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Record W4380624259 · doi:10.9734/bpi/namms/v5/5691b

Auvelity as a Potential Treatment for Alzheimer’s Disease

2023· book-chapter· en· W4380624259 on OpenAlexaff
Charles M. Lepkowsky

Bibliographic record

Venuenot available
Typebook-chapter
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPharmacological Receptor Mechanisms and Effects
Canadian institutionsMinistry of Labour, Employment and Social Solidarity
Fundersnot available
KeywordsMemantineExcitotoxicityNMDA receptorGlutamatergicNeuroscienceNeurodegenerationMedicineAgonistPharmacologyGlutamate receptorPsychologyDiseaseReceptorInternal medicine

Abstract

fetched live from OpenAlex

Auvelity was approved by the FDA in 2022 for the treatment of Major Depressive Disorder in adults. Auvelity’s relevant mechanisms of action are a combination of NMDA receptor blockade with consequent antagonism of the glutamatergic neurotransmitter pathway, and sigma-1 receptor agonism. Major Depressive Disorder and Alzheimer’s disease share a significant association. Glutamatergic excitotoxicity via NMDA receptors is believed to be a key mechanism underlying neurodegeneration in Alzheimer’s Disease, the most frequent form of dementia in older adults. NMDA antagonists like Memantine appear to inhibit glutamatergic excitotoxicity via blockade of NMDA receptors. As a sigma-1 receptor agonist, Memantine also increases dopaminergic activation. Memantine’s benefit for improving memory, cognition and general functioning in AD patients is generally attributed to the combination of these two mechanisms. Because AD medications like Memantine and Auvelity share the same mechanism of action, it is hypothesized that Auvelity has potential as a medical treatment for reducing the symptoms of Alzheimer’s disease.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.730
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.049
GPT teacher head0.321
Teacher spread0.271 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2023
Admission routes1
Has abstractyes

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