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In-depth High-resolution Proteomic Analysis Using Nasal Secretions form Chronic Rhinosinusitis and Nasal Polyps
Sunday, March 5, 2017: 2:30 PM
Rooms B312-B313 (Georgia World Congress Center, Building B)
Mingyu Lee, , , , ,
Rationale:

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. 

Methods:

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.  

Results:

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). 

Conclusions:

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.