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Record W1972659294 · doi:10.1016/s0304-3959(02)00097-0

Partial sciatic nerve ligation induces increase in the phosphorylation of extracellular signal-regulated kinase (ERK) and c-Jun N-terminal kinase (JNK) in astrocytes in the lumbar spinal dorsal horn and the gracile nucleus

2002· article· en· W1972659294 on OpenAlexafffund
Weiya Ma, Rémi Quirion

Bibliographic record

VenuePain · 2002
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill University
FundersCanadian Institutes of Health ResearchMcGill University
KeywordsSciatic nerveMAPK/ERK pathwayCell biologyNeuropathic painSciatic nerve injuryKinaseProtein kinase AChemistrySignal transductionNeuroscienceBiologyAnatomy

Abstract

fetched live from OpenAlex

The activation of glial cells in the spinal dorsal horn and the gracile nucleus by inflammation and nerve injury has been suggested to be involved in neuronal plasticity and central sensitization, hence contributing to tactile allodynia. The aim of this study was to determine the possible intracellular signal transduction pathway associated with glial cells, which have been activated by partial sciatic nerve ligation (PSNL), a well-characterized rat model of neuropathic pain. At 3 weeks post-lesion, PSNL markedly increased glia fibrillary acidic protein (GFAP) immunoreactive (IR) astrocytes in both the L4-5 spinal dorsal horn and the gracile nucleus. Moreover, PSNL increased the phosphorylation of mitogen activated protein (MAP) kinases, including the extracellular signal-regulated kinase (ERK) and c-Jun N-terminal kinase (JNK), but not p38, in glia-like cells in these same areas. Both phosphorylated (p) ERK- and JNK-IR cells were co-localized with GFAP, suggesting their expression in reactive astrocytes. In summary, our data indicate that PSNL activates ERK/MAP and JNK/MAP kinase pathways in astrocytes in the dorsal horn and the gracile nucleus, these events possibly being involved in the pathogenesis of neuropathic pain.

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)0.005
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.430
Threshold uncertainty score0.411

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
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 integrity0.0000.000
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 head0.016
GPT teacher head0.236
Teacher spread0.220 · 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

Citations202
Published2002
Admission routes2
Has abstractyes

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