P2X7 receptor knockout mice display less aggressive biting behaviour correlating with increased brain activation in the piriform cortex.

P2X7 receptors are implicated in the pathophysiology of psychiatric conditions such as depression and bipolar disorder. P2X7 receptors regulate the release of pro-inflammatory cytokines from microglia, and gain-of-function P2X7 mutations may contribute to the neuroinflammation found in affective disorders. However, the role of this receptor in mediating other mental health conditions and aberrant behaviours requires further examination. The current study we investigated the effects of germline genetic deletion of P2xr7 on social and marble burying behaviours in mice throughout the critical adolescent developmental period. Marble burying behaviour is thought to provide a mouse model of obsessive-compulsive disorder (OCD). We also characterised the effects of P2rx7 deletion on aggressive attack behaviour in adult mice and subsequently quantifieded microglial cell densities and c-Fos expression, a marker of neuronal activation. P2rx7 knockout mice displayed reduced OCD-related marble burying behaviour which was most pronounced in late adolescence/early adulthood. P2rx7 knockout mice also exhibited reduced aggressive attack behaviours in adulthood in the resident-intruder test. Reduced aggression in P2xr7 knockout mice did not coincide with changes to microglial cell densities, however c-Fos expression was elevated in the piriform cortex of P2rx7 knockout mice compared to wildtype mice. This study suggests that the P2X7 receptor might serve as a novel target for serenic or anti-OCD therapeutics.

Microglial cell hyper-ramification and neuronal dendritic spine loss in the hippocampus and medial prefrontal cortex in a mouse model of PTSD.

Few animal models exist that successfully reproduce several core associative and non-associative behaviours relevant to post-traumatic stress disorder (PTSD), such as long-lasting fear reactions, hyperarousal, and subtle attentional and cognitive dysfunction. As such, these models may lack the face validity required to adequately model pathophysiological features of PTSD such as CNS grey matter loss and neuroinflammation. Here we aimed to investigate in a mouse model of PTSD whether contextual fear conditioning associated with a relatively high intensity footshock exposure induces loss of neuronal dendritic spines in various corticolimbic brain regions, as their regression may help explain grey matter reductions in PTSD patients. Further, we aimed to observe whether these changes were accompanied by alterations in microglial cell number and morphology, and increased expression of complement factors implicated in the mediation of microglial cell-mediated engulfment of dendritic spines. Adult male C57Bl6J mice were exposed to a single electric footshock and subsequently underwent phenotyping of various PTSD-relevant behaviours in the short (day 2-4) and longer-term (day 29-31). 32 days post-exposure the brains of these animals were subjected to Golgi staining of dendritic spines, microglial cell Iba-1 immunohistochemistry and immunofluorescent staining of the complement factors C1q and C4. Shock exposure promoted a lasting contextual fear response, decreased locomotor activity, exaggerated acoustic startle responses indicative of hyperarousal, and a short-term facilitation of sensorimotor gating function. The shock triggered loss of dendritic spines on pyramidal neurons was accompanied by increased microglial cell number and complexity in the medial prefrontal cortex and dorsal hippocampus, but not in the amygdala. Shock also increased expression of C1q in the pyramidal layer of the CA1 region of the hippocampus but not in other brain regions. The present study further elaborates on the face and construct validity of a mouse model of PTSD and provides a good foundation to explore potential molecular interactions between microglia and dendritic spines.

Dysregulated sleep-wake cycles in young people are associated with emerging stages of major mental disorders.

