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Record W4382986767 · doi:10.1111/fcp.12937

Ephrin B/EphB in neuropathic pain: Role and molecular mechanisms

2023· review· en· W4382986767 on OpenAlexaff
Sahibpreet Kaur, Anjana Bali, Nirmal Singh, Amteshwar Singh Jaggi

Bibliographic record

VenueFundamental and Clinical Pharmacology · 2023
Typereview
Languageen
FieldNeuroscience
TopicAxon Guidance and Neuronal Signaling
Canadian institutionsSurrey Memorial Hospital
Fundersnot available
KeywordsErythropoietin-producing hepatocellular (Eph) receptorEphrinNeuropathic painAxon guidanceNeuroscienceCell biologyMedicineKinaseReceptor tyrosine kinaseSignal transductionBiologyAxon

Abstract

fetched live from OpenAlex

Ephrins are protein ligands that act through the tyrosine kinase receptor family, Eph receptors. The role of ephrin/Eph in the critical processes involved in the development of the nervous system, including axon guidance and cell migration, has been well documented. Moreover, studies have shown an upregulation of ephrin B1/EphB1 and ephrin B2/EphB2 in neuropathic pain of different etiology. The activation of the ephrin B/EphB system in the dorsal root ganglion and dorsal horn of the spinal cord may be essential in initiating and maintaining neuropathic pain. Accordingly, it can be proposed that the pharmacological inhibitors of EphB receptors may be potentially employed to manage the manifestations of pain. One of the primary mechanisms involved in ephrin B/EphB-mediated synaptic plasticity includes phosphorylation and activation of NMDA receptors, which may be secondary to activation of different kinases, including MAP kinases (MAPK), protein kinase C (PKC), and Src family kinases (SFK). The other molecular mechanisms may include activation of inflammatory cytokines in the spinal cord, caspase-3, calpain-1, phosphoinositide 3-kinase (PI3K), protein kinase A (PKA), and cAMP Response Element-Binding Protein (CREB). The present review discusses the role and molecular mechanisms involved in ephrin B/EphB-mediated neuropathic pain of different etiology.

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)0.001
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 score0.989
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.001
Research integrity0.0000.001
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 head0.152
GPT teacher head0.440
Teacher spread0.288 · 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

Citations6
Published2023
Admission routes1
Has abstractyes

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