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Title: SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease
Author: Gomes-Alves, Patrícia
Imrie, Margaret
Gray, Robert D.
Nogueira, Paulo
Ciordia, Sergio
Pacheco, Paula
Azevedo, Pilar
Lopes, Carlos
De Almeida, António Bugalho
Guardiano, Micaela
Porteous, David J.
Albard, Juan P.
Boyd, A. Christopher
Penque, Deborah
Keywords: CF
Biomarkers signatures
Doenças Genéticas
Genómica Funcional e Estrutural
Determinantes da Saúde e da Doença
Issue Date: Jan-2010
Publisher: Elsevier
Citation: Clin Biochem. 2010 Jan;43(1-2):168-77. Epub 2009 Oct 20
Abstract: OBJECTIVES: The aim of this work was to establish protein profiles in serum and nasal epithelial cells of cystic fibrosis individuals in comparison with controls, asthma and chronic obstructive pulmonary disease patients for specific biomarker signatures identification. DESIGN AND METHODS: Protein extracts were analyzed by Surface Enhanced Laser Desorption/Ionization Time-Of-Flight Mass-Spectrometry (SELDI-TOF-MS). RESULTS: The mass spectra revealed a set of peaks with differential expression in serum and nasal cells among the different groups studied, resulting into peak signatures representative/specific of each pathology. Logistic regressions were applied to those peaks; sensitivity, specificity, Youden's indexes and area under the curve (AUC) of the respective receiver operating characteristic (ROC) curves were compared. DISCUSSION: Multivariate analysis demonstrated that combination of peaks has a better predictive value than the individual ones. These protein signatures may serve as diagnostic/prognostic markers for the studied diseases with common clinical features, or as follow-up assessment markers of therapeutic interventions.
Peer review: yes
ISSN: 0009-9120
Publisher Version:
Appears in Collections:DEP - Artigos em revistas internacionais
DGH - Artigos em revistas internacionais

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