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Record W2059116424 · doi:10.1159/000085994

Differential Effects of Hypoxia-Ischemia on Phosphorylation of the N-Methyl-<i>D</i>-Aspartate Receptor in One- and Three-Week-Old Rats

2005· article· en· W2059116424 on OpenAlexafffund
Shilpa Vij, Susan J. Vannucci, James W. Gurd

Bibliographic record

VenueDevelopmental Neuroscience · 2005
Typearticle
Languageen
FieldNeuroscience
TopicNeuroscience and Neuropharmacology Research
Canadian institutionsThe Scarborough HospitalUniversity of Toronto
FundersEunice Kennedy Shriver National Institute of Child Health and Human DevelopmentHeart and Stroke Foundation of Canada
KeywordsPhosphorylationNMDA receptorInternal medicineEndocrinologyHypoxia (environmental)IschemiaReceptorLigationProtein kinase CChemistryBiologyMedicineBiochemistryOxygen

Abstract

fetched live from OpenAlex

The effects of transient cerebral hypoxia-ischemia (HI) on phosphorylation of the NR1 subunit of the N-methyl-D-aspartate (NMDA) receptor were investigated in 7 (P7)- and 21 (P21)-day-old rats. Unilateral HI was induced by ligation of the right common carotid artery and exposure to 8% O(2)/92% N(2) for 120 (P7) or 90 (P21) min. Phosphorylation by protein kinase A (PKA; S897) and PKC (S896 and S890) was depressed in the ipsilateral hemisphere relative to both naïve controls and the contralateral hemisphere immediately following HI at both ages. At P7, but not P21, reperfusion resulted in an initial recovery to control phosphorylation levels at all 3 sites followed by a secondary decline. At both ages, pS896 was less than control values after 24 h of recovery, whereas pS890 had returned to control levels by this time. pS897 recovered to control levels by 24 h in P21 animals but not in P7 animals. Differential effects of HI on phosphorylation of the NMDA receptor at P7 and P21 may contribute to age-related changes in sensitivity to HI.

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)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.034
GPT teacher head0.277
Teacher spread0.242 · 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

Citations6
Published2005
Admission routes2
Has abstractyes

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