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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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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. |
format | Online Article Text |
id | pubmed-7037192 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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