4.7 Article

Shared Transcriptional Signatures in Major Depressive Disorder and Mouse Chronic Stress Models

Journal

BIOLOGICAL PSYCHIATRY
Volume 88, Issue 2, Pages 159-168

Publisher

ELSEVIER SCIENCE INC
DOI: 10.1016/j.biopsych.2019.12.029

Keywords

Chronic stress; Gene expression; Gene networks; Major depressive disorder; Mouse models; Transcriptomics

Funding

  1. NARSAD Young Investigator award
  2. Canadian Institutes of Health Research [SVB397205]
  3. Natural Science and Engineering Research Council of Canada [RGPIN-2019-06496]
  4. National Institute of Mental Health [P50MH096890, R01MH051399]
  5. Hope for Depression Research Foundation

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BACKGROUND: Most of our knowledge of the biological basis of major depressive disorder (MDD) is derived from studies of chronic stress models in rodents. While these models capture certain aspects of the behavioral and neuroendocrine features of MDD, the extent to which they reproduce the molecular pathology of the human syn-drome remains unknown. METHODS: We systematically compared transcriptional signatures in two brain regions implicated in depression-medial prefrontal cortex and nucleus accumbens-of humans with MDD and of 3 chronic stress models in mice: chronic variable stress, adult social isolation, and chronic social defeat stress. We used differential expression analysis combined with weighted gene coexpression network analysis to create interspecies gene networks and assess the capacity of each stress paradigm to recapitulate the transcriptional organization of gene networks in human MDD. RESULTS: Our results show significant overlap between transcriptional alterations in medial prefrontal cortex and nucleus accumbens in human MDD and the 3 mouse chronic stress models, with each of the chronic stress para-digms capturing distinct aspects of MDD abnormalities. Chronic variable stress and adult social isolation better reproduce differentially expressed genes, while chronic social defeat stress and adult social isolation better repro-duce gene networks characteristic of human MDD. We also identified several gene networks and their constituent genes that are most significantly associated with human MDD and mouse stress models. CONCLUSIONS: This study demonstrates the ability of 3 chronic stress models in mice to recapitulate distinct as-pects of the broad molecular pathology of human MDD, with no one mouse model apparently better than another.

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