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Record W4394795767 · doi:10.1134/s1061934824040026

Development of an UHPLC-UV Method for Quantification of Three Phenyl 4-(2-oxo-3-alkylimidazolidin-1-yl)benzenesulfonates in CD-1® IGS Female Mouse Plasma

2024· article· en· W4394795767 on OpenAlexaff
Atziri Corin Chavez Alvarez, Chahrazed Bouzriba, Laureline Bernier, Vincent Ouellette, Mathieu Gagné‐Boulet, Sylvie Pilote, René C.‐Gaudreault, Chantale Simard, Sébastien Fortin

Bibliographic record

VenueJournal of Analytical Chemistry · 2024
Typearticle
Languageen
FieldPharmacology, Toxicology and Pharmaceutics
TopicPharmacogenetics and Drug Metabolism
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de Québec
Fundersnot available
KeywordsChemistryChromatographyProdrugBiochemistry

Abstract

fetched live from OpenAlex

Abstract Phenyl 4-(2-oxo-3-alkylimidazolidin-1-yl)benzenesulfonates (PAIB-SOs) are new antimitotic prodrugs bioactivated by the enzyme CYP1A1 into phenyl 4-(2-oxo-3-imidazolidin-1-yl)benzenesulfonates (PIB-SOs) that are potently (nM) and selectively inhibiting the growth of CYP1A1-expressing breast cancer cells. The screening program identified three PAIB-SOs designated as CEU-835, CEU-934, and CEU-938 for further pharmacokinetic studies. A novel method for their quantification in CD-1® IGS female mouse plasma using a Waters UHPLC ACQUITY Arc system was developed and validated. Their analytical measurements ranged from 7.3 to 1484 ng/mL. They exhibited linearity between 7.3 and 1484 ng/mL. They also showed good resolutions (2.21–4.99) and good theoretical plate numbers (14707–70580). Moreover, they were robust at wavelengths between 273 and 310 nm and sensitive from 2 to 62 AU/ng mL−1. This new method is indispensable to assess PAIB-SOs half-life in mouse plasma and for the quantification of PAIB-SOs in other biological matrices.

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)0.001
metaresearch head score (Gemma)0.001
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: Methods · Consensus signal: none
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.159
GPT teacher head0.465
Teacher spread0.306 · 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
GenreMethods

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
Published2024
Admission routes1
Has abstractyes

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