Comparison of mucus and serum biomarker sampling in chronic rhinosinusitis with nasal polyps

Abstract

AbstractObjectiveThe objective of this study was to analyze advantages and disadvantages of mucus and serum for biomarker analysis.MethodsThis study includes prospective study of 61 CRS with nasal polyps patients who were followed over 24 months and over nine time points after functional endoscopic sinus surgery. At each time points, the nasal polyp score (NPS) was assessed and mucus as well as serum was collected. Selected were measured in mucus and serum. Mean, standard deviation and variance, undetectable values, and the correlation of the biomarkers to the NPS over time and to early recurrences were calculated, and the effect of surgery on the biomarkers was assessed. Additionally, the diurnal rhythm of all biomarkers was measures in order to assure stable biomarker values during sampling times.ResultsAll biomarkers showed stable values during sampling times. Serum biomarker levels displayed higher percentages of undetectable values compared to mucus biomarkers. Mucus periostin (p < 0.001, r = 0.89), mucus IgE (p < 0.001, r = 0.51), serum periostin (p < 0.001, r = 0.53), mucus CST1 (p < 0.001, r = 0.27), and serum IgE (p < 0.01, r = −0.18) were the best marker and medium combinations to track the NPS over time and to predict recurrences. Mucus serpinF2 was negatively correlated and predicted early recurrences (p = 0.026, R2 = 0.015).ConclusionsSerum and mucus both represent viable mediums for “liquid biopsies.” The most promising biomarker/medium combinations over time to track disease severity were mucus periostin, mucus IgE, serum periostin, mucus CST1, and serum IgE. Mucus serpinF2 was the best biomarker to predict early recurrences.