TY - JOUR
T1 - A distinct transcriptional signature of antidepressant response in hippocampal dentate gyrus granule cells
AU - Herzog, David P
AU - Pascual Cuadrado, Diego
AU - Treccani, Giulia
AU - Jene, Tanja
AU - Opitz, Verena
AU - Hasch, Annika
AU - Lutz, Beat
AU - Lieb, Klaus
AU - Sillaber, Inge
AU - van der Kooij, Michael A
AU - Tiwari, Vijay K
AU - Müller, Marianne B
N1 - Funding Information:
We would like to thank the Genomics Core Facility at the Institute of Molecular Biology (Mainz, Germany) for excellent technical support and next-generation sequencing services. In addition, we would like to thank Matthias Linke (University Medical Center Mainz, Germany) and Amitava Basu (Institute of Molecular Biology, Mainz, Germany) for helpful advices and technical support with qPCR experiments and Kai Bruns (University Medical Center Mainz, Germany) for running the plasma paroxetine measurements. We also like to thank Hyobin Jeong (now at the EMBL in Heidelberg, Germany) for excellent bioinformatics support and advices. D.P.H. is supported by the Mainz Research School of Translational Biomedicine (TransMed) with a MD-PhD fellowship. T.J. is supported by the Focus Program of Translational Neurosciences (FTN) in Mainz with a PhD fellowship. K.L., B.L., and M.B.M. are supported by the German Research Foundation (DFG) within the Collaborative Research Center 1193 (CRC1193, https://crc1193.de/) and by the Boehringer Ingelheim Foundation.
Publisher Copyright:
© 2021, The Author(s).
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - Animals
KW - Antidepressive Agents/pharmacology
KW - Dentate Gyrus
KW - Depressive Disorder, Major/drug therapy
KW - Hippocampus
KW - Mice
KW - Paroxetine/pharmacology
UR - http://www.scopus.com/inward/record.url?scp=85098856098&partnerID=8YFLogxK
U2 - 10.1038/s41398-020-01136-2
DO - 10.1038/s41398-020-01136-2
M3 - Article
C2 - 33414410
SN - 2158-3188
VL - 11
SP - 4
JO - Translational Psychiatry
JF - Translational Psychiatry
IS - 1
ER -