Early life stress alters transcriptomic patterning across reward circuitry in male and female mice

Catherine Jensen Peña (), Milo Smith, Aarthi Ramakrishnan, Hannah M. Cates, Rosemary C. Bagot, Hope G. Kronman, Bhakti Patel, Austin B. Chang, Immanuel Purushothaman, Joel Dudley, Hirofumi Morishita, Li Shen and Eric J. Nestler ()
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Catherine Jensen Peña: Icahn School of Medicine at Mount Sinai
Milo Smith: Icahn School of Medicine at Mount Sinai
Aarthi Ramakrishnan: Icahn School of Medicine at Mount Sinai
Hannah M. Cates: Icahn School of Medicine at Mount Sinai
Rosemary C. Bagot: Icahn School of Medicine at Mount Sinai
Hope G. Kronman: Icahn School of Medicine at Mount Sinai
Bhakti Patel: Icahn School of Medicine at Mount Sinai
Austin B. Chang: Princeton University
Immanuel Purushothaman: Icahn School of Medicine at Mount Sinai
Joel Dudley: Icahn School of Medicine at Mount Sinai
Hirofumi Morishita: Icahn School of Medicine at Mount Sinai
Li Shen: Icahn School of Medicine at Mount Sinai
Eric J. Nestler: Icahn School of Medicine at Mount Sinai

Nature Communications, 2019, vol. 10, issue 1, 1-13

Abstract: Abstract Abuse, neglect, and other forms of early life stress (ELS) significantly increase risk for psychiatric disorders including depression. In this study, we show that ELS in a postnatal sensitive period increases sensitivity to adult stress in female mice, consistent with our earlier findings in male mice. We used RNA-sequencing in the ventral tegmental area, nucleus accumbens, and prefrontal cortex of male and female mice to show that adult stress is distinctly represented in the brain’s transcriptome depending on ELS history. We identify: 1) biological pathways disrupted after ELS and associated with increased behavioral stress sensitivity, 2) putative transcriptional regulators of the effect of ELS on adult stress response, and 3) subsets of primed genes specifically associated with latent behavioral changes. We also provide transcriptomic evidence that ELS increases sensitivity to future stress through enhancement of known programs of cortical plasticity.

Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:10:y:2019:i:1:d:10.1038_s41467-019-13085-6

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DOI: 10.1038/s41467-019-13085-6

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