Omics · study · 2026
Mechanism-guided identification of antidepressant G protein-coupled receptor drug targets
Listed in NCBI GEO
Depression is a psychiatric disorder that is widely thought to be driven by dysregulation at the molecular and synaptic levels that disrupts the function of discrete neural circuits which, ultimately, drive behavioral symptoms.
Description
While therapeutic approaches have typically been based on the serendipitous identification of symptom-alleviating compounds, a deeper understanding of the mechanisms underlying the pathophysiology and treatment of depression is needed to guide the development of new therapeutics.
Here we decipher mechanisms of action of the fast-acting antidepressant ketamine to enable the identification of new G protein-coupled receptor (GPCR) antidepressant targets. We find that the behavioral effects of ketamine rely on agonism of mu-opioid receptors, which are enriched in somatostatin-expressing interneurons (Sst+ INs) in the medial prefrontal cortex (mPFC). Chronic stress drives presynaptic hypertrophy of mPFC Sst+ INs and excessive inhibition of pyramidal neurons, which is rescued by ketamine.
Read the rest (1 more)
Driven by these findings, we use RNA sequencing to identify a plethora of mPFC Sst+ IN-enriched GPCRs and validate the antidepressant potential of novel GPCR targets. Synergistic targeting of multiple Sst+ IN-enriched GPCRs enables potent antidepressant-like responses with a reduced side effect profile compared to ketamine. Together this study provides new mechanistic insights with promise to improve antidepressant strategies while revealing a general approach to identifying new therapeutic GPCR targets for brain disorders.
Links
Get the data
- GEO FTP directory ftp.ncbi.nlm.nih.gov/geo/series/GSE264nnn/GSE264279 ↗
download · from NCBI GEO
Where it is published
- GEO accession page ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE264279 ↗
landing page · from NCBI GEO
Documentation and papers
- PRJNA1101850 ncbi.nlm.nih.gov/bioproject/PRJNA1101850 ↗
project · from NCBI GEO
- PubMed 42030928 pubmed.ncbi.nlm.nih.gov/42030928 ↗
publication · from NCBI GEO
Topics
- Stated by source
- Expression profiling by high throughput sequencing · Mus musculus
- From keywords
- Life Sciences
- Inferred from text
- RNA sequencing 75% · Sequencing 75%
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| NCBI GEO | GSE264279 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| concepts[method].geo_series_type:expression-profiling-by-high-throughput-sequencing | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /gdstype |
| concepts[modality].local:modality:rna-seq | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:sequencing | enrichment · NCBI GEO | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[organism].NCBITaxon:10090 | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /taxon |
| description | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /summary |
| publication_date | source · NCBI GEO | connector:ncbi_geo@1.0.0 | |
| title | source · NCBI GEO | connector:ncbi_geo@1.0.0 | /title |