Metabolism of prazosin in rat and characterization of metabolites in plasma, urine, faeces, brain and bile using liquid chromatography/mass spectrometry (LC/MS)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
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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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it