SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease
| Autor: | Sergio Ciordia, Robert D. Gray, Paula Pacheco, Patrícia Gomes-Alves, M. Imrie, Juan P. Albar, Paulo Nogueira, Carlos Wilson Gomes Lopes, David J. Porteous, Deborah Penque, Micaela Guardiano, Pilar Azevedo, António Almeida, A. Christopher Boyd |
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| Rok vydání: | 2010 |
| Předmět: |
Adult
Male Proteomics Pathology medicine.medical_specialty Pancreatic disease Cystic Fibrosis Clinical Biochemistry Cystic fibrosis Pulmonary Disease Chronic Obstructive Young Adult SELDI-TOF-MS Humans COPD Medicine Aged Asthma Receiver operating characteristic business.industry Respiratory disease Area under the curve CF General Medicine Middle Aged Biomarkers signatures medicine.disease Doenças Genéticas Genómica Funcional e Estrutural Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Multivariate Analysis Biomarker (medicine) Female Determinantes da Saúde e da Doença business Biomarkers |
| Zdroj: | Clinical Biochemistry. 43:168-177 |
| ISSN: | 0009-9120 |
| DOI: | 10.1016/j.clinbiochem.2009.10.006 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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