ArticleJournal of clinical pharmacology2026
Population Pharmacokinetics of Oral Gecacitinib in Healthy Subjects and Patients with Autoimmune and Inflammatory Diseases.
Article in Journal of clinical pharmacology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gecacitinib is a novel, broad-spectrum Janus kinase (JAK) inhibitor being developed for the treatment of myelofibrosis, severe alopecia areata, ankylosing spondylitis, and atopic dermatitis. This study aimed to develop population pharmacokinetic (PopPK) models for gecacitinib and its metabolites ZG0244 and ZG0245 to evaluate influential factors. Data from healthy subjects and patients across nine clinical trials were pooled. PopPK models were developed using NONMEM, and covariates of interest were tested. The PopPK structure for gecacitinib was a two-compartment model with first-order absorption and linear elimination. The metabolite ZG0244 was best described by a two-compartment model with Michaelis-Menten formation and linear elimination, while for metabolite ZG0245, it was a one-compartment model with Michaelis-Menten formation and linear elimination. Statistically significant factors affecting pharmacokinetic parameters included sex, age, indication, and co-administration with a strong CYP3A inducer or inhibitor. The effects of sex, age, and strong CYP3A inducer on exposure were limited, requiring no dose adjustment. A strong CYP3A inhibitor increased exposure by approximately 1.3-fold. The median time to reach 95% of steady-state concentration was approximately 3 days for gecacitinib and ZG0244, and approximately 7 days for ZG0245. This study developed population pharmacokinetic models for gecacitinib and its metabolites, and quantified the effects of covariates.
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