ReviewThe international journal of neuropsychopharmacology2024
Therapeutic potential of D-amino acid oxidase inhibitors for cognitive impairment associated with schizophrenia: learnings from luvadaxistat.
Review in The international journal of neuropsychopharmacology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed.
- A phase 2 randomized controlled trial of luvadaxistat in treatment of adults with cognitive impairment associated with schizophrenia: results from the ERUDITE study.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2026Trial
- Glutamatergic Modulators in Schizophrenia: Are We Ready to Move Beyond the Narrow Focus on Dopamine? A Potential Paradigm Shift in Psychopharmacology.Alpha psychiatry · 2026Article
- Targeting endoplasmic reticulum stress and protein misfolding in schizophrenia: the emerging promise of sigma-1 receptor agonists.Psychopharmacology · 2026Review
- New Pharmacological Treatment Approaches for Schizophrenia: Navigating the Post-iclepertin Landscape.CNS drugs · 2026Review
- Emerging non-DFrontiers in psychiatry · 2026Review
- Unraveling the mysteries of schizophrenia: Insights into prefrontal cortex dysfunction and therapeutic implications.World journal of psychiatry · 2025Review
- Impact of D-Amino Acids in Schizophrenia.Biomolecules · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Hypofunction of the N-methyl-D-aspartate receptor (NMDAR) has been proposed to underlie the pathophysiology of schizophrenia, suggesting that promoting NMDAR activity may alleviate the negative or cognitive symptoms associated with schizophrenia. To circumvent excitotoxicity that may accompany direct agonism of the glutamate binding site on the NMDAR, therapeutic trials have focused on targeting the glycine binding site on the NMDAR. Direct administration of either glycine or D-serine, both of which are endogenous coagonists at the NMDAR glycine site, has yielded mixed outcomes across an array of clinical trials investigating different doses or patient populations. Furthermore, directly administering D-serine and glycine is challenging, and thus attention has turned to alternative, indirect methods that increase endogenous D-serine and glycine levels in the brain, such as D-amino acid oxidase (DAAO) inhibitors and glycine transporter 1 inhibitors, respectively. In this review, we provide an overview of the evidence supporting the potential of NMDAR modulators in general, and DAAO inhibitors in particular, as potential adjunctive treatments for schizophrenia. We also discuss the preclinical and clinical data related to luvadaxistat, an investigational highly selective and potent DAAO inhibitor that was under development for the treatment of the cognitive impairment associated with schizophrenia.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.