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Effects of a novel tripeptide on neurological outcomes after spinal cord injury

2006· article· en· W2060107830 on OpenAlexaff
Sunil M. John, Feng Bao, Yuhua Chen, R. D. Mathison, Lynne C. Weaver

Bibliographic record

VenueNeuroreport · 2006
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsSpinal Cord Injury BCUniversity of CalgaryRobarts Clinical Trials
Fundersnot available
KeywordsSpinal cord injuryMedicineSpinal cordAnesthesiaGlutamate receptorTripeptideInternal medicineChemistryAmino acid

Abstract

fetched live from OpenAlex

A biologically active tripeptide [phenylalanine glutamate glycine (feG)] derived from the submandibular gland has anti-inflammatory actions. We have shown that intravenous treatment with feG after spinal cord injury decreases the intraspinal infiltration of leukocytes and associated oxidative damage within 72 h after injury. The present study assessed effects of this treatment on chronic neurological outcomes after clip-compression spinal cord injury at the 12th thoracic segment. Locomotor scores of feG-treated rats were significantly higher than those of controls at 7 weeks after spinal cord injury. Treated rats had significantly less hind paw mechanical allodynia than controls at this time. In conclusion, the anti-inflammatory and anti-oxidative actions of feG treatment correlate with improved neurological outcomes after spinal cord injury.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.156
Threshold uncertainty score0.691

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.040
GPT teacher head0.380
Teacher spread0.340 · 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 designObservational
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

Citations8
Published2006
Admission routes1
Has abstractyes

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