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Vol. 46. Issue 6.
Pages 288-293 (June 2010)
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Vol. 46. Issue 6.
Pages 288-293 (June 2010)
Original Article
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Variation in Protein Expression Depending on the Severity of Sleep Apnoea-Hypopnoea Syndrome
Variación de la expresión proteica en función de la gravedad del síndrome de apnea-hipopnea del sueño
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Bernabé Jurado Gámeza,
Corresponding author
bjg01co@hotmail.com

Corresponding author.
, José Luis Gómez-Chaparro Morenob,c, María Muñoz Calerod, Julia Ruiz Lagunab, Luis Muñoz Cabreraa, Andrés Cosano Povedanoa, Juan López-Bareab
a Servicio de Neumología, Unidad de Trastornos Respiratorios del Sueño, Hospital Universitario Reina Sofía, Córdoba, Spain
b Departamento de Bioquímica y Biología Molecular, Universidad de Córdoba, Córdoba, Spain
c Distrito Sanitario de Córdoba, Córdoba, Spain
d Servicio de Bioquímica Clínica, Hospital Universitario La Paz, Madrid, Spain
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Abstract
Objective

A prospective study with a consecutive sample and a control group to determine whether protein expression in patients with sleep apnoea-hypopnoea syndrome (SAHS) is different from that of the control group (IAH ≤ 5).

Patients and methods

A total of 32 patients aged between 35 and 60 years who had a polysomnograph performed were included. Patients with an acute or chronic disease were excluded. The first dimension of the proteomic study was carried out on IPG strips (18 cm, pH4–7) and the second on SDS-PAGE gels in triplicate for each group. The gels were stained with SYPRO-Ruby (Bio-Rad®), the images obtained with an FX-Imager laser scanner and the spots were analysed using ProteomWeaver v.4.0 (Bio-Rad®) software. Significant changes between the gels were analysed by replicates and separately, being considered a significant change if the relative intensity of the spots was three times higher or lower than that of the control and if it was observed in 2 of the 3 replicates of each group, with a coefficient of variation of <20%.

Results

The patients were divided into 8 subjects per group (control, mild, moderate and severe). The comparison of the gels showed significant differences between the control group and the 3 clinical groups, with significant over-expression being observed in 3 spots, and under-expression in 7 spots in the control group.

Conclusion

There are significant changes in protein expression between a control group and patients in different stages of disease. The proteomic study can identify biomarkers associated with the diagnosis and severity of the SAHS.

Keywords:
Bidimensional electrophoresis
Proteomics
Sleep apnoea syndrome
Resumen
Objetivo

Estudio prospectivo con muestreo consecutivo y grupo control para determinar si la expresión proteica en pacientes con SAHS es diferente a la de un grupo control (IAH r5).

Pacientes y métodos

Fueron incluidos 32 pacientes, entre 35 y 60 años, a los que se les realizó una polisomnografía. Fueron excluidos los sujetos con enfermedad aguda o crónica. La primera dimensión del estudio proteómico se realizó en tiras IPG (18 cm, pH 4-7), y la segunda, en geles SDS-PAGE por triplicado para cada grupo. Los geles se tiñeron con SYPRO-Ruby (Bio-Rad(), se obtuvieron las imágenes con un escáner láser FX-Imager, y el análisis de los spots se realizó con el software Proteom Weaver v4.0 (Bio-Rad(). Se analizaron los cambios significativos entre los geles agrupados por réplicas y por separado, considerándose un cambio significativo si la intensidad relativa en los spots fue superior o inferior en 3 veces a la del control y se observó en 2 de las 3 réplicas de cada grupo con un coeficiente de variación o 20%.

Resultados

Los pacientes fueron divididos en 8 sujetos por grupo (control, leve, moderado y grave). La comparación de los geles constató diferencias significativas entre el grupo control y los 3 grupos clínicos, observándose 3 spots con sobreexpresión significativa y 7 spots subexpresados respecto al grupo control.

