1,721,130 research outputs found
Effects of sleep and wake on astrocytes: Clues from molecular and ultrastructural studies
Full text linkBackground: Astrocytes can mediate neurovascular coupling, modulate neuronal excitability, and promote synaptic maturation and remodeling. All these functions are likely to be modulated by the sleep/wake cycle, because brain metabolism, neuronal activity and synaptic turnover change as a function of behavioral state. Yet, little is known about the effects of sleep and wake on astrocytes.
Results: Here we show that sleep and wake strongly affect both astrocytic gene expression and ultrastructure in the mouse brain. Using translating ribosome affinity purification technology and microarrays, we find that 1.4 % of all astrocytic transcripts in the forebrain are dependent on state (three groups, sleep, wake, short sleep deprivation; six mice per group). Sleep upregulates a few select genes, like Cirp and Uba1, whereas wake upregulates many genes related to metabolism, the extracellular matrix and cytoskeleton, including Trio, Synj2 and Gem, which are involved in the elongation of peripheral astrocytic processes. Using serial block face scanning electron microscopy (three groups, sleep, short sleep deprivation, chronic sleep restriction; three mice per group, >100 spines per mouse, 3D), we find that a few hours of wake are sufficient to bring astrocytic processes closer to the synaptic cleft, while chronic sleep restriction also extends the overall astrocytic coverage of the synapse, including at the axon-spine interface, and increases the available astrocytic surface in the neuropil.
Conclusions: Wake-related changes likely reflect an increased need for glutamate clearance, and are consistent with an overall increase in synaptic strength when sleep is prevented. The reduced astrocytic coverage during sleep, instead, may favor glutamate spillover, thus promoting neuronal synchronization during non-rapid eye movement sleep
Region-Specific Dissociation between Cortical Noradrenaline Levels and the Sleep/ Wake Cycle
Full text linkThe activity of the noradrenergic system of the locus coeruleus (LC) is high in wake and low in sleep. LC promotes arousal and EEG activation, as well as attention, working memory, and cognitive flexibility. These functions rely on prefrontal cortex and are impaired by sleep deprivation, but the extent to which LC activity changes during wake remains unclear. Moreover, it is unknown whether noradrenergic neurons can sustain elevated firing during extended wake. Recent studies show that relative to LC neurons targeting primary motor cortex (M1), those projecting to medial prefrontal cortex (mPFC) have higher spontaneous firing rates and are more excitable. These results suggest that noradrenaline (NA) levels should be higher in mPFC than M1, and that during prolonged wake LC cells targeting mPFC may fatigue more
Sleep/wake dependent changes in cortical glucose concentrations.
No full textMost of the energy in the brain comes from glucose and supports glutamatergic activity. The firing rate of cortical glutamatergic neurons, as well as cortical extracellular glutamate levels, increase with time spent awake and decline throughout non rapid eye movement sleep, raising the question whether glucose levels reflect behavioral state and sleep/wake history. Here chronic (2-3 days) electroencephalographic recordings in the rat cerebral cortex were coupled with fixed-potential amperometry to monitor the extracellular concentration of glucose ([gluc]) on a second-by-second basis across the spontaneous sleep-wake cycle and in response to 3 h of sleep deprivation. [Gluc] progressively increased during non rapid eye movement sleep and declined during rapid eye movement sleep, while during wake an early decline in [gluc] was followed by an increase 8-15 min after awakening. There was a significant time of day effect during the dark phase, when rats are mostly awake, with [gluc] being significantly lower during the last 3-4 h of the night relative to the first 3-4 h. Moreover, the duration of the early phase of [gluc] decline during wake was longer after prolonged wake than after consolidated sleep. Thus, the sleep/wake history may affect the levels of glucose available to the brain upon awakening
Contribution of sleep to the repair of neuronal DNA double-strand breaks:evidence from flies and mice
Full text linkExploration of a novel environment leads to neuronal DNA double-strand breaks (DSBs). These DSBs are generated by type 2 topoisomerase to relieve topological constrains that limit transcription of plasticity-related immediate early genes. If not promptly repaired, however, DSBs may lead to cell death. Since the induction of plasticity-related genes is higher in wake than in sleep, we asked whether it is specifically wake associated with synaptic plasticity that leads to DSBs, and whether sleep provides any selective advantage over wake in their repair. In flies and mice, we find that enriched wake, more than simply time spent awake, induces DSBs, and their repair in mice is delayed or prevented by subsequent wake. In both species the repair of irradiation-induced neuronal DSBs is also quicker during sleep, and mouse genes mediating the response to DNA damage are upregulated in sleep. Thus, sleep facilitates the repair of neuronal DSBs
Transcriptome profiling of sleeping, waking, and sleep deprived adult heterozygous Aldh1L1–eGFP-L10a mice
Full text linkTranscriptomic studies revealed that hundreds of mRNAs show differential expression in the brains of sleeping relative to awake rats, mice, flies, and sparrows. Although these results have offered clues regarding the molecular consequences of sleep and sleep loss, their functional significance thus far has been limited. This is probably because the previous studies pooled transcripts from all brain cells, including neurons and glia. In Bellesi et al. (2015) [1], we used the translating ribosome affinity purification technology (TRAP) and microarray analysis to obtain a genome-wide mRNA profiling of astrocytes as a function of sleep and wake. We used bacterial artificial chromosome (BAC) transgenic mice expressing eGFP tagged ribosomal protein L10a under the promoter of the Aldh1L1 gene, a highly expressed astrocytic gene. Using this approach, we could extract only the astrocytic mRNAs, and only those already committed to be translated into proteins (L10a is part of the translational machinery).
