Differential proteomic analysis of nasal polyps, chronic sinusitis, and normal nasal mucosa tissues.

OBJECTIVE: To compare protein expression in nasal polyps, chronic sinusitis, and normal nasal mucosa tissues using proteomic technology. DESIGN: Cross-sectional survey. SUBJECTS AND METHODS: Proteins extracted from the three kinds of tissues (seven samples per group) were separated by immobilized pH4-7 gradient two-dimensional gel electrophoresis (2-DE). PDQuest software was used to analyze 2-DE images, and the differentially expressed protein spots were identified with the use of both MALDI-TOF-MS and ESI-Q-TOF-MS. Of the differentially expressed proteins, Cu/ZnSOD and PLUNC were validated with the use of immunohistochemical tests. RESULTS: High-resolution, reproducible 2-DE patterns were obtained, and 30 differentially expressed protein spots were found. The intensity of Cu/ZnSOD and PLUNC differed significantly on immunohistochemical validation. CONCLUSION: These differentially expressed proteins are involved in airway inflammatory reaction, immune response, oxidative stress, and metabolic reaction after exposure to irritants. In the future, several of these proteins may prove useful for exploring the pathogenesis of nasal polyps and chronic sinusitis or as objective biomarkers for quantitatively monitoring disease progression or response to therapy.

Determination of differentially expressed proteins and it's significance among chronic sinusitis, nasal polyps and normal nasal mucosa / 中华耳鼻咽喉头颈外科杂志

<p><b>OBJECTIVE</b>To investigate the differentially expressed proteins among chronic sinusitis, nasal polyps and normal nasal mucosa by means of proteomic technology, and select the candidate biomarkers of chronic sinusitis and nasal polyps.</p><p><b>METHODS</b>Proteins extracted from chronic sinusitis, nasal polyps and normal nasal mucosa were separated and the differentially expressed proteins were identified by series of proteomic tools, including immobilized pH4-7 gradient two-dimensional sodium dodecyl sulfate polyacrylamide gel electrophoresis, modified coomassie brilliant blue staining, images scanning by the Image Scanner apparatus, PDQuest analysis software, peptide mass fingerprinting based on matrix-assisted laser desorption ionization time of flight mass spectrometry (MALDI-TOF-MS) by in-gel digestion extract, and Mascot searching in NCBInr and SWISS-PROT databases.</p><p><b>RESULTS</b>The 2-DE patterns with high resolution and reproducibility were obtained. The protein spots separated and visualized in chronic sinusitis, nasal polyps and normal nasal mucosa gel were 1020 +/- 40, 1112 +/- 10 and 1008 +/- 25, respectively. And the match rates were (93 +/- 2)%, (95 +/- 1)% [see text] (90 +/- 3)% respectively. Thirteen differentially expressed spots were found from chronic sinusitis, nasal polyps and normal nasal mucosa gel. We selected and recommend Keratin 8 and APOA1 proteins as candidate biomarkers of nasal polyps, and PLUNC protein, PACAP protein, NKEF-B and SOD as candidate biomarkers of chronic sinusitis.</p><p><b>CONCLUSIONS</b>The differentially expressed proteins among chronic sinusitis, nasal polyps and normal nasal mucosa can be efficiently and relatively reliably identified via the techniques of proteomics. These techniques will play a very important role in the researches for new objective indicators possibly employed in the future classifying, staging and prognosis.</p>