Conclusión

Existen cambios significativos en la expresión protéica entre un grupo control y pacientes en distintos estadios de enfermedad. El estudio proteómico puede identificar biomarcadores relacionados con el diagnóstico y gravedad del SAHS.

Palabras clave:
Electroforesis bidimensional
Proteómica
Síndrome de apnea del sueño
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References
[1.]
J. Durán, S. Esnaola, R. Rubio, A. Iztueta.
Obstructive sleep apnea-hypopnea and related clinical features in a population-based sample of subjetc aged 30 to 70yr.
Am J Respir Crit Care Med, 163 (2001), pp. 685-689
[2.]
Grupo Español de Sueño Consenso Nacional sobre el síndrome de apneas-hipopneas del sueño.
Arch Bronconeumol, (2005), pp. 41
[3.]
P. Moore, W.A. Bardwell, S. Ancoli-Israel, J.E. Dimsdale.
Association between polysomnographic sleep measures and healt-related quality of life in obstructive sleep apnea.
Eur Sleep Res, 10 (2001), pp. 303-308
[4.]
C.F.P. George.
Sleep apnea, alertness, and motor vehicle crashes.
Am J Med Crit Care Med, 176 (2007), pp. 954-956
[5.]
J. Terán-Santos, A. Jiménez-Gómez, J. Cordero-Guevara.
The association between sleep apnea and the risk of traffic accidents. Cooperative Group Burgos-Santander.
N Engl J Med, 340 (1999), pp. 847-851
[6.]
J.F. Masa, M. Rubio, L.J. Findley.
Habitually sleepy drivers hare a high frequency of automobile crashes associated with respiratory disorders during sleep.
Am J Respir Crit Care Med, 162 (2000), pp. 1407-1412
[7.]
M. Yamauchi, H. Nakano, J. Maekawa, Y. Okamoto, Y. Ohnishi, T. Suzuki, et al.
Oxidative stress in obstructive sleep apnea.
Chest, 127 (2005), pp. 1674-1679
[8.]
C. Hernández, J. Durán-Cantolla, P. Lloberes, M. González.
Novedades en la epidemiología, la historia natural, el diagnóstico y el tratamiento del síndrome de apneas-hipopneas durante el sueño.
Arch Bronconeumol, 45 (2009), pp. 3-10
[9.]
A. Barceló, F. Barbé, M. de la Peña, M. Vila, G. Pérez, J. Piérolas, et al.
Antioxidant status in patients with sleep apnoea and impact of continuous positive airway pressure treatment.
Eur Respir J, (2006), pp. 756-760
[10.]
S. Martí, G. Sampol, X. Muñoz, F. Torres, A. Roca, P. Lloberes, et al.
Mortality in severe sleep apnoea-hypopnoea syndrome patients: impact of treatment.
Eur Respir J, 20 (2002), pp. 1511-1518
[11.]
H.K. Yaggi, J. Concato, W.N. Kernan, J.H. Lichtman, L.M. Brass, V. Mohsenin.
Obstructive sleep apnea as a risk factor for stroke and death.
N Engl J Med, 353 (2005), pp. 2034-2041
[12.]
J.M. Marín, S.J. Carrizo, F. Vicente, A. Agustí.
Long-term cardiovascular outcomes in men with obstructive sleep apnoea-hypopnoea with or without treatment with continuous positive airway pressure: an observational study.
Lancet, 365 (2005), pp. 1046-1053
[13.]
J. Durán-Cantolla, J. Mar, G. de la Torre Muñecas, R. Rubio Aramendi, L. Guerra.
El síndrome de apneas-hipopneas durante el sueño en España. Disponibilidad de recursos para su diagnóstico y tratamiento en los hospitales del Estado español.
Arch Bronconeumol, 40 (2004), pp. 259-267
