A non-invasive gene-expression biomarker of airway response to tobacco exposure

烟草暴露气道反应的非侵入性基因表达生物标志物

基本信息

  • 批准号:
    7849586
  • 负责人:
  • 金额:
    $ 60.01万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2007
  • 资助国家:
    美国
  • 起止时间:
    2007-08-15 至 2012-05-31
  • 项目状态:
    已结题

项目摘要

DESCRIPTION (provided by applicant): There are approximately 45 million current smokers and 46 million former smokers who are at increased risk for tobacco-related disease in the United States. The public health implications of this widespread environmental exposure are profound; tobacco smoke is the leading preventable cause of death in the United States and is projected to cause nearly 450 million deaths worldwide during the next 50 years. Despite the causal role of cigarette smoking in lung cancer and COPD, only 10-20% of smokers develop these diseases. There are few indicators of which smokers are at highest risk for disease, and it is unclear why individuals remain at high risk decades after they have stopped smoking. Current standard methods for quantifying exposure to tobacco smoke are limited in their ability to accurately assess cumulative dose and past exposure, and they do not capture the physiologic host response to tobacco exposure. We have previously shown that cigarette smoke causes an airway-wide epithelial cell "field of injury" and that gene expression, in airway epithelial cells obtained at bronchoscopy, reflects host response to smoking. We propose here to extend the "field of injury" concept to easily-accessible airway epithelial cells that can be obtained from nasal or buccal mucosa in a non-invasive fashion. By measuring global gene expression at these sites using a new "all-exon" expression platform, we will develop a series of biomarkers that assess host response to current tobacco exposure (active vs. passive vs. never smokers), intensity of current exposure, cumulative exposure among current smokers, time since last exposure among smokers who recently quit, and lifetime exposure. Furthermore, we will develop molecular pathway-based gene expression biomarkers that may be more accurate markers of individual responses to tobacco smoking. We also propose to correlate airway gene expression biomarkers with lung function and systemic markers of oxidative stress and inflammation, setting the stage for a more detailed understanding of how variability in epithelial response contributes to variability in disease-related pulmonary and systemic sequelae of tobacco smoke exposure. These studies will establish a new non-invasive tool that can be used to measure the host responses to tobacco smoke that can be used in subsequent large scale population studies as part of the Genes and Environment Initiative.
描述(由申请人提供): 在美国,大约有 4500 万当前吸烟者和 4600 万以前吸烟者患烟草相关疾病的风险较高。这种广泛的环境暴露对公共健康产生了深远的影响。烟草烟雾是美国主要的可预防死亡原因,预计在未来 50 年将导致全球近 4.5 亿人死亡。尽管吸烟与肺癌和慢性阻塞性肺病有因果关系,但只有 10-20% 的吸烟者会患上这些疾病。几乎没有指标表明哪些吸烟者患病风险最高,也不清楚为什么个人在戒烟几十年后仍处于高风险状态。目前量化烟草烟雾暴露的标准方法在准确评估累积剂量和过去暴露的能力方面受到限制,并且无法捕捉宿主对烟草暴露的生理反应。我们之前已经表明,香烟烟雾会导致气道范围的上皮细胞“损伤”,并且支气管镜检查获得的气道上皮细胞中的基因表达反映了宿主对吸烟的反应。我们在这里建议将“损伤区域”的概念扩展到易于接近的气道上皮细胞,这些细胞可以以非侵入性方式从鼻或颊粘膜获得。通过使用新的“全外显子”表达平台测量这些位点的全局基因表达,我们将开发一系列生物标志物,用于评估宿主对当前烟草暴露(主动吸烟者、被动吸烟者和从不吸烟者)的反应、当前暴露的强度、当前吸烟者的累积暴露、最近戒烟的吸烟者自上次暴露以来的时间以及终生暴露。此外,我们将开发基于分子途径的基因表达生物标志物,这些生物标志物可能是个体对吸烟反应的更准确的标志物。我们还建议将气道基因表达生物标志物与肺功能以及氧化应激和炎症的全身标志物相关联,为更详细地了解上皮反应的变异性如何导致烟草烟雾暴露的疾病相关肺部和全身后遗症的变异性奠定基础。这些研究将建立一种新的非侵入性工具,可用于测量宿主对烟草烟雾的反应,作为基因与环境倡议的一部分,可用于随后的大规模人群研究。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

