Pharmacokinetics of S1P receptor modulators in the treatment of ulcerative colitis
Bibliographic record
Abstract
INTRODUCTION: Ulcerative colitis is a chronic inflammatory bowel disease, affecting the colorectal mucosae, with a relapsing-remitting course, characterized by the trafficking and gathering of lymphocytes in the inflammatory intestinal mucosa. Sphingosine-1-phosphate (S1P) receptor modulators preventing lymphocytes egress from lymphoid tissues to the active inflammation site is an alternative therapeutic option in this condition. AREA COVERED: We carried out a comprehensive review of the literature available on Medline, Scopus and Embase regarding the pharmacokinetics of S1P receptor modulators. For each compound, we reviewed the mechanism of action, pharmacokinetic data and efficacy and safety data from phase 3 studies and real-life studies when available. EXPERT OPINION: S1P receptor modulators, including ozanimod and etrasimod (both currently on the market) as well as VTX002 (under development), are a new class of drugs for the treatment of moderate to severe ulcerative colitis, inducing and maintaining the remission. Due to its pharmacokinetic features, this class of drugs has certain advantages such as an oral administration, a short half-life, a high volume of distribution, and no immunogenicity. On the other hand, there are risks of cardiological and ophthalmological side-effects, as well as drug-drug interactions risk, that require special attention from the healthcare providers.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".