Literature DB >> 22681167

Epigenetics, depression and antidepressant treatment.

Andreas Menke1, Torsten Klengel, Elisabeth B Binder.   

Abstract

The heritability of major depression has been documented in a number of epidemiologic studies. Twin studies have estimated the heritability at about 37% and these estimation can rise up to 70% if severity, relapse rate and age of onset are considered. Despite the relative importance of genetic risk factors in the pathogenesis of this disease, molecular genetic studies, including large genome-wide association studies, only a very small number of candidate genes, explaining little of the variance have been identified. This fact has been termed "missing heritability" and could be accounted by a number of factors including that the presumed causal variants are not tagged by the current genetic approaches, that major depression is truly polygenic, with each polymorphism only contributing very small increases in risk, unaccounted environmental influences and complex epigenetic factors. Epigenetics refers to the regulation of DNA transcription without alteration of the original sequence and is controlled by DNA methylation, histone modifications and non-coding RNAs and can be transmitted through generations. A number of clinical and preclinical studies suggest that epigenetic mechanisms could play an important role in the pathogenesis and treatment of major depression. So far, most studies investigated genes within the hypothalamicpituitary- adrenal (HPA) axis or the neurotrophin system. It is also of interest that current psychopharmacologic drugs including antidepressants, antipsychotics and mood stabilizers may exert some of their effects by inducing epigenetic changes. Most notably, epigenetic alterations are potentially reversible and accessibe for drug treatment, which lead to the development of novel classes of antidepressant drugs.

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Year:  2012        PMID: 22681167     DOI: 10.2174/138161212803523590

Source DB:  PubMed          Journal:  Curr Pharm Des        ISSN: 1381-6128            Impact factor:   3.116


  22 in total

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Review 2.  Of rodents and humans: A comparative review of the neurobehavioral effects of early life SSRI exposure in preclinical and clinical research.

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3.  Minocycline protects against oxidative damage and alters energy metabolism parameters in the brain of rats subjected to chronic mild stress.

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Journal:  Metab Brain Dis       Date:  2014-08-13       Impact factor: 3.584

4.  Pharmacoepigenetics of depression: no major influence of MAO-A DNA methylation on treatment response.

Authors:  Katharina Domschke; Nicola Tidow; Kathrin Schwarte; Christiane Ziegler; Klaus-Peter Lesch; Jürgen Deckert; Volker Arolt; Peter Zwanzger; Bernhard T Baune
Journal:  J Neural Transm (Vienna)       Date:  2014-05-10       Impact factor: 3.575

Review 5.  Genetics Factors in Major Depression Disease.

Authors:  Maria Shadrina; Elena A Bondarenko; Petr A Slominsky
Journal:  Front Psychiatry       Date:  2018-07-23       Impact factor: 4.157

6.  Epigenetic Modulation of Mood Disorders.

Authors:  T Archer; M Oscar-Berman; K Blum; Ms Gold
Journal:  J Genet Syndr Gene Ther       Date:  2013-02-11

7.  Clinical outcomes and genome-wide association for a brain methylation site in an antidepressant pharmacogenetics study in Mexican Americans.

Authors:  Ma-Li Wong; Chuanhui Dong; Deborah L Flores; Monika Ehrhart-Bornstein; Stefan Bornstein; Mauricio Arcos-Burgos; Julio Licinio
Journal:  Am J Psychiatry       Date:  2014-10-31       Impact factor: 18.112

8.  FKBP5 genotype-dependent DNA methylation and mRNA regulation after psychosocial stress in remitted depression and healthy controls.

Authors:  Nina Höhne; Maximilian Poidinger; Franziska Merz; Hildegard Pfister; Tanja Brückl; Petra Zimmermann; Manfred Uhr; Florian Holsboer; Marcus Ising
Journal:  Int J Neuropsychopharmacol       Date:  2014-12-13       Impact factor: 5.176

9.  Effect of Xiaoyaosan on major depressive disorder.

Authors:  Lin-Lin Jing; Xiao-Xia Zhu; Zhi-Ping Lv; Xue-Gang Sun
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10.  Methylome-wide change associated with response to electroconvulsive therapy in depressed patients.

Authors:  Lea Sirignano; Josef Frank; Laura Kranaster; Stephanie H Witt; Fabian Streit; Lea Zillich; Alexander Sartorius; Marcella Rietschel; Jerome C Foo
Journal:  Transl Psychiatry       Date:  2021-06-05       Impact factor: 6.222

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