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      Childhood Adversity Moderates the Effects of HTR2A Epigenetic Regulatory Polymorphisms on Rumination

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          Abstract

          The serotonin system has been suggested to moderate the association between childhood maltreatment and rumination, with the latter in its turn reported to be a mediator in the depressogenic effect of childhood maltreatment. Therefore, we investigated whether the associations of two epigenetic regulatory polymorphisms in the HTR2A serotonin receptor gene with Ruminative Responses Scale rumination and its two subtypes, brooding and reflection, are moderated by childhood adversity (derived from the Childhood Trauma Questionnaire) among 1,501 European white adults. We tested post hoc whether the significant associations are due to depression. We also tested the replicability of the significant results within the two subsamples of Budapest and Manchester. We revealed two significant models: both the association of methylation site rs6311 with rumination and that of miRNA binding site rs3125 (supposed to bind miR-1270, miR-1304, miR-202, miR-539 and miR-620) with brooding were a function of childhood adversity, and both interaction findings were significantly present both in the never-depressed and in the ever-depressed group. Moreover, the association of rs3125 with brooding could be replicated across the separate subsamples, and remained significant even when controlling for lifetime depression and the Brief Symptom Inventory depression score. These findings indicate the crucial importance of involving stress factors when considering endophenotypes and suggest that brooding is a more promising endophenotype than a broader measure of rumination. Transdiagnostic relevance of the brooding endophenotype and the potential of targeting epigenetic regulatory polymorphisms of HTR2A in primary and secondary prevention of depression and possibly of other disorders are also discussed.

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          Most cited references62

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          Strong control, conservative point estimation and simultaneous conservative consistency of false discovery rates: a unified approach

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            Common features of microRNA target prediction tools

            The human genome encodes for over 1800 microRNAs (miRNAs), which are short non-coding RNA molecules that function to regulate gene expression post-transcriptionally. Due to the potential for one miRNA to target multiple gene transcripts, miRNAs are recognized as a major mechanism to regulate gene expression and mRNA translation. Computational prediction of miRNA targets is a critical initial step in identifying miRNA:mRNA target interactions for experimental validation. The available tools for miRNA target prediction encompass a range of different computational approaches, from the modeling of physical interactions to the incorporation of machine learning. This review provides an overview of the major computational approaches to miRNA target prediction. Our discussion highlights three tools for their ease of use, reliance on relatively updated versions of miRBase, and range of capabilities, and these are DIANA-microT-CDS, miRanda-mirSVR, and TargetScan. In comparison across all miRNA target prediction tools, four main aspects of the miRNA:mRNA target interaction emerge as common features on which most target prediction is based: seed match, conservation, free energy, and site accessibility. This review explains these features and identifies how they are incorporated into currently available target prediction tools. MiRNA target prediction is a dynamic field with increasing attention on development of new analysis tools. This review attempts to provide a comprehensive assessment of these tools in a manner that is accessible across disciplines. Understanding the basis of these prediction methodologies will aid in user selection of the appropriate tools and interpretation of the tool output.
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              The neural and genetic basis of executive function: attention, cognitive flexibility, and response inhibition.

              Executive function is a collection of cognitive processes essential for higher order mental function. Processes involved in executive function include, but are not limited to, working memory, attention, cognitive flexibility, and impulse control. These complex behaviors are largely mediated by prefrontal cortical function but are modulated by dopaminergic, noradrenergic, serotonergic, and cholinergic input. The ability of these neurotransmitter systems to modulate executive function allows for adaptation in cognitive behavior in response to changes in the environment. Because of the important role these neurotransmitter systems play in regulating executive function, changes in these systems can also have a grave impact on executive function. In addition, polymorphisms in genes associated with these neurotransmitters are associated with phenotypic differences in executive function. Understanding how these naturally occurring polymorphisms contribute to different executive function phenotypes will advance basic knowledge of cognition and potentially further understanding and treatment of mental illness that involve changes in executive function. In this review, we will examine the influence of dopamine, norepinephrine, serotonin, and acetylcholine on the following measures of executive function: attention, cognitive flexibility, and impulse control. We will also review the effects of polymorphisms in genes associated with these neurotransmitter systems on these measures of executive function. © 2013.
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                Author and article information

                Contributors
                Journal
                Front Psychiatry
                Front Psychiatry
                Front. Psychiatry
                Frontiers in Psychiatry
                Frontiers Media S.A.
                1664-0640
                14 June 2019
                2019
                : 10
                : 394
                Affiliations
                [1] 1Department of Pharmacodynamics, Faculty of Pharmacy, Semmelweis University , Budapest, Hungary
                [2] 2NAP-2-SE New Antidepressant Target Research Group, Hungarian Brain Research Program, Semmelweis University , Budapest, Hungary
                [3] 3MTA-SE Neuropsychopharmacology and Neurochemistry Research Group, Hungarian Academy of Sciences, Semmelweis University , Budapest, Hungary
                [4] 4Department of Psychiatry and Psychotherapy, Kutvolgyi Clinical Centre, Semmelweis University , Budapest, Hungary
                [5] 5SE-NAP 2 Genetic Brain Imaging Migraine Research Group, Hungarian Brain Research Program, Semmelweis University , Budapest, Hungary
                [6] 6Division of Neuroscience and Experimental Psychology, Faculty of Biology, Medicine and Health, University of Manchester , Manchester, United Kingdom
                [7] 7Manchester Academic Health Sciences Centre , Manchester, United Kingdom
                [8] 8Greater Manchester Mental Health NHS Foundation Trust , Manchester, United Kingdom
                Author notes

                Edited by: Divya Mehta, Queensland University of Technology, Australia

                Reviewed by: Ludwig Stenz, Université de Genève, Switzerland; Gabriel R. Fries, University of Texas Health Science Center at Houston, United States

                *Correspondence: Nora Eszlari, eszlari.nora@ 123456pharma.semmelweis-univ.hu

                This article was submitted to Behavioral and Psychiatric Genetics, a section of the journal Frontiers in Psychiatry

                Article
                10.3389/fpsyt.2019.00394
                6588047
                31258491
                246e156f-b083-4f8d-ad13-194dd80b79b7
                Copyright © 2019 Eszlari, Petschner, Gonda, Baksa, Elliott, Anderson, Deakin, Bagdy and Juhasz

                This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

                History
                : 04 March 2019
                : 17 May 2019
                Page count
                Figures: 5, Tables: 3, Equations: 0, References: 72, Pages: 13, Words: 6969
                Categories
                Psychiatry
                Original Research

                Clinical Psychology & Psychiatry
                childhood stress,rumination,brooding,serotonin system,perseverative thought

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