Division of Computational Biomedicine, Boston University School of Medicine, Boston, Massachusetts, USA.
Bioinformatics Program, Boston University, Boston, Massachusetts, USA.
Thorax. 2022 Jan;77(1):31-39. doi: 10.1136/thoraxjnl-2019-214476. Epub 2021 May 10.
COPD is characterised by progressive lung function decline. Leveraging prior work demonstrating bronchial airway COPD-associated gene expression alterations, we sought to determine if there are alterations associated with differences in the rate of FEV decline.
We examined gene expression among ever smokers with and without COPD who at baseline had bronchial brushings profiled by Affymetrix microarrays and had longitudinal lung function measurements (n=134; mean follow-up=6.38±2.48 years). Gene expression profiles associated with the rate of FEV decline were identified by linear modelling.
Expression differences in 171 genes were associated with rate of FEV decline (false discovery rate <0.05). The FEV decline signature was replicated in an independent dataset of bronchial biopsies from patients with COPD (n=46; p=0.018; mean follow-up=6.76±1.32 years). Genes elevated in individuals with more rapid FEV decline are significantly enriched among the genes altered by modulation of XBP1 in two independent datasets (Gene Set Enrichment Analysis (GSEA) p<0.05) and are enriched in mucin-related genes (GSEA p<0.05).
We have identified and replicated an airway gene expression signature associated with the rate of FEV decline. Aspects of this signature are related to increased expression of XBP1-regulated genes, a transcription factor involved in the unfolded protein response, and genes related to mucin production. Collectively, these data suggest that molecular processes related to the rate of FEV decline can be detected in airway epithelium, identify a possible indicator of FEV decline and make it possible to detect, in an early phase, ever smokers with and without COPD most at risk of rapid FEV decline.
COPD 的特征是肺功能进行性下降。利用先前的研究表明,支气管气道 COPD 相关基因表达改变,我们试图确定是否存在与 FEV 下降率差异相关的改变。
我们检查了有和没有 COPD 的曾吸烟者的基因表达,他们在基线时有支气管刷检,并通过 Affymetrix 微阵列进行了纵向肺功能测量(n=134;平均随访=6.38±2.48 年)。通过线性模型确定与 FEV 下降率相关的基因表达谱。
171 个基因的表达差异与 FEV 下降率相关(错误发现率<0.05)。FEV 下降特征在 COPD 患者支气管活检的独立数据集(n=46;p=0.018;平均随访=6.76±1.32 年)中得到复制。在 FEV 下降较快的个体中升高的基因在两个独立数据集的 XBP1 调节基因中显著富集(基因集富集分析(GSEA)p<0.05),并且在粘蛋白相关基因中富集(GSEA p<0.05)。
我们已经确定并复制了与 FEV 下降率相关的气道基因表达特征。该特征的某些方面与 XBP1 调节基因的表达增加有关,XBP1 是一种参与未折叠蛋白反应的转录因子,与粘蛋白产生有关。总之,这些数据表明,与 FEV 下降率相关的分子过程可以在气道上皮中检测到,确定了 FEV 下降的一个可能指标,并有可能在早期阶段检测到有和没有 COPD 的曾吸烟者,他们最有可能快速下降 FEV。