School of Nursing and Healthcare Leadership, University of Bradford, Bradford, UK.
School of Applied Sciences, University of Huddersfield, Huddersfield, UK.
Forensic Toxicol. 2022 Jul;40(2):349-356. doi: 10.1007/s11419-022-00616-y. Epub 2022 Mar 16.
The number of benzodiazepines appearing as new psychoactive substances (NPS) is continually increasing. Information about the pharmacological parameters of these compounds is required to fully understand their potential effects and harms. One parameter that has yet to be described is the blood-to-plasma ratio. Knowledge of the pharmacodynamics of designer benzodiazepines is also important, and the use of quantitative structure-activity relationship (QSAR) modelling provides a fast and inexpensive method of predicting binding affinity to the GABA receptor.
In this work, the blood-to-plasma ratios for six designer benzodiazepines (deschloroetizolam, diclazepam, etizolam, meclonazepam, phenazepam, and pyrazolam) were determined. A previously developed QSAR model was used to predict the binding affinity of nine designer benzodiazepines that have recently appeared.
Blood-to-plasma values ranged from 0.57 for phenazepam to 1.18 to pyrazolam. Four designer benzodiazepines appearing since 2017 (fluclotizolam, difludiazepam, flualprazolam, and clobromazolam) had predicted binding affinities to the GABA receptor that were greater than previously predicted binding affinities for other designer benzodiazepines.
This work highlights the diverse nature of the designer benzodiazepines and adds to our understanding of their pharmacology. The greater predicted binding affinities are a potential indication of the increasing potency of designer benzodiazepines appearing on the illicit drugs market.
苯二氮䓬类药物作为新型精神活性物质(NPS)的数量不断增加。为了充分了解这些化合物的潜在影响和危害,需要了解其药理学参数。一个尚未描述的参数是血-血浆比。了解设计苯二氮䓬类药物的药效学也很重要,而定量构效关系(QSAR)建模的使用提供了一种快速且廉价的方法来预测与 GABA 受体的结合亲和力。
在这项工作中,确定了六种设计苯二氮䓬类药物(去氯依他唑仑、地西泮、依他唑仑、美克洛仑、苯并二氮䓬和吡唑仑)的血-血浆比。使用先前开发的 QSAR 模型来预测最近出现的九种设计苯二氮䓬类药物的结合亲和力。
血-血浆值范围为苯并二氮䓬的 0.57 至吡唑仑的 1.18。自 2017 年以来出现的四种设计苯二氮䓬类药物(氟氯他唑仑、二氟西泮、氟拉他唑仑和氯溴唑仑)的预测结合亲和力大于先前预测的其他设计苯二氮䓬类药物的结合亲和力。
这项工作突出了设计苯二氮䓬类药物的多样性,并增加了我们对其药理学的理解。预测结合亲和力的增加表明出现在非法毒品市场上的设计苯二氮䓬类药物的效力正在增强。