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The Influence of Sleep Deprivation on Hippocampal CA1 Gene Expression: Relation to Stress and Aging

ABSTRACT: Sleep deprivation (SD) in young adults is associated with metabolic, stress and cognitive responses that are also characteristic of brain aging. Given that sleep architecture changes with age, including increased fragmentation and decreased slow wave activity, it seems reasonable to investigate potential molecular relationships between SD and aging in brain tissue. Here, we tested the hypothesis that young rats exposed to 24 or 72 hour SD would respond with stress and aging-like shifts in brain hippocampal CA1 gene expression. SD animals showed blood corticosterone and weight changes consistent with a stress response. Microarray results, validated by Western blot and comparison to prior SD studies, pointed to disruptions in neurotransmission, sleep pressure signaling, and macromolecular synthesis. In a separate experiment, animals exposed to 24 or 72 hour novel environment stress recapitulated nearly one third of the SD transcriptional profile, particularly upregulated apoptotic and immune signaling pathways. Compared to aging (based on three previously published independent hippocampal aging studies), SD transcriptional profiles agreed for neurogenesis and energy pathways. However, immune signaling, glial activity, macromolecular synthesis and neuronal function all showed an SD profile that was, at least in part, opposed by aging. We conclude that while stress and SD have discrete molecular signatures, they do show a subset of highly similar changes. However, the same could not be said of aging and SD, where a similar subset of genes is changed, but in partially divergent directions. Finally, this work identifies presynaptic vesicular release and intercellular adhesion molecular signatures as novel targets for future SD-countering therapeutics.

ORGANISM(S): Rattus norvegicus

PROVIDER: GSE34424 | GEO | 2012/07/17

SECONDARY ACCESSION(S): PRJNA149553

REPOSITORIES: GEO

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Project description:Sleep deprivation (SD) in young adults is associated with metabolic, stress and cognitive responses that are also characteristic of brain aging. Given that sleep architecture changes with age, including increased fragmentation and decreased slow wave activity, it seems reasonable to investigate potential molecular relationships between SD and aging in brain tissue. Here, we tested the hypothesis that young rats exposed to 24 or 72 hour SD would respond with stress and aging-like shifts in brain hippocampal CA1 gene expression. SD animals showed blood corticosterone and weight changes consistent with a stress response. Microarray results, validated by Western blot and comparison to prior SD studies, pointed to disruptions in neurotransmission, sleep pressure signaling, and macromolecular synthesis. In a separate experiment, animals exposed to 24 or 72 hour novel environment stress recapitulated nearly one third of the SD transcriptional profile, particularly upregulated apoptotic and immune signaling pathways. Compared to aging (based on three previously published independent hippocampal aging studies), SD transcriptional profiles agreed for neurogenesis and energy pathways. However, immune signaling, glial activity, macromolecular synthesis and neuronal function all showed an SD profile that was, at least in part, opposed by aging. We conclude that while stress and SD have discrete molecular signatures, they do show a subset of highly similar changes. However, the same could not be said of aging and SD, where a similar subset of genes is changed, but in partially divergent directions. Finally, this work identifies presynaptic vesicular release and intercellular adhesion molecular signatures as novel targets for future SD-countering therapeutics. Subjects: Male Fischer 344 rats (3-5 months old, Harlan, Indianapolis): 37 in cohort 1 and 32 in cohort 2. Subjects were assigned to one of 5 treatment groups: Home Cage-HC n =17; 24 hour sleep deprivation- 24SD n = 16; 72 hour sleep deprivation- 72SD n = 20; 24 hour novel environment stress- 24NES n = 10; 72 hour novel environment stress- 72NES n = 6. Cohorts 1 and 2 were combined for microarray analyses. Sleep Deprivation: The multiple platform modification (Coenen and van Luijtelaar, 1985) of the classic 'flower pot' (Mendelson et al., 1974) technique in which animals are placed on an elevated platform over water was used. Pairs of SD animals (cage mates) were sleep deprived for 24 or 72 hours. Novel Environment Stress (NES): NES animals were exposed to a novel environment, but were not constrained from sleeping. These NES animals paralleled the sleep deprivation exposure duration (24 hour- n = 10, and 72 hour- n = 6). Tissue Isolation: On the day that animals were removed from the SD chambers, they were anesthetized with CO2 gas and decapitated. Brains were removed and immediately placed in oxygenated artificial cerebrospinal fluid (aCSF) containing (in mM) 114NaCl, 2.5 KCl, 2MgCl2, 30 NaHCO3, 10 Glucose and 2.2CaCl2. Hippocampi were dissected as described previously (Blalock et al., 2003; Kadish et al., 2009). Briefly, dissected hippocampi were immersed in 0C oxygenated aCSF and placed on a chilled glass petri dish. The CA1 region was dissected along the long axis of the hippocampus. CA1 tissue was flash frozen and stored at -80C until further use. Microarray Protocol: GCOS quality control measures of background signal (74.9 ¬± 2.1 cohort 1; 59.8 ¬± 2.3 cohort 2) and RawQ (2.3 ¬± 0.1 cohort 1; 1.9 ¬± 0.1 cohort 2), as well as a chip x chip correlation matrix of signal intensity data pointed to a global decrease in background signal intensity in Cohort 2. To control for this, each gene expression values for HC, 24SD and 72SD was standardized separately within cohort 1 and cohort 2, and then the two cohorts were combined. This retained the variability of each cohort, but removed the 'cohort effect' from the data. Pre-statistical filtering retained 'A' grade probe sets that were uniquely annotated (Affymetrix, June 2011) with gene symbols and had at least 6 presence calls across all 71 chips. This criterion was selected based on factorial analysis demonstrating < 5% probability of 6 or more chips being rated present for a given probe set by chance (Blalock, unpublished observations).

