Browsing by Author "Marques, Catarina de Almeida"
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- Molecular effects of continuous positive airway pressure therapy in patients with obstructive sleep apnea: a proteomics approachPublication . Marques, Catarina de Almeida; Power, DeborahObstructive sleep apnea (OSA) is a common public health concern in many countries, including Portugal, causing deleterious effects on metabolic and cardiovascular health. There are still, however, gaps in scientific and clinical knowledge in this field. Continuous positive airway pressure (CPAP) is considered the first line treatment in OSA, reducing co-morbidities and associated societal consequences such as accidents and cognitive impairment. However, residual sleepiness may persist in some patients and most chronic consequences of OSA may not be fully reversed by CPAP treatment. Therefore, studies are needed to estimate the reversible effects of CPAP (differences pre- to post-CPAP treatment) and irreversible effects of OSA, in other words, estimate the difference between patients with non-treated OSA and patients after effective treatment, when compared to controls. The objective of this study was to evaluate, using a proteomic approach, the molecular effect of the therapeutic benefit and/or side effects of continuous positive airway pressure treatment in red blood cells of OSA patients with comorbidities, namely diabetes. Notwithstanding the focus on RBCs, plasma samples were also further analyzed to make the results more robust. The results of the study have shown that PRDX2 is highly modulated in OSA patients with or without diabetes, and is associated with OSA’s severity and metabolic status. We reported higher hyperoxidation of RBC PRDX2 oligomeric forms in diabetic OSA patients, and also higher hyperoxidation of plasma PRDX2 and PRX 1/4 in this same group. CPAP benefits, including glycemic control, may correlate with RBC PRDX2 oligomeric redox-state associated with chaperone activity, and with decrease of plasma PRDXs stress-induced inflammation pathways. PRDX2 is a promising biomarker candidate for OSA severity and metabolic status.