Friday, 13 December 2013
Michigan Ballroom (Westin - Michigan Avenue)
Pierluigi Mauri
,
OMICS Lab CNR, Milano, Italy
Annamaria Riccio
,
Genoa University, Dept Of Internal Medicine Allergy and Respiratory Diseases, Genoa, Italy
Rossana Rossi
,
OMICS Lab CNR, Milano, Italy
Dario Di Silvestri
,
OMICS Lab CNR, Milano, Italy
Louise Benazzi
,
OMICS Lab CNR, Milano, Italy
Laura De Ferrari
,
Genoa University, Dept Of Internal Medicine Allergy and Respiratory Diseases, Genoa, Italy
Roberto W Dal Negro
,
CMS Verona, Verona, Italy
G. Walter Canonica
,
Genoa University, Dept Of Internal Medicine Allergy and Respiratory Diseases, Genoa, Italy
Background: A significant effect of Omalizumab treatment on bronchial remodeling modulation(reduction of Reticular Basal Membrane-RBM- thickening) by means of histological evaluation of bronchial biopsies was documented after therapy (Riccio et al. 2012). But we surprisingly found two groups , Responders-R (reduction of tickening of RBM) and Non Responders-NR (increasing or stable RBM). We then applied the proteomic analysis to the bronchial specimens. We used MudPIT (Multidimensional Protein Identification Technology) proteomic approach, a highthroughput methodology that allows the identification of hundreds/thousands of proteins for a single complex sample, evaluation of differential abundance
, characterization of involved molecular pathways and sub-typing diseases (Brambilla et al., 2012).
Methods: Eight patients were studied (7 non smoker; 3 females; range of age 40-62 years; mean age 47.0±9.7sd;mean BMI 23.8±3.1sd; mean total plasma IgE 309.4 IU/l±218.2sd; mean FEV1 56.2%pred±14.5sd; ACT score 11.1±2.9sd) suffering from severe persistent atopic asthma treated by Omalizumab for 12 months.
The identificationof the proteins (over 800) obtained by MudPIT plus the Hierarchical clustering identified some possible markers, including periostin. The identified proteins were plotted into the interactomic networks by means of Cytoscape software and its plug-in, permitting to identify the main metabolic clusters involved in the NRvs R differentiation.
Results: The major differences between R and NR were detected in the Extra Cellular Matrix group of proteins. Among them, Galectin-3 (Gal-3), a IgE binding protein. Gal-3 is a regulatory molecule acting at variuos stages from acute to chronic inflammation and tissue fibrogenesis. It was able to define the two groups, being present in all the R patients and absent in NR ones. These data were confirmed by immunochemistry on those same biopsies.
Conclusions: Galectin 3 can be considered a reliable biomarker to predict modulation of airways remodeling in severe asthma patients treated with omalizumab.
Aknowledgements: partially supported by ARMIA-Genova Italy and Novartis Italy
