Subtyping Chronic Obstructive Pulmonary Disease Using Peripheral Blood Proteomics.

ABSTRACT: Chronic obstructive pulmonary disease (COPD) is a heterogeneous disorder. COPD patients may have different clinical features, imaging characteristics and natural history. Multiple studies have investigated heterogeneity using statistical methods such as unsupervised clustering to define different subgroups of COPD based largely on clinical phenotypes. Some studies have performed clustering using genetic data or limited numbers of blood biomarkers. Our primary goal was to use proteomic data to find subtypes of COPD within clinically similar individuals. In the Treatment of Emphysema with a gamma-Selective Retinoid Agonist (TESRA) study, multiplex biomarker panels were run in serum samples collected prior to randomization. After implementing an algorithm to minimize missing values, the datas

SUBMITTER: Zarei S 

PROVIDER: S-EPMC5559108 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature