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Record W4367669451 · doi:10.1093/ecco-jcc/jjad067

Obefazimod: A First-in-class Drug for the Treatment of Ulcerative Colitis

2023· article· en· W4367669451 on OpenAlexaff
Séverine Vermeire, Virginia Solitano, Laurent Peyrin‐Biroulet, Herbert Tilg, Silvio Danese, Hartmut J. Ehrlich, Didier Scherrer, Paul Gineste, Laurence d’Agay, Bruce E. Sands

Bibliographic record

VenueJournal of Crohn s and Colitis · 2023
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInflammatory Bowel Disease
Canadian institutionsWestern University
Fundersnot available
KeywordsUlcerative colitisMedicineDrugClinical trialInflammatory bowel diseasePharmacodynamicsDiseaseDrug classPharmacokineticsDrug developmentMechanism (biology)Intensive care medicineMechanism of actionPharmacologyBioinformaticsImmunologyInternal medicineBiologyIn vitro

Abstract

fetched live from OpenAlex

Biologic agents and oral small molecules are the mainstays of inflammatory bowel disease [IBD] management. However, an unmet clinical need remains for additional agents with novel mechanism of action which are effective, safe, and disease-modifying; this is due to the substantial proportion of patients who do not respond, lose response, or develop intolerance to currently marketed products. microRNAs [miRNAs] that play a role in the modulation of signal transduction pathways implicated in the development of IBD hold the potential to be used as therapeutic targets. Recently, a novel first-in-class compound, obefazimod, originally conceived as a human immunodeficiency virus [HIV] infection drug, has shown great promise in phase II induction trials for ulcerative colitis [UC] patients. Findings from the maintenance phases of trials showed that long-term obefazimod treatment provides continued improvement in clinical symptoms of disease, with a substantial proportion of patients in clinical remission, and an overall good safety profile. With a novel mechanism of action, obefazimod is an orally available small molecule with anti-inflammatory properties through the specific and selective upregulation of miR-124 expression. The aim of this paper is to critically review the available evidence related to pharmacokinetics and pharmacodynamics, and to discuss the potential clinical implications of this first-in-class oral small molecule.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.776
Threshold uncertainty score0.252

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.010
GPT teacher head0.256
Teacher spread0.246 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations23
Published2023
Admission routes1
Has abstractyes

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