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Proteomic approaches for biomarker identification in chronic lung allograft dysfunction (CLAD) - 04/04/15

Doi : 10.1016/j.rmr.2015.02.078 
J. Claustre 1, 2, 3, 4, , 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, 3
1 Université Grenoble Alpes, IAB, PROMETHEE Proteomic Platform, Grenoble, France 
2 Inserm, IAB, PROMETHEE Proteomic Platform, Grenoble, France 
3 CHU de Grenoble, IAB, Institut de Biologie et de Pathologie, PROMETHEE Proteomic Platform, Grenoble, France 
4 Clinique Universitaire de Pneumologie, CHU de Grenoble, Grenoble, France 
5 Université Grenoble Alpes, TIMC-IMAG, Grenoble, France 
6 CNRS, TIMC-IMAG, Grenoble, France 
7 CHU de Grenoble, Laboratoire BEP, TIMC-IMAG, Grenoble, France 
8 Institut du Thorax, Inserm UMR1087, CNRS UMR629, Service de Pneumologie, CHU de Nantes DHU2020, Nantes, France 
9 Université de Nantes, Nantes, France 
10 Service de Pneumologie, CHU Vaudois, Lausanne, Switzerland 
11 Université de Lausanne, Lausanne, Switzerland 
12 Université Grenoble Alpes, LBFA, Grenoble, France 
13 Inserm, LBFA, Grenoble, France 
14 European Institute of Systems Biology and Medicine, Lyon, France 

Corresponding author.

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Résumé

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Broncho-alveolar lavage fluids (BAL) and plasmas withdrawn at month 6 and 12 after LT, in the 91 first patients of COLT cohort, were selected.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.

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Keywords : Infection, Inflammation


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© 2015  Publié par Elsevier Masson SAS.
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Vol 32 - N° 3

P. 336 - mars 2015 Retour au numéro
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