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A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells
Major depressive disorder is the most prevalent mental illness worldwide, still its pharmacological treatment is limited by various challenges, such as the large heterogeneity in treatment response and the lack of insight into the neurobiological pathways underlying this phenomenon. To decode the mo...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791134/ https://www.ncbi.nlm.nih.gov/pubmed/33414410 http://dx.doi.org/10.1038/s41398-020-01136-2 |
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author | Herzog, David P. Pascual Cuadrado, Diego Treccani, Giulia Jene, Tanja Opitz, Verena Hasch, Annika Lutz, Beat Lieb, Klaus Sillaber, Inge van der Kooij, Michael A. Tiwari, Vijay K. Müller, Marianne B. |
author_facet | Herzog, David P. Pascual Cuadrado, Diego Treccani, Giulia Jene, Tanja Opitz, Verena Hasch, Annika Lutz, Beat Lieb, Klaus Sillaber, Inge van der Kooij, Michael A. Tiwari, Vijay K. Müller, Marianne B. |
author_sort | Herzog, David P. |
collection | PubMed |
description | Major depressive disorder is the most prevalent mental illness worldwide, still its pharmacological treatment is limited by various challenges, such as the large heterogeneity in treatment response and the lack of insight into the neurobiological pathways underlying this phenomenon. To decode the molecular mechanisms shaping antidepressant response and to distinguish those from general paroxetine effects, we used a previously established approach targeting extremes (i.e., good vs poor responder mice). We focused on the dentate gyrus (DG), a subregion of major interest in the context of antidepressant mechanisms. Transcriptome profiling on micro-dissected DG granule cells was performed to (i) reveal cell-type-specific changes in paroxetine-induced gene expression (paroxetine vs vehicle) and (ii) to identify molecular signatures of treatment response within a cohort of paroxetine-treated animals. We identified 112 differentially expressed genes associated with paroxetine treatment. The extreme group comparison (good vs poor responder) yielded 211 differentially expressed genes. General paroxetine effects could be distinguished from treatment response-associated molecular signatures, with a differential gene expression overlap of only 4.6% (15 genes). Biological pathway enrichment and cluster analyses identified candidate mechanisms associated with good treatment response, e.g., neuropeptide signaling, synaptic transmission, calcium signaling, and regulation of glucocorticoid secretion. Finally, we examined glucocorticoid receptor (GR)-dependent regulation of selected response-associated genes to analyze a hypothesized interplay between GR signaling and good antidepressant treatment response. Among the most promising candidates, we suggest potential targets such as the developmental gene Otx2 or Htr2c for further investigations into antidepressant treatment response in the future. |
format | Online Article Text |
id | pubmed-7791134 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-77911342021-01-15 A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells Herzog, David P. Pascual Cuadrado, Diego Treccani, Giulia Jene, Tanja Opitz, Verena Hasch, Annika Lutz, Beat Lieb, Klaus Sillaber, Inge van der Kooij, Michael A. Tiwari, Vijay K. Müller, Marianne B. Transl Psychiatry Article Major depressive disorder is the most prevalent mental illness worldwide, still its pharmacological treatment is limited by various challenges, such as the large heterogeneity in treatment response and the lack of insight into the neurobiological pathways underlying this phenomenon. To decode the molecular mechanisms shaping antidepressant response and to distinguish those from general paroxetine effects, we used a previously established approach targeting extremes (i.e., good vs poor responder mice). We focused on the dentate gyrus (DG), a subregion of major interest in the context of antidepressant mechanisms. Transcriptome profiling on micro-dissected DG granule cells was performed to (i) reveal cell-type-specific changes in paroxetine-induced gene expression (paroxetine vs vehicle) and (ii) to identify molecular signatures of treatment response within a cohort of paroxetine-treated animals. We identified 112 differentially expressed genes associated with paroxetine treatment. The extreme group comparison (good vs poor responder) yielded 211 differentially expressed genes. General paroxetine effects could be distinguished from treatment response-associated molecular signatures, with a differential gene expression overlap of only 4.6% (15 genes). Biological pathway enrichment and cluster analyses identified candidate mechanisms associated with good treatment response, e.g., neuropeptide signaling, synaptic transmission, calcium signaling, and regulation of glucocorticoid secretion. Finally, we examined glucocorticoid receptor (GR)-dependent regulation of selected response-associated genes to analyze a hypothesized interplay between GR signaling and good antidepressant treatment response. Among the most promising candidates, we suggest potential targets such as the developmental gene Otx2 or Htr2c for further investigations into antidepressant treatment response in the future. Nature Publishing Group UK 2021-01-05 /pmc/articles/PMC7791134/ /pubmed/33414410 http://dx.doi.org/10.1038/s41398-020-01136-2 Text en © The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Herzog, David P. Pascual Cuadrado, Diego Treccani, Giulia Jene, Tanja Opitz, Verena Hasch, Annika Lutz, Beat Lieb, Klaus Sillaber, Inge van der Kooij, Michael A. Tiwari, Vijay K. Müller, Marianne B. A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title | A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title_full | A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title_fullStr | A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title_full_unstemmed | A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title_short | A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
title_sort | distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7791134/ https://www.ncbi.nlm.nih.gov/pubmed/33414410 http://dx.doi.org/10.1038/s41398-020-01136-2 |
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