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Record W7133021441

Investigating the Involvement of the Sulfotransferase Pathway in Drug-induced Skin Rash

2021· dissertation· W7133021441 on OpenAlexaff
Yanshan Cao

Bibliographic record

VenueTSpace · 2021
Typedissertation
Language
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsCovalent bondSulfotransferaseCovalent bindingReactive intermediateDrugPlasma protein bindingMetabolismGenipin
DOInot available

Abstract

fetched live from OpenAlex

Circumstantial evidence suggests that most idiosyncratic drug reactions are caused by chemically reactive metabolites of the drug that covalently binds to proteins. The skin is a major target of idiosyncratic reactions; however, drug metabolism in the skin is limited. One exception is the presence of relatively high sulfotransferase activity in human skin. For example, nevirapine-induced skin rash is caused by a reactive benzylic sulfate formed in the skin. The working hypothesis is that the serious skin rashes caused by other drugs involve reactive sulfate metabolites formed in the skin. Trimethoprim, lamotrigine, valdecoxib, and sertraline have the potential to produce reactive sulfate metabolites that may be responsible for drug-induced skin rash. Anti-drug antibodies against trimethoprim, lamotrigine, and valdecoxib were made to study covalent binding of the drug to proteins. Brown Norway rats were treated with these drugs, and their liver and skin proteins were immunoblotted to look for covalent binding. No covalent binding of any of these drugs was detected in the skin, but covalent binding of trimethoprim was detected in the liver. The immunoassay may not be sufficiently sensitive to detect covalent binding in the skin, or binding may be limited to human skin. The sulfates of hydroxy-trimethoprim and lamotrigine-N-oxide, which are metabolites of these drugs, were chemically synthesized, and both were found to be chemically reactive. Surprisingly, even hydroxy-trimethoprim itself had sufficient reactivity to covalently bind to proteins in vitro. Dr. Liu, our collaborator at the University of Toledo, tested whether hydroxy-trimethoprim, lamotrigine-N-oxide, hydroxy-valdecoxib or hydroxy-sertraline were substrates of human sulfotransferases. He found that lamotrigine-N-oxide was a substrate for several human sulfotransferases, while hydroxy-trimethoprim was only a substrate for the fetal sulfotransferase SULT1C4, and hydroxy-valdecoxib and hydroxy-sertraline were not substrates for human sulfotransferases. That implies that the rashes caused by valdecoxib and sertraline are not due to a sulfate metabolite. Given that hydroxy-trimethoprim is only a substrate for a fetal sulfotransferase but is weakly reactive, it may be responsible for trimethoprim rashes. The rash caused by lamotrigine is likely due to the N-O-sulfate; however, detection of covalent binding in skin would have strengthened the evidence for this hypothesis.

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 score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
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)0.0020.000

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 head0.097
GPT teacher head0.426
Teacher spread0.329 · 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

Citations0
Published2021
Admission routes1
Has abstractyes

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