Here, we report a detailed description of the protocol used in the study (Bellesi et al., 2015 [1]). Array data have been submitted to NCBI GEO under accession number (GSE69079)
SYSTEM AND METHOD FOR SLEEP SESSION MANAGEMENT BASED ON SLOW WAVE SLEEP ACTIVITY IN A SUBJECT
No full textProbabilistic characterization of sleep architecture: Home Based study on healthy volunteers
No full textThe quantification of sleep architecture has high clinical value for diagnostic purposes. While the clinical standard to assess sleep architecture is in-lab based polysomnography, higher ecological validity can be obtained with multiple sleep recordings at home. In this paper, we use a dataset composed of fifty sleep EEG recordings at home (10 per study participant for five participants) to analyze the sleep stage transition dynamics using Markov chain based modeling. The statistical analysis of the duration of continuous sleep stage bouts is also analyzed to identify the speed of transition between sleep stages. This analysis identified two types of NREM states characterized by fast and slow exit rates which from the EEG analysis appear to correspond to shallow and deep sleep respectively
Loss of sleep affects the ultrastructure of pyramidal neurons in the adolescent mouse frontal cortex
No full textStudy objective: The adolescent brain may be uniquely affected by acute sleep deprivation (ASD) and chronic sleep restriction (CSR), but direct evidence is lacking. We used electron microscopy to examine how ASD and CSR affect pyramidal neurons in the frontal cortex of adolescent mice, focusing on mitochondria, endosomes, and lysosomes that together perform most basic cellular functions, from nutrient intake to prevention of cellular stress.
Methods: Adolescent (1-mo-old) mice slept (S) or were sleep deprived (ASD, with novel objects and running wheels) during the first 6-8 h of the light period, chronically sleep restricted (CSR) for > 4 days (using novel objects, running wheels, social interaction, forced locomotion, caffeinated water), or allowed to recover sleep (RS) for ∼32 h after CSR. Ultrastructural analysis of 350 pyramidal neurons was performed (S = 82; ASD = 86; CSR = 103; RS = 79; 4 to 5 mice/group).
Results: Several ultrastructural parameters differed in S versus ASD, S versus CSR, CSR versus RS, and S versus RS, although the different methods used to enforce wake may have contributed to some of the differences between short and long sleep loss. Differences included larger cytoplasmic area occupied by mitochondria in CSR versus S, and higher number of secondary lysosomes in CSR versus S and RS. We also found that sleep loss may unmask interindividual differences not obvious during baseline sleep. Moreover, using a combination of 11 ultrastructural parameters, we could predict in up to 80% of cases whether sleep or wake occurred at the single cell level.
Conclusions: Ultrastructural analysis may be a powerful tool to identify which cellular organelles, and thus which cellular functions, are most affected by sleep and sleep loss
System and method for determining timing of sensory stimulation delivered to a subject during a sleep session
No full textThe present disclosure pertains to a system configured to detect transitions in sleep state of a subject during a sleep session; provide sensory stimulation to the subject with a timing based on the detected transitions in sleep state; subsequent to the sleep session, obtain reference indications of transitions in sleep state; compare the detected transitions in sleep state to the reference indications of transitions in sleep state during the sleep session; based on the comparison, adjust baseline sleep state criteria to enhance correlation between detected transitions in sleep state during the sleep session using the baseline sleep state criteria and the reference indications of transitions in sleep state during the sleep session; and subsequent to adjustment of the baseline sleep state criteria, utilize the adjusted baseline sleep state criteria to detect transitions in sleep state of the subject for the purpose of controlling the one or more sensory stimulators
- …
