Department of Medicine, Section of Pulmonary and Critical Care Medicine, Boston University, Boston, MA; Department of Medicine, Section of Computational Biomedicine, Boston University, Boston, MA.
Department of Medicine, Division of Pulmonary and Critical Care Medicine, Brigham and Women's Hospital, Boston, MA; Applied Chest Imaging Laboratory, Brigham and Women's Hospital, Boston, MA.
Chest. 2021 Feb;159(2):549-563. doi: 10.1016/j.chest.2020.08.2115. Epub 2020 Sep 16.
Chronic tobacco smoke exposure results in a broad range of lung pathologies including emphysema, airway disease and parenchymal fibrosis as well as a multitude of extra-pulmonary comorbidities. Prior work using CT imaging has identified several clinically relevant subgroups of smoking related lung disease, but these investigations have generally lacked organ specific molecular correlates.
Can CT imaging be used to identify clinical phenotypes of smoking related lung disease that have specific bronchial epithelial gene expression patterns to better understand disease pathogenesis?
Using K-means clustering, we clustered participants from the COPDGene study (n = 5,273) based on CT imaging characteristics and then evaluated their clinical phenotypes. These clusters were replicated in the Detection of Early Lung Cancer Among Military Personnel (DECAMP) cohort (n = 360), and were further characterized using bronchial epithelial gene expression.
Three clusters (preserved, interstitial predominant and emphysema predominant) were identified. Compared to the preserved cluster, the interstitial and emphysema clusters had worse lung function, exercise capacity and quality of life. In longitudinal follow-up, individuals from the emphysema group had greater declines in exercise capacity and lung function, more emphysema, more exacerbations, and higher mortality. Similarly, genes involved in inflammatory pathways (tumor necrosis factor-α, interferon-β) are more highly expressed in bronchial epithelial cells from individuals in the emphysema cluster, while genes associated with T-cell related biology are decreased in these samples. Samples from individuals in the interstitial cluster generally had intermediate levels of expression of these genes.
Using quantitative CT imaging, we identified three groups of individuals in older ever-smokers that replicate in two cohorts. Airway gene expression differences between the three groups suggests increased levels of inflammation in the most severe clinical phenotype, possibly mediated by the tumor necrosis factor-α and interferon-β pathways.
COPDGene (NCT00608764), DECAMP-1 (NCT01785342), DECAMP-2 (NCT02504697).
慢性烟草烟雾暴露会导致广泛的肺部病理改变,包括肺气肿、气道疾病和实质纤维化,以及多种肺外合并症。先前使用 CT 成像进行的研究已经确定了几种与吸烟相关的肺部疾病的具有临床相关性的亚组,但这些研究通常缺乏器官特异性的分子相关性。
CT 成像是否可用于识别与吸烟相关的肺部疾病的临床表型,这些表型具有特定的支气管上皮基因表达模式,以更好地理解疾病发病机制?
我们使用 K-均值聚类方法,根据 CT 成像特征对 COPDGene 研究(n=5273)中的参与者进行聚类,然后评估他们的临床表型。这些聚类在 Detection of Early Lung Cancer Among Military Personnel(DECAMP)队列(n=360)中得到复制,并使用支气管上皮基因表达进一步进行特征描述。
确定了三个聚类(保留型、间质型和肺气肿型)。与保留型聚类相比,间质型和肺气肿型的肺功能、运动能力和生活质量更差。在纵向随访中,肺气肿组的个体运动能力和肺功能下降更大,肺气肿更多,加重更多,死亡率更高。同样,支气管上皮细胞中炎症途径(肿瘤坏死因子-α、干扰素-β)相关基因的表达水平在肺气肿聚类中的个体中更高,而与 T 细胞相关生物学相关的基因在这些样本中减少。间质型聚类中个体的这些基因的表达水平一般处于中间水平。
使用定量 CT 成像,我们在两个队列中鉴定了老年吸烟者中的三组人群。三组之间的气道基因表达差异表明,在最严重的临床表型中炎症水平增加,可能由肿瘤坏死因子-α和干扰素-β途径介导。
COPDGene(NCT00608764),DECAMP-1(NCT01785342),DECAMP-2(NCT02504697)。