Metabolomic analysis of severe COPD. Study of biomarkers in the CHAIN cohort

Introduction: We present the first data analysis from patients with COPD of the CHAIN cohort (COPD History Assessment In SpaiN). Material and Methods: It´s a subproject of transversal and longitudinal analysis of biomarkers. The first data of the metabolomic analysis of a subset of samples collected in the first year are presented, comparing 30 severe COPD and 30 smokers without COPD. The results were analyzed statistically with the SIMCA-PTM program to construct the principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) diagrams to compare the obtained metabolite profiles. Results: The PCA method did not differentiate the groups, but the supervised analysis of PLS-DA clearly differentiated smokers without COPD from patients with severe COPD (fig.1). We identified 25 altered metabolites, of which the five highest impact routes are highlighted in Table 1. Conclusions: The altered metabolites with the highest impact value in the ROC curves in patients with severe COP were cholesterol, inositol, glucose and phosphoric acid. The robustness of these findings will allow the longitudinal analysis of the sample and its predictive capacity.