创新链/学科链/研发链/产业链

新药研发前沿动态 / 医药领域趋势进展

生理药动学模型在抗精神病药物研究中的应用进展

Advances in the Application of PhysiologicallyBased Pharmacokinetic Modeling in Antipsychotic Drugs Research

  • 摘要: 抗精神病药物包括氯氮平、利培酮、奥氮平、喹硫平和阿立哌唑等,在临床上广泛用于治疗精神分裂症,同时也可用于治疗其他精神类疾病。抗精神病药一般按照固定剂量口服,但对于肝肾功能不全、高龄、儿童、孕妇和联合用药等特殊人群,其体内药物代谢可能会发生变化,导致抗精神病药血药浓度增加或减少,进而导致药效和毒性差异。因此,抗精神病药的体内药动学在个体化用药中具有重要意义。生理药物代谢动力学模型(physiologically based pharmacokinetic model,PBPK)可调节人体的量化生理参数,以此预测抗精神病药物在复杂临床用药情况下的药动学特征,对于调整特殊人群临床安全有效的治疗方案至关重要。通过对常见抗精神病药在特殊人群中的生理药动学模型研究进行详细综述,希望为抗精神病药物研发及临床合理应用提供参考。

     

    Abstract: Antipsychotics, including clozapine, risperidone, olanzapine, quetiapine and aripiprazole, are widely used in clinical practice for the treatment of schizophrenia, and also for the treatment of other psychiatric disorders. Antipsychotics are usually taken orally at a fixed dose. However, for special populations like those with hepatic and renal insufficiency, advanced age, children, pregnancy and co-administration of medications, changes in drug metabolism in the body may occur, leading to an increase or decrease in antipsychotic blood concentration, which in turn leads to differences in drug efficacy and toxicity. Therefore, the in vivo pharmacokinetics of antipsychotics is important for individualized medication. Physiologically-based pharmacokinetic modeling can predict the pharmacokinetic characteristics of antipsychotics in various complex clinical situations by adjusting quantitative physiological parameters, which is crucial for adjusting clinically safe and effective therapeutic regimens for special populations. This paper reviews the studies of physiologically-based pharmacokinetic modeling of common antipsychotics in special populations, aiming to provide some reference for antipsychotic drug development and rational clinical application.

     

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