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Record W4407549600 · doi:10.1038/s44220-025-00390-x

An analysis on the role of glucagon-like peptide-1 receptor agonists in cognitive and mental health disorders

2025· article· en· W4407549600 on OpenAlex
Riccardo De Giorgi, Ana Ghenciulescu, Oliwia Dziwisz, Maxime Taquet, Amanda Adler, Ivan Koychev, Rachel Upthegrove, Marco Solmi, Robert A. McCutcheon, Toby Pillinger, Philip J. Cowen, Catherine J. Harmer

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueNature Mental Health · 2025
Typearticle
Languageen
FieldMedicine
TopicDiabetes Treatment and Management
Canadian institutionsOttawa HospitalUniversity of Ottawa
FundersMedical Research CouncilNational Institute for Health and Care ResearchUK Research and InnovationWellcome Trust
KeywordsMental healthReceptorCognitionPsychologyMedicinePsychiatryInternal medicine

Abstract

fetched live from OpenAlex

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) are novel drugs approved for diabetes and obesity. They are acknowledged as a major scientific breakthrough. In addition to their metabolic effects, these medications act on other bodily systems involved in the physiopathology of various neurological and psychiatric disorders. Several stakeholders are calling for more research to investigate the repurposing potential of GLP-1RAs in cognitive and mental disorders, while others advocate for a better assessment of their safety profile from a neuropsychiatric perspective. In this review, we searched for relevant literature on the effects of GLP-1RAs across a range of illnesses, gathering and describing the available pre-clinical/mechanistic (278 studies) and clinical (96 studies) evidence for cognitive disorders, substance use disorders, psychotic disorders, mood and anxiety disorders, eating disorders, and others. By leveraging translational insights from these data, we consider potential implications for clinical practice and propose avenues for further research.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.374
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

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

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 head0.005
GPT teacher head0.312
Teacher spread0.307 · 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