Putative Microcircuit-Level Substrates for Attention Are Disrupted in Mouse Models of Autism

BackgroundDeep layer excitatory circuits in the prefrontal cortex represent the strongest locus for genetic convergence in autism, but specific abnormalities within these circuits that mediate key features of autism, such as cognitive or attentional deficits, remain unknown. Attention normally increases the sensitivity of neural populations to incoming signals by decorrelating ongoing cortical circuit activity. Here, we investigated whether mechanisms underlying this phenomenon might be disrupted within deep layer prefrontal circuits in mouse models of autism.MethodsWe isolated deep layer prefrontal circuits in brain slices then used single-photon GCaMP imaging to record activity from many (50 to 100) neurons simultaneously to study patterns of spontaneous activity generated by these circuits under normal conditions and in two etiologically distinct models of autism: mice exposed to valproic acid in utero and Fmr1 knockout mice.ResultsWe found that modest doses of the cholinergic agonist carbachol normally decorrelate spontaneous activity generated by deep layer prefrontal networks. This effect was disrupted in both valproic acid-exposed and Fmr1 knockout mice but intact following other manipulations that did not model autism.ConclusionsOur results suggest that cholinergic modulation may contribute to attention by acting on local cortical microcircuits to decorrelate spontaneous activity. Furthermore, defects in this mechanism represent a microcircuit-level endophenotype that could link diverse genetic and developmental disruptions to attentional deficits in autism. Future studies could elucidate pathways leading from various etiologies to this circuit-level abnormality or use this abnormality itself as a target and identify novel therapeutic strategies that restore normal circuit function

Epigenetic Priming of Memory Updating during Reconsolidation to Attenuate Remote Fear Memories

Traumatic events generate some of the most enduring forms of memories. Despite the elevated lifetime prevalence of anxiety disorders, effective strategies to attenuate long-term traumatic memories are scarce. The most efficacious treatments to diminish recent (i.e., day-old) traumata capitalize on memory updating mechanisms during reconsolidation that are initiated upon memory recall. Here, we show that, in mice, successful reconsolidation-updating paradigms for recent memories fail to attenuate remote (i.e., month-old) ones. We find that, whereas recent memory recall induces a limited period of hippocampal neuroplasticity mediated, in part, by S-nitrosylation of HDAC2 and histone acetylation, such plasticity is absent for remote memories. However, by using an HDAC2-targeting inhibitor (HDACi) during reconsolidation, even remote memories can be persistently attenuated. This intervention epigenetically primes the expression of neuroplasticity-related genes, which is accompanied by higher metabolic, synaptic, and structural plasticity. Thus, applying HDACis during memory reconsolidation might constitute a treatment option for remote traumata.National Institute of Neurological Disorders and Stroke (U.S.)/National Institute on Aging (NS078839)Picower Institute for Learning and Memory (Neurological Disorder Fund)Stanley Medical Research InstituteHoward Hughes Medical InstituteBard Richmond Fellowshi

Putative Microcircuit-Level Substrates for Attention Are Disrupted in Mouse Models of Autism

BACKGROUND: Deep layer excitatory circuits in the prefrontal cortex represent the strongest locus for genetic convergence in autism, but specific abnormalities within these circuits that mediate key features of autism, such cognitive or attentional deficits, remain unknown. Attention normally increases the sensitivity of neural populations to incoming signals by decorrelating ongoing cortical circuit activity. Here we investigated whether mechanisms underlying this phenomenon might be disrupted within deep layer prefrontal circuits in mouse models of autism. METHODS: We isolated deep layer prefrontal circuits in brain slices then used single-photon GCaMP imaging to record activity from many (50-100) neurons simultaneously, in order to study patterns of spontaneous activity generated by these circuits under normal conditions and in two etiologically distinct models of autism: mice exposed to valproic acid (VPA) in utero and FMR1 KO mice. RESULTS: We found that modest doses of the cholinergic agonist carbachol normally decorrelate spontaneous activity generated by deep layer prefrontal networks. This effect was disrupted in both VPA-exposed and FMR1 KO mice, but intact following other manipulations which do not model autism. CONCLUSIONS: Our results suggest that cholinergic modulation may contribute to attention by acting on local cortical microcircuits to decorrelate spontaneous activity. Furthermore, defects in this mechanism represent a microcircuit-level endophenotype that could link diverse genetic and developmental disruptions to attentional deficits in autism. Future studies could elucidate pathways leading from various etiologies to this circuit-level abnormality, or use this abnormality itself as a target, and identify novel therapeutic strategies that restore normal circuit function

Association of Later-Life Weight Changes With Survival to Ages 90, 95, and 100: The Women\u27s Health Initiative.

BACKGROUND: Associations of weight changes and intentionality of weight loss with longevity are not well described. METHODS: Using longitudinal data from the Women\u27s Health Initiative (N = 54 437; 61-81 years), we examined associations of weight changes and intentionality of weight loss with survival to ages 90, 95, and 100. Weight was measured at baseline, year 3, and year 10, and participants were classified as having weight loss (≥5% decrease from baseline), weight gain (≥5% increase from baseline), or stable weight ( RESULTS: A total of 30 647 (56.3%) women survived to ≥90 years. After adjustment for relevant covariates, 3-year weight loss of ≥5% vs stable weight was associated with lower odds of survival to ages 90 (OR, 0.67; 95% CI, 0.64-0.71), 95 (OR, 0.65; 95% CI, 0.60-0.71), and 100 (OR, 0.62; 95% CI, 0.49-0.78). Compared to intentional weight loss, unintentional weight loss was more strongly associated with lower odds of survival to age 90 (OR, 0.83; 95% CI, 0.74-0.94 and OR, 0.49; 95% CI, 0.44-0.55, respectively). Three-year weight gain of ≥5% vs stable weight was not associated with survival to age 90, 95, or 100. The pattern of results was similar among normal weight, overweight, and obese women in body mass index (BMI)-stratified analyses. CONCLUSIONS: Weight loss of ≥5% vs stable weight was associated with lower odds of longevity, more strongly for unintentional weight loss than for intentional weight loss. Potential inaccuracy of self-reported intentionality of weight loss and residual confounding were limitations