학술논문
Relationships between objectives sleep parameters and brain amyloid load in subjects at risk for Alzheimer's disease: the INSIGHT-preAD Study
ORIGINAL ARTICLE
ORIGINAL ARTICLE
Document Type
Report
Author
Source
SLEEP. September 2019, Vol. 42 Issue 9, p1O, 9 p.
Subject
Language
English
ISSN
0161-8105
Abstract
Introduction Evidence is growing that sleep quality may have an impact on transition between presymptomatic and clinical stage of Alzheimer's disease (AD). Two recent meta-analyses summarized this hypothesis. The first [...]
Study Objectives: Sleep changes have been associated with increased risks of developing cognitive disturbances and Alzheimer's disease (AD). A bidirectional relation is underlined between amyloid-beta (AB) and sleep disruptions. The sleep profile in participants at risk to develop AD is not fully deciphered. We aim to investigate sleep-wake changes with objective sleep measurements in elderly participants without cognitive impairment depending on their brain amyloid status, positive (AB+) or negative (AB-) based on standard absorption ratios (SUVr) positron emission tomography-florbetapir imaging. Methods: Sixty-eight participants without cognitive impairment who have accepted to be involved in the sleep ancillary study from the InveStIGation of Alzheimer's Predictors in Subjective Memory Complainers (INSIGHT-pre AD) cohort, aiming to record sleep profile based on the analyses of an ambulatory accelerometer-based assessment (seven consecutive 24-hour periods). Neuropsychological tests were performed and sleep parameters have been individualized by actigraph. Participants also underwent a magnetic resonance imaging scan to assess their hippocampal volume. Based on SUVr PET-florbetapir imaging, two groups AB+ and AB- were compared. Results: Participants were divided into two groups: AB+ (n = 24) and AB- (n = 44). Except for the SUVr, the two subgroups were comparable. When looking to sleep parameters, increased sleep latency, sleep fragmentation (wake after sleep onset [WASO] score and awakenings) and worst sleep efficiency were associated with cortical brain amyloid load. Conclusion: Actigraphic sleep parameters were associated with cortical brain amyloid load in participants at risk to develop AD. The detection of sleep abnormalities in those participants may be of interest to propose some preventive strategies. Key words: sleep; sleep/wake patterns; brain amyloid load; Alzheimer's disease; actigraphy; PET- amyloid; biomarkers; florbetapir; MRI neuroimaging
Study Objectives: Sleep changes have been associated with increased risks of developing cognitive disturbances and Alzheimer's disease (AD). A bidirectional relation is underlined between amyloid-beta (AB) and sleep disruptions. The sleep profile in participants at risk to develop AD is not fully deciphered. We aim to investigate sleep-wake changes with objective sleep measurements in elderly participants without cognitive impairment depending on their brain amyloid status, positive (AB+) or negative (AB-) based on standard absorption ratios (SUVr) positron emission tomography-florbetapir imaging. Methods: Sixty-eight participants without cognitive impairment who have accepted to be involved in the sleep ancillary study from the InveStIGation of Alzheimer's Predictors in Subjective Memory Complainers (INSIGHT-pre AD) cohort, aiming to record sleep profile based on the analyses of an ambulatory accelerometer-based assessment (seven consecutive 24-hour periods). Neuropsychological tests were performed and sleep parameters have been individualized by actigraph. Participants also underwent a magnetic resonance imaging scan to assess their hippocampal volume. Based on SUVr PET-florbetapir imaging, two groups AB+ and AB- were compared. Results: Participants were divided into two groups: AB+ (n = 24) and AB- (n = 44). Except for the SUVr, the two subgroups were comparable. When looking to sleep parameters, increased sleep latency, sleep fragmentation (wake after sleep onset [WASO] score and awakenings) and worst sleep efficiency were associated with cortical brain amyloid load. Conclusion: Actigraphic sleep parameters were associated with cortical brain amyloid load in participants at risk to develop AD. The detection of sleep abnormalities in those participants may be of interest to propose some preventive strategies. Key words: sleep; sleep/wake patterns; brain amyloid load; Alzheimer's disease; actigraphy; PET- amyloid; biomarkers; florbetapir; MRI neuroimaging