Beane Jennifer, Sebastiani Paola, Liu Gang, Brody Jerome S, Lenburg Marc E, Spira Avrum
Bioinformatics Program, Boston University, Cummington Street, Boston, MA 02215, USA.
Genome Biol. 2007;8(9):R201. doi: 10.1186/gb-2007-8-9-r201.
Tobacco use remains the leading preventable cause of death in the US. The risk of dying from smoking-related diseases remains elevated for former smokers years after quitting. The identification of irreversible effects of tobacco smoke on airway gene expression may provide insights into the causes of this elevated risk.
Using oligonucleotide microarrays, we measured gene expression in large airway epithelial cells obtained via bronchoscopy from never, current, and former smokers (n = 104). Linear models identified 175 genes differentially expressed between current and never smokers, and classified these as irreversible (n = 28), slowly reversible (n = 6), or rapidly reversible (n = 139) based on their expression in former smokers. A greater percentage of irreversible and slowly reversible genes were down-regulated by smoking, suggesting possible mechanisms for persistent changes, such as allelic loss at 16q13. Similarities with airway epithelium gene expression changes caused by other environmental exposures suggest that common mechanisms are involved in the response to tobacco smoke. Finally, using irreversible genes, we built a biomarker of ever exposure to tobacco smoke capable of classifying an independent set of former and current smokers with 81% and 100% accuracy, respectively.
We have categorized smoking-related changes in airway gene expression by their degree of reversibility upon smoking cessation. Our findings provide insights into the mechanisms leading to reversible and persistent effects of tobacco smoke that may explain former smokers increased risk for developing tobacco-induced lung disease and provide novel targets for chemoprophylaxis. Airway gene expression may also serve as a sensitive biomarker to identify individuals with past exposure to tobacco smoke.
在美国,吸烟仍是可预防的首要死因。戒烟多年后, former smokers死于吸烟相关疾病的风险仍然很高。确定烟草烟雾对气道基因表达的不可逆影响,可能有助于深入了解这种高风险的成因。
我们使用寡核苷酸微阵列,测量了通过支气管镜检查从从不吸烟、 current smokers和former smokers(n = 104)获得的大气道上皮细胞中的基因表达。线性模型确定了175个在current smokers和从不吸烟者之间差异表达的基因,并根据它们在former smokers中的表达将其分类为不可逆(n = 28)、缓慢可逆(n = 6)或快速可逆(n = 139)。更大比例的不可逆和缓慢可逆基因因吸烟而下调,这表明了持续变化的可能机制,如16q13处的等位基因缺失。与其他环境暴露引起的气道上皮基因表达变化的相似性表明,对烟草烟雾的反应涉及共同机制。最后,我们使用不可逆基因构建了一个曾经接触过烟草烟雾的生物标志物,能够分别以81%和100%的准确率对一组独立的former smokers和current smokers进行分类。
我们根据戒烟后气道基因表达的可逆程度对与吸烟相关的变化进行了分类。我们的研究结果深入了解了导致烟草烟雾可逆和持续影响的机制,这可能解释了former smokers患烟草诱导性肺病风险增加的原因,并为化学预防提供了新的靶点。气道基因表达也可作为一种敏感的生物标志物,用于识别过去接触过烟草烟雾的个体。