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  1. Research Outputs

A quantitative proteomic approach to identify significantly altered protein networks in the serum of patients with lymphangioleiomyomatosis (LAM)

Academic Article
Publication Date:
2014
Short description:
A quantitative proteomic approach to identify significantly altered protein networks in the serum of patients with lymphangioleiomyomatosis (LAM) / Banville, Nessa; Burgess, Janette Kay; Jaffar, Jade; Tjin, Gavin; Richeldi, Luca; Cerri, Stefania; Persiani, Elisa; Black, Judith L.; Oliver, Brian G.. - In: PLOS ONE. - ISSN 1932-6203. - 9:8(2014), pp. 1-9. [10.1371/journal.pone.0105365]
abstract:
Lymphangioleiomyomatosis (LAM) is a rare and progressive cystic lung condition affecting approximately 3.4-7.5/million women, with an average lag time between symptom onset and diagnosis of upwards of 4 years. The aim of this work was to identify altered proteins in LAM serum which may be potential biomarkers of disease. Serum from LAM patient volunteers and healthy control volunteers were pooled and analysis carried out using quantitative 4-plex iTRAQ technology. Differentially expressed proteins were validated using ELISAs and pathway analysis was carried out using Ingenuity Pathway Analysis. Fourteen proteins were differentially expressed in LAM serum compared to control serum (p<0.05). Further screening validated the observed differences in extracellular matrix remodelling proteins including fibronectin (30% decrease in LAM, p = 0.03), von Willebrand Factor (40% reduction in LAM, p = 0.03) and Kallikrein III (25% increase in LAM, p = 0.03). Pathway networks elucidated the relationships between the ECM and cell trafficking in LAM. This study was the first to highlight an imbalance in networks important for remodelling in LAM, providing a set of novel potential biomarkers. These understandings may lead to a new effective treatment for LAM in the future. © 2014 Banville et al.
Iris type:
Articolo su rivista
Keywords:
Adult; Aged; Blood Proteins; Female; Humans; Lymphangioleiomyomatosis; Male; Middle Aged; Proteomics; Signal Transduction; Protein Interaction Maps; Agricultural and Biological Sciences (all); Biochemistry, Genetics and Molecular Biology (all); Medicine (all)
List of contributors:
Banville, Nessa; Burgess, Janette Kay; Jaffar, Jade; Tjin, Gavin; Richeldi, Luca; Cerri, Stefania; Persiani, Elisa; Black, Judith L.; Oliver, Brian G.
Authors of the University:
CERRI Stefania
Handle:
https://iris.unimore.it/handle/11380/1109097
Full Text:
https://iris.unimore.it//retrieve/handle/11380/1109097/86189/journal.pone.0105365.pdf
Published in:
PLOS ONE
Journal
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http://www.plosone.org/article/fetchObject.action?uri=info%3Adoi%2F10.1371%2Fjournal.pone.0105365&representation=PDF
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