Metabolism of prazosin in rat and characterization of metabolites in plasma, urine, faeces, brain and bile using liquid chromatography/mass spectrometry (LC/MS)
Bibliographic record
Abstract
1. Prazosin, 2-[4-(2-furanoyl)-piperazin-1-yl]-4-amino-6,7-dimethoxyquinazoline, is an antihypertensive agent that has been used safely since 1976 and is currently being investigated for the treatment of post-traumatic stress disorder. The in vivo metabolism of prazosin in rat was first reported in 1977, although at the time analytical techniques were not as sophisticated, nor were the mass spectrometers as sensitive, as today. Recently, the in vitro metabolism of prazosin in rat liver microsomes and cryopreserved hepatocytes was investigated using liquid chromatography/mass spectrometry (LC/MS), which revealed new metabolic pathways. 2. In the present work, rat in vivo metabolism was reinvestigated using a quadrupole time-of-flight mass spectrometer coupled with ultra-performance liquid chromatography, or chip-based nanoflow electrospray ionization, with the aim of identifying metabolites revealed by the in vitro studies and any new metabolites. 3. It is reported that prazosin was metabolized in rats to produce the metabolites observed in vitro. In addition, new phase I metabolites, M18, M20 and M21, were formed and conjugation with glucose or taurine formed the new phase II metabolites, M16 and M19, respectively. 4. Evidence for bioactivation of prazosin included detection of ring-opened metabolites (M4 and M7) and a cysteinyl-glycine conjugate (M17). Further support to the structure of the ring-opened metabolite M7 was obtained by nuclear magnetic resonance (NMR) experiments on M7 isolated from urine.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".