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Expression of tumor necrosis factor alpha and its mRNA in the spinal cord following a weight-drop injury

2002· article· en· W2046570168 on OpenAlexaff
Chen Xu Wang, Christian Reece, Jean R. Wrathall, Ashfaq Shuaib, John A. Olschowka, Chunhai Hao

Bibliographic record

VenueNeuroreport · 2002
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsTumor necrosis factor alphaLesionSpinal cord injurySpinal cordMessenger RNAReverse transcription polymerase chain reactionMedicineNecrosisEndocrinologyInternal medicinePathologyBiologyBiochemistry

Abstract

fetched live from OpenAlex

The effect of traumatic spinal cord injury (SCI) on the expression of tumor necrosis factor (TNFalpha) and its mRNA was examined. Quantitative reverse transcription polymerase chain reaction assay showed TNFalpha mRNA level increased > 20-fold at the lesion site by 1 h after the injury compared to that in uninjured controls. The TNFalpha mRNA level was still significantly higher than in the controls 72 h after the injury. TNFalpha mRNA in the samples collected immediately caudal to the lesion site was also increased. Levels of TNFalpha protein, determined by a cytotoxic bioassay, were also significantly increased at the lesion site. The TNFalpha protein level was maximal 1 and 8 h after the injury and still significantly higher than in the controls 24 h post-injury. The present results demonstrate that TNFalpha is rapidly induced in the spinal cord after the injury, and it may play a significant role in secondary events in SCI.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.540
Threshold uncertainty score0.450

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.083
GPT teacher head0.375
Teacher spread0.291 · 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

Citations23
Published2002
Admission routes1
Has abstractyes

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