| Literature DB >> 33652646 |
Giuliana Ferrante1, Rossana Rossi2, Giovanna Cilluffo3, Dario Di Silvestre2, Andrea Brambilla4, Antonella De Palma2, Chiara Villa4, Velia Malizia3, Rosalia Gagliardo3, Yvan Torrente4, Giovanni Corsello1, Giovanni Viegi3, Pierluigi Mauri2,5, Stefania La Grutta3.
Abstract
Urine proteomic applications in children suggested their potential in discriminating between healthy subjects from those with respiratory diseases. The aim of the current study was to combine protein fractionation, by urinary extracellular vesicle isolation, and proteomics analysis in order to establish whether different patterns of respiratory impedance in healthy preschoolers can be characterized from a protein fingerprint. Twenty-one 3-5-yr-old healthy children, representative of 66 recruited subjects, were selected: 12 late preterm (LP) and 9 full-term (T) born. Children underwent measurement of respiratory impedance through Forced Oscillation Technique (FOT) and no significant differences between LP and T were found. Unbiased clustering, based on proteomic signatures, stratified three groups of children (A, B, C) with significantly different patterns of respiratory impedance, which was slightly worse in group A than in groups B and C. Six proteins (Tripeptidyl peptidase I (TPP1), Cubilin (CUBN), SerpinA4, SerpinF1, Thy-1 membrane glycoprotein (THY1) and Angiopoietin-related protein 2 (ANGPTL2)) were identified in order to type the membership of subjects to the three groups. The differential levels of the six proteins in groups A, B and C suggest that proteomic-based profiles of urinary fractionated exosomes could represent a link between respiratory impedance and underlying biological profiles in healthy preschool children.Entities:
Keywords: extracellular vesicle; forced oscillation technique; preschooler healthy children; proteomics; urine fractionation
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Year: 2021 PMID: 33652646 PMCID: PMC7956503 DOI: 10.3390/molecules26051258
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411