Vedolizumab for the Treatment of Active Ulcerative Colitis: A Randomized Controlled Phase 2 Dose-ranging Study
Bibliographic record
Abstract
BACKGROUND: Vedolizumab is a gut-selective biologic that has shown efficacy in ulcerative colitis (UC) and Crohn's disease (CD). We studied the pharmacokinetics, pharmacodynamics, safety, tolerability, and efficacy of a new formulation of vedolizumab produced by an improved manufacturing process. METHODS: UC patients were randomized to receive vedolizumab (2, 6, or 10 mg/kg) or placebo on days 1, 15, 29, and 85. Safety, pharmacokinetics, pharmacodynamics, and immunogenicity evaluations were performed at multiple timepoints through day 253. Partial Mayo Scores and fecal calprotectin levels were used to assess efficacy. RESULTS: In all, 46 patients (9 placebo, 37 vedolizumab) received at least one dose of study medication. The vedolizumab serum concentration declined monoexponentially until concentrations reached 1-10 μg/mL, and then fell nonlinearly. Vedolizumab maximum serum concentration (C(max) ) and area under the curve (AUC) increased approximately proportionally as a function of dose. Vedolizumab maximally saturated α(4) β(7) receptors on peripheral serum lymphocytes at all measurable serum concentrations. Vedolizumab was well tolerated, with no deaths and no adverse events leading to discontinuation. At every assessment from day 29 through day 253, over 50% of vedolizumab-treated patients were in clinical response, while placebo response rates generally ranged between 22% and 33%. Vedolizumab treatment reduced fecal calprotectin levels compared with placebo. CONCLUSIONS: Vedolizumab demonstrated dose-proportional pharmacokinetics and maximally saturated α(4) β(7) receptors over the tested dose range. Multiple dosing up to 10 mg/kg was well tolerated. Over the course of follow-up a greater proportion of patients treated with vedolizumab were in clinical response than those who were assigned to placebo.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".