Dogra Prashant, Butner Joseph D, Ramirez Javier Ruiz, Cristini Vittorio, Wang Zhihui
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:2447-2450. doi: 10.1109/EMBC44109.2020.9175322.
The application of nanomedicine for diagnosis and treatment of cancer has immense potential, but has witnessed only limited clinical success, in part due to insufficient understanding of the role of nanomaterial properties and physiological variables in governing nanoparticle (NP) pharmacology. Here, we present a multiscale mathematical model to examine the effects of physiological changes associated with patient age on the pharmacokinetics and tumor delivery efficiency of NPs. We show that physiological changes due to aging prolong the residence of NPs in the systemic circulation, thereby improving passive accumulation of NPs in tumors.Clinical Relevance - Understanding the effect of inter-individual variability on the pharmacological behavior of nanomaterials will improve their clinical translatability.
纳米医学在癌症诊断和治疗中的应用具有巨大潜力，但目前临床成功案例有限，部分原因是对纳米材料特性和生理变量在纳米颗粒（NP）药理学中所起作用的理解不足。在此，我们提出一个多尺度数学模型，以研究与患者年龄相关的生理变化对NP药代动力学和肿瘤递送效率的影响。我们发现，衰老引起的生理变化会延长NP在体循环中的停留时间，从而提高NP在肿瘤中的被动蓄积。临床意义——了解个体间变异性对纳米材料药理行为的影响将提高其临床可转化性。