AIM: To determine if disturbed sleep-wake cycle patterns in young people with evolving mental disorder are associated with stages of illness. METHODS: The sleep-wake cycle was monitored using actigraphy across 4 to 22 days. Participants (21 healthy controls and 154 persons seeking help for mental health problems) were aged between 12 and 30 years. Those persons seeking mental health care were categorized as having mild symptoms (stage 1a), an 'attenuated syndrome' (stage 1b) or an 'established mental disorder' (stage 2+). RESULTS: The proportions of individuals with a delayed weekdays sleep schedule increased progressively across illness stages: 9.5% of controls, 11.1% of stage 1a, 25.6% of stage 1b, and 50.0% of stage 2+ (χ(2) (3 d.f.) = 18.4, P < 0.001). A similar pattern was found for weekends (χ(2) (3 d.f.) = 7.6, P = 0.048). Compared with controls, stage 1b participants had later sleep onset on weekends (P = 0.015), and participants at stages 1b and 2+ had later sleep offset on both weekdays and weekends (P < 0.020). Compared with controls, all participants with mental disorders had more wake after sleep onset (P < 0.029) and those at stages 1a and 2+ had lower sleep efficiency (P < 0.040). Older age, medicated status and later weekdays sleep offset were found to be the three strongest correlates of later versus earlier clinical stages. CONCLUSIONS: In relation to clinical staging of common mental disorders in young people, the extent of delayed sleep phase is associated with more severe or persistent phases of illness.

Ambulatory sleep-wake patterns and variability in young people with emerging mental disorders.

BACKGROUND: The nature of sleep-wake abnormalities in individuals with mental disorders remains unclear. The present study aimed to examine the differences in objective ambulatory measures of the sleep-wake and activity cycles across young people with anxiety, mood or psychotic disorders. METHODS: Participants underwent several days of actigraphy monitoring. We divided participants into 5 groups (control, anxiety disorder, unipolar depression, bipolar disorder, psychotic disorder) according to primary diagnosis. RESULTS: We enrolled 342 participants aged 12-35 years in our study: 41 healthy controls, 56 with anxiety disorder, 135 with unipolar depression, 80 with bipolar disorder and 30 with psychotic disorders. Compared with the control group, sleep onset tended to occur later in the anxiety, depression and bipolar groups; sleep offset occurred later in all primary diagnosis groups; the sleep period was longer in the anxiety, bipolar and psychosis groups; total sleep time was longer in the psychosis group; and sleep efficiency was lower in the depression group, with a similar tendency for the anxiety and bipolar groups. Sleep parameters were significantly more variable in patient subgroups than in controls. Cosinor analysis revealed delayed circadian activity profiles in the anxiety and bipolar groups and abnormal circadian curve in the psychosis group. LIMITATIONS: Although statistical analyses controlled for age, the sample included individuals from preadolescence to adulthood. Most participants from the primary diagnosis subgroups were taking psychotropic medications, and a large proportion had other comorbid mental disorders. CONCLUSION: Our findings suggest that delayed and disorganized sleep offset times are common in young patients with various mental disorders. However, other sleep-wake cycle disturbances appear to be more prominent in broad diagnostic categories.

Sleep-wake cycle in young and older persons with a lifetime history of mood disorders.

Considering the marked changes in sleep and circadian rhythms across the lifespan, age may contribute to the heterogeneity in sleep-wake profiles linked to mood disorders. This study aimed to investigate the contributions of age and depression severity to sleep-wake disturbances. The Hamilton Depression Rating Scale (HDRS) was administered to assess current symptoms severity in 238 persons with a history of a mood disorder between 12 and 90 years of age (y.o.). Actigraphy was recorded over five to 22 days. Regression analyses and analyses of variance [age (12-19 y.o., 20-39 y.o., 40-59 y.o., and ≥ 60 y.o.) by depression severity (HDRS< and ≥ 8)] were conducted. The 12-19 y.o. and 20-39 y.o. groups had a delayed sleep schedule and acrophase compared to all other groups. The ≥ 60 y.o. group had a lower rhythmicity and amplitude (p ≤ .006) than the 12-19 y.o. group (p ≤ .046). Participants with a HDRS ≥ 8 spent longer time in bed, had later sleep offset times and had lower circadian rhythmicity than those with a HDRS<8 (p ≤ .036). Younger age and higher HDRS score correlated with later sleep onset and offset times, longer time in bed, higher WASO, lower sleep efficiency and later acrophase (p ≤ .023). Age was a significant predictor of delayed sleep and activity schedules (p ≤ .001). The profile of sleep-wake cycle disturbances associated with mood disorders changes with age, with prominent sleep phase delay during youth and reduced circadian strength in older persons. Conversely, disruptions in sleep consolidation seem more stable across age.