Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/24111
Appears in Collections:Aquaculture Journal Articles
Peer Review Status: Refereed
Title: Urinary proteomic profiling in severe obesity and obstructive sleep apnoea with CPAP treatment
Author(s): Seetho, Ian W
Ramirez-Torres, Adela
Albalat, Amaya
Mullen, William
Mischak, Harald
Parker, Robert J
Craig, Sonya
Duffy, Nick
Hardy, Kevin J
Burniston, Jatin G
Wilding, John P H
Contact Email: amaya.albalat@stir.ac.uk
Keywords: Obstructive sleep apnoea
Severe obesity
Urinary proteomics
CPAP
Issue Date: Apr-2015
Date Deposited: 26-Aug-2016
Citation: Seetho IW, Ramirez-Torres A, Albalat A, Mullen W, Mischak H, Parker RJ, Craig S, Duffy N, Hardy KJ, Burniston JG & Wilding JPH (2015) Urinary proteomic profiling in severe obesity and obstructive sleep apnoea with CPAP treatment. Sleep Science, 8 (2), pp. 58-67. https://doi.org/10.1016/j.slsci.2015.06.004
Abstract: Introduction:  Obstructive sleep apnoea (OSA) is common in obesity and is associated with cardiovascular and metabolic complications. Continuous positive airway pressure (CPAP) in OSA may lead to physiological changes reflected in the urinary proteome. The aim of this study was to characterise the urinary proteome in severely obese adult subjects with OSA who were receiving CPAP compared with severely obese subjects without OSA.  Methods:  Severely obese subjects with and without OSA were recruited. Subjects with OSA were receiving CPAP. Body composition and blood pressure measurements were recorded. Urinary samples were analysed by Capillary Electrophoresis-Mass Spectrometry (CE-MS).  Results:  Twenty-seven subjects with OSA-on-CPAP (age 49 + 7years, BMI 43 + 7kg/m2) and 25 controls without OSA (age 52+9years, BMI 39+4kg/m2) were studied. Age and BMI were not significantly different between groups. Mean CPAP use for OSA patients was 14.5 + 1.0 months. Metabolic syndrome was present in 14(52%) of those with OSA compared with 6(24%) of controls (p=0.039). A urinary proteome comprising 15 peptides was identified showing differential expression between the groups (p<0.01). Although correction for multiple testing did not reach significance, sequences were determined for 8 peptides demonstrating origins from collagens, fibrinogen beta chain and T-cadherin that may be associated with underlying cardiovascular disease mechanisms in OSA.  Conclusions:  The urinary proteome is compared in OSA with CPAP and without OSA in severe obesity. The effects of CPAP on OSA may lead to changes in the urinary peptides but further research work is needed to investigate the potential role for urinary proteomics in characteris­ing urinary peptide profiles in OSA. © 2015 Brazilian Association of Sleep.
DOI Link: 10.1016/j.slsci.2015.06.004
Rights: Copyright 2015 Brazilian Association of Sleep. Production and Hosting by Elsevier B.V. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Licence URL(s): http://creativecommons.org/licenses/by-nc-nd/4.0/

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