Project description:Background: Age-related cognitive deficits negatively affect quality of life and can presage serious neurodegenerative disorders. Despite sleep disruption’s well-recognized negative influence on cognition, and its prevalence with age, surprisingly few studies have tested sleep’s relationship to cognitive aging. Methodology: We measured sleep stages in young adult and aged F344 rats during inactive (enhanced sleep) and active (enhanced wake) periods. Animals were behaviorally characterized on the Morris water maze and gene expression profiles of their parietal cortices were taken. Principal Findings: Water maze performance was impaired, and inactive period deep sleep was decreased with age. However, increased deep sleep during the active period was most strongly correlated to maze performance. Transcriptional profiles were strongly associated with behavior and age, and were validated against prior studies. Bioinformatic analysis revealed increased translation and decreased myelin/ neuronal pathways. Conclusions: The F344 rat appears to serve as a reasonable model for some common sleep architecture and cognitive changes seen with age in humans, including the cognitively disrupting influence of active period deep sleep. Microarray analysis suggests that the processes engaged by this sleep are consistent with its function. Thus, active period deep sleep appears temporally misaligned but mechanistically intact, leading to the following: first, aged brain tissue appears capable of generating the slow waves necessary for deep sleep, albeit at a weaker intensity than in young. Second, this activity, presented during the active period, seems disruptive rather than beneficial to cognition. Third, this active period deep sleep may be a cognitively pathologic attempt to recover age-related loss of inactive period deep sleep. Finally, therapeutic strategies aimed at reducing active period deep sleep (e.g., by promoting active period wakefulness and/or inactive period deep sleep) may be highly relevant to cognitive function in the aging community. KEYWORDS: frontal cortex, rat, young or aged We implanted young and aged Fischer 344 rats (n = 6/ group) with wireless EEG, EMG and movement monitoring devices to measure sleep architecture. Animals were trained in the Morris water maze to assess cognitive function, and frontal cortices were removed for microarray analysis.sleep disruption and cognitive decline.

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The Influence of Sleep Deprivation on Hippocampal CA1 Gene Expression: Relation to Stress and Aging

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