Proteomic approaches for biomarker identification in chronic lung allograft dysfunction (CLAD) - 04/04/15
, C. Trocmé 5, 6, 7, S. Bourgoin-Voillard 1, 2, 3, H. Flamant-Waret 1, 2, 3, I. Bérard 1, 2, 3, B. Toussaint 5, 6, 7, K. Botturi-Cavaillès 8, 9, A. Magnan 8, 9, L. Nicod 10, 11, C. Pison 4, 12, 13, 14, M. Sève 1, 2, 3Resumen |
Introduction |
After lung transplantation (LT), survival is limited because of chronic lung allograft dysfunction (CLAD), an irreversible condition divided in 2 subtypes: bronchiolitis obliterans syndrome (BOS) and restrictive allograft syndrome (RAS). As a part of SysCLAD, an EU-funded FP7 project, this study aimed to identify predictive biomarkers of CLAD onset 3years after LT, by analysing samples from COLT cohort, a French prospective cohort of lung transplant recipients, with 2 proteomic approaches.
Methods |
Broncho-alveolar lavage fluids (BAL) and plasmas withdrawn at month 6 and 12 after LT, in the 91 first patients of COLT cohort, were selected. iTRAQ-MALDI MS/MS analysis allowed protein identification and quantification after pooling samples according to patients’ phenotype. SELDI-TOF MS approach completed biomarker identification by analyzing individual proteomic profiles.
Results |
Among 148 and 135 proteins identified in BAL at month 6 and 12, 28 were differentially expressed between CLAD and stable patients. One potential biomarker could predict CLAD onset with a sensitivity of 73% and a specificity of 81%. In plasma, among 187 and 213 proteins identified, 11 proteins were differentially expressed in CLAD, mainly involved in proteolysis, inflammation, complement cascade, innate and humoral immunity.
Conclusion |
All results will be further validated and integrated into a predictive computational model of CLAD built with clinical and experimental data: environment, microbiome, immunological assays, omics.
El texto completo de este artículo está disponible en PDF.Keywords : Infection, Inflammation