[14.]
J.F. Masa, J.M. Monserrat, J. Durán, The Spanish Group of Breathing Sleep Disorders.
Diagnostic access for sleep apnea in Spain.
Am J Respir Crit Care, 170 (2004), pp. 195
[15.]
M.J. Rodríguez-Ortega, B.E. Grosvik, A. Rodríguez-Ariza, A. Goksoyr, J. López-Barea.
Changes in protein expression profiles in bivalve molluscs (Chamaelea gallina) exposed to four model environmental pollutants.
Proteomics, 3 (2003), pp. 1535-1543
[16.]
R. Montes Nieto, C.A. Fuentes-Almagro, D. Bonilla-Valverde, M.J. Prieto Álamo, J. Jurado, M. Carrascal, et al.
Proteomics in free-living Mus spretus to monitor terrestrial ecosystems.
Proteomics, 7 (2007), pp. 4376-4387
[17.]
S. Pütz, J. Reinder, Y. Reinder, A. Sickmann.
Mass Spectrometry-Based Peptide Quantification: Applications and limitations.
Expert Rev Proteomic, 2 (2005), pp. 381-392
[18.]
Z.A. Sahah, S.A. Jortani, R. Taiman, R. Valdes, D. Gozal.
Serum proteomic patterns associated with sleep-disordered breathing in children.
Pediatric Research, 59 (2006), pp. 466-470
[19.]
M.M. Bradford.
A rapid and sensitive for the quantitation of microgram quantitites of protein utilizing the principle of protein-dye binding.
Analytical Biochem, 72 (1976), pp. 248-254
[20.]
B.P. Bradley, E.A. Shrader, D.G. Kimmel, J.C. Meiller.
Protein expression signatures: an application of proteomics.
Mar Environ Res, 54 (2002), pp. 373-377
[21.]
A. Vioque-Fernández, E. Alves de Almeida, J. López-Barea.
Assessment of Doñana National Park contamination in Procambarus clarkii: Integration of conventional biomarkers and proteomic approaches.
Sci Total Environ, (2009), pp. 1784-1797
[22.]
E.P. Diamandis, D.E. Van der Merwe.
Plasma protein profiling by mass spectrometry for cancer diagnosis: opportunitis and limitations.
Clin Cancer Research, 11 (2005), pp. 963-965
[23.]
J.Y. Engwegen, M.C. Gast, J.H. Schellens, J.H. Beijnen.
Clinical proteomic: searching for better tumours markers wit SELDI-TOF mass spectrometry.
Trends Pharmacol Sci, 27 (2006), pp. 251-259
[24.]
R.D. Gray, G. MacGregor, D. Noble, M. Imrie, M. Dejar, A.C. Boyd, et al.
Sputum proteomics in inflamatory and suppurative respiratory diseases.
Am J Respir Crit Care Med, 178 (2008), pp. 444-452
[25.]
E. Kipnis, K. Hansen, T. Sawa, K. Moriyama, A. Zurawel, A. Ishizaka, et al.
Proteomic analysis of undiluted lung epithelial lining fluid.
Chest, 134 (2008), pp. 338-345
[26.]
W. Jacot, L. Lhermitte, N. Dossat, J.L. Pujol, N. Molinari, J.P. Daurès, et al.
Serum proteomic profiling of lung cancer in high-risk groups and determination of clinical outcomes.
J Torac Oncol, 3 (2008), pp. 840-850
[27.]
J. Maeda, T. Hirano, A. Ogiwara, S. Akimoto, T. Kawakami, Y. Fukui, et al.
Proteomic analysis of stage I primary lung adenocarcinoma aimed at individualisation of postoperative therapy.
B J Cancer, 98 (2008), pp. 596-603
[28.]
E.J. Lee, K.H. In, J.H. Kim, S.Y. Lee, C. Shin, J.J. Shum, et al.
Proteomic analysis in lung tissue of smokers and COPD patients.
Chest, 135 (2009), pp. 344-352
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