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      Epigenetic signatures of attachment insecurity and childhood adversity provide evidence for role transition in the pathogenesis of perinatal depression

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          Abstract

          Early life adversity and insecure attachment style are known risk factors for perinatal depression. The biological pathways linking these experiences, however, have not yet been elucidated. We hypothesized that overlap in patterns of DNA methylation in association with each of these phenomena could identify genes and pathways of importance. Specifically, we wished to distinguish between allostatic-load and role-transition hypotheses of perinatal depression. We conducted a large-scale analysis of methylation patterns across 5 × 10 6 individual CG dinucleotides in 54 women participating in a longitudinal prospective study of perinatal depression, using clustering-based criteria for significance to control for multiple comparisons. We identified 1580 regions in which methylation density was associated with childhood adversity, 3 in which methylation density was associated with insecure attachment style, and 6 in which methylation density was associated with perinatal depression. Shorter telomeres were observed in association with childhood trauma but not with perinatal depression or attachment insecurity. A detailed analysis of methylation density in the oxytocin receptor gene revealed similar patterns of DNA methylation in association with perinatal depression and with insecure attachment style, while childhood trauma was associated with a distinct methylation pattern in this gene. Clinically, attachment style was strongly associated with depression only in pregnancy and the early postpartum, whereas the association of childhood adversity with depression was time-invariant. We concluded that the broad DNA methylation signature and reduced telomere length associated with childhood adversity could indicate increased allostatic load across multiple body systems, whereas perinatal depression and attachment insecurity may be narrower phenotypes with more limited DNA methylation signatures outside the CNS, and no apparent association with telomere length or, by extension, allostatic load. In contrast, the finding of matching DNA methylation patterns within the oxytocin receptor gene for perinatal depression and attachment insecurity is consistent with the theory that the perinatal period is a time of activation of existing attachment schemas for the purpose of structuring the mother–child relationship, and that such activation may occur in part through specific patterns of methylation of the oxytocin receptor gene.

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          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

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            Epigenetic programming by maternal behavior.

            Here we report that increased pup licking and grooming (LG) and arched-back nursing (ABN) by rat mothers altered the offspring epigenome at a glucocorticoid receptor (GR) gene promoter in the hippocampus. Offspring of mothers that showed high levels of LG and ABN were found to have differences in DNA methylation, as compared to offspring of 'low-LG-ABN' mothers. These differences emerged over the first week of life, were reversed with cross-fostering, persisted into adulthood and were associated with altered histone acetylation and transcription factor (NGFI-A) binding to the GR promoter. Central infusion of a histone deacetylase inhibitor removed the group differences in histone acetylation, DNA methylation, NGFI-A binding, GR expression and hypothalamic-pituitary-adrenal (HPA) responses to stress, suggesting a causal relation among epigenomic state, GR expression and the maternal effect on stress responses in the offspring. Thus we show that an epigenomic state of a gene can be established through behavioral programming, and it is potentially reversible.
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              Mood disorders and allostatic load.

              The brain controls both the physiologic and the behavioral coping responses to daily events as well as major stressors, and the nervous system is itself a target of the mediators of those responses through circulating hormones. The amygdala and hippocampus interpret what is stressful and regulate appropriate responses. The amygdala becomes hyperactive in posttraumatic stress disorder (PTSD) and depressive illness, and hypertrophy of amygdala nerve cells is reported after repeated stress in an animal model. The hippocampus expresses adrenal steroid receptors. It undergoes atrophy in several psychiatric disorders and responds to repeated stressors with decreased dendritic branching and reduction in number of neurons in the dentate gyrus. Stress promotes adaptation ("allostasis"), but a perturbed diurnal rhythm or failed shutoff of mediators after stress ("allostatic state") leads, over time, to wear and tear on the body ("allostatic load"). Neural changes mirror the pattern seen in the cardiovascular, metabolic, and immune systems, that is, short-term adaptation versus long-term damage. Allostatic load leads to impaired immunity, atherosclerosis, obesity, bone demineralization, and atrophy of nerve cells in brain. Allostatic load is seen in major depressive illness and may also be expressed in other chronic anxiety disorders such as PTSD and should be documented.
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                Author and article information

                Contributors
                trobakis@stanford.edu
                aeurban@stanford.edu
                Journal
                Transl Psychiatry
                Transl Psychiatry
                Translational Psychiatry
                Nature Publishing Group UK (London )
                2158-3188
                3 February 2020
                3 February 2020
                2020
                : 10
                : 48
                Affiliations
                [1 ]ISNI 0000000419368956, GRID grid.168010.e, Stanford University Department of Psychiatry and Behavioral Sciences, ; Stanford, CA USA
                [2 ]ISNI 0000000419368956, GRID grid.168010.e, Stanford University Department of Genetics, ; Stanford, CA USA
                [3 ]AccuraScience, LLC, Johnston, IN USA
                [4 ]ISNI 0000 0001 2264 7217, GRID grid.152326.1, Vanderbilt University Department of Psychology, ; Nashville, TN USA
                [5 ]ISNI 0000000419368956, GRID grid.168010.e, Stanford University Department of Psychology, ; Stanford, CA USA
                [6 ]ISNI 0000 0001 2180 1622, GRID grid.270240.3, Fred Hutchinson Cancer Research Center, ; Seattle, WA USA
                [7 ]ISNI 0000 0004 0526 6385, GRID grid.261634.4, Palo Alto University Graduate School of Psychology, ; Palo Alto, CA USA
                [8 ]ISNI 0000000419368956, GRID grid.168010.e, Stanford University Department of Obstetrics & Gynecology, ; Stanford, CA USA
                Author information
                http://orcid.org/0000-0003-3008-8392
                http://orcid.org/0000-0002-5715-6597
                Article
                703
                10.1038/s41398-020-0703-3
                7026105
                32066670
                0816824a-13c6-4a66-a062-f8e18af8abbf
                © The Author(s) 2020

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 22 May 2019
                : 5 November 2019
                : 8 December 2019
                Funding
                Funded by: FundRef https://doi.org/10.13039/100000025, U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH);
                Award ID: 5T32MH019938-19
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000874, Brain and Behavior Research Foundation (Brain & Behavior Research Foundation);
                Award ID: 2014YI
                Award Recipient :
                Funded by: Stanford University Precision Health and Integrated Diagnostics 2018 seed grant
                Categories
                Article
                Custom metadata
                © The Author(s) 2020

                Clinical Psychology & Psychiatry
                depression,clinical genetics,predictive markers
                Clinical Psychology & Psychiatry
                depression, clinical genetics, predictive markers

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