变构调节
变构调节剂
γ-氨基丁酸受体
化学
药理学
兴奋剂
神经活性类固醇
受体
孕酮
作用机理
跨膜结构域
内在活性
部分激动剂
γ-氨基丁酸受体
生物物理学
生物化学
生物
体外
作者
Nawid Madjroh,Emma Rie Olander,Christoffer Bundgaard,Pella Cecilia Söderhielm,Anders A. Jensen
标识
DOI:10.1016/j.bcp.2017.11.006
摘要
The former sedative-hypnotic and recreational drug methaqualone (Quaalude) is a moderately potent, non-selective positive allosteric modulator (PAM) at GABAA receptors (GABAARs) (Hammer et al., 2015). In the present study, we have identified a novel methaqualone analog, 2-phenyl-3-(p-tolyl)quinazolin-4(3H)-one (PPTQ), in a screening of 67 analogs at five αβ2γ2S GABAAR subtypes and delineated its functional properties and mechanism of action at wild-type and mutant GABAARs expressed in Xenopus laevis oocytes by two-electrode voltage clamp electrophysiology. PPTQ was found to be an allosteric agonist and a PAM (ago-PAM) at human α1β2γ2S and α4β2δ GABAARs, exhibiting intrinsic activity at micromolar concentrations and potentiating the GABA-evoked signaling through the receptors at concentrations down to the low-nanomolar range. Whereas PPTQ exclusively increased the potency of GABA at the α1β2γ2S receptor, it increased both GABA potency and efficacy at α4β2δ and displayed modest potency-based preference for α4β2δ over α1β2γ2S. In elaborate mutagenesis and competition experiments PPTQ was found to act through the same or an overlapping site as etomidate in the transmembrane β(+)/α(-) subunit interfaces, whereas it did not seem to target the other three transmembrane interfaces in the GABAAR. Finally, the PPTQ site was shown to be allosterically linked with sites targeted by neurosteroids and barbiturates but not with the high-affinity benzodiazepine site in the α1β2γ2S receptor. In conclusion, the development of a highly potent, bioavailable GABAAR ago-PAM by subtle modifications to the methaqualone scaffold demonstrates that derivatization of this infamous drug from the past can lead to modulators with distinct functional characteristics at the receptors.
科研通智能强力驱动
Strongly Powered by AbleSci AI