Hazard Identification Platform to Assess the Health Impacts from Indoor and Outdoor Air Pollutant Exposures, through Mechanistic Toxicology

通过机械毒理学评估室内和室外空气污染物暴露对健康的影响的危害识别平台

基本信息

  • 批准号:
    NE/W002078/1
  • 负责人:
  • 金额:
    $ 78.58万
  • 依托单位:
  • 依托单位国家:
    英国
  • 项目类别:
    Research Grant
  • 财政年份:
    2021
  • 资助国家:
    英国
  • 起止时间:
    2021 至 无数据
  • 项目状态:
    未结题

项目摘要

The focus on particulate matter (PM2.5) mass reductions in UK air quality policy reflects the metrics measured for regulatory compliance. Epidemiological approaches have struggled to untangle the relative hazard of PM constituents within this mass, as well as co-pollutant gases, such as NO2, leading to the contention that all PM2.5 components must be treated as being equally harmful to human health. This makes little toxicological sense. The lack of a relative hazard ranking of PM constituents and co-emitted gases means that policy focuses on blunt strategies based on overall reductions in pollutant concentrations, rather than a refined focus on health relevant sources and components. This poses risks of unintended consequences, e.g. focusing on the largest contributors to PM2.5 for regulatory compliance, rather than the most harmful fractions, may fail to deliver predicted health benefits to the most vulnerable members of our society. In outdoor air this has remained unresolved for over 20-years, but further complexity is introduced by the heterogeneous indoor environment which must be considered in a complete picture of exposure. To address this major knowledge gap, the UK requires integration and focus of toxicological resource methodologies to identify the most hazardous fractions of indoor and outdoor PM and to elucidate the causal pathways contributing to disease development and exacerbation. Our proposed consortium brings together recognised UK expertise in atmospheric sciences, toxicology and biomedical sciences in a world-leading interdisciplinary collaboration to build an Air Pollution Hazard Identification Platform. This platform will deliver the capability to conduct controlled and characterised exposures to defined pollutant mixtures from different sources for in vitro, in vivo animal and human toxicological studies. We will use the large atmospheric simulation chamber at the University of Manchester to conduct experiments exposing human volunteers to diesel exhaust, woodsmoke, cooking emissions, secondary organic aerosol and NOx-enhanced mixtures, all at ambient atmospheric levels. These have been selected for their recognised substantial contributions to indoor and outdoor air pollution. The chamber exposures will be used as a reference and these experiments will be used to provide filtered samples of the PM for in vitro and transgenic animal exposures at the partner Institutions. Referenceable portable source units for all primary and secondary pollutant mixtures will be developed, characterised and deployed for in vitro and animal exposures to the full gas and particle mixture. Within the proposal, we will demonstrate the capability of the platform to elucidate the toxicological mechanisms involved in the neurological impacts of air pollution, though any health outcomes are accessible to the platform. The in vitro studies will be used to explore possible direct and indirect mechanisms for neuroinflammation and injury, identifying the molecular pathways associated with cellular activation. Using a unique panel of transgenic stress-reporter mouse lines, the stress response on exposure to the various pollutants will be tracked in a tissue and cell specific manner in vivo and provide a hazard ranking of the pollutants that can be related back to the in vitro molecular signatures. Repeat experiments with mouse lines susceptible to Alzheimer's disease will examine changes in these stress responses. Epigenetic DNA signatures will be examined in target tissues. A panel of healthy aged human subjects with a family history of increased dementia risk will provide biosamples and be subjected to cognitive tests on exposure to the different mixtures, further enabling their hazard ranking for correlation with the in vitro and animal studies. The mechanistic linkages between the animal and human exposure responses will be explored using candidate driven biomarker and untargeted metabolomic and epigenetic studies.
英国空气质量政策对颗粒物(PM2.5)质量削减的关注反映了衡量监管合规性的指标。流行病学方法一直在努力理清这一质量中PM成分以及NO2等共污染气体的相对危险,这导致了必须将所有PM2.5成分都视为对人类健康同样有害的观点。这在毒理学上没有什么意义。缺乏PM成分和共同排放气体的相对危险排名意味着,政策侧重于基于总体污染物浓度降低的直截了当的战略,而不是精细化地关注与健康相关的来源和成分。这带来了意想不到的后果的风险,例如,关注PM2.5的最大合规性贡献者,而不是最有害的部分,可能无法为我们社会中最脆弱的成员带来预期的健康益处。在室外空气中,这一问题20多年来一直没有得到解决,但不同种类的室内环境带来了进一步的复杂性,必须在完整的暴露画面中进行考虑。为了解决这一重大知识差距,英国需要整合和关注毒理学资源方法,以确定室内和室外PM中最危险的部分,并阐明导致疾病发展和恶化的因果途径。我们提议的联盟将英国在大气科学、毒理学和生物医学科学方面的公认专业知识结合在一起,形成一个世界领先的跨学科合作,以建立一个空气污染危险识别平台。该平台将提供对来自不同来源的已定义污染物混合物进行受控和特性化暴露的能力,以进行体外、体内、动物和人类毒理学研究。我们将使用曼彻斯特大学的大型大气模拟室进行实验,让人类志愿者暴露在柴油废气、木烟、烹饪废气、二次有机气溶胶和NOx强化混合物中,所有这些都在环境大气水平上。它们之所以被选中,是因为它们对室内和室外空气污染做出了公认的重大贡献。室内暴露将被用作参考,这些实验将被用来为合作机构的体外和转基因动物暴露提供PM的过滤样本。所有初级和次级污染物混合物的可参考便携式源装置将被开发、表征和部署,用于体外和动物暴露于完整的气体和颗粒混合物。在建议中,我们将展示该平台的能力,以阐明空气污染对神经的影响所涉及的毒理学机制,尽管该平台可以获取任何健康结果。体外研究将用于探索神经炎症和损伤的可能直接和间接机制,确定与细胞激活相关的分子途径。使用一组独特的转基因应激报告鼠系,将在体内以组织和细胞特有的方式跟踪暴露在各种污染物下的应激反应,并提供可追溯到体外分子特征的污染物的危险等级。对阿尔茨海默病易感小鼠品系的重复实验将检验这些应激反应的变化。表观遗传DNA签名将在目标组织中进行检查。一组有痴呆症家族史的健康老年人类受试者将提供生物样本,并接受暴露于不同混合物的认知测试,进一步使他们的风险排名与体外和动物研究相关联。动物和人类暴露反应之间的机制联系将使用候选驱动的生物标记物和非靶向代谢学和表观遗传学研究来探索。

