激发放射增强剂铂纳米颗粒的PET成像所得的药代动力学

IF 4.7 4区 医学 Q1 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Xiaomin Yang PhD , Vu Long Tran PhD , Hynd Remita PhD , Farah Savina B.S. , Caroline Denis B.S. , Dimitri Kereselidze B.S. , Benoit Jego B.S. , Sandrine Lacombe PhD , Erika Porcel PhD , Charles Truillet PhD
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引用次数: 0

摘要

放射治疗中的个体化治疗方法需要向肿瘤提供精确的剂量。这个概念是为了提高放射治疗的有效性,同时不影响周围的健康组织。这可以通过使用高z金属基纳米颗粒(NPs)作为无线电增强剂和PET成像来绘制NPs分布以指导照射来实现。在本研究中,放射性增强铂NPs被放射性标记和成像,以评估其药代动力学随时间的变化。PET成像显示这些NPs的渗透和滞留效果增强。在注射后24小时观察到最大的肿瘤积累(4.8±0.8% ID/cc),随着NPs的持续积累,特别是在肿瘤环,即使在几天后也持续积累。这些特性积极地提示了这些NPs的潜在临床应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Pharmacokinetics derived from PET imaging of inspiring radio-enhancer platinum nanoparticles

Pharmacokinetics derived from PET imaging of inspiring radio-enhancer platinum nanoparticles

Personalized medicine approach in radiotherapy requires the delivery of precise dose to the tumor. The concept is to increase the effectiveness of radiotherapy while sparing the surrounding heathy tissue. This can be achieved by the use of high-Z metal-based nanoparticles (NPs) as radio-enhancers and PET imaging for mapping NPs distribution to guide the irradiation. In the present study, radio-enhancing platinum NPs were radiolabeled and imaged to assess their pharmacokinetics over time. PET imaging of these NPs revealed high enhanced permeation and retention effect. The maximal tumor accumulation (4.8 ± 0.8 %ID/cc) was observed at 24 h post-injection along with persistent accumulation of the NPs, especially at the tumor ring, even after several days. These properties positively suggest the potential clinical use of these NPs.

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来源期刊
CiteScore
8.10
自引率
3.60%
发文量
104
审稿时长
4.6 months
期刊介绍: Nanomedicine: Nanotechnology, Biology and Medicine (NBM) is an international, peer-reviewed journal presenting novel, significant, and interdisciplinary theoretical and experimental results related to nanoscience and nanotechnology in the life and health sciences. Content includes basic, translational, and clinical research addressing diagnosis, treatment, monitoring, prediction, and prevention of diseases.
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