AI Article Synopsis
- Variation in response to biologic therapy for inflammatory diseases, like psoriasis, is influenced by how much of the drug reaches the patient (drug exposure).
- Real-world data from a study with 491 patients receiving ustekinumab was analyzed to create a pharmacokinetic/pharmacodynamic (PK/PD) model, looking at different dosing strategies.
- The study identified a group of potential nonresponders and suggested that the model could be used in the future to personalize drug dosing through a monitoring system, aiming to enhance treatment effectiveness.
Article Abstract
Variation in response to biologic therapy for inflammatory diseases, such as psoriasis, is partly driven by variation in drug exposure. Real-world psoriasis data were used to develop a pharmacokinetic/pharmacodynamic (PK/PD) model for the first-line therapeutic antibody ustekinumab. The impact of differing dosing strategies on response was explored. Data were collected from a UK prospective multicenter observational cohort (491 patients on ustekinumab monotherapy, drug levels, and anti-drug antibody measurements on 797 serum samples, 1,590 measurements of Psoriasis Area Severity Index (PASI)). Ustekinumab PKs were described with a linear one-compartment model. A maximum effect (E ) model inhibited progression of psoriatic skin lesions in the turnover PD mechanism describing PASI evolution while on treatment. A mixture model on half-maximal effective concentration identified a potential nonresponder group, with simulations suggesting that, in future, the model could be incorporated into a Bayesian therapeutic drug monitoring "dashboard" to individualize dosing and improve treatment outcomes.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070790 | PMC |
| http://dx.doi.org/10.1111/cts.12725 | DOI Listing |
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