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Record W3024942130 · doi:10.1310/5na7-mbgu-q2tu-n41q

Targeting Rho to Stimulate Repair After Spinal Cord Injury

2003· article· en· W3024942130 on OpenAlexaff
Lisa McKerracher, Matthew J. Winton

Bibliographic record

VenueTopics in Spinal Cord Injury Rehabilitation · 2003
Typearticle
Languageen
FieldNeuroscience
TopicNerve injury and regeneration
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineSpinal cord injuryPhysical medicine and rehabilitationSpinal cordPsychiatry

Abstract

fetched live from OpenAlex

Growth inhibitory proteins block axon regeneration in the CNS. Many growth inhibitory proteins have been identified, and the Nogo66 receptor (NgR) binds the three major myelin-derived inhibitors. Many studies now indicate that NgR signals to the small GTPase Rho. Our studies have shown that Rho is an important intracellular target for overcoming growth inhibition and promoting axon regeneration after injury. The inactivation of the Rho signaling pathway promotes neurite outgrowth of primary neuronal cell cultures plated on growth inhibitory substrates. To inactivate Rho signaling, C3 transferase, C3-05 (Cethrin™; a more potent C3 transferase derivative), and Y-27632, an inhibitor of Rho kinase, have been tested. In vivo, we have documented the regeneration of transected axons after treatment with C3 transferase, C3-05, and Y-27632. C3 transferase and C3-05 have been tested in two animal models: microcrush lesion of the adult rat optic nerve and over-hemisection of adult mouse spinal cord. Treatment with C...

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 score0.002
Threshold uncertainty score0.006

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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.032
GPT teacher head0.352
Teacher spread0.319 · 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

Citations2
Published2003
Admission routes1
Has abstractyes

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