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Record W2324734459 · doi:10.1016/j.clpt.2005.12.254

PIII-46Generation of reactive oxygen species by sulfonamide reactive intermediates

2006· article· en· W2324734459 on OpenAlexaff
Michael Rieder, Kim Chau, M TUCKER

Bibliographic record

VenueClinical Pharmacology & Therapeutics · 2006
Typearticle
Languageen
FieldMedicine
TopicDrug-Induced Adverse Reactions
Canadian institutionsWestern University
Fundersnot available
KeywordsReactive oxygen speciesChemistryHydroxylamineReactive intermediateSulfonamideMetaboliteReactive nitrogen speciesPharmacologyOxidative stressBiochemistryStereochemistryBiology

Abstract

fetched live from OpenAlex

BACKGROUND/AIMS Reactive sulfonamide intermediates appear to be key elements in the pathogenesis of sulfonamide hypersensitivity reactions. The molecular mechanism(s) driving this remains unclear. Reactive stress may be involved in undesired effects of reactive compounds; thus we studied the generation of reactive oxygen species by sulfonamide reactive intermediates. METHODS Design _ An in vitro study using Jurkat cells incubated with increasing concentrations of the hydroxylamine metabolite of sulfamethoxazole over increasing incubation times. Toxicity was evaluated by MTT assay and FACS analysis. Reactive oxygen stress was determined with a colorometric assay with DCFH-DA as an indicator. Setting _ Lab. Targets _Jurkat E6-1 cells. Intervention _ Incubation of cells with a reactive intermediate of sulfamethoxazole from 0 to 800 micromolar. The metabolite was synthesized using our previously described method. RESULTS Concentration and time dependent increases in reactive oxygen stress were demonstrated when cells were incubated with the hydroxylamine of sulfamethoxazole but not with the parent drug or vehicle control. The increase was statistically significant for all concentrations above 100 micromolar (p<0.05). At the 800 micromolar concentration, the increase was 700-fold (p<0.01). CONCLUSIONS Reactive oxygen stress may be an important molecular determinant of sulfonamide hypersensitivity and thus interventions to reduce or reverse this may be therapeutic options. Clinical Pharmacology & Therapeutics (2005) 79, P70–P70; doi: 10.1016/j.clpt.2005.12.254

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.514
Threshold uncertainty score0.956

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.057
GPT teacher head0.394
Teacher spread0.338 · 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

Citations1
Published2006
Admission routes1
Has abstractyes

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