Biomarker profiles across obstructive and non-obstructive lung function trajectories

<bold>Introduction:</bold> We recently presented lung function trajectories from a population-based cohort with annual spirometries in 993 obstructive and 993 non-obstructive individuals, spanning a decade. Three distinct trajectories were identified among obstructive subjects and two among non-obstructive. The extent to which these trajectories represent discrete endotypes is not clear. <bold>Aim:</bold> To explore a wide range of proposed biomarkers for lung function in samples collected at the onset of the identified trajectories. <bold>Methods:</bold> Collection of blood samples. Measurement of biomarkers; SLPI, hs-CRP, IL-6, IL-6R, IL-8, MMP-9, MMP-9/TIMP-1, SP-D, PAI-1, sRAGE, TIMP-1 and TNF-alpha. Non-parametric statistical tests. See also figure 1. <bold>Results:</bold> Biomarker data was available for 774 obstructive and 789 non-obstructive subjects. Among obstructive, significant differences between trajectories were found in IL-6, PAI-1, MMP-9, MMP-9/TIMP-1 and hs-CRP (p<0.001, p=0.018, p<0.001, p=0.001, p=0.002, respectively). In non-obstructive, IL-6, SP-D and SLPI displayed significant differences (p<0.001, p=0.007, p=0.016, respectively). <bold>Conclusions:</bold> Baseline biomarker profiles differ according to lung function trajectories in both obstructive and non-obstructive individuals, suggesting distinct pathophysiological processes that unfold over the decade following sample collection. These biomarkers may have prognostic utility for predicting lung function trajectory. <fig><object-id>erj;64/suppl_68/PA442/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig>