Serum proteomics signature of Cystic Fibrosis patients: A complementary 2-DE and LC-MS/MS approach

Nuno Charro, Brian L. Hood, Daniel Faria, Paula Pacheco, Pilar Azevedo, Carlos Lopes, António Bugalho de Almeida, Francisco M. Couto, Thomas P. Conrads*, Deborah Penque

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

25 Scopus citations


Complementary 2D-PAGE and 'shotgun' LC-MS/MS approaches were combined to identify medium and low-abundant proteins in sera of Cystic Fibrosis (CF) patients (mild or severe pulmonary disease) in comparison with healthy CF-carrier and non-CF carrier individuals aiming to gain deeper insights into the pathogenesis of this multifactorial genetic disease.78 differentially expressed spots were identified from 2D-PAGE proteome profiling yielding 28 identifications and postulating the existence of post-translation modifications (PTM).The 'shotgun' approach highlighted altered levels of proteins actively involved in CF: abnormal tissue/airway remodeling, protease/antiprotease imbalance, innate immune dysfunction, chronic inflammation, nutritional imbalance and Pseudomonas aeruginosa colonization. Members of the apolipoproteins family (VDBP, ApoA-I, and ApoB) presented gradually lower expression from non-CF to CF-carrier individuals and from those to CF patients, results validated by an independent assay. The multifunctional enzyme NDKB was identified only in the CF group and independently validated by WB. Its functions account for ion sensor in epithelial cells, pancreatic secretion, neutrophil-mediated inflammation and energy production, highlighting its physiological significance in the context of CF.Complementary proteomics-based approaches are reliable tools to reveal pathways and circulating proteins actively involved in a heterogeneous disease such as CF.

Original languageEnglish
Pages (from-to)110-126
Number of pages17
JournalJournal of Proteomics
Issue number1
StatePublished - 1 Jan 2011
Externally publishedYes


  • Cystic Fibrosis
  • Label-free proteomics
  • Serum proteome profiling
  • Shotgun LC-MS/MS


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