SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease

被引：20

作者：

Gomes-Alves, Patricia ^{[1
]}

Imrie, Margaret ^{[2
]}

Gray, Robert D. ^{[2
]}

Nogueira, Paulo ^{[3
]}

Ciordia, Sergio ^{[4
]}

Pacheco, Paula ^{[5
]}

Azevedo, Pilar ^{[6
]}

Lopes, Carlos ^{[6
]}

de Almeida, Antonio Bugalho ^{[6
]}

Guardiano, Micaela ^{[7
]}

Porteous, David J. ^{[2
]}

Albar, Juan P. ^{[4
]}

Boyd, A. Christopher ^{[2
]}

Penque, Deborah ^{[1
]}

机构：

[1] INSA IP, Dept Genet, Lab Prote, P-1649016 Lisbon, Portugal

[2] Univ Edinburgh, Western Gen Hosp, Mol Med Ctr, Edinburgh, Midlothian, Scotland

[3] INSA IP, Dept Epidemiol, P-1649016 Lisbon, Portugal

[4] Univ Autonoma Madrid, CNB CSIC, Lab Prote, Madrid, Spain

[5] INSA IP, Dept Genet, Unidade Biol Mol, P-1649016 Lisbon, Portugal

[6] Hosp Santa Maria, Clin Univ Pneumol, Lisbon, Portugal

[7] Univ Porto, Hosp Sao Joao, P-4100 Oporto, Portugal

来源：

CLINICAL BIOCHEMISTRY | 2010年 / 43卷 / 1-2期

关键词：

CF; Asthma; COPD; Proteomics; SELDI-TOF-MS; Biomarkers signatures; FLIGHT MASS-SPECTROMETRY; PROTEOMIC PATTERNS; SERUM; DISCOVERY; PROTEIN; CFTR; TECHNOLOGY; CARCINOMA; CANCER; MS;

D O I：

10.1016/j.clinbiochem.2009.10.006

中图分类号：

R446 [实验室诊断]; R-33 [实验医学、医学实验];

学科分类号：

1001 ;

摘要：

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. (c) 2009 The Canadian Society of Clinical Chemists. Published by Elsevier Inc. All fights reserved.

引用

页码：168 / 177

页数：10

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