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

P. Gomes-Alves; M. Imrie; R. D. Gray; P. Nogueira; S. Ciordia; P. Pacheco; P. Azevedo; C. Lopes; A. B. de Almeida; M. Guardiano; D. J. Porteous; J. P. Albar; A. C. Boyd; D. Penque

doi:10.1016/j.clinbiochem.2009.10.006

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

P. Gomes-Alves, M. Imrie, R. D. Gray, P. Nogueira, S. Ciordia, P. Pacheco, P. Azevedo, C. Lopes, A. B. de Almeida, M. Guardiano, D. J. Porteous, J. P. Albar, A. C. Boyd, D. Penque

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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.

Original language	English
Pages (from-to)	168-177
Number of pages	10
Journal	Clinical Biochemistry
Volume	43
Issue number	1-2
DOIs	https://doi.org/10.1016/j.clinbiochem.2009.10.006
Publication status	Published - 2010

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10.1016/j.clinbiochem.2009.10.006

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Gomes-Alves, P., Imrie, M., Gray, R. D., Nogueira, P., Ciordia, S., Pacheco, P., Azevedo, P., Lopes, C., de Almeida, A. B., Guardiano, M., Porteous, D. J., Albar, J. P., Boyd, A. C., & Penque, D. (2010). SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease. Clinical Biochemistry, 43(1-2), 168-177. https://doi.org/10.1016/j.clinbiochem.2009.10.006

@article{df58f81b137a45529b642140ca4b49c8,

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

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.",

author = "P. Gomes-Alves and M. Imrie and Gray, {R. D.} and P. Nogueira and S. Ciordia and P. Pacheco and P. Azevedo and C. Lopes and {de Almeida}, {A. B.} and M. Guardiano and Porteous, {D. J.} and Albar, {J. P.} and Boyd, {A. C.} and D. Penque",

note = "Jan SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease Gomes-Alves, Patricia Imrie, Margaret Gray, Robert D Nogueira, Paulo Ciordia, Sergio Pacheco, Paula Azevedo, Pilar Lopes, Carlos de Almeida, Antonio Bugalho Guardiano, Micaela Porteous, David J Albar, Juan P Boyd, A Christopher Penque, Deborah Research Support, Non-U.S. Gov't United States Clinical biochemistry Clin Biochem. 2010 Jan;43(1-2):168-77. Epub 2009 Oct 20. eng",

year = "2010",

doi = "10.1016/j.clinbiochem.2009.10.006",

language = "English",

volume = "43",

pages = "168--177",

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Gomes-Alves, P, Imrie, M, Gray, RD, Nogueira, P, Ciordia, S, Pacheco, P, Azevedo, P, Lopes, C, de Almeida, AB, Guardiano, M, Porteous, DJ, Albar, JP, Boyd, AC & Penque, D 2010, 'SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease', Clinical Biochemistry, vol. 43, no. 1-2, pp. 168-177. https://doi.org/10.1016/j.clinbiochem.2009.10.006

TY - JOUR

T1 - SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease

AU - Gomes-Alves, P.

AU - Imrie, M.

AU - Gray, R. D.

AU - Nogueira, P.

AU - Ciordia, S.

AU - Pacheco, P.

AU - Azevedo, P.

AU - Lopes, C.

AU - de Almeida, A. B.

AU - Guardiano, M.

AU - Porteous, D. J.

AU - Albar, J. P.

AU - Boyd, A. C.

AU - Penque, D.

N1 - Jan SELDI-TOF biomarker signatures for cystic fibrosis, asthma and chronic obstructive pulmonary disease Gomes-Alves, Patricia Imrie, Margaret Gray, Robert D Nogueira, Paulo Ciordia, Sergio Pacheco, Paula Azevedo, Pilar Lopes, Carlos de Almeida, Antonio Bugalho Guardiano, Micaela Porteous, David J Albar, Juan P Boyd, A Christopher Penque, Deborah Research Support, Non-U.S. Gov't United States Clinical biochemistry Clin Biochem. 2010 Jan;43(1-2):168-77. Epub 2009 Oct 20. eng

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=72649099616&partnerID=8YFLogxK

U2 - 10.1016/j.clinbiochem.2009.10.006

DO - 10.1016/j.clinbiochem.2009.10.006

M3 - Article

SN - 0009-9120

VL - 43

SP - 168

EP - 177

JO - Clinical Biochemistry

JF - Clinical Biochemistry

IS - 1-2

ER -

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

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