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Record W2080771293 · doi:10.1089/neu.2009.1116

A TrkB Antibody Agonist Promotes Plasticity after Cervical Spinal Cord Injury in Adult Rats

2010· article· en· W2080771293 on OpenAlexaff
Karim Fouad, Romana Vavrek, Seongeun Cho

Bibliographic record

VenueJournal of Neurotrauma · 2010
Typearticle
Languageen
FieldMedicine
TopicSpinal Cord Injury Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsSpinal cord injuryLesionNeuroplasticityCorticospinal tractMedicineSpinal cordAgonistPyramidal tractsAnesthesiaNeuroscienceSurgeryInternal medicineAnatomyPsychologyReceptorMagnetic resonance imaging

Abstract

fetched live from OpenAlex

After spinal cord injury (SCI) in mammals, there is only limited repair and, consequently, only moderate recovery. One mechanism frequently discussed to be involved in this recovery is plasticity (i.e., adaptations in spared neuronal circuitries). In the current study, we tested the effect of an intrathecal application of the TrkB agonist antibody, 29D7, on plasticity after cervical SCI in adult rats. Treatment with 29D7 for 4 weeks resulted in an ∼50% increase in collateral sprouting of severed corticospinal tract fibers above the lesion compared to the control group and enhanced branching in the gray matter rostral to the injury. Growth-associated protein 43 immunoreactivity in the spinal cord rostral to the level of the injury as well as contralateral to the lesion was also increased. These indications of enhanced plasticity by 29D7 were paralleled by improved performances of the mildly affected paw, as assessed by Montoya and tray reaching tasks. The reaching behaviors of the paw ipsilateral to the side of severe injury to the cortico- and rubrospinal tract were not altered by the treatment. The present study suggests that 29D7 may be a potential candidate to promote plasticity and functional recovery, especially after moderate SCI. Future studies confirming these results, along with a potential combinatory therapy including rehabilitative training, will be needed to evaluate the clinical value of such a treatment.

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 categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.797
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.003
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 head0.059
GPT teacher head0.413
Teacher spread0.354 · 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.

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

Citations23
Published2010
Admission routes1
Has abstractyes

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