https://doi.org/10.1140/epjs/s11734-023-00777-w
Regular Article
Sleep EEG oscillation associations with plasma amyloid-β42 in apneic adolescents: a cross section study
Scientific Centre for Family Health and Human Reproduction Problems, Timiryazev Str., 16, 664003, Irkutsk, Russian Federation
Received:
30
September
2022
Accepted:
25
January
2023
Published online:
3
February
2023
Obstructive sleep apnea (OSA) is very serious and multifactorial sleep disorder in both adults and children. Growing evidence suggests some pathophysiological links between OSA and cognitive decline or Alzheimer's disease (AD). Based on associations between sleep homeostasis alteration in OSA and cognition, here we evaluated potential relationships between plasma Aβ42 levels with biophysical properties of slow wave sleep (SWS) and sleep spindles (SSs) in adolescent samples which different in weight and the presence of OSA. One-night in-lab polysomnography and morning blood collection were performed to estimate sleep EEG oscillation patterns and measure plasma Aβ42 levels. SWS was significantly negatively correlated with plasma Aβ42 in OSA patients only (with and without obesity). Despite a significant association between all SSs parameters and Aβ levels in both obese group (OSA + and OSA−) stronger correlations were observed in obese OSA + patients. So, spindle number, density and duration were positively correlated with Aβ42 levels, and spindle amplitude and frequency were negatively correlated with they. There was only one strong positive correlation between plasma amyloid and spindle number in the OSA non-obese adolescents. Altered SW and spindles activity during sleep in OSA may represent an early dysfunction related to amyloid, possibly reflecting brain damage through hypoxia and metabolic stress, or increased amyloid secretion and reduced Aβ clearance. So, SWA and SSs play important role in neuroplasticity and memory consolidation and they may represent a putative mechanism by which amyloid impairs cognition, as well as rendering it potentially new biomarkers for early neuronal dysfunction in young age.
Brain Physiology Meets Complex Systems. Guest editors: Thomas Penzel, Teemu Myllylä, Oxana V. Semyachkina-Glushkovskaya, Alexey Pavlov, Anatoly Karavaev.
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© The Author(s), under exclusive licence to EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.