COPD Exacerbation Biomarkers Validated Using Multiple Reaction Monitoring Mass Spectrometry.



PloS one, 2016; 11 (8) doi:10.1371/journal.pone.0161129

Authors: Leung Janice M, Chen Virginia, Hollander Zsuzsanna, Dai Darlene, Tebbutt Scott J et al.(13)

Affiliation: St. Paul's Hospital, Vancouver, BC, Canada; St. Paul's Hospital, Vancouver, BC, Canada; St. Paul's Hospital, Vancouver, BC, Canada; St. Paul's Hospital, Vancouver, BC, Canada; St. Paul's Hospital, Vancouver, BC, Canada (show more (19))

Abstract: BACKGROUND: Acute exacerbations of chronic obstructive pulmonary disease (AECOPD) result in considerable morbidity and mortality. However, there are no objective biomarkers to diagnose AECOPD.
METHODS: We used multiple reaction monitoring mass spectrometry to quantify 129 distinct proteins in plasma samples from patients with COPD. This analytical approach was first performed in a biomarker cohort of patients hospitalized with AECOPD (Cohort A, n = 72). Proteins differentially expressed between AECOPD and convalescent states were chosen using a false discovery rate <0.01 and fold change >1.2. Protein selection and classifier building were performed using an elastic net logistic regression model. The performance of the biomarker panel was then tested in two independent AECOPD cohorts (Cohort B, n = 37, and Cohort C, n = 109) using leave-pair-out cross-validation methods.
RESULTS: Five proteins were identified distinguishing AECOPD and convalescent states in Cohort A. Biomarker scores derived from this model were significantly higher during AECOPD than in the convalescent state in the discovery cohort (p<0.001). The receiver operating characteristic cross-validation area under the curve (CV-AUC) statistic was 0.73 in Cohort A, while in the replication cohorts the CV-AUC was 0.77 for Cohort B and 0.79 for Cohort C.
CONCLUSIONS: A panel of five biomarkers shows promise in distinguishing AECOPD from convalescence and may provide the basis for a clinical blood test to diagnose AECOPD. Further validation in larger cohorts is necessary for future clinical translation.














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