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Record W2334301577 · doi:10.1021/tx5001333

Activation of Inflammasomes by Agents Causing Idiosyncratic Skin Reactions: A Possible Biomarker

2014· article· en· W2334301577 on OpenAlexafffund
Jean K. Weston, Jack Uetrecht

Bibliographic record

VenueChemical Research in Toxicology · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammasome and immune disorders
Canadian institutionsUniversity of Toronto
FundersCanadian Institutes of Health Research
KeywordsTelaprevirBoceprevirInflammasomeChemistryDrugImmune systemDimethyl fumaratePharmacologyBiochemistryImmunologyMedicineReceptor

Abstract

fetched live from OpenAlex

Chemically reactive drugs and drugs that form reactive metabolites often cause idiosyncratic drug reactions (IDRs); however, not all such drugs are associated with IDRs. Most IDRs appear to be immune mediated; therefore, the ability of a drug to induce an immune response may be the determinant of which drugs will cause IDRs. Inflammasome activation plays an important role in the initiation of an immune response. In this study, we studied two pairs of similar chemically reactive drugs, telaprevir/boceprevir and dimethyl fumarate/ethacrynic acid. In both pairs, the drug associated with skin reactions activated inflammasomes in THP-1 cells, and the drug not associated with skin reactions did not.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation 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 score0.016
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
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 head0.042
GPT teacher head0.357
Teacher spread0.316 · 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 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

Citations28
Published2014
Admission routes2
Has abstractyes

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