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Avrum E Spira其他文献

The evolution of lung adenocarcinoma precursors is associated with chromosomal instability and transition from innate to adaptive immune response/evasion
肺腺癌前体细胞的进化与染色体不稳定以及从先天性免疫反应/逃避到适应性免疫反应的转变有关
  • DOI:
    10.21203/rs.3.rs-4396272/v1
  • 发表时间:
    2024
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Jianjun Zhang;Xin Hu;Bo Zhu;Natalie Vokes;Junya Fukuoka;Frank Rojas Alvarez;Simon Heeke;Andre L. Moreira;Luisa M. Solis;Cara Haymaker;V. Velcheti;Daniel Sterman;Harvey I. Pass;Chao Cheng;Jack Lee;Jianhua Zhang;Zhubo Wei;Jia Wu;Xiuning Li;E. Ostrin;I. Toumazis;Don Gibbons;Dan Su;Mara Antonoff;David E. Gerber;Chenyang Li;H. Kadara;Linghua Wang;M. Davis;John Heymach;Samir Hanash;Ignacio I. Wistuba;Stephen Dubinett;Ludmil Alexandrov;Scott M. Lippman;Avrum E Spira;A. Futreal;Alexandre Reuben
  • 通讯作者:
    Alexandre Reuben

Avrum E Spira的其他文献

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{{ truncateString('Avrum E Spira', 18)}}的其他基金

Administrative Core
行政核心
  • 批准号:
    10441646
  • 财政年份:
    2018
  • 资助金额:
    $ 60.01万
  • 项目类别:
A non-invasive gene-expression biomarker of airway response to tobacco exposure
烟草暴露气道反应的非侵入性基因表达生物标志物
  • 批准号:
    7900168
  • 财政年份:
    2009
  • 资助金额:
    $ 60.01万
  • 项目类别:
A non-invasive gene-expression biomarker of airway response to tobacco exposure
烟草暴露气道反应的非侵入性基因表达生物标志物
  • 批准号:
    7485198
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
Airway gene expression in smokers: an early diagnostic biomarker for lung cancer
吸烟者气道基因表达:肺癌的早期诊断生物标志物
  • 批准号:
    7776874
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
A non-invasive gene-expression biomarker of airway response to tobacco exposure
烟草暴露气道反应的非侵入性基因表达生物标志物
  • 批准号:
    8144569
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
Airway gene expression in smokers: an early diagnostic biomarker for lung cancer
吸烟者气道基因表达:肺癌的早期诊断生物标志物
  • 批准号:
    7177333
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
Airway gene expression in smokers: an early diagnostic biomarker for lung cancer
吸烟者气道基因表达:肺癌的早期诊断生物标志物
  • 批准号:
    8037710
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
Airway gene expression in smokers: an early diagnostic biomarker for lung cancer
吸烟者气道基因表达:肺癌的早期诊断生物标志物
  • 批准号:
    7578318
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
Airway gene expression in smokers: an early diagnostic biomarker for lung cancer
吸烟者气道基因表达:肺癌的早期诊断生物标志物
  • 批准号:
    7409031
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:
A non-invasive gene-expression biomarker of airway response to tobacco exposure
烟草暴露气道反应的非侵入性基因表达生物标志物
  • 批准号:
    7629122
  • 财政年份:
    2007
  • 资助金额:
    $ 60.01万
  • 项目类别:

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吸烟者和电子烟使用者急性电子烟暴露的 MRI 和生物标志物
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