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Record W4399883347 · doi:10.21203/rs.3.rs-4149042/v1

Npbwr1 signaling mediates fast antidepressant action

2024· preprint· en· W4399883347 on OpenAlexaff
Olivia Engmann, G. Stein, Janine Aly, Lisa De Lange, Annamaria Manzolillo, Konstantin Riege, Anna Brancato, Christian A. Hübner, Gustavo Turecki, Steve Hoffmann

Bibliographic record

VenueResearch Square · 2024
Typepreprint
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsAntidepressantNucleus accumbensDepression (economics)Major depressive disorderChronic stressBiomarkerMoodAntagonistMedicineRegulatorPsychologyInternal medicineNeurosciencePsychiatryReceptorHippocampusBiologyGene

Abstract

fetched live from OpenAlex

Abstract Chronic stress is a major risk factor for depression, a leading cause of disability and suicide. Because current antidepressants work slowly, have common side effects, and are only effective in a minority of patients, there is an unmet need to identify the underlying molecular mechanisms. Here, we reveal the receptor for neuropeptides B and W, Npbwr1, as a key regulator of depressive-like symptoms. Npbwr1 is increased in the nucleus accumbens of chronically stressed mice and postmortem in patients diagnosed with depression. Using viral-mediated gene transfer, we demonstrate a causal link between Npbwr1, dendritic spine morphology, the biomarker Bdnf, and depressive-like behaviors. Importantly, microinjection of the synthetic antagonist of Npbwr1, CYM50769, rapidly ameliorates depressive-like behavioral symptoms and alters Bdnf levels. CYM50769 is selective, well tolerated, and shows effects up to 7 days after administration of a single dose. In summary, these findings drastically advance our understanding of mood and chronic stress and warrant further investigation of CYM50769 as a potential fast-acting antidepressant.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0080.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.136
GPT teacher head0.419
Teacher spread0.283 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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