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Inflammatory Biomarkers as Differential Predictors of Antidepressant Response
Although antidepressants are generally effective in the treatment of major depressive disorder (MDD), it can still take weeks before patients feel the full antidepressant effects. Despite the efficacy of standard treatments, approximately two-thirds of patients with MDD fail to respond to pharmacoth...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2015
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425050/ https://www.ncbi.nlm.nih.gov/pubmed/25856677 http://dx.doi.org/10.3390/ijms16047796 |
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author | Hashimoto, Kenji |
author_facet | Hashimoto, Kenji |
author_sort | Hashimoto, Kenji |
collection | PubMed |
description | Although antidepressants are generally effective in the treatment of major depressive disorder (MDD), it can still take weeks before patients feel the full antidepressant effects. Despite the efficacy of standard treatments, approximately two-thirds of patients with MDD fail to respond to pharmacotherapy. Therefore, the identification of blood biomarkers that can predict the treatment response to antidepressants would be highly useful in order to improve this situation. This article discusses inflammatory molecules as predictive biomarkers for antidepressant responses to several classes of antidepressants, including the N-methyl-d-aspartate (NMDA) receptor antagonist ketamine. |
format | Online Article Text |
id | pubmed-4425050 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-44250502015-05-20 Inflammatory Biomarkers as Differential Predictors of Antidepressant Response Hashimoto, Kenji Int J Mol Sci Review Although antidepressants are generally effective in the treatment of major depressive disorder (MDD), it can still take weeks before patients feel the full antidepressant effects. Despite the efficacy of standard treatments, approximately two-thirds of patients with MDD fail to respond to pharmacotherapy. Therefore, the identification of blood biomarkers that can predict the treatment response to antidepressants would be highly useful in order to improve this situation. This article discusses inflammatory molecules as predictive biomarkers for antidepressant responses to several classes of antidepressants, including the N-methyl-d-aspartate (NMDA) receptor antagonist ketamine. MDPI 2015-04-08 /pmc/articles/PMC4425050/ /pubmed/25856677 http://dx.doi.org/10.3390/ijms16047796 Text en © 2015 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 license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Hashimoto, Kenji Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title | Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title_full | Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title_fullStr | Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title_full_unstemmed | Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title_short | Inflammatory Biomarkers as Differential Predictors of Antidepressant Response |
title_sort | inflammatory biomarkers as differential predictors of antidepressant response |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4425050/ https://www.ncbi.nlm.nih.gov/pubmed/25856677 http://dx.doi.org/10.3390/ijms16047796 |
work_keys_str_mv | AT hashimotokenji inflammatorybiomarkersasdifferentialpredictorsofantidepressantresponse |