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Record W4214611031 · doi:10.1517/eobt.3.7.1093.21269

Peptide action in stroke therapy

2003· article· en· W4214611031 on OpenAlexaff
Michelle Aarts, Michael Tymianski

Bibliographic record

VenueExpert Opinion on Biological Therapy · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsExcitotoxicityGlutamate receptorGlutamatergicNeuroscienceNeurotransmissionReceptorBiologyExcitatory postsynaptic potentialPostsynaptic potentialPharmacologyCell biologyInhibitory postsynaptic potentialBiochemistry

Abstract

fetched live from OpenAlex

Glutamate receptor antagonists, although effective in preventing in vitro excitotoxic death, also block the glutamatergic signalling that is essential for normal excitatory neurotransmission and neuronal survival. This has contributed to the failure of clinical trials employing glutamate receptor antagonists as stroke therapeutics. However, recent years have seen an increased understanding of the molecular organisation of glutamate receptors in the neuronal postsynaptic density. This and a dissection of their associated intracellular signalling cascades has allowed the identification of distinct pathways responsible for excitotoxicity. It has become possible to uncouple toxic signalling cascades from glutamate receptors by targeting the interactions of membrane receptors with downstream proteins. Toxic signalling can be effectively uncoupled from glutamate receptors using targeted, cell-permeable peptides to disrupt specific protein–protein interactions. This approach does not block essential excitatory neurotransmission, but attenuates neurotoxic signals specifically and reduces stroke damage. This novel approach to blocking excitotoxic signalling in cerebral ischaemia may constitute a practical approach to stroke therapy.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.362
Threshold uncertainty score0.795

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 head0.353
GPT teacher head0.454
Teacher spread0.101 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

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