Literature DB >> 28063933

DNA methylation and clinical response to antidepressant medication in major depressive disorder: A review and recommendations.

Amanda J Lisoway1, Clement C Zai2, Arun K Tiwari3, James L Kennedy4.   

Abstract

Antidepressant medications are the most common treatment for major depression and related disorders. Pharmacogenetic studies have demonstrated that response to these medications is associated with genetic variation. While these studies have been invaluable they have yet to explain why a significant number of patients do not respond to their initial medication. The epigenetic modification known as DNA methylation has recently been studied in the context of antidepressant treatment response. As such, the purpose of this article is to review the advances made in the relatively new field of pharmaco-epigenetics of antidepressant response. We included all published articles examining DNA methylation in association with antidepressant treatment response in Major Depressive Disorder from April 2006 to June 2016 using the PubMed, Medline, PsychInfo and Web of Science databases. At the present time, although original articles are limited, epigenetic modifications of SLC6A4, BDNF, and IL11 genes are showing promising results as biomarkers for prediction of antidepressant response. However, research methods and results are heterogeneous and additional studies are required before results are generalizable. At the end of this review we provide recommendations for study design and analytic approaches.
Copyright © 2017 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Antidepressant response; DNA methylation; Major depressive disorder; Pharmaco-epigenetics; Pharmacological treatment; Psychiatry; Treatment response

Mesh:

Substances:

Year:  2017        PMID: 28063933     DOI: 10.1016/j.neulet.2016.12.071

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  18 in total

Review 1.  Moving pharmacoepigenetics tools for depression toward clinical use.

Authors:  Laura M Hack; Gabriel R Fries; Harris A Eyre; Chad A Bousman; Ajeet B Singh; Joao Quevedo; Vineeth P John; Bernhard T Baune; Boadie W Dunlop
Journal:  J Affect Disord       Date:  2019-02-06       Impact factor: 4.839

2.  An epigenome-wide methylation study of healthy individuals with or without depressive symptoms.

Authors:  Mihoko Shimada; Takeshi Otowa; Taku Miyagawa; Tadashi Umekage; Yoshiya Kawamura; Miki Bundo; Kazuya Iwamoto; Tempei Ikegame; Mamoru Tochigi; Kiyoto Kasai; Hisanobu Kaiya; Hisashi Tanii; Yuji Okazaki; Katsushi Tokunaga; Tsukasa Sasaki
Journal:  J Hum Genet       Date:  2018-01-05       Impact factor: 3.172

3.  Predicting treatment outcome in depression: an introduction into current concepts and challenges.

Authors:  Nicolas Rost; Elisabeth B Binder; Tanja M Brückl
Journal:  Eur Arch Psychiatry Clin Neurosci       Date:  2022-05-19       Impact factor: 5.270

4.  DNA Methylation Signatures of Depressive Symptoms in Middle-aged and Elderly Persons: Meta-analysis of Multiethnic Epigenome-wide Studies.

Authors:  Olivera Story Jovanova; Ivana Nedeljkovic; Derek Spieler; Rosie M Walker; Chunyu Liu; Michelle Luciano; Jan Bressler; Jennifer Brody; Amanda J Drake; Kathryn L Evans; Rahul Gondalia; Sonja Kunze; Brigitte Kuhnel; Jari Lahti; Rozenn N Lemaitre; Riccardo E Marioni; Brenton Swenson; Jayandra Jung Himali; Hongsheng Wu; Yun Li; Allan F McRae; Tom C Russ; James Stewart; Zhiying Wang; Guosheng Zhang; Karl-Heinz Ladwig; Andre G Uitterlinden; Xiuqing Guo; Annette Peters; Katri Räikkönen; John M Starr; Melanie Waldenberger; Naomi R Wray; Eric A Whitsel; Nona Sotoodehnia; Sudha Seshadri; David J Porteous; Joyce van Meurs; Thomas H Mosley; Andrew M McIntosh; Michael M Mendelson; Daniel Levy; Lifang Hou; Johan G Eriksson; Myriam Fornage; Ian J Deary; Andrea Baccarelli; Henning Tiemeier; Najaf Amin
Journal:  JAMA Psychiatry       Date:  2018-09-01       Impact factor: 21.596

5.  The association between serotonin-related gene polymorphisms and susceptibility and early sertraline response in patients with panic disorder.

Authors:  Zhili Zou; Yulan Huang; Jinyu Wang; Wenjiao Min; Bo Zhou
Journal:  BMC Psychiatry       Date:  2020-07-28       Impact factor: 3.630

6.  What do DNA methylation studies tell us about depression? A systematic review.

Authors:  Muzi Li; Carl D'Arcy; Xintong Li; Tieyuan Zhang; Ridha Joober; Xiangfei Meng
Journal:  Transl Psychiatry       Date:  2019-02-04       Impact factor: 6.222

7.  The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review.

Authors:  Lauren M Webb; Kathryn E Phillips; Man Choi Ho; Marin Veldic; Caren J Blacker
Journal:  Int J Mol Sci       Date:  2020-01-28       Impact factor: 5.923

8.  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

9.  The functional variant rs334558 of GSK3B is associated with remission in patients with depressive disorders.

Authors:  Anastasia Levchenko; Innokentiy S Losenkov; Natalia M Vyalova; German G Simutkin; Nikolay A Bokhan; Bob Wilffert; Anton Jm Loonen; Svetlana A Ivanova
Journal:  Pharmgenomics Pers Med       Date:  2018-07-20

10.  BDNF Plasma Levels and BDNF Exon IV Promoter Methylation as Predictors for Antidepressant Treatment Response.

Authors:  Klaus Lieb; Nadine Dreimüller; Stefanie Wagner; Konrad Schlicht; Tanja Falter; Alexandra Neyazi; Linda Müller-Engling; Stefan Bleich; André Tadić; Helge Frieling
Journal:  Front Psychiatry       Date:  2018-10-26       Impact factor: 4.157

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