5-Hydroxytryptamine 2A receptor antagonists as potential treatment for psychiatric disorders
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".