Literature DB >> 33414410

A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells.

David P Herzog1,2, Diego Pascual Cuadrado3, Giulia Treccani1,4, Tanja Jene1,2, Verena Opitz1, Annika Hasch1, Beat Lutz2,3, Klaus Lieb1,2, Inge Sillaber5, Michael A van der Kooij1,2, Vijay K Tiwari6,7, Marianne B Müller8,9.   

Abstract

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.

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Year:  2021        PMID: 33414410      PMCID: PMC7791134          DOI: 10.1038/s41398-020-01136-2

Source DB:  PubMed          Journal:  Transl Psychiatry        ISSN: 2158-3188            Impact factor:   6.222


  46 in total

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Journal:  Rev Neurosci       Date:  2004       Impact factor: 4.353

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Authors:  Vaishnav Krishnan; Ming-Hu Han; Danielle L Graham; Olivier Berton; William Renthal; Scott J Russo; Quincey Laplant; Ami Graham; Michael Lutter; Diane C Lagace; Subroto Ghose; Robin Reister; Paul Tannous; Thomas A Green; Rachael L Neve; Sumana Chakravarty; Arvind Kumar; Amelia J Eisch; David W Self; Francis S Lee; Carol A Tamminga; Donald C Cooper; Howard K Gershenfeld; Eric J Nestler
Journal:  Cell       Date:  2007-10-19       Impact factor: 41.582

3.  Epigenetics and energetics in ventral hippocampus mediate rapid antidepressant action: Implications for treatment resistance.

Authors:  Benedetta Bigio; Aleksander A Mathé; Vasco C Sousa; Danielle Zelli; Per Svenningsson; Bruce S McEwen; Carla Nasca
Journal:  Proc Natl Acad Sci U S A       Date:  2016-06-27       Impact factor: 11.205

4.  The burden of treatment-resistant depression: A systematic review of the economic and quality of life literature.

Authors:  Karissa M Johnston; Lauren C Powell; Ian M Anderson; Shelagh Szabo; Stephanie Cline
Journal:  J Affect Disord       Date:  2018-06-27       Impact factor: 4.839

5.  Molecular characterisation of antidepressant effects in the mouse brain using gene expression profiling.

Authors:  J Landgrebe; G Welzl; T Metz; M M van Gaalen; H Ropers; W Wurst; F Holsboer
Journal:  J Psychiatr Res       Date:  2002 May-Jun       Impact factor: 4.791

Review 6.  Neural Substrates of Depression and Resilience.

Authors:  Ming-Hu Han; Eric J Nestler
Journal:  Neurotherapeutics       Date:  2017-07       Impact factor: 7.620

7.  Dissection of hippocampal dentate gyrus from adult mouse.

Authors:  Hideo Hagihara; Keiko Toyama; Nobuyuki Yamasaki; Tsuyoshi Miyakawa
Journal:  J Vis Exp       Date:  2009-11-17       Impact factor: 1.355

8.  Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015.

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Journal:  Lancet       Date:  2016-10-08       Impact factor: 79.321

9.  Antidepressants increase human hippocampal neurogenesis by activating the glucocorticoid receptor.

Authors:  C Anacker; P A Zunszain; A Cattaneo; L A Carvalho; M J Garabedian; S Thuret; J Price; C M Pariante
Journal:  Mol Psychiatry       Date:  2011-04-12       Impact factor: 15.992

Review 10.  Understanding and Predicting Antidepressant Response: Using Animal Models to Move Toward Precision Psychiatry.

Authors:  David P Herzog; Holger Beckmann; Klaus Lieb; Soojin Ryu; Marianne B Müller
Journal:  Front Psychiatry       Date:  2018-10-22       Impact factor: 4.157

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