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Published ahead of print on September 24, 2009
Am. J. Respir. Crit. Care Med. 2009, doi:10.1164/rccm.200905-0765OC
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Submitted on May 21, 2009
Accepted on September 23, 2009

2D-DIGE Proteomic Approaches Reveal Urine Candidate Biomarkers in Pediatric Obstructive Sleep Apnea

David Gozal1*, Saeed Jortani2, Ayelet B Snow3, Leila Kheirandish-Gozal1, Rakesh Bhattacharjee3, Jinkwan Kim1, and Oscar Sans Capdevila3

1 Section of Pediatric Sleep Medicine, Department of Pediatrics, University of Chicago, Chicago, Illinois, United States, 2 Department of Pathology and Laboratory Medicine, University of Louisville, Louisville, Kentucky, United States, 3 Division of Sleep Medicine and Kosair Children's Hospital Research Institute, Department of Pediatrics, University of Louisville, Louisville, Kentucky, United States

* To whom correspondence should be addressed. E-mail: dgozal{at}peds.bsd.uchicago.edu.

Background: Sleep studies are laborious, expensive, inaccessible, and inconvenient for diagnosing OSA in children. Proteomic analyses may uncover specific protein clusters that are differentially expressed in urine of children with OSA. Subjects and Methods: Morning urine proteins from 60 children with polysomnographically-confirmed OSA and matched children with either primary snoring (PS; n=30) or controls (CO; n=30) were assessed with 2D-DIGE and mass spectroscopy. A total of 16 proteins that are differentially expressed in OSA were identified, and 7 were confirmed by either immunoblots or ELISA. Among the latter, receiver-operator curve analyses of urinary concentrations of uromodulin, urocortin 3, orosomucoid 1, and kallikrein assigned favorable predictive properties to these proteins. Furthermore, combinatorial approaches indicated that the presence of values beyond the calculated cut-off concentrations for ≥3 of the proteins yielded a sensitivity of 95% and a specificity of 100%. Conclusions: Proteomic approaches reveal that pediatric OSA is associated with specific and consistent alterations in urinary concentrations of specific protein clusters. Future studies aiming to validate this approach as a screening method of habitually snoring children appears warranted.


Key words: sleep apnea • children • proteomics • inflammation







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