Variations in postnatal maternal care and the epigenetic regulation of metabotropic glutamate receptor 1 expression and hippocampal function in the rat
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
Authors: Bagot, Rosemary C.; Zhang, Tie-Yuan; Wen, Xianglan; Nguyen, Thi Thu Thao; Nguyen, Huy-Binh; Diorio, Josie; Wong, Tak Pan; Meaney, Michael J.
Abstract
Variations in maternal care in the rat affect hippocampal morphology and function as well as performance on hippocampal-dependent tests of learning and memory in the offspring. Preliminary genome-wide analyses of gene transcription and DNA methylation of the molecular basis for such maternal effects suggested differences in the epigenetic state and transcriptional activity of the Grm1 gene in the rat as a function of maternal care. Grm1 encodes the type I metabotropic glutamate receptor (mGluR1), and we found increased mGluR1 mRNA and protein in hippocampus from the adult offspring of mothers showing an increased frequency of pup licking/grooming (i.e., high-LG mothers) that was associated with a decrease in the methylation of Grm1. ChIP assays showed increased levels of histone 3 lysine 9 acetylation and histone 3 lysine 4 trimethylation of Grm1 in hippocampus from the adult offspring of high-LG compared with low-LG mothers. These histone posttranslational modifications were highly correlated, and both associate inversely with DNA methylation and positively with transcription. Studies of mGluR1 function showed increased hippocampal mGluR1-induced long-term depression in the adult offspring of high-LG compared with low-LG mothers, as well as increased paired-pulse depression (PPD). PPD is an inhibitory feedback mechanism that prevents excessive glutamate release during high-frequency stimulation. The maternal effects on both long-term depression and PPD were eliminated by treatment with an mGluR1-selective antagonist. These findings suggest that variations in maternal care can influence hippocampal function and cognitive performance through the epigenetic regulation of genes implicated in glutamatergic synaptic signaling.
Polymorphisms within the metabotropic glutamate receptor 1 gene are associated with depression phenotypes
PSYCHONEUROENDOCRINOLOGY
Authors: Menke, Andreas; Saemann, Philipp; Kloiber, Stefan; Czamara, Darina; Lucae, Susanne; Hennings, Johannes; Heck, Angela; Kohli, Martin A.; Czisch, Michael; Mueller-Myhsok, Bertram; Holsboer, Florian; Binder, Elisabeth B.
Abstract
Objectives: Glutamate has been implicated in the pathophysiology and treatment of mood disorders possibly by affecting the regulation of the hypothalamus-pituitary-adrenocortical (HPA) axis. Growing evidence suggests an important role of the metabotropic glutamate receptor 1 (mGlu1) in depression-related phenotypes. To test whether these findings can also be supported by human genetics data, we explored polymorphisms within the metabotropic glutamate receptor 1 gene (GRM1) for their association with unipolar depression (UPD) as well as with biological phenotypes of this disorder. Methods: We first tested the association of 43 tag-SNPs covering the GRM1 locus with UPD in 350 patients and 370 matched controls. We then investigated the effects of the associated SNPs on hippocampal glutamate levels estimated using H-1-MR-spectroscopy (H-1-MRS) and on endocrine measures from the combined dexamethasone-suppression/CRH stimulation (dex/CRH) test. Results: Within the GRM1 locus, 22 SNPs showed nominally significant association with UPD, of which 6 withstood corrections for multiple testing (rs2268666 with best allelic p = 7.0 x 10(-5)). Supportive evidence for an association with UPD was gained from a second independent sample with 904 patients and 1012 controls. Furthermore, patients homozygous for the non-risk genotypes showed reduced hippocampal glutamate levels as measured by H-1-MRS, a more pronounced normalization of HPA-axis hyperactivity as well as a better antidepressant treatment outcome. Conclusions: These results suggest that the combination of genetic and biological markers may allow to subgroup patients into etiopathogenetically more relevant subcategories which could guide clinicians in their antidepressant treatment choices. (C) 2011 Elsevier Ltd. All rights reserved.