Bhattacharya Soumyaroop, Tyagi Shivraj, Srisuma Sorachai, Demeo Dawn L, Shapiro Steven D, Bueno Raphael, Silverman Edwin K, Reilly John J, Mariani Thomas J
Neonatology Division and Center for Pediatric Biomedical Research, University of Rochester Medical Center, 601 Elmwood Avenue, Rochester, 14642, NY.
J Clin Bioinforma. 2011 Apr 24;1(1):12. doi: 10.1186/2043-9113-1-12.
To identify non-invasive gene expression markers for chronic obstructive pulmonary disease (COPD), we performed genome-wide expression profiling of peripheral blood samples from 12 subjects with significant airflow obstruction and an equal number of non-obstructed controls. RNA was isolated from Peripheral Blood Mononuclear Cells (PBMCs) and gene expression was assessed using Affymetrix U133 Plus 2.0 arrays.Tests for gene expression changes that discriminate between COPD cases (FEV1< 70% predicted, FEV1/FVC < 0.7) and controls (FEV1> 80% predicted, FEV1/FVC > 0.7) were performed using Significance Analysis of Microarrays (SAM) and Bayesian Analysis of Differential Gene Expression (BADGE). Using either test at high stringency (SAM median FDR = 0 or BADGE p < 0.01) we identified differential expression for 45 known genes. Correlation of gene expression with lung function measurements (FEV1 & FEV1/FVC), using both Pearson and Spearman correlation coefficients (p < 0.05), identified a set of 86 genes. A total of 16 markers showed evidence of significant correlation (p < 0.05) with quantitative traits and differential expression between cases and controls. We further compared our peripheral gene expression markers with those we previously identified from lung tissue of the same cohort. Two genes, RP9and NAPE-PLD, were identified as decreased in COPD cases compared to controls in both lung tissue and blood. These results contribute to our understanding of gene expression changes in the peripheral blood of patients with COPD and may provide insight into potential mechanisms involved in the disease.
为了鉴定慢性阻塞性肺疾病(COPD)的非侵入性基因表达标志物,我们对12例有显著气流受限的受试者及数量相等的无气流受限对照者的外周血样本进行了全基因组表达谱分析。从外周血单个核细胞(PBMC)中分离RNA,并使用Affymetrix U133 Plus 2.0芯片评估基因表达。使用微阵列显著性分析(SAM)和差异基因表达贝叶斯分析(BADGE)对区分COPD病例(FEV1<预测值的70%,FEV1/FVC < 0.7)和对照者(FEV1>预测值的80%,FEV1/FVC > 0.7)的基因表达变化进行检测。在高严格度条件下(SAM中位FDR = 0或BADGE p < 0.01)使用任一检测方法,我们鉴定出45个已知基因存在差异表达。使用Pearson和Spearman相关系数(p < 0.05)将基因表达与肺功能测量值(FEV1和FEV1/FVC)进行相关性分析,确定了一组86个基因。共有16个标志物显示出与数量性状以及病例和对照者之间的差异表达存在显著相关性(p < 0.05)。我们进一步将外周基因表达标志物与我们之前从同一队列的肺组织中鉴定出的标志物进行比较。发现两个基因,RP9和NAPE-PLD,在COPD病例的肺组织和血液中与对照者相比均表达降低。这些结果有助于我们了解COPD患者外周血中的基因表达变化,并可能为该疾病潜在机制提供见解。