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Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets'
To improve the ‘personalized-medicine' approach to the treatment of depression, we need to identify biomarkers that, assessed before starting treatment, predict future response to antidepressants (‘predictors'), as well as biomarkers that are targeted by antidepressants and change longitud...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547188/ https://www.ncbi.nlm.nih.gov/pubmed/22990943 http://dx.doi.org/10.1038/npp.2012.191 |
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author | Cattaneo, Annamaria Gennarelli, Massimo Uher, Rudolf Breen, Gerome Farmer, Anne Aitchison, Katherine J Craig, Ian W Anacker, Christoph Zunsztain, Patricia A McGuffin, Peter Pariante, Carmine M |
author_facet | Cattaneo, Annamaria Gennarelli, Massimo Uher, Rudolf Breen, Gerome Farmer, Anne Aitchison, Katherine J Craig, Ian W Anacker, Christoph Zunsztain, Patricia A McGuffin, Peter Pariante, Carmine M |
author_sort | Cattaneo, Annamaria |
collection | PubMed |
description | To improve the ‘personalized-medicine' approach to the treatment of depression, we need to identify biomarkers that, assessed before starting treatment, predict future response to antidepressants (‘predictors'), as well as biomarkers that are targeted by antidepressants and change longitudinally during the treatment (‘targets'). In this study, we tested the leukocyte mRNA expression levels of genes belonging to glucocorticoid receptor (GR) function (FKBP-4, FKBP-5, and GR), inflammation (interleukin (IL)-1α, IL-1β, IL-4, IL-6, IL-7, IL-8, IL-10, macrophage inhibiting factor (MIF), and tumor necrosis factor (TNF)-α), and neuroplasticity (brain-derived neurotrophic factor (BDNF), p11 and VGF), in healthy controls (n=34) and depressed patients (n=74), before and after 8 weeks of treatment with escitalopram or nortriptyline, as part of the Genome-based Therapeutic Drugs for Depression study. Non-responders had higher baseline mRNA levels of IL-1β (+33%), MIF (+48%), and TNF-α (+39%). Antidepressants reduced the levels of IL-1β (−6%) and MIF (−24%), and increased the levels of GR (+5%) and p11 (+8%), but these changes were not associated with treatment response. In contrast, successful antidepressant response was associated with a reduction in the levels of IL-6 (−9%) and of FKBP5 (−11%), and with an increase in the levels of BDNF (+48%) and VGF (+20%)—that is, response was associated with changes in genes that did not predict, at the baseline, the response. Our findings indicate a dissociation between ‘predictors' and ‘targets' of antidepressant responders. Indeed, while higher levels of proinflammatory cytokines predict lack of future response to antidepressants, changes in inflammation associated with antidepressant response are not reflected by all cytokines at the same time. In contrast, modulation of the GR complex and of neuroplasticity is needed to observe a therapeutic antidepressant effect. |
format | Online Article Text |
id | pubmed-3547188 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-35471882013-02-01 Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' Cattaneo, Annamaria Gennarelli, Massimo Uher, Rudolf Breen, Gerome Farmer, Anne Aitchison, Katherine J Craig, Ian W Anacker, Christoph Zunsztain, Patricia A McGuffin, Peter Pariante, Carmine M Neuropsychopharmacology Original Article To improve the ‘personalized-medicine' approach to the treatment of depression, we need to identify biomarkers that, assessed before starting treatment, predict future response to antidepressants (‘predictors'), as well as biomarkers that are targeted by antidepressants and change longitudinally during the treatment (‘targets'). In this study, we tested the leukocyte mRNA expression levels of genes belonging to glucocorticoid receptor (GR) function (FKBP-4, FKBP-5, and GR), inflammation (interleukin (IL)-1α, IL-1β, IL-4, IL-6, IL-7, IL-8, IL-10, macrophage inhibiting factor (MIF), and tumor necrosis factor (TNF)-α), and neuroplasticity (brain-derived neurotrophic factor (BDNF), p11 and VGF), in healthy controls (n=34) and depressed patients (n=74), before and after 8 weeks of treatment with escitalopram or nortriptyline, as part of the Genome-based Therapeutic Drugs for Depression study. Non-responders had higher baseline mRNA levels of IL-1β (+33%), MIF (+48%), and TNF-α (+39%). Antidepressants reduced the levels of IL-1β (−6%) and MIF (−24%), and increased the levels of GR (+5%) and p11 (+8%), but these changes were not associated with treatment response. In contrast, successful antidepressant response was associated with a reduction in the levels of IL-6 (−9%) and of FKBP5 (−11%), and with an increase in the levels of BDNF (+48%) and VGF (+20%)—that is, response was associated with changes in genes that did not predict, at the baseline, the response. Our findings indicate a dissociation between ‘predictors' and ‘targets' of antidepressant responders. Indeed, while higher levels of proinflammatory cytokines predict lack of future response to antidepressants, changes in inflammation associated with antidepressant response are not reflected by all cytokines at the same time. In contrast, modulation of the GR complex and of neuroplasticity is needed to observe a therapeutic antidepressant effect. Nature Publishing Group 2013-02 2012-09-19 /pmc/articles/PMC3547188/ /pubmed/22990943 http://dx.doi.org/10.1038/npp.2012.191 Text en Copyright © 2013 American College of Neuropsychopharmacology http://creativecommons.org/licenses/by-nc-nd/3.0/ This work is licensed under the Creative Commons Attribution-NonCommercial-No Derivative Works 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Cattaneo, Annamaria Gennarelli, Massimo Uher, Rudolf Breen, Gerome Farmer, Anne Aitchison, Katherine J Craig, Ian W Anacker, Christoph Zunsztain, Patricia A McGuffin, Peter Pariante, Carmine M Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title | Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title_full | Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title_fullStr | Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title_full_unstemmed | Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title_short | Candidate Genes Expression Profile Associated with Antidepressants Response in the GENDEP Study: Differentiating between Baseline ‘Predictors' and Longitudinal ‘Targets' |
title_sort | candidate genes expression profile associated with antidepressants response in the gendep study: differentiating between baseline ‘predictors' and longitudinal ‘targets' |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3547188/ https://www.ncbi.nlm.nih.gov/pubmed/22990943 http://dx.doi.org/10.1038/npp.2012.191 |
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