ArticleProteomics. Clinical applications2026
Distinct Functional Signatures of Human Olfactory and Respiratory Mucus Revealed by Proteomics Combined With Machine Learning.
Article in Proteomics. Clinical applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundThe nasal cavity includestwo distinct epithelial regions: olfactory and respiratory which fulfilldifferent roles. Despite their differences, their mucus composition, however, is yet not well elucidated.
methodsTo analyze themucosal secretome, samples from the human olfactory mucus (OM) and respiratorymucus (RM) were collected in a volunteer study with 25 normosmic individualsand analyzed using label-free quantitative proteomics (LFQ), supervised machinelearning (Partial Least Squares Discriminant Analysis, PLS-DA), functionalenrichment via Gene Ontology (GO) and pathway analyses at Reactome database.
resultsA total of 1,780high-confidence proteins were quantified across 50 samples. The optimizedPLS-DA model achieved robust discrimination between OM and RM (AUC = 0.93 ±0.04), identifying distinct molecular signatures. Cross-validation across GO,Reactome, and PLS-DA macro-category analyses confirmed the robustness andbiological coherence of these findings.
conclusionsOverall, this study defines twocomplementary mucosal ecosystems: a dynamic olfactory mucus optimized for highmitochondrial activity, (non-motile) ciliary renewal, and autophagy, and animmune-active respiratory mucus specialized in host defense, providing acomprehensive molecular framework of nasal regional specialization.
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