Pharmacokinetic-Pharmacodynamic Modelling of Risankizumab Using Chronic Plaque Psoriasis Real-World Data

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Aim: Risankizumab is a high-cost biologic treatment for chronic plaque psoriasis, an immune-mediated inflammatory disease presenting with painful red scaly skin lesions. It is unclear whether inter-individual heterogeneity in treatment response might be better addressed with personalised rather than fixed dosing. We sought to develop a pharmacokinetic/pharmacodynamic (PK/PD) model to characterise the relationship between risankizumab exposure and treatment response. Methods: A sequential population PK/PD model was developed using real-world data ( UK Biomarkers of Systemic Treatment Outcomes in Psoriasis study) comprising serial PK and Psoriasis Area and Severity Index (PASI) measures. Models were built using R (V4.3.1) with nlmixr2 package (V2.0.9). One and two-compartment PK models were tested. A maximal effect turnover model was used to describe PASI, with drug effect on lesion development rate ( K in ). Results: The dataset (82 serum risankizumab concentrations; 101 PASI observations) comprised 50 patients with psoriasis (median weight 79.3 kg; age 47 years). PK data were described by a one-compartment model with first-order absorption/elimination. Absorption rate (K a ) was fixed from the literature (0.229). Estimated plasma clearance was 0.34 L/day, and volume of distribution 12.9 L. Baseline PASI at model initiation, drug potency (EC 50 ), and lesion recovery rate (K out ) were estimated at 23.4, 0.11 mg/L and 0.05 day − 1 , respectively. Conclusions: Pharmacokinetic parameters were similar to risankizumab clinical trials. K out estimates aligned with other psoriasis turnover models, highlighting the capture of disease dynamics that may be applied across drugs. This model may inform personalised dosing based on individual patient characteristics, drug exposure and response, to optimise treatment outcomes.
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Pharmacokinetic-Pharmacodynamic Modelling of Risankizumab Using Chronic Plaque Psoriasis Real-World Data | Authorea try { document.documentElement.classList.add('js'); } catch (e) { } var _gaq = _gaq || []; _gaq.push(['_setAccount', 'G-8VDV14Y67G']); _gaq.push(['_trackPageview']); (function() { var ga = document.createElement('script'); ga.type = 'text/javascript'; ga.async = true; ga.src = ('https:' == document.location.protocol ? 'https://ssl' : 'http://www') + '.google-analytics.com/ga.js'; var s = document.getElementsByTagName('script')[0]; s.parentNode.insertBefore(ga, s); })(); Skip to main content Preprints Collections Wiley Open Research IET Open Research Ecological Society of Japan All Collections About About Authorea FAQs Contact Us Quick Search anywhere Search for preprint articles, keywords, etc. Search Search ADVANCED SEARCH SCROLL British Journal of Clinical Pharmacology This is a preprint and has not been peer reviewed. Data may be preliminary. 23 July 2025 V1 Latest version Share on Pharmacokinetic-Pharmacodynamic Modelling of Risankizumab Using Chronic Plaque Psoriasis Real-World Data Authors : Charlotte Thomas M 0000-0002-7866-6991 [email protected] , Jessica Ruoheng Wei , David Baudry , Zehra Arkir , Bola Coker , Tejus Dasandi , Kingsley Powell , … Show All … , Monica Arenas-Hernandez , Jenny Leung , Krystal Rawstron , Chioma Nwaogu , Richard Woolf , Andrew Pink E , Jonathan Barker , Joseph Standing 0000-0002-4561-7173 , Catherine Smith , and Satveer Mahil 0000-0003-4692-3794 Show Fewer Authors Info & Affiliations https://doi.org/10.22541/au.175327223.38290631/v1 255 views 147 downloads Contents Abstract Supplementary Material Information & Authors Metrics & Citations View Options References Figures Tables Media Share Abstract Aim: Risankizumab is a high-cost biologic treatment for chronic plaque psoriasis, an immune-mediated inflammatory disease presenting with painful red scaly skin lesions. It is unclear whether inter-individual heterogeneity in treatment response might be better addressed with personalised rather than fixed dosing. We sought to develop a pharmacokinetic/pharmacodynamic (PK/PD) model to characterise the relationship between risankizumab exposure and treatment response. Methods: A sequential population PK/PD model was developed using real-world data ( UK Biomarkers of Systemic Treatment Outcomes in Psoriasis study) comprising serial PK and Psoriasis Area and Severity Index (PASI) measures. Models were built using R (V4.3.1) with nlmixr2 package (V2.0.9). One and two-compartment PK models were tested. A maximal effect turnover model was used to describe PASI, with drug effect on lesion development rate ( K in ). Results: The dataset (82 serum risankizumab concentrations; 101 PASI observations) comprised 50 patients with psoriasis (median weight 79.3 kg; age 47 years). PK data were described by a one-compartment model with first-order absorption/elimination. Absorption rate (K a ) was fixed from the literature (0.229). Estimated plasma clearance was 0.34 L/day, and volume of distribution 12.9 L. Baseline PASI at model initiation, drug potency (EC 50 ), and lesion recovery rate (K out ) were estimated at 23.4, 0.11 mg/L and 0.05 day − 1 , respectively. Conclusions: Pharmacokinetic parameters were similar to risankizumab clinical trials. K out estimates aligned with other psoriasis turnover models, highlighting the capture of disease dynamics that may be applied across drugs. This model may inform personalised dosing based on individual patient characteristics, drug exposure and response, to optimise treatment outcomes. Supplementary Material File (final_risankizumab_pkpd_bjcp.docx) Download 325.67 KB Information & Authors Information Version history V1 Version 1 23 July 2025 Copyright This work is licensed under a Non Exclusive No Reuse License. Collection British Journal of Clinical Pharmacology Authors Affiliations Charlotte Thomas M 0000-0002-7866-6991 [email protected] King's College London View all articles by this author Jessica Ruoheng Wei King's College London View all articles by this author David Baudry King's College London View all articles by this author Zehra Arkir Barts Health NHS Trust View all articles by this author Bola Coker Guy's and St Thomas' NHS Foundation Trust View all articles by this author Tejus Dasandi Guy's and St Thomas' NHS Foundation Trust View all articles by this author Kingsley Powell King's College London View all articles by this author Monica Arenas-Hernandez Guy's and St Thomas' NHS Foundation Trust View all articles by this author Jenny Leung Guy's and St Thomas' NHS Foundation Trust View all articles by this author Krystal Rawstron Guy's and St Thomas' NHS Foundation Trust View all articles by this author Chioma Nwaogu Guy's and St Thomas' NHS Foundation Trust View all articles by this author Richard Woolf Guy's and St Thomas' NHS Foundation Trust View all articles by this author Andrew Pink E King's College London View all articles by this author Jonathan Barker King's College London View all articles by this author Joseph Standing 0000-0002-4561-7173 University College London View all articles by this author Catherine Smith King's College London View all articles by this author Satveer Mahil 0000-0003-4692-3794 King's College London View all articles by this author Metrics & Citations Metrics Article Usage 255 views 147 downloads .FvxKWukQNSOunydq8rnd { width: 100px; } Citations Download citation Charlotte Thomas M, Jessica Ruoheng Wei, David Baudry, et al. Pharmacokinetic-Pharmacodynamic Modelling of Risankizumab Using Chronic Plaque Psoriasis Real-World Data. Authorea . 23 July 2025. DOI: https://doi.org/10.22541/au.175327223.38290631/v1 If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download. For more information or tips please see 'Downloading to a citation manager' in the Help menu . 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