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Record W2895801366 · doi:10.1186/s13041-018-0405-4

Disrupting USP5/Cav3.2 interactions protects female mice from mechanical hypersensitivity during peripheral inflammation

2018· article· en· W2895801366 on OpenAlexafffund
Vinícius M. Gadotti, Gerald W. Zamponi

Bibliographic record

VenueMolecular Brain · 2018
Typearticle
Languageen
FieldMedicine
TopicPain Mechanisms and Treatments
Canadian institutionsAlberta Children's HospitalUniversity of Calgary
FundersCanadian Institutes of Health ResearchAlberta Innovates
KeywordsMedicineInflammationNociceptionPeripheralHyperalgesiaDISC1PharmacologyNeuroscienceImmunologyChemistryInternal medicineBiologyReceptor

Abstract

fetched live from OpenAlex

Cav3.2 T-type calcium channels are important for the signaling of nociceptive information in the primary afferent pain pathway. During neuropathy and peripheral inflammation, Cav3.2 channels are upregulated due to an increased association with the deubiquitinase USP5. Disrupting these interactions in male mice by the use of cell permeant peptides reverses mechanical and thermal hypersensitivity. Here we explore the effects of interfering with USP5 binding to the channel in female mice with synchronized estrous cycle. We show that intrathecal delivery of a cell-penetrating TAT peptide corresponding to the UBPc domain of USP5 fully reverses mechanical hypersensitivity in mice intraplantarly injected with Complete Freund's Adjuvant. Hence, the USP5 mediated dysregulation of Cav3.2 channel activity does not exhibit sex differences, and potential therapeutics targeting this interaction should be effective in both male and female subjects.

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 score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.013
GPT teacher head0.282
Teacher spread0.269 · 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

Citations22
Published2018
Admission routes2
Has abstractyes

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