通过常微分方程建模和 ac 生物感测法了解磁性纳米粒子在肝硬化相关肝癌发生过程中的药代动力学

Diego Samuel Rodrigues , Guilherme Augusto Soares , Verónica Andréa González-López , Anibal Thiago Bezerra , Mats Jirstrand , José Ricardo de Arruda Miranda
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引用次数: 0

摘要

引言/理由磁性纳米粒子(MNPs)已被视为一种新的潜在治疗剂,多项研究都致力于在生物医学中应用 MNPs,包括将其用作交变电流生物扫描仪(ACB)中的成像对比剂。在这一领域,多通道交变电流生物检感仪(MC-ACB)设备的新颖性允许在动物模型(包括以肝脏疾病为重点的实验)中生成 MNPs 生物分布过程的实时磁性图像。为了定量描述这种疾病如何改变 MNPs 的生物分布,本文研究了两组不同的动物:一组健康动物对照组(SAL)和一组肝细胞癌动物对照组(DEN/TAA)。MC-ACB 系统用于同时记录 MNPs 在心脏中的转运及其在肝脏中的蓄积。本文通过对两组动物(癌症(DEN/TAA)和对照组(SAL))进行群体参数估计,报告了 MNPs 的药代动力学变化率。它们指的是 MNPs 从心脏到肝脏(k1)、从肝脏到心脏(k2)的变化,以及肝脏亚室中 Kupffer 细胞对 MNPs 的不可逆吸收(k3)。所有动物实验都事先获得了圣保罗州立大学动物使用伦理委员会(IBB/UNESP)的批准,并按照 7571041120 协议进行。结果值得注意的是,各组之间的 k2 和 k3 都有差异,但 k1 没有差异,这与 MNP 的肝脏药代动力学预计会受到 DEN/TAA 组化学诱导的肝硬化相关肝癌发生的影响这一事实一致。DEN/TAA 组的 k2 和 k3 较高,这与肝硬化患者因血容量较高而较早达到 MNP 肝药代动力学饱和有关,而肝硬化相关肝癌的发生也会影响磁性纳米粒子的生物分布。结论该研究提出的建模方法为定量描述磁性纳米粒子在健康大鼠和肝硬化大鼠中的生物分布提供了一个强大的工具,可以估算与磁性纳米粒子分布相关的药代动力学速率参数。所引入的模型能可靠地描述纳米粒子在不同时间段的浓度,这可能有助于靶向给药策略的开发。最后,本研究强调了数学建模对于理解纳米粒子与生命系统相互作用等复杂现象的意义,特别是在开发有效的治疗应用方面。
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ACCESSING THE PHARMACOKINETICS OF MAGNETIC NANOPARTICLES IN CIRRHOSIS-ASSOCIATED HEPATOCARCINOGENESIS BY ORDINARY DIFFERENTIAL EQUATION MODELING AND AC BIOSUSCEPTOMETRY

Introduction/Justification

Magnetic nanoparticles (MNPs) have been explored as a new potential theranostic agent, and several studies have devoted significant efforts to employ MNPs in biomedicine, including their applications as imaging contrast agents in alternating current biosusceptometry (ACB). In this field, the novelty of multichannel alternating current biosusceptometry (MC-ACB) devices allow the generation of real-time magnetic images of processes of biodistribution of MNPs in essays with animal models, including experiments focused on liver diseases.

Objectives

This study refers to the in vivo biodistribution of MNPs detected by the multichannel ACB system, aimed at how the pharmacokinetics of MNPs is affected in the case of hepatocellular carcinoma. This evaluation has already been presented in a previous paper in terms of experimental results, but not in terms of pharmacokinetic modeling.

Materials and Methods

In order to quantitatively describe how this disease may alter the biodistribution of MNPs, two different groups of animals are addressed here: a control group of healthy animals (SAL) and a group of animals with hepatocellular carcinoma (DEN/TAA). The MC-ACB system was used to simultaneously record the transit of MNPs in the heart and their accumulation in the liver. Pharmacokinetic rates of change of MNPs are reported here by proceeding with population parameter estimation for two groups of animals: cancer (DEN/TAA) and control (SAL). They refer to the change of MNPs from heart to liver (k1), from liver to heart (k2), and as the irreversible uptake of MNPs by Kupffer cells within a liver subcompartment (k3). All animal experiments were previously approved and performed according to the protocol 7571041120 by the Ethics Committee on Animal Use of the State University of São Paulo (IBB/UNESP).

Results

Notably, both k2 and k3 were found to differ between groups, but not k1, consistent with the fact that MNP liver pharmacokinetics are expected to be affected by the chemically induced cirrhosis-associated hepatocarcinogenesis of the DEN/TAA group. The fact that k2 and k3 are higher for the DEN/TAA group is related to earlier MNP liver saturation in cirrhosis due to higher blood volume, and cirrhosis-associated hepatocarcinogenesis is revealed to affect the biodistribution of magnetic nanoparticles.

Conclusion

The modeling approach proposed in the research provides a powerful tool to quantitatively describe the biodistribution of magnetic nanoparticles in healthy and cirrhotic rats, allowing the estimation of pharmacokinetic rate parameters related to the distribution of magnetic nanoparticles. The introduced modeling robustly describes the concentration of nanoparticles in compartments over time, which may assist in the development of targeted drug delivery strategies. Finally, this study highlights the relevance of mathematical modeling for understanding complex phenomena such as nanoparticle interactions with living systems, particularly in the development of effective theranostic applications.

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来源期刊
CiteScore
2.40
自引率
4.80%
发文量
1419
审稿时长
30 weeks
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