Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autor principal: Hashimoto, Kenji
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
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
_version_ 1782370430815830016
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