结合
糖皮质激素受体
化学
药理学
连接器
抗体
单克隆抗体
免疫系统
药物输送
药品
糖皮质激素
免疫学
医学
有机化学
数学分析
操作系统
计算机科学
数学
作者
Adrian D. Hobson,Michael J. McPherson,Wendy Waegell,Christian Goess,Robert H. Stoffel,Xiang Li,Zhou Jian,Zhongyuan Wang,Yajie Yu,Axel Hernandez,Shaughn H. Bryant,Suzanne Mathieu,Agnieszka K. Bischoff,Julia Fitzgibbons,Martyna Pawlikowska,Sujiet Puthenveetil,Ling C. Santora,Lu Wang,Lu Wang,Christopher C. Marvin
标识
DOI:10.1021/acs.jmedchem.1c02099
摘要
Glucocorticoid receptor modulators (GRM) are the first-line treatment for many immune diseases, but unwanted side effects restrict chronic dosing. However, targeted delivery of a GRM payload via an immunology antibody-drug conjugate (iADC) may deliver significant efficacy at doses that do not lead to unwanted side effects. We initiated our α-TNF-GRM ADC project focusing on identifying the optimal payload and a linker that afforded stable attachment to both the payload and antibody, resulting in the identification of the synthetically accessible maleimide-Gly-Ala-Ala linker. DAR 4 purified ADCs were shown to be more efficacious in a mouse contact hypersensitivity model than the parent α-TNF antibody. Analysis of P1NP and corticosterone biomarkers showed there was a sufficient therapeutic window between efficacy and unwanted effects. In a chronic mouse arthritis model, α-TNF-GRM ADCs were more efficacious than both the parent α-TNF mAb and an isotype control bearing the same GRM payload.
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