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Record W7056937433

Glutamate excitotoxicity is involved in motor dysfunctions and paralysis following infection by a human respiratory coronavirus

2012· other· en· W7056937433 on OpenAlexaboutno aff

Bibliographic record

VenueEspaceINRS (National Institute for Scientific Research (Canada)) · 2012
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsExcitotoxicityMemantineNeuroprotectionGlutamate receptorNeuropathologyAmyotrophic lateral sclerosisCoronavirusNMDA receptorViral replication
DOInot available

Abstract

fetched live from OpenAlex

Human coronaviruses (HCoV) are respiratory pathogens. We \nhave reported that strain HCoV-OC43 can infect human neuronal and glial cells, activate neuroinflammatory and neurodegenerative mechanisms, thus possibly be involved in \nneurological disease of unknown etiology, such as multiple \nsclerosis (MS). Using an animal model, we reported that a viral \npersistence-associated point mutation in the viral spike S glycoprotein (Y241H) modified neuropathology from encephalitis \nto MS-related hind-limb paralysis. Viral CNS infections may \ninduce excitotoxicity, a pathological process by which neurons \nare damaged and die following an excessive stimulation by the \nglutamate neurotransmitter on its specific ionotropic receptors \n(AMPAr and NMDAr). We have previously shown that the \nparalytic disease induced by the HCoV-OC43 S mutant \ninvolves (AMPAr)-mediated glutamate excitotoxicity. \nGiven that overactivation of the N-methyl-D-aspartic acid receptor (NMDAr) may also lead to excitotoxicity, pharmacological research has focused on the development of NMDAr \nantagonists. Memantine is one such molecule: it modulates \nglutamate excitotoxicity and is widely used for treatment of \nhuman neurological disorders such as MS. We now show that a \nlow dose of memantine (1 μg/g body weight) improved clinical \nscores related to paralytic disease in mice infected by the \nHCoV-OC43 S mutant, without affecting viral replication. \nHowever, a 10-fold higher dose attenuated both the clinical \nscores, related to paralysis and motor dysfunctions, and mortality rates. Memantine attenuated virus replication in a dosedependent manner in cell culture, compared to dizocilpine \n(MK-801), another NMDAr antagonist, which neither affected \nvirus replication nor reduced mortality rates. Studies are currently underway to investigate the mechanisms underlying such \ndose-dependent neuroprotective and antiviral activities of \nmemantine. (Supported by operating grant MT-9203 from Canadian Institutes of Health Research (CIHR) to Pierre J. Talbot, \nwho is the holder of the Tier 1 (Senior) Canada Research Chair \nin Neuroimmunovirology award. Elodie Brison acknowledges \na doctoral studentship from the MS Society of Canada).

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

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 head0.055
GPT teacher head0.338
Teacher spread0.283 · 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 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
Published2012
Admission routes1
Has abstractyes

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