5-Hydroxytryptamine 2A receptor antagonists as potential treatment for psychiatric disorders
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.
Bibliographic record
Abstract
INTRODUCTION: 5-Hydroxytryptamine 2A receptors (5-HT2A-Rs) are widely expressed in the brain and have been implicated in mood and behavior. Based on the use of atypical antipsychotics in schizophrenia, antagonism of 5-HT2A-Rs initially emerged as a potential intervention capable of reducing the incidence of extrapyramidal symptoms, while exerting an effective antipsychotic action. More recently, highly selective 5-HT2A-R antagonists have been evaluated in the treatment of a wide range of other psychiatric disorders. AREAS COVERED: The aim of the current review is to present important clinical studies investigating the potential therapeutic effects of 5-HT2A-R antagonists in both primary psychiatric disorders, such as schizophrenia and mood disorders, as well as in psychiatric manifestations of neurodegenerative disorders. We present an overview of 5-HT2A-Rs in normal brain function and the rationale for use in (neuro) psychiatric disease based on significant findings from genetic association studies, neuroimaging data and postmortem studies. The majority of the studies relate to schizophrenia, depression, anxiety, obsessive compulsive disorder and psychosis in Parkinson's disease and Alzheimer's disease. To date, there is sparse literature on 5-HT2A-Rs in Gilles de la Tourette syndrome, attention deficit hyperactivity disorder, eating disorders and autism spectrum disorders. The authors conclude by reviewing recent clinical trials investigating highly selective 5-HT2A-R antagonists in schizophrenia, psychosis in Parkinson's disease, insomnia and generalized anxiety. EXPERT OPINION: Despite the potential, to date, 5-HT2A-R antagonists have not made an impact in the management of psychiatric disorders and psychiatric symptoms of neurodegenerative conditions.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.005 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it