项目成果

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Roland Wolf其他文献

Functional Characterization of the Transcription Silencer Element Located within the Human Pi Class Glutathione S-Transferase Promoter*
位于人 Pi 类谷胱甘肽 S-转移酶启动子内的转录沉默元件的功能表征*
Relative efficiency of three estimators in a polynomial regression with measurement errors
具有测量误差的多项式回归中三个估计量的相对效率
Dr. Thomas Friedberg (January 24, 1951–April 22, 2009)
  • DOI:
    10.1007/s00204-009-0468-1
  • 发表时间:
    2009-09-11
  • 期刊:
  • 影响因子:
    6.900
  • 作者:
    Roland Wolf;Franz Oesch
  • 通讯作者:
    Franz Oesch
Comparison of three estimators in a polynomial regression with measurement errors
多项式回归中三个估计量与测量误差的比较
  • DOI:
    10.5282/ubm/epub.1614
  • 发表时间:
    2001
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Kukush;H. Schneeweiß;Roland Wolf
  • 通讯作者:
    Roland Wolf
Comparing Different Estimators in a Nonlinear Measurement Error Model
比较非线性测量误差模型中的不同估计器
  • DOI:
  • 发表时间:
    2002
  • 期刊:
  • 影响因子:
    0
  • 作者:
    A. Kukush;H. Schneeweiß;Roland Wolf
  • 通讯作者:
    Roland Wolf

Roland Wolf的其他文献

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{{ truncateString('Roland Wolf', 18)}}的其他基金

Developing new paradigms for overcoming drug resistance in cancer using novel humanised mouse models
使用新型人源化小鼠模型开发克服癌症耐药性的新范例
  • 批准号:
    MR/R017506/1
  • 财政年份:
    2018
  • 资助金额:
    $ 78.58万
  • 项目类别:
    Research Grant
Defining the Deleterious Effects of Environmental Pollutants at a Mechanistic Level
从机制层面定义环境污染物的有害影响
  • 批准号:
    MR/R009848/1
  • 财政年份:
    2017
  • 资助金额:
    $ 78.58万
  • 项目类别:
    Research Grant
Metabolically Competent Stem Cell Systems: Novel Means to Implement 3Rs in Better Drug Safety Assessment
具有代谢能力的干细胞系统:在更好的药物安全性评估中实施 3R 的新方法
  • 批准号:
    G0700611/1
  • 财政年份:
    2008
  • 资助金额:
    $ 78.58万
  • 项目类别:
    Research Grant

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