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Record W4411957172 · doi:10.1016/j.jcoa.2025.100236

Metabolite patterns of the carbonic anhydrase inhibitors brinzolamide and dorzolamide: potential markers for the route of application

2025· article· en· W4411957172 on OpenAlexfundno aff
Yao Jin, Andreas Thomas, S Gochard, Philippe Delahaut, Mario Thevis

Bibliographic record

VenueJournal of Chromatography Open · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme function and inhibition
Canadian institutionsnot available
FundersManfred Donike Institut für DopinganalytikBundesministerium des Innern, für Bau und HeimatWorld Anti-Doping Agency
KeywordsDorzolamideCarbonic anhydraseMetaboliteChemistryPharmacologyBiochemistryEnzymeBiologyNeuroscience

Abstract

fetched live from OpenAlex

Brinzolamide (BA) and dorzolamide (DA) are carbonic anhydrase inhibitors (CAIs), and are commonly used therapeutics for glaucoma treatment via topical application. According to the regulations of the World Anti-Doping Agency (WADA), both drugs are classified under "Diuretics and Masking Agents", prohibiting their use in- and out-of-competition, except for ophthalmic application. Despite ophthalmic use being permitted, systemic absorption occurs, enabling BA and DA detection in blood and urine samples after topical administration. Thus, distinguishing between legitimate (e.g. topical) and prohibited (e.g. oral) drug application routes is critical for sports drug testing result management. This study investigated the elimination and metabolic profiles of BA and DA following topical and systemic administration in male piglets. Three piglets received BA or DA ophthalmic suspensions, while another three received an oral dose. Urine and blood samples were collected over one week, and all samples were analysed using liquid chromatography-high-resolution tandem mass spectrometry (LC-HRMS MS). In vitro experiments yielded five phase I metabolites for DA and BA. After method validation, the approach was confirmed to detect DA and BA, with Limits of Detection (LODs) of 55 pg/mL and 75 pg/mL in urine, 110 pg/mL and 180 pg/mL in red blood cells, and 380 pg/mL and 910 pg/mL in plasma. BA and DA metabolites were primarily found in the red blood cell fraction, with only trace amounts detectable in plasma. N-desethylation was observed as the main metabolic reaction for both drugs, and metabolite-to-parent drug ratios were determined in all collected post-administration samples alongside drug concentration levels. The combined consideration of analyte ratios and drug concentrations appears to be indicative of time and dose of drug use (under the chosen routes of administration), which might assist in sports drug testing result management.

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 score0.001
Threshold uncertainty score0.003

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 integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.004
GPT teacher head0.240
Teacher spread0.237 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

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