4.4 Article

Reduced Slow-Wave Sleep Is Associated with High Cerebrospinal Fluid Aβ42 Levels in Cognitively Normal Elderly

Journal

SLEEP
Volume 39, Issue 11, Pages 2041-2048

Publisher

OXFORD UNIV PRESS INC
DOI: 10.5665/sleep.6240

Keywords

Alzheimer disease; amyloid beta; sleep; prevention; elderly

Funding

  1. NIH/NIA/NHLBI [R01HL118624, R01HL111724, R21AG049348, R01AG035137, R01AG032554, R01AG022374, R01AG13616, R01AG1210]
  2. Foundation for Research in Sleep Disorders
  3. CTSI [UL1TR000038]
  4. American Sleep Medicine Foundation Junior Faculty Award, the Leon Levy Foundation [R01HL118624 1R21AG049348-01]
  5. Ministry of Economy and Competitiveness (MINECO), Spain [DPI2014-59049-R]
  6. Fisher & Paykel Healthcare
  7. Ventus Medical
  8. Swedish Research Council [14002]
  9. Grants-in-Aid for Scientific Research [15K16416] Funding Source: KAKEN

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Study Objectives: Emerging evidence suggests a role for sleep in contributing to the progression of Alzheimer disease (AD). Slow wave sleep (SWS) is the stage during which synaptic activity is minimal and clearance of neuronal metabolites is high, making it an ideal state to regulate levels of amyloid beta (A beta). We thus aimed to examine relationships between concentrations of A beta 42 in the cerebrospinal fluid (CSF) and measures of SWS in cognitively normal elderly subjects. Methods: Thirty-six subjects underwent a clinical and cognitive assessment, a structural MRI, a morning to early afternoon lumbar puncture, and nocturnal polysomnography. Correlations and linear regression analyses were used to assess for associations between CSF A beta 42 levels and measures of SWS controlling for potential confounders. Resulting models were compared to each other using ordinary least squared linear regression analysis. Additionally, the participant sample was dichotomized into high and low A beta 42 groups to compare SWS bout length using survival analyses. Results: A significant inverse correlation was found between CSF A beta 42 levels, SWS duration and other SWS characteristics. Collectively, total SWA in the frontal lead was the best predictor of reduced CSF A beta 42 levels when controlling for age and ApoE status. Total sleep time, time spent in NREM1, NREM2, or REM sleep were not correlated with CSF A beta 42. Conclusions: In cognitively normal elderly, reduced and fragmented SWS is associated with increases in CSF A beta 42, suggesting that disturbed sleep might drive an increase in soluble brain A beta levels prior to amyloid deposition.

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