8, and PMN/mg) at 24 but not 6 hours post exposure. Blood endpoints in the entire cohort showed a significant increase in %PMN and PMN/mg at 6 but not 24 hours. Sex had no effect on %PMN response.

Conclusions: The 24-hour time point was more informative than the 6-hour time point in optimally and expansively defining airway inflammatory responsiveness to WSP exposure. GSTM1 and asthma status are significant effect modifiers of this response. These study design and subject parameters should be considered before enrolling volunteers for proof-of-concept WSP mitigation studies.

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来源期刊
Inhalation Toxicology
Inhalation Toxicology 医学-毒理学
CiteScore
4.10
自引率
4.80%
发文量
38
审稿时长
6-12 weeks
期刊介绍: Inhalation Toxicology is a peer-reviewed publication providing a key forum for the latest accomplishments and advancements in concepts, approaches, and procedures presently being used to evaluate the health risk associated with airborne chemicals. The journal publishes original research, reviews, symposia, and workshop topics involving the respiratory system’s functions in health and disease, the pathogenesis and mechanism of injury, the extrapolation of animal data to humans, the effects of inhaled substances on extra-pulmonary systems, as well as reliable and innovative models for predicting human disease.
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