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Record W4401654837 · doi:10.1007/s40263-024-01114-y

Glutamatergic Modulators for Major Depression from Theory to Clinical Use

2024· review· en· W4401654837 on OpenAlexaff
Roger S. McIntyre, Rakesh Jain

Bibliographic record

VenueCNS Drugs · 2024
Typereview
Languageen
FieldMedicine
TopicTreatment of Major Depression
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsGlutamatergicPsychopharmacologyDepression (economics)NeuroscienceMedicinePsychologyPsychiatryGlutamate receptorReceptorInternal medicine

Abstract

fetched live from OpenAlex

Major depressive disorder (MDD) is a chronic, burdensome, highly prevalent disease that is characterized by depressed mood and anhedonia. MDD is especially burdensome as approved monoamine antidepressant treatments have weeks-long delays before clinical benefit and low remission rates. In the past 2 decades, a promising target emerged to improve patient outcomes in depression treatment: glutamatergic signaling. This narrative review provides a high-level overview of glutamate signaling in synaptogenesis and neural plasticity and the implications of glutamate dysregulation in depression. Based on this preclinical evidence implicating glutamate in depression and the rapid improvement of depression with ketamine treatment in a proof-of-concept trial, a range of N-methyl-d-aspartate (NMDA)-targeted therapies have been investigated. While an array of treatments has been investigated in registered phase 2 or 3 clinical trials, the development of most of these agents has been discontinued. Multiple glutamate-targeted antidepressants are actively in development, and two are approved. Nasal administration of esketamine (Spravato®) was approved by the US Food and Drug Administration (FDA) in 2019 to treat adults with treatment-resistant depression and in 2020 for adults with MDD with acute suicidal ideation or behavior. Oral combination dextromethorphan–bupropion (AXS-05, Auvelity® extended-release tablet) was FDA approved in 2022 for the treatment of MDD in adults. These approvals bolster the importance of glutamate in depression and represent an exciting breakthrough in contemporary psychiatry, providing new avenues of treatment for patients as first-line therapy or with either poor response or unacceptable side effects to monoaminergic antidepressants. Major depressive disorder (MDD) is a common disease defined by sadness and a loss of interest or pleasure in activities. Depression treatments include therapy and antidepressant medication. Most available antidepressants affect the same types of chemicals that communicate in the brain (neurotransmitters) called monoamines. Unfortunately, these medicines can take weeks to work for some people and many still have depression symptoms with treatment. To provide more treatment options, new medicines have been studied that impact a different neurotransmitter in the brain, that is, glutamate. Glutamate, the most abundant neurotransmitter, is important for the growth of new brain cell connections, and there are changes in glutamate in people with depression versus people without depression. In 2000, the first small study in people showed that ketamine, a medicine targeting glutamate, quickly improved depression symptoms. Safety risks, including dissociation and sedation, require supervised administration and management guidance. Since 2000, about 20 glutamate-targeted medicines have been tested in human clinical trials. Two of these are approved as antidepressants. The medicine esketamine, which is inhaled up the nose at a clinic under medical supervision, is approved for the adjunctive treatment of people with MDD whose symptoms do not improve with other treatments or who have suicidal thoughts or actions (brand name Spravato®). The combination medicine dextromethorphan–bupropion is a swallowed tablet taken twice daily that is an approved monotherapy to treat adults with MDD (brand name Auvelity®). The approval of these drugs helps show the importance of glutamate in depression and provides more options for people with depression.

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)0.001
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0090.004

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 head0.104
GPT teacher head0.441
Teacher spread0.337 · 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 designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations55
Published2024
Admission routes1
Has abstractyes

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