Chronic rhinosinusitis (CRS) is a heterogenous disease characterized by severe sinonasal inflammation and mucinous overproduction. We aimed to perform the in-depth proteomic analysis using nasal secretion for precise clustering of clinical and pathophysiological endotypes in CRS with patients.
Nasal secretion was obtained from the patients with simple deviated nasal septum, CRS only or CRS with nasal polyps using a 7 mm x 21 mm Whatman No. 42 filter paper. Mass spectrometry (high-resolution quadrupole Orbitrap LC-MS/MS) was used for quantitative proteomic profiling of 5 nasal fluid samples from each group. After processed using MaxQuant software 1.5, peptide lists were searched against the Human Uniprot FASTA database. Quantification was achieved using label-free quantification based on iBAQ (intensity Based Absolute Quntification) algorithms.
Over 1800 and 1600 proteins were identified and quantified from 15 individual nasal fluids, respectively. Ig alpha-1 chain C, S100A6, S100 A9, BPIFA1 and Mucin 5B were most abundant proteins in nasal secretion. A comparison analysis between polyp and non-polyp groups identified 480 differentially expressed proteins. Interestingly, many up-regulated proteins in polyp are involved in innate immune response, antibacterial humoral response, B cell activation, VEGF signaling, and apoptotic process. Mucin 5B, Lipocalin-1, Mucin 5AC and Arginase-1 were higher in CRS with nasal polyp than non-CRS patients (log2FC>3 and p<0.001).
Our data demonstrate the in-depth protein profiling in nasal secretion using the high-resolution proteomic analysis. The differential abundances of several proteins in CRS with nasal polyps may help to discover the novel biomarker for both screening and therapeutic decision.