变构调节
糖皮质激素受体
配体(生物化学)
生物
受体
糖皮质激素
信号转导
化学生物学
合成代谢
细胞生物学
生物化学
内分泌学
作者
Nelson E. Bruno,J.C. Nwachukwu,Sathish Srinivasan,Charles C. Nettles,Tina Izard,Zhuang Jin,Jason Nowak,Michael D. Cameron,Siddaraju V. Boregowda,Donald G. Phinney,Olivier Elemento,Xu Liu,Eric A. Ortlund,René Houtman,Diana A. Stavreva,Gordon L. Hager,Theodore M. Kamenecka,Douglas J. Kojetin,K.W. Nettles
标识
DOI:10.1038/s41589-020-00719-w
摘要
Glucocorticoids display remarkable anti-inflammatory activity, but their use is limited by on-target adverse effects including insulin resistance and skeletal muscle atrophy. We used a chemical systems biology approach, ligand class analysis, to examine ligands designed to modulate glucocorticoid receptor activity through distinct structural mechanisms. These ligands displayed diverse activity profiles, providing the variance required to identify target genes and coregulator interactions that were highly predictive of their effects on myocyte glucose disposal and protein balance. Their anti-inflammatory effects were linked to glucose disposal but not muscle atrophy. This approach also predicted selective modulation in vivo, identifying compounds that were muscle-sparing or anabolic for protein balance and mitochondrial potential. Ligand class analysis defined the mechanistic links between the ligand-receptor interface and ligand-driven physiological outcomes, a general approach that can be applied to any ligand-regulated allosteric signaling system.
科研通智能强力驱动
Strongly Powered by AbleSci AI