Urinary proteomics in obstructive sleep apnoea and obesity


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Background Obstructive sleep apnoea (OSA) is a common complication of obesity and can have a substantial negative impact on a patient's quality of life and risk of cardiovascular disease. The aim of this case–control study was to undertake discovery profiling of urinary peptides using capillary electrophoresis–mass spectrometry (CE‐MS) in obese subjects with and without OSA, without a history of coronary artery disease. Materials and methods Urinary samples were analysed by CE‐MS. Body composition and blood pressure measurements were recorded. Overnight polysomnography was conducted to confirm or refute OSA. OSA patients were naïve to continuous positive airway pressure treatment. Results Sixty‐one subjects with OSA (age 47 ± 9 years, BMI 43 ± 8 kg/m2) and 31 controls (age 49 ± 10 years, BMI 40 ± 5 kg/m2) were studied; P = ns for age and BMI. Apnoea–hypopnoea Index was higher in patients with OSA (24 ± 18·6) than controls without OSA (non‐OSA) (2·6 ± 1·1; P < 0·0001). Metabolic syndrome was present in 35 (57%) of those with OSA compared with 4 (13%) of controls (P < 0·0001). Twenty‐four polypeptides were candidates for differential distribution (P < 0·01), although these differences did not reach significance after multiple testing. Sequences were determined for eight peptides demonstrating origins from collagens and fibrinogen alpha. Conclusions In this study, we report for the first time, urinary proteomic profile analyses using CE‐MS in OSA and non‐OSA obese groups. The differences in urinary proteomic profiles prior to adjustment for multiple testing, with increased metabolic syndrome in obese OSA subjects, suggest that there may be a role for CE‐MS in characterising urinary profiles in severely obese populations with OSA.
Original languageEnglish
Pages (from-to)1104-1105
Number of pages11
JournalEuropean Journal of Clinical Investigation
Issue number11
Publication statusE-pub ahead of print - 30 Sept 2014


  • Obesity
  • obstructive sleep apnoea
  • urinary proteomics


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