Laboratory for Translational Research in Obstructive Pulmonary Diseases, Department of Respiratory Medicine, Ghent University Hospital, Ghent, Belgium.
Center for Medical Genetics, Ghent University, Ghent, Belgium.
Sci Rep. 2017 Oct 9;7(1):12871. doi: 10.1038/s41598-017-13265-8.
Chronic obstructive pulmonary disease (COPD) is characterized by a progressive airflow limitation and is associated with a chronic inflammatory response in both airways and lungs. microRNAs (miRNAs) are often highly conserved between species and have an intricate role within homeostatic conditions and immune responses. Also, miRNAs are dysregulated in smoking-associated diseases. We investigated the miRNA profile of 523 miRNAs by stem-loop RT-qPCR in lung tissue and cell-free bronchoalveolar lavage (BAL) supernatant of mice exposed to air or cigarette smoke (CS) for 4 or 24 weeks. After 24 weeks of CS exposure, 31 miRNAs were differentially expressed in lung tissue and 78 in BAL supernatant. Next, we correlated the miRNA profiling data to inflammation in BAL and lung, obtained by flow cytometry or ELISA. In addition, we surveyed for overlap with newly assessed miRNA profiles in bronchial biopsies and with previously assessed miRNA profiles in lung tissue and induced sputum supernatant of smokers with COPD. Several miRNAs showed concordant differential expression between both species including miR-31*, miR-155, miR-218 and let-7c. Thus, investigating miRNA profiling data in different compartments and both species provided accumulating insights in miRNAs that may be relevant in CS-induced inflammation and the pathogenesis of COPD.
慢性阻塞性肺疾病(COPD)的特征是气流受限进行性加重,并伴有气道和肺部的慢性炎症反应。微小 RNA(miRNA)在物种间通常高度保守,在稳态条件和免疫反应中具有复杂的作用。此外,miRNA 在与吸烟相关的疾病中失调。我们通过茎环 RT-qPCR 研究了暴露于空气或香烟烟雾(CS)4 或 24 周的小鼠肺组织和细胞游离支气管肺泡灌洗液(BAL)上清液中 523 种 miRNA 的 miRNA 谱。CS 暴露 24 周后,肺组织中有 31 种 miRNA 表达差异,BAL 上清液中有 78 种 miRNA 表达差异。然后,我们将 miRNA 分析数据与通过流式细胞术或 ELISA 获得的 BAL 和肺中的炎症相关联。此外,我们还调查了新评估的支气管活检 miRNA 图谱与吸烟 COPD 患者肺组织和诱导痰上清液中先前评估的 miRNA 图谱之间的重叠情况。几种 miRNA 在两种物种之间的差异表达具有一致性,包括 miR-31*、miR-155、miR-218 和 let-7c。因此,在不同的隔间和两个物种中研究 miRNA 分析数据提供了更多关于可能与 CS 诱导的炎症和 COPD 发病机制相关的 miRNA 的信息。