| Literature DB >> 32266843 |
Peter Valentin Tomazic1, Barbara Darnhofer2,3, Ruth Birner-Gruenberger2,3,4.
Abstract
Introduction: Nasal mucus is the first line defense barrier against various pathogens including allergens. Proteins in nasal mucus maybe used as biomarkers for diagnosis or future therapeutic strategies. Proteomics opens the possibility to investigate whole human proteomes.Areas Covered: We aimed to analyze the existing literature on nasal mucus and nasal secretions proteomic approaches especially in allergic rhinitis. A PubMed/Medline search was conducted entering the following keywords and combinations: "nasal mucus", "nasal lavage fluid," nasal secretions," "nasal swabs," "allergic rhinitis," "proteins," and "proteomics."Expert opinion: The majority of studies focus on single proteins or protein groups mainly using ELISA techniques. Four studies met the criteria using mass spectrometry in the analysis of nasal mucus proteomes in rhinologic diseases. In these studies, 7, 35, 267, and 430 proteins were identified, respectively. These four studies are discussed in this review and put in relation to seven other proteomic studies that focus on nasal lavage fluid and nasal secretions obtained by swabs or filter paper. To put it in a nutshell, proteomics facilitates the investigation of the nasal secretome and its role in healthy and diseased state and as potential biomarkers for new diagnostic or therapeutic approaches.Entities:
Keywords: Nasal mucus; mass spectrometry; proteomics
Year: 2020 PMID: 32266843 PMCID: PMC7261402 DOI: 10.1080/14789450.2020.1748502
Source DB: PubMed Journal: Expert Rev Proteomics ISSN: 1478-9450 Impact factor: 3.940
Summary of current nasal secretion proteomics studies.
| Patients | Sampling | Proteomics technique | Identified proteins | Reference |
|---|---|---|---|---|
| Chronic rhinosinusitis (CRS) patients (N = 4 and 6) and healthy controls (N = 4 and 6) | Nasal mucus by suction | Isobaric tags (iTRAQ), MRM; QTRAP | 35 (7 validated) | Tewfik [ |
| Allergic rhinitis patients (N = 29) and healthy controls (N = 29) | Nasal mucus by suction | Spectral counting; LTQ-FT-ICR | 267 | Tomazic [ |
| Allergic rhinitis patients (N = 10) and healthy controls (N = 12) in and out of season | Nasal mucus by suction | Label free quantitation of precursor ion intensities; LTQ-FT-ICR | 430 | Tomazic [ |
| Healthy controls (N = 10) | NLF | Identification; Q-TOF | 110 | Casado [ |
| Allergic rhinitis patients (N = 6) and healthy controls (N = 5) | NLF | 2DE, MALDI-TOF | 20 | Ghafouri [ |
| Nonpolypoid AR (N = 9) and CRS | NLF | Identification; LTQ | 202 and 163 | Benson [ |
| Allergic rhinitis patients (N = 40) | NLF | Isobaric tags (TMT); LTQ-Orbitrap | 953 | Wang [ |
| Allergic and nonallergic rhinitis patients (N = 8 and 7) and healthy controls (N = 7) | Nasal fluid by swab | MALDI-TOF profiling | - | Lombardo [ |
| Allergic rhinitis patient (N = 1) and healthy controls (N = 8) | Nasal fluid by swab | MALDI-TOF profiling | 11 | Preiano [ |
| CRS patients (N = 10 with and 10 without nasal polyp) and healthy controls (N = 10) | Nasal fluid by filter paper | DDA (label free quantitation of precursor ion intensities) and DIA; Q-Orbitrap | 2020 | Kim [ |
Figure 1.Significantly enriched biological processes compared to total human proteome in healthy controls (HC) in season (a), in allergic patients (AR) in season (b) as well as in HC out of season (c) and in AR out of season (d).