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Tyrosine Kinase 2 Inhibition With Zasocitinib (TAK-279) in Psoriasis

2024· article· en· W4401723588 on OpenAlexaffabout
April W. Armstrong, Melinda Gooderham, Charles Lynde, Catherine Maari, Seth Forman, Lawrence Green, Vivian Laquer, Xinyan Zhang, Nathalie Franchimont, Esha Gangolli, Jessamyn Blau, Yiwei Zhao, Wenwen Zhang, Bhaskar Srivastava, Graham Heap, Kim Papp

Bibliographic record

VenueJAMA Dermatology · 2024
Typearticle
Languageen
FieldImmunology and Microbiology
TopicPsoriasis: Treatment and Pathogenesis
Canadian institutionsInnovaderm (Canada)University of TorontoLynde Centre for DermatologyProbity Medical Research
Fundersnot available
KeywordsMedicinePsoriasis Area and Severity IndexPsoriasisTolerabilityRandomized controlled trialPlaceboInternal medicineClinical endpointBody surface areaAdverse effectClinical trialDermatologyPathology

Abstract

fetched live from OpenAlex

Importance: New, effective, and well-tolerated oral therapies are needed for treating psoriasis. Zasocitinib, a highly selective allosteric tyrosine kinase 2 (TYK2) inhibitor, is a potential new oral treatment for this disease. Objective: To assess the efficacy, safety, and tolerability of zasocitinib in patients with moderate to severe plaque psoriasis. Design, Setting, and Participants: This phase 2b, randomized, double-blind, placebo-controlled, multiple-dose randomized clinical trial was conducted from August 11, 2021, to September 12, 2022, at 47 centers in the US and 8 in Canada. The study included a 12-week treatment period and a 4-week follow-up period. Key eligibility criteria for participants included age 18 to 70 years; a Psoriasis Area and Severity Index (PASI) score of 12 or greater; a Physician's Global Assessment score of 3 or greater; and a body surface area covered by plaque psoriasis of 10% or greater. Of 287 patients randomized, 259 (90.2%) received at least 1 dose of study treatment. Intervention: Patients were randomly assigned (1:1:1:1:1) to receive zasocitinib at 2, 5, 15, or 30 mg or placebo orally, once daily, for 12 weeks. Main Outcomes and Measures: The primary efficacy end point was the proportion of patients achieving 75% or greater improvement in PASI score (PASI 75) at week 12. Secondary efficacy end points included PASI 90 and 100 responses. Safety was also assessed. Results: In total, 259 patients were randomized and received treatment (mean [SD] age, 47 [13] years; 82 women [32%]). At week 12, PASI 75 was achieved for 9 (18%), 23 (44%), 36 (68%), and 35 (67%) patients receiving zasocitinib at 2, 5, 15, and 30 mg, respectively, and 3 patients (6%) receiving placebo. PASI 90 responses were consistent with PASI 75. PASI 100 demonstrated a dose response at all doses, with 17 patients (33%) achieving PASI 100 with zasocitinib, 30 mg. Treatment-emergent adverse events occurred for 23 patients (44%) receiving placebo and 28 (53%) to 31 (62%) patients receiving the 4 different doses of zasocitinib, with no dose dependency and no clinically meaningful longitudinal differences in laboratory parameters. Conclusions and Relevance: This randomized clinical trial found that potent and selective inhibition of TYK2 with zasocitinib at oral doses of 5 mg or more once daily resulted in greater skin clearance than placebo over 12 weeks. Trial Registration: ClinicalTrials.gov Identifier: NCT04999839.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.012
GPT teacher head0.234
Teacher spread0.223 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNon-randomized trial
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

Citations42
Published2024
Admission routes2
Has abstractyes

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