Sign in
NeurosciencebioRxiv
Preprint

Genome-wide translating mRNA analysis following ketamine reveals novel targets for antidepressant treatment

Oliver H MilleriD, Nils GraboleiD, Isabelle Wells, Benjamin J. HalliD

Abstract

Low-dose ketamine is an efficacious antidepressant for treatment-resistant unipolar and bipolar depressed patients. Major Depression Disorder patients receiving a single infusion report elevated mood within two hours, and ketamines antidepressant effects have been observed as long as seven days post-treatment. In light of this remarkable observation, efforts have been undertaken to \"reverse-translate\" ketamines effects to understand its mechanism of action. Major advances have been achieved in understanding the molecular, cellular, and circuit level changes that are initiated by low-dose ketamine. Although enhancement of protein synthesis clearly plays a role, the field lacks a comprehensive understanding of the protein synthesis program initiated after ketamine treatment. Here, using ribosome-bound mRNA footprinting and deep sequencing (RiboSeq), we uncover a genome-wide set of actively translated mRNAs (the translatome) in medial prefrontal cortex after an acute antidepressant-like dose of ketamine. Gene Ontology analysis confirmed that initiation of protein synthesis is a defining feature of antidepressant-dose ketamine in mice and Gene Set Enrichment Analysis points to a role for GPCR signaling, metabolism, vascularization, and structural plasticity in ketamines effects. One gene, VIPR2, whose protein product VPAC2 acts as a GPCR for the neuropeptide vasoactive intestinal peptide, was characterized in cortex and identified as a potential novel target for antidepressant action.

02 /Specification & Classification

Click any tag to browse matching papers

Reproducibility ledger

Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.

Sign in to file a reproducibility report.

Similarity Map
SelectedSame fieldCross-field
THISAbdallah '18Cui '25Es-Safi '25Zaytseva '23Pham '20Fogaça '24
69% semantic matchNeuroscience
Chadi G. Abdallah, Lynnette A. Averill, Ralitza V. Gueorguieva+9 more·bioRxiv·Dec 19, 2018· 30 citations