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用于实体瘤中快速和超长 MRI 信号的基于 Gd 的纳米颗粒的微流控合成。

Microfluidic Synthesis of Gd-Based Nanoparticles for Fast and Ultralong MRI Signals in the Solid Tumor.

机构信息

Beijing Engineering Research Center for BioNanotechnology and CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for NanoScience and Technology, No. 11 Zhongguancun Beiyitiao, Beijing, 100190, P. R. China.

University of Chinese Academy of Sciences, 19 A Yuquan Road, Shijingshan District, Beijing, 100049, P. R. China.

出版信息

Adv Healthc Mater. 2019 Oct;8(20):e1900672. doi: 10.1002/adhm.201900672. Epub 2019 Sep 17.


DOI:10.1002/adhm.201900672
PMID:31529786
Abstract

Clinically used magnetic resonance imaging contrast agents (MRI CAs) for solid tumors suffer from short life spans and low accumulation at the tumor for their low molecular weights. A good solution is to incorporate these MRI CAs into nanoparticles. Food and Drug Administration-approved compounds, poly(lactic-co-glycolic acid) (PLGA) and lipids, are chosen to assemble these nanoparticles. PLGA/lipid hybrid nanoparticles are assembled in microfluidic channels with a suitable size distribution for imaging tumors. These nanoparticles achieve clearly enhanced MRI contrast at the tumor at 0.5 h postinjection. The enhanced MRI contrast is sustained for 16 h. They can margin the tumor with as good an enhanced MRI contrast as clinical MRI CAs (which visualize the whole tumor) of the solid tumor with much less Gd. They are particularly useful for monitoring the solid tumor after therapy within a day and without repeated administration as clinical MRI CAs.

摘要

临床上用于实体瘤的磁共振成像对比剂(MRI CAs)因其分子量低,存在半衰期短和在肿瘤部位积累少的问题。一个很好的解决方案是将这些 MRI CAs 纳入纳米颗粒中。已被美国食品和药物管理局批准的化合物聚(乳酸-共-乙醇酸)(PLGA)和脂质被选择用于组装这些纳米颗粒。PLGA/脂质杂化纳米颗粒在微流控通道中组装,具有适合成像肿瘤的合适粒径分布。这些纳米颗粒在注射后 0.5 小时在肿瘤处实现了明显增强的 MRI 对比。增强的 MRI 对比持续 16 小时。它们可以与临床 MRI CAs(可使整个肿瘤可视化)一样好地对肿瘤进行边缘成像,而 Gd 的用量要少得多。它们特别适用于在一天内监测治疗后的实体瘤,而不需要像临床 MRI CAs 那样重复给药。

相似文献

[1]
Microfluidic Synthesis of Gd-Based Nanoparticles for Fast and Ultralong MRI Signals in the Solid Tumor.

Adv Healthc Mater. 2019-9-17

[2]
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