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Stress dynamically regulates behavior and glutamatergic gene expression in hippocampus by opening a window of epigenetic plasticity
Nasca, Carla; Zelli, Danielle; Bigio, Benedetta; Piccinin, Sonia; Scaccianoce, Sergio; Nisticò, Robert; McEwen, Bruce S
Excitatory amino acids play a key role in both adaptive and deleterious effects of stressors on the brain, and dysregulated glutamate homeostasis has been associated with psychiatric and neurological disorders. Here, we elucidate mechanisms of epigenetic plasticity in the hippocampus in the interactions between a history of chronic stress and familiar and novel acute stressors that alter expression of anxiety- and depressive-like behaviors. We demonstrate that acute restraint and acute forced swim stressors induce differential effects on these behaviors in naive mice and in mice with a history of chronic-restraint stress (CRS). They reveal a key role for epigenetic up- and down-regulation of the putative presynaptic type 2 metabotropic glutamate (mGlu2) receptors and the postsynaptic NR1/NMDA receptors in the hippocampus and particularly in the dentate gyrus (DG), a region of active neurogenesis and a target of antidepressant treatment. We show changes in DG long-term potentiation (LTP) that parallel behavioral responses, with habituation to the same acute restraint stressor and sensitization to a novel forced-swim stressor. In WT mice after CRS and in unstressed mice with a BDNF loss-of-function allele (BDNF Val66Met), we show that the epigenetic activator of histone acetylation, P300, plays a pivotal role in the dynamic up- and down-regulation of mGlu2 in hippocampus via histone-3-lysine-27-acetylation (H3K27Ac) when acute stressors are applied. These hippocampal responses reveal a window of epigenetic plasticity that may be useful for treatment of disorders in which glutamatergic transmission is dysregulated.
PMCID:4672825
PMID: 26627246
ISSN: 1091-6490
CID: 5022822
Mind the gap: glucocorticoids modulate hippocampal glutamate tone underlying individual differences in stress susceptibility
Nasca, C; Bigio, B; Zelli, D; Nicoletti, F; McEwen, B S
Why do some individuals succumb to stress and develop debilitating psychiatric disorders, whereas others adapt well in the face of adversity? There is a gap in understanding the neural bases of individual differences in the responses to environmental factors on brain development and functions. Here, using a novel approach for screening an inbred population of laboratory animals, we identified two subpopulations of mice: susceptible mice that show mood-related abnormalities compared with resilient mice, which cope better with stress. This approach combined with molecular and behavioral analyses, led us to recognize, in hippocampus, presynaptic mGlu2 receptors, which inhibit glutamate release, as a stress-sensitive marker of individual differences to stress-induced mood disorders. Indeed, genetic mGlu2 deletion in mice results in a more severe susceptibility to stress, mimicking the susceptible mouse sub-population. Furthermore, we describe an underlying mechanism by which glucocorticoids, acting via mineralocorticoid receptors (MRs), decrease resilience to stress via downregulation of mGlu2 receptors. We also provide a mechanistic link between MRs and an epigenetic control of the glutamatergic synapse that underlies susceptibility to stressful experiences. The approach and the epigenetic allostasis concept introduced here serve as a model for identifying individual differences based upon biomarkers and underlying mechanisms and also provide molecular features that may be useful in translation to human behavior and psychopathology.
PMID: 25178162
ISSN: 1476-5578
CID: 5022992
Analysis of melanoma GWAS data suggests specific risk loci influencing age of onset of melanoma [Meeting Abstract]
Cymerman, Rachel M; Bigio, Benedetta; Seybold, Martin P; Polsky, David; Wittkowski, Knut M
ISI:000371597104256
ISSN: 1538-7445
CID: 2064492
A novel computational re-analysis of published GWAS data suggests new risk loci for melanoma susceptibility [Meeting Abstract]
Cymerman, Rachel M; Bigio, Benedetta; Seybold, Martin P; Polsky, David; Wittkowski, Knut M
ISI:000371597104255
ISSN: 1538-7445
CID: 2064482
A novel computational biostatistics approach implies impaired dephosphorylation of growth factor receptors as associated with severity of autism
Wittkowski, K M; Sonakya, V; Bigio, B; Tonn, M K; Shic, F; Ascano, M; Nasca, C; Gold-Von Simson, G
The prevalence of autism spectrum disorders (ASDs) has increased 20-fold over the past 50 years to >1% of US children. Although twin studies attest to a high degree of heritability, the genetic risk factors are still poorly understood. We analyzed data from two independent populations using u-statistics for genetically structured wide-locus data and added data from unrelated controls to explore epistasis. To account for systematic, but disease-unrelated differences in (non-randomized) genome-wide association studies (GWAS), a correlation between P-values and minor allele frequency with low granularity data and for conducting multiple tests in overlapping genetic regions, we present a novel study-specific criterion for 'genome-wide significance'. From recent results in a comorbid disease, childhood absence epilepsy, we had hypothesized that axonal guidance and calcium signaling are involved in autism as well. Enrichment of the results in both studies with related genes confirms this hypothesis. Additional ASD-specific variations identified in this study suggest protracted growth factor signaling as causing more severe forms of ASD. Another cluster of related genes suggests chloride and potassium ion channels as additional ASD-specific drug targets. The involvement of growth factors suggests the time of accelerated neuronal growth and pruning at 9-24 months of age as the period during which treatment with ion channel modulators would be most effective in preventing progression to more severe forms of autism. By extension, the same computational biostatistics approach could yield profound insights into the etiology of many common diseases from the genetic data collected over the last decade.
PMCID:3905234
PMID: 24473445
ISSN: 2158-3188
CID: 778292