Population pharmacokinetic analysis of dutogliptin, a selective dipeptidyl peptidase‐4 inhibitor
Bibliographic record
Abstract
Dutogliptin is a selective dipeptidyl peptidase-4 inhibitor shown to be efficacious and safe in patients with type 2 diabetes mellitus (T2DM). Population pharmacokinetic (PK) analysis of dutogliptin was performed based on data collected in 561 healthy subjects and patients with T2DM enrolled in Phase I and II studies to assess sources of variability and support dosing rationale. The effect of extrinsic (formulations, fed/fasting conditions, potential drug-drug interaction with metformin) and intrinsic (baseline characteristics, markers of renal function, renal impairment category, and disease status) covariates was evaluated using non-linear mixed effect modeling. Plasma concentrations of dutogliptin were best fitted with a two-compartment model with a first-order rate constant of absorption (Ka) and a lag time. No differences were observed between healthy subjects and patients with T2DM. Apparent clearance (CL/F) and terminal elimination half-life of dutogliptin were 176 L/h and 12.2 hours, respectively. Typical CL/F values in patients with mild and moderate renal impairment were 121 and 79 L/h, respectively. No drug-drug interaction was observed with metformin. These results suggest that a reduction in dosing from 400 to 200 mg daily is warranted in T2DM patients with moderate renal impairment. No dose adjustments were deemed necessary for other evaluated patient characteristics and coadministration with metformin.
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How this classification was reachedexpand
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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 teacher head, 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".