Division of Pharmacology, Cluster Systems Pharmacology, Leiden Academic Centre for Drug Research, Leiden University Gorlaeus Laboratories, Einsteinweg 55, 2333 CC, Leiden, The Netherlands.
AAPS J. 2017 Jul;19(4):891-909. doi: 10.1208/s12248-017-0050-3. Epub 2017 Mar 9.
Despite the enormous research efforts that have been put into the development of central nervous system (CNS) drugs, the success rate in this area is still disappointing. To increase the successful rate in the clinical trials, first the problem of predicting human CNS drug distribution should be solved. As it is the unbound drug that equilibrates over membranes and is able to interact with targets, especially knowledge on unbound extracellular drug concentration-time profiles in different CNS compartments is important. The only technique able to provide such information in vivo is microdialysis. Also, obtaining CNS drug distribution data from human subjects is highly limited, and therefore, we have to rely on preclinical approaches combined with physiologically based pharmacokinetic (PBPK) modeling, taking unbound drug CNS concentrations into account. The next step is then to link local CNS pharmacokinetics to target interaction kinetics and CNS drug effects. In this review, system properties and small-molecule drug properties that together govern CNS drug distribution are summarized. Furthermore, the currently available approaches on prediction of CNS pharmacokinetics are discussed, including in vitro, in vivo, ex vivo, and in silico approaches, with special focus on the powerful combination of in vivo microdialysis and PBPK modeling. Also, sources of variability on drug kinetics in the CNS are discussed. Finally, remaining gaps and challenges are highlighted and future directions are suggested.
尽管在中枢神经系统 (CNS) 药物的开发方面已经投入了巨大的研究努力,但该领域的成功率仍然令人失望。为了提高临床试验的成功率,首先应该解决预测人体中枢神经系统药物分布的问题。由于只有游离药物才能在膜上达到平衡并与靶点相互作用,因此了解不同中枢神经系统隔室中游离细胞外药物浓度-时间曲线的知识非常重要。唯一能够提供体内此类信息的技术是微透析。此外,从人体受试者中获得中枢神经系统药物分布数据受到高度限制,因此,我们必须依靠临床前方法,并结合考虑游离药物中枢神经系统浓度的基于生理学的药代动力学 (PBPK) 模型。下一步是将局部中枢神经系统药代动力学与靶相互作用动力学和中枢神经系统药物效应联系起来。在这篇综述中,总结了共同控制中枢神经系统药物分布的系统特性和小分子药物特性。此外,还讨论了目前可用于预测中枢神经系统药代动力学的方法,包括体外、体内、离体和计算方法,特别强调了体内微透析和 PBPK 建模的强大组合。还讨论了中枢神经系统药物动力学的变异性来源。最后,突出了剩余的差距和挑战,并提出了未来的方向。