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Comparison of Conventional Chemotherapy Stealth Liposomes and Temperature-Sensitive Liposomes in a Mathematical Model

机译:常规化疗隐形脂质体和温度敏感的脂质体的数学模型比较

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摘要

Various liposomal drug carriers have been developed to overcome short plasma half-life and toxicity related side effects of chemotherapeutic agents. We developed a mathematical model to compare different liposome formulations of doxorubicin (DOX): conventional chemotherapy (Free-DOX), Stealth liposomes (Stealth-DOX), temperature sensitive liposomes (TSL) with intra-vascular triggered release (TSL-i), and TSL with extra-vascular triggered release (TSL-e). All formulations were administered as bolus at a dose of 9 mg/kg. For TSL, we assumed locally triggered release due to hyperthermia for 30 min. Drug concentrations were determined in systemic plasma, aggregate body tissue, cardiac tissue, tumor plasma, tumor interstitial space, and tumor cells. All compartments were assumed perfectly mixed, and represented by ordinary differential equations. Contribution of liposomal extravasation was negligible in the case of TSL-i, but was the major delivery mechanism for Stealth-DOX and for TSL-e. The dominant delivery mechanism for TSL-i was release within the tumor plasma compartment with subsequent tissue- and cell uptake of released DOX. Maximum intracellular tumor drug concentrations for Free-DOX, Stealth-DOX, TSL-i, and TSL-e were 3.4, 0.4, 100.6, and 15.9 µg/g, respectively. TSL-i and TSL-e allowed for high local tumor drug concentrations with reduced systemic exposure compared to Free-DOX. While Stealth-DOX resulted in high tumor tissue concentrations compared to Free-DOX, only a small fraction was bioavailable, resulting in little cellular uptake. Consistent with clinical data, Stealth-DOX resulted in similar tumor intracellular concentrations as Free-DOX, but with reduced systemic exposure. Optimal release time constants for maximum cellular uptake for Stealth-DOX, TSL-e, and TSL-i were 45 min, 11 min, and <3 s, respectively. Optimal release time constants were shorter for MDR cells, with ∼4 min for Stealth-DOX and for TSL-e. Tissue concentrations correlated well quantitatively with a prior in-vivo study. Mathematical models may thus allow optimization of drug delivery systems to achieve a better therapeutic index.
机译:已经开发出各种脂质体药物载体以克服化学治疗剂的短血浆半衰期和毒性相关的副作用。我们开发了一个数学模型来比较阿霉素(DOX)的不同脂质体制剂:常规化疗(Free-DOX),隐形脂质体(Stealth-DOX),温度敏感脂质体(TSL)与血管内触发释放(TSL-i), TSL和血管外触发释放(TSL-e)。所有制剂均以9mg / kg的剂量推注施用。对于TSL,我们假设30分钟内因高温导致局部触发释放。在全身血浆,聚集体组织,心脏组织,肿瘤血浆,肿瘤间质空间和肿瘤细胞中测定药物浓度。假定所有隔室完全混合,并用常微分方程表示。对于TSL-i,脂质体外渗的贡献可忽略不计,但对于Stealth-DOX和TSL-e而言,这是主要的传递机制。 TSL-1的主要传递机制是在肿瘤血浆腔室内释放,随后组织和细胞摄取释放的DOX。 Free-DOX,Stealth-DOX,TSL-i和TSL-e的最大细胞内肿瘤药物浓度分别为3.4、0.4、100.6和15.9 µg / g。与Free-DOX相比,TSL-i和TSL-e具有较高的局部肿瘤药物浓度,并减少了全身暴露。与Free-DOX相比,Stealth-DOX导致肿瘤组织浓度高,但只有一小部分具有生物利用度,导致细胞摄取很少。与临床数据一致,Stealth-DOX产生的肿瘤细胞内浓度与Free-DOX相似,但全身暴露减少。对于Stealth-DOX,TSL-e和TSL-i,最大细胞摄取的最佳释放时间常数分别为45分钟,11分钟和<3 s。 MDR细胞的最佳释放时间常数较短,Stealth-DOX和TSL-e的最佳释放时间常数约为4分钟。组织浓度与先前的体内研究定量相关。数学模型因此可以允许优化药物递送系统以获得更好的治疗指数。

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