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Record W1984861197 · doi:10.1517/14728222.9.4.699

The ERK/MAPK pathway, as a target for the treatment of neuropathic pain

2005· review· en· W1984861197 on OpenAlexaff
Weiya Ma, Rémi Quirion

Bibliographic record

VenueExpert Opinion on Therapeutic Targets · 2005
Typereview
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsMcGill UniversityDouglas Mental Health University Institute
Fundersnot available
KeywordsMAPK/ERK pathwayNeuropathic painPeripheral nerve injuryMicrogliaMedicinePhosphorylationNerve injuryProtein kinase AKinaseNeuroscienceExtracellularCell biologyPharmacologyAnesthesiaInternal medicineBiologySciatic nerveInflammation

Abstract

fetched live from OpenAlex

Peripheral nerve injury produces neuropathic pain as well as phosphorylation of mitogen activated protein kinase (MAPK) family in dorsal root ganglia (DRG) and dorsal horn. Following nerve injury, phosphorylation of extracellular signal-regulated protein kinase (ERK), an important member of this family, is sequentially increased in neurons, microglia and astrocytes of the dorsal horn and gracile nucleus, and in injured large DRG neurons. Nerve injury-induced phosphorylation of ERK occurs early and is long-lasting. In several animal models of neuropathic pain, MEK inhibitors, known to suppress the synthesis of ERK, have proven effective to alleviate pain at various time points. Thus, the regulation of ERK/MAPK can be considered as a promising therapeutic target for the treatment 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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
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 head0.090
GPT teacher head0.389
Teacher spread0.299 · 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 designOther design
Domainnot available
GenreReview

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

Citations165
Published2005
Admission routes1
Has abstractyes

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