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Long Wake/Short Sleep Bouts and Hyperactivity with Advanced Age in a Mouse Model of Early Onset Alzheimers Disease

Ryan K. TisdaleiD, Yu SuniD, Stephanie R. MilleriD, Stephanie M. LeeiD, Sunmee ParkiD, Jia ShiniD, Giancarlo AlloccaiD, Jorge J. PalopiD, Thomas S. KilduffiD

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Abstract

Poor sleep quality and reduced sleep duration are associated with Alzheimers disease (AD)-related {beta}-amyloid (A{beta}) pathologies. We conducted two studies of sleep/wake, activity and body temperature in AppNL-G-F mice, a strain that exhibits three mutations in the human App gene associated with elevated risk for early onset AD. First, AppNL-G-F mice were compared to wildtype (WT) littermates at 14-18 and 18-22 months of age and, at both ages, were found to exhibit more Wake and less NREM and REM sleep than WT littermates. This long wake/short sleep phenotype was evident during the dark phase at 14-18 months but occurred in both the light and dark phases at 18-22 months. AppNL-G-F mice had fewer short (260 sec) Wake bouts and were hyperactive at 18-22 months, which undoubtedly contributed to the increased Wake/reduced sleep. Despite this reduced sleep phenotype, AppNL-G-F mice were no sleepier than WT mice and the sleep homeostat was functional in both strains. In the second study, sex differences in these parameters were assessed at 18-24 months. Reduced sleep was evident in both sexes of AppNL-G-F mice but was clearly more evident in females. Wake and REM sleep bout durations were longer in both sexes of AppNL-G-F mice than in WT littermates. EEG spectral power during NREM sleep was reduced in female AppNL-G-F mice between 4.88-10.50 Hz compared to WT mice whereas, during REM sleep, both male and female AppNL-G-F mice exhibited reduced spectral power in the theta range. These results suggest that A{beta} deposition may impair state transition mechanism(s) in AppNL-G-F mice and demonstrate that, as in human AD patients, the long wake/short sleep phenotype was more evident in female AppNL-G-F mice, thus supporting the use of this strain as a model to investigate interventions that mitigate AD burden during early disease stages.

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