CSL Vifor, Flughofstrasse 61, CH-8152 Glattbrugg, Switzerland.
Department of Pharmacy, National University of Singapore, 4 Science Drive 2, Singapore.
Eur J Pharm Biopharm. 2023 Jul;188:6-14. doi: 10.1016/j.ejpb.2023.04.025. Epub 2023 May 2.
Intravenous iron-carbohydrate complexes are nanomedicines that are commonly used to treat iron deficiency and iron deficiency anemia of various etiologies. Many challenges remain regarding these complex drugs in the context of fully understanding their pharmacokinetic parameters. Firstly, the measurement of the intact iron nanoparticles versus endogenous iron concentration fundamentally limits the availability of data for computational modeling. Secondly, the models need to include several parameters to describe the iron metabolism which is not completely defined and those identified (e.g. ferritin) exhibit considerable interpatient variability. Additionally, modeling is further complicated by the lack of traditional receptor/enzyme interactions. The known parameters of bioavailability, distribution, metabolism, and excretion for iron-carbohydrate nanomedicines will be reviewed and future challenges that currently prevent the direct application of physiologically-based pharmacokinetic or other computational modeling techniques will be discussed.
静脉内铁-碳水化合物复合物是纳米药物,常用于治疗各种病因的缺铁和缺铁性贫血。在充分了解其药代动力学参数的情况下,这些复杂药物仍然存在许多挑战。首先,完整的铁纳米颗粒与内源性铁浓度的测量从根本上限制了数据的可用性,无法进行计算建模。其次,这些模型需要包括几个参数来描述铁代谢,而铁代谢并未完全定义,且已确定的参数(如铁蛋白)显示出相当大的个体间变异性。此外,由于缺乏传统的受体/酶相互作用,建模变得更加复杂。本文将回顾铁-碳水化合物纳米药物的已知生物利用度、分布、代谢和排泄参数,并讨论当前阻碍生理药代动力学或其他计算建模技术直接应用的未来挑战。