谷歌浏览器插件
订阅小程序
在清言上使用

Functional Selectivity at Cannabinoid Receptors.

Advances in Pharmacology(2017)

引用 28|浏览5
暂无评分
摘要
It is now clear that, in contrast to traditional descriptions of G protein-coupled receptor signaling, agonists can activate or inhibit characteristic patterns of downstream effector pathways depending on their structures and the conformational changes induced in the receptor. This is referred to as functional selectivity (also known as agonist-directed trafficking, ligand-induced differential signaling, or biased agonism). It is important because even small structural differences can result in significant variations in overall agonist effects (wanted and unwanted) depending on which postreceptor signaling systems are engaged by each agonist/receptor pairing. In addition to the canonical signaling pathways mediated by G(i/o) proteins, CB1 and CB2 receptor agonists can have effects via differential activation not only of G(i) subtypes but also of G(s) and G(q/11) proteins. For example, the classical cannabinoid HU-210 produces maximal activation of both G(i) and G(o) proteins, while the endocannabinoid anandamide and aminoalkylindole WIN 55,212 both produce maximal activation of G(i), but submaximal activation of G(o). Cannabinoid agonists can also signal differentially via ss-arrestins coupled to mitogen-activated protein kinases, subsequently promoting varying degrees of receptor internalization and agonist desensitization. A recent extensive characterization of the molecular pharmacology of CB2 agonists (Soethoudt et al., 2017) identified marked differences (bias) in the ability of certain agonists to activate distinct signaling pathways (cAMP accumulation, ERK phosphorylation, GIRK activation, GTP gamma S binding, and ss-arrestin recruitment) and to cause off-target effects, exemplifying the need to evaluate functional selectivity in agonist drug development.
更多
查看译文
关键词
Agonist bias,Agonist-directed trafficking,Differential signaling,Functional selectivity
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要