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Molecular Imaging and Biology
Erschienen in: Molecular Imaging and Biology 6/2019

08.03.2019 | Research Article

In Vivo Pharmacokinetics Assessment of Indocyanine Green-Loaded Nanoparticles in Tumor Tissue with a Dynamic Diffuse Fluorescence Tomography System

verfasst von: Yanqi Zhang, Limin Zhang, Guoyan Yin, Wenjuan Ma, Jiao Li, Zhongxing Zhou, Feng Gao

Erschienen in: Molecular Imaging and Biology | Ausgabe 6/2019

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Abstract

Purpose

The purpose of this study was to show a systematic strategy for assessing the pharmacokinetics of indocyanine green (ICG)-loaded nanoparticles in the tumor tissue based on a dynamic diffuse fluorescence tomography (DFT) system.

Procedures

Twelve-seven-week-old male Balb/c nude mice bearing HepG2/ADR hepatocellular carcinoma were randomly divided into four groups (n = 3 per group). Four hundred microliters of three types of ICG-loaded nanoparticles (content of ICG: 50 μg/ml) and free ICG (50 μg/ml) was intravenously injected into the mice in each group, respectively. Afterwards, the real-time tomographic images on the spatial level were acquired at 2–11 min, 30 min, 1, 2, 3, 4, 6, 8, 10, 12, and 24 h post-injection, and pharmacokinetic rates were derived for semi-quantitative assessment of the pharmacokinetics of nanoparticles at the tumor site using our proposed pharmacokinetic analysis method.

Results

The results obtained from our proposed dynamic DFT experiment demonstrated the distribution of different ICG formulations on the spatial level and enabled the semi-quantitative analysis of the pharmacokinetics of nanoparticles in the tumor tissue.

Conclusions

The obtained pharmacokinetic rates effectively reflected the metabolic processes of nanoparticles in the tumor tissue, which proves to be beneficial for the development of tumor diagnosis and therapy.
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Metadaten
Titel
In Vivo Pharmacokinetics Assessment of Indocyanine Green-Loaded Nanoparticles in Tumor Tissue with a Dynamic Diffuse Fluorescence Tomography System
verfasst von
Yanqi Zhang
Limin Zhang
Guoyan Yin
Wenjuan Ma
Jiao Li
Zhongxing Zhou
Feng Gao
Publikationsdatum
08.03.2019
Verlag
Springer International Publishing
Erschienen in
Molecular Imaging and Biology / Ausgabe 6/2019
Print ISSN: 1536-1632
Elektronische ISSN: 1860-2002
DOI
https://doi.org/10.1007/s11307-019-01340-7

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