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

Major depressive disorder (MDD) is the leading cause of disability worldwide and is associated with high rates of suicide and medical comorbidities. Current antidepressant medications are suboptimal, as most MDD patients fail to achieve complete remission from symptoms. At present, clinicians are un...

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Autores principales: Webb, Lauren M., Phillips, Kathryn E., Ho, Man Choi, Veldic, Marin, Blacker, Caren J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037192/
https://www.ncbi.nlm.nih.gov/pubmed/32012861
http://dx.doi.org/10.3390/ijms21030826
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author Webb, Lauren M.
Phillips, Kathryn E.
Ho, Man Choi
Veldic, Marin
Blacker, Caren J.
author_facet Webb, Lauren M.
Phillips, Kathryn E.
Ho, Man Choi
Veldic, Marin
Blacker, Caren J.
author_sort Webb, Lauren M.
collection PubMed
description Major depressive disorder (MDD) is the leading cause of disability worldwide and is associated with high rates of suicide and medical comorbidities. Current antidepressant medications are suboptimal, as most MDD patients fail to achieve complete remission from symptoms. At present, clinicians are unable to predict which antidepressant is most effective for a particular patient, exposing patients to multiple medication trials and side effects. Since MDD’s etiology includes interactions between genes and environment, the epigenome is of interest for predictive utility and treatment monitoring. Epigenetic mechanisms of antidepressant medications are incompletely understood. Differences in epigenetic profiles may impact treatment response. A systematic literature search yielded 24 studies reporting the interaction between antidepressants and eight genes (BDNF, MAOA, SLC6A2, SLC6A4, HTR1A, HTR1B, IL6, IL11) and whole genome methylation. Methylation of certain sites within BDNF, SLC6A4, HTR1A, HTR1B, IL11, and the whole genome was predictive of antidepressant response. Comparing DNA methylation in patients during depressive episodes, during treatment, in remission, and after antidepressant cessation would help clarify the influence of antidepressant medications on DNA methylation. Individuals’ unique methylation profiles may be used clinically for personalization of antidepressant choice in the future.
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spelling pubmed-70371922020-03-11 The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review Webb, Lauren M. Phillips, Kathryn E. Ho, Man Choi Veldic, Marin Blacker, Caren J. Int J Mol Sci Review Major depressive disorder (MDD) is the leading cause of disability worldwide and is associated with high rates of suicide and medical comorbidities. Current antidepressant medications are suboptimal, as most MDD patients fail to achieve complete remission from symptoms. At present, clinicians are unable to predict which antidepressant is most effective for a particular patient, exposing patients to multiple medication trials and side effects. Since MDD’s etiology includes interactions between genes and environment, the epigenome is of interest for predictive utility and treatment monitoring. Epigenetic mechanisms of antidepressant medications are incompletely understood. Differences in epigenetic profiles may impact treatment response. A systematic literature search yielded 24 studies reporting the interaction between antidepressants and eight genes (BDNF, MAOA, SLC6A2, SLC6A4, HTR1A, HTR1B, IL6, IL11) and whole genome methylation. Methylation of certain sites within BDNF, SLC6A4, HTR1A, HTR1B, IL11, and the whole genome was predictive of antidepressant response. Comparing DNA methylation in patients during depressive episodes, during treatment, in remission, and after antidepressant cessation would help clarify the influence of antidepressant medications on DNA methylation. Individuals’ unique methylation profiles may be used clinically for personalization of antidepressant choice in the future. MDPI 2020-01-28 /pmc/articles/PMC7037192/ /pubmed/32012861 http://dx.doi.org/10.3390/ijms21030826 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Review
Webb, Lauren M.
Phillips, Kathryn E.
Ho, Man Choi
Veldic, Marin
Blacker, Caren J.
The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title_full The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title_fullStr The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title_full_unstemmed The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title_short The Relationship between DNA Methylation and Antidepressant Medications: A Systematic Review
title_sort relationship between dna methylation and antidepressant medications: a systematic review
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7037192/
https://www.ncbi.nlm.nih.gov/pubmed/32012861
http://dx.doi.org/10.3390/ijms21030826
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