Metabolism and Disposition of the Antiviral Nucleoside Analogue AM365 in the Isolated Perfused Rat Liver
Bibliographic record
Abstract
The present study was designed to investigate the hepatic disposition of the prodrug AM365 and the generated antiviral guanosine analogue, AM188 in the isolated perfused rat liver (IPL). The livers of rats (n=12) were isolated and perfused with Krebs-Henseleit pH 7.4 buffer to which AM365 was added as a bolus to achieve an initial perfusate concentration of 22.4 micromol/L. During the 120-min period after administration of AM365, bile was collected in 10-min intervals and perfusate was collected at the mid-point of these intervals. Concentrations of AM365 and AM188 in perfusate and bile were quantified by HPLC. Following administration of AM365, its concentration in perfusate declined and the concentration of AM188 increased; the sum of the molar concentrations remained constant. The clearance and hepatic extraction ratio of AM365 were 3.3+/-2.4 mL/min and 0.110+/-0.079, respectively. The cumulative amount of AM365 excreted in bile during the 120-min perfusion period was approximately 0.21% of the bolus dose, and 0.36% of the total amount of AM365 cleared by the liver during the period. The cumulative amount of AM188 excreted in bile was about 0.48% of the total amount of AM188 formed during the perfusion period. In conclusion, AM365 was metabolised to AM188, which appeared to be the only metabolite and was not further biotransformed. The biliary excretion of AM365 and AM188 was negligible.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".