Model‐informed drug development to support nemolizumab clinical development in adults and adolescents with moderate to severe atopic dermatitis
Year: 2026
Type: article
Abstract: AIMS: Population pharmacokinetic (popPK) and pharmacokinetic-pharmacodynamic (PK/PD) models were developed to support clinical development of nemolizumab, a humanized monoclonal antibody targeting the IL-31 receptor α, in adolescents and adults with moderate-to-severe atopic dermatitis (AD). METHODS: Starting from previous analyses, data from phase 2 to phase 3 studies in AD and prurigo nodularis were integrated into popPK model development. In initial PK/PD model development, a turnover model was used for Eczema Area and Severity Index (EASI) and Peak Pruritus Numerical Rating Scale (PP NRS) endpoints, while a continuous-time Markov model was used for Investigator's Global Assessment (IGA) scores. A model-informed drug development (MIDD) approach based on popPK and PK/PD modelling and simulations was applied to support dose selection in patients with AD. RESULTS: Nemolizumab exposures decreased with increasing bodyweight. The popPK simulation predicted different median Ctroughs according to bodyweight <90 kg or ≥90 kg: 2.51 vs. 1.71 μg/mL, respectively. However, PK/PD simulations showed that the proportion of responders for EASI, PP NRS and IGA endpoints was similar in both groups: 37.5%, 55.6% and 31.6% vs. 35.1%, 53.4% and 26.3% for bodyweight <90 kg or ≥90 kg, respectively. Reduced response of IGA to nemolizumab treatment was identified for male subjects (23.4% vs. 34.0%) and severe baseline score (19.3% vs. 32.3%) with consistent trends between bodyweight group. CONCLUSIONS: The overall MIDD approach supported the nemolizumab program by confirming the recommended dosing regimen of 30 mg every four weeks with a 60 mg loading dose in all patients with AD.
DOI: 10.1002/bcp.70435
Authors: Floris Fauchet, Anna Largajolli, Petra M. Jauslin, Emilie Schindler, Mourad Hamimed, Wannee Kantasiripitak, Antonio Gonçalves, Eline Van Maanen, Khaled Benkali, Tomohisa Saito, Jonathan I. Silverberg, Andreas Wollenberg, Michael Graeber, Liliana Ulianov, Christophe Piketty, Luca Loprete, Vincent Duval, Nathalie Wagner
Language: English
Subfield: Dermatology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $4,780
Funder: Galderma
OpenAlex ID: W7124554872
