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Record W2043060245 · doi:10.1176/appi.pn.2014.5b4

Drug to Enhance NMDA Receptors Studied to Treat Negative Symptoms

2014· article· en· W2043060245 on OpenAlexaboutno aff
Joan Arehart-Treichel

Bibliographic record

VenuePsychiatric News · 2014
Typearticle
Languageen
FieldNeuroscience
TopicTryptophan and brain disorders
Canadian institutionsnot available
Fundersnot available
KeywordsNMDA receptorGlutamate receptorSchizophrenia (object-oriented programming)PlaceboReceptorNeuroscienceMedicinePharmacologyDrugClinical trialPsychologyPsychiatryInternal medicine

Abstract

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Back to table of contents Previous article Next article Clinical and Research NewsFull AccessDrug to Enhance NMDA Receptors Studied to Treat Negative SymptomsJoan Arehart-TreichelJoan Arehart-TreichelSearch for more papers by this authorPublished Online:12 May 2014https://doi.org/10.1176/appi.pn.2014.5b4AbstractThough one NMDA receptor enhancer has shown mixed results in treating negative symptoms, experts on the subject believe that these medications might help some patients with such symptoms.An experimental drug called bitopertin, which enhances NMDA receptor activity—that is, boosts glutamate action in the brain—was found in a phase 2 clinical trial to exert modest effects against the negative symptoms of schizophrenia, according to a study by Luca Santarelli, M.D., senior vice-president of neuroscience at Switzerland-based F. Hoffman-La Roche, and colleagues published online April 2 in JAMA Psychiatry.Deficient NMDA receptor activity has been thought to play a role in the negative symptoms of schizophrenia. The NMDA receptor transmits the signaling of glutamate, the major excitatory neurotransmitter in the brain. However, to do its job, the receptor also needs the amino acid glucine to bind to it.Thus Santarelli and his team wondered whether a drug that boosts glycine levels and in turn enhances NMDA receptor activity, such as the experimental drug bitopertin, might counter negative symptoms in individuals with schizophrenia. And they launched a phase 2 randomized, double-blind, placebo-controlled trial in 66 sites in Brazil, France, Germany, Hungary, Japan, Mexico, Poland, Russia, and the United States to find out.The trial involved 323 subjects with schizophrenia and with predominantly negative symptoms. The subjects were randomized to receive, for eight weeks, not only standard antipsychotic therapy, but one of four treatments—bitopertin in daily dosages of either 10 mg, 30 mg, or 60 mg a day, or a placebo. The main outcome measure was a change from baseline in the Positive and Negative Syndrome Scale (PANSS) negative factor score. Functioning was evaluated with the Personal and Social Performance (PSP) scale.The reduction of the PANSS negative factor score was significantly greater in the subjects who received 10 mg or 30 mg a day of bitopertin than in subjects who received a placebo. In contrast, the reductions of the score in subjects who received 60 mg a day of bitopertin and in subjects who received a placebo were comparable. Moreover, the greatest effect of bitopertin on functioning as evaluated with the PSP scale was observed in the bitopertin group taking 10 mg a day. Changes from baseline PSP total score for the other two bitopertin dose groups did not differ from those in the placebo group.“Overall, 10 mg a day of bitopertin was most efficacious in reducing negative symptoms. . .while 30 mg a day produced a similar, but somewhat weaker, effect,” the researchers concluded. They had found comparable results in preclinical studies, they noted. Thus, low or moderate doses of bitopertin appeared to be optimal for best clinical efficacy.In an accompanying editorial, Donald Goff, M.D., a professor of psychiatry at New York University and an expert on translational schizophrenia research, said, “Although the therapeutic effect [of bitopertin] was only modest, this is very welcome news because the path to drug development in schizophrenia has been littered with disappointments.”The bad news, however, Goff pointed out, is that on January 21, Roche announced that two phase 3 trials of bitopertin for negative symptoms failed to achieve primary end points. “Once again, we are faced with the dilemma of an initial rigorous trial providing support for a compound that is well-grounded in preclinical and clinical studies, followed by a failure to replicate. . . .”While expressing his disappointment with the phase 3 results for bitopertin, Serdar Dursun, M.D., a professor of psychiatry and neuroscience at the University of Alberta in Canada, said that he remains optimistic that drugs that enhance the NMDA receptor might ultimately prove useful in treating negative symptoms. “There must be improved clinical trial methods that include identification of biomarkers so as to reduce the patient heterogeneity problem in schizophrenia studies,” he explained. “It is possible that modulating the NMDA receptor complex via the glycine site may require a personalized patient-tailored approach involving perhaps pharmacogenetic and/or other studies on biomarkers.”Indeed, “It’s possible that a subgroup of patients might benefit from these agents, but Roche wasn’t able to identify a biomarker that would predict response,” Goff commented to Psychiatric News.The study was funded by F. Hoffman-LaRoche Ltd. ■An abstract of “Effect of Bitopertin, a Glycine Reuptake Inhibitor, on Negative Symptoms of Schizophrenia” can be accessed here. ISSUES NewArchived

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.129
Threshold uncertainty score0.430

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.1290.041

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 head0.011
GPT teacher head0.279
Teacher spread0.268 · 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 designNon-randomized trial
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".

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Citations0
Published2014
Admission routes1
Has abstractyes

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