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Record W2605276836 · doi:10.1002/dta.2202

lmplementation of the prolyl hydroxylase inhibitor Roxadustat (FG‐4592) and its main metabolites into routine doping controls

2017· article· en· W2605276836 on OpenAlexfundno aff
Daniel Eichner, Ryan M. Van Wagoner, Mitch Brenner, James Chou, Scott D. Leigh, Lee R Wright, Lee A. Flippin, Michael J. Martinelli, Oliver Krug, Wilhelm Schänzer, Mario Thevis

Bibliographic record

VenueDrug Testing and Analysis · 2017
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer, Hypoxia, and Metabolism
Canadian institutionsnot available
FundersWorld Anti-Doping Agency
KeywordsAnalyteUrineChromatographyChemistryDrugContext (archaeology)PharmacologyMedicineBiochemistryBiology

Abstract

fetched live from OpenAlex

The utility of hypoxia-inducible factor (HIF) prolyl hydroxylase inhibitors as a therapeutic means of treating patients suffering from anaemia has been demonstrated for various clinical settings. However, besides this intended use, HIF stabilizers can be the subject of misuse in amateur and elite sports due to their erythropoietic properties, as recently proven by several cases of adverse analytical findings in doping control testing. Consequently, to allow for adequate and comprehensive test methods, knowledge of the drug candidates' metabolism and analytical options enabling appropriate detection windows in sports drug testing samples (i.e., blood and urine) is essential to doping control laboratories. In the present study, a novel HIF prolyl hydroxylase inhibitor referred to as Roxadustat (FG-4592) and main plasma- and urine-derived metabolites were investigated in the context of routine doping control analytical approaches. Liquid chromatography-mass spectrometry-based test methods were used to study the target analytes' dissociation pathways following electrospray ionization and collision-induced dissociation. Diagnostic precursor-product ion pairs were selected to enable the implementation of the intact drug Roxadustat and selected metabolites into multi-analyte initial testing procedures for plasma and urine specimens. The assays were validated in accordance to guidelines of the World Anti-Doping Agency (WADA) and results demonstrated the suitability (fitness-for-purpose) of the employed analytical methods with detection limits ranging from 0.05 to 1 ng/mL and 1 to 5 ng/mL for urine and plasma, respectively. Subsequently, elimination study plasma and urine samples collected up to 167 h post-administration were analyzed using the validated methods, which suggested the use of different target analytes for blood and urine analyses with FG-4592 and its glucuronide, respectively, for optimal detection windows. Additionally, a light-induced rearrangement product (photoisomer) of Roxadustat resulted in the formation of an additional compound of identical mass. Copyright © 2017 John Wiley & Sons, Ltd.

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)0.001
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 score0.089
Threshold uncertainty score0.401

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.013
GPT teacher head0.272
Teacher spread0.258 · 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

Citations30
Published2017
Admission routes1
Has abstractyes

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