Pharmacokinetics and Tolerability of GW420867X, a Nonnucleoside Reverse Transcriptase Inhibitor, following Single Escalating Doses in Healthy Male Volunteers
Bibliographic record
Abstract
The aim of the current study was to characterize the pharmacokinetics of GW420867X, a new nonnucleoside reverse transcriptase inhibitor, using a single escalating dose protocol in healthy volunteers. Four dose levels were investigated in sequential order: 300, 600, 900, and 1200 mg, with a ratio of 4:1 subjects receiving active or placebo treatment, respectively. Following single-dose administration, GW420867X was readily absorbed with a median time to peak concentration of 3 to 5 hours. GW420867X plasma exposure (AUC) was dose proportional but variable within the 300 to 1200 mg dose range. Less than dose-proportional increases were observed for Cmax. The terminal elimination t(1/2) was 50 hours, which supports once-daily dosing in future studies. Plasma trough concentrations of GW420867X at 24 hours after dosing were many fold greater than the in vitro IC50 HIV-1(HXB2) in MT4 cells. GW420867X was generally well tolerated following single-dose administration up to 900 mg; increased central nervous system-related adverse events were observed at higher doses. GW420867X had a favorable pharmacokinetic and safety profile that would enable this drug to be explored in future clinical studies with HIV-1 infected patients at doses that would provide appropriate safety and efficacy.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".