A Mathematical Modeling Approach to Understanding the Effect of Anti‐Interleukin Therapy on Eosinophils

Emerging T-helper type 2 (Th2) cytokine-based asthma therapies, such as tralokinumab, lebrikizumab (anti-interleukin (IL)-13), and mepolizumab (anti-IL-5), have shown differences in their blood eosinophil (EOS) response. To better understand these effects, we developed a mathematical model of EOS dynamics. For the anti-IL-13 therapies, lebrikizumab and tralokinumab, the model predicted an increase of 30% and 10% in total and activated EOS in the blood, respectively, and a decrease in the total and activated EOS in the airways. The model predicted a rapid decrease in total and activated EOS levels in blood and airways for the anti-IL-5 therapy mepolizumab. All model-based predictions were consistent with published clinical observations. The modeling approach provided insights into EOS response after treatment with Th2-targeted therapies, and supports the hypothesis that an increase in blood EOS after anti-IL-13 therapy is part of the pharmacological action of these therapies.