Analytical methods for investigating in vivo fate of nanoliposomes: A review.
Analytical methods for investigating in vivo fate of nanoliposomes: A review.
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研究纳米脂质体体内命运的分析方法：综述
DOI：
10.1016/j.jpha.2018.07.002
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发表时间：
2018-08
影响因子：
8.8
通讯作者：
Gu J
中科院分区：
文献类型：
--
作者：
Su C;Liu Y;He Y;Gu J
纳米脂质体被认为是最成功的纳米颗粒给药系统，但由于缺乏可靠的生物分析方法，其在体内的命运尚未完全了解，这严重限制了脂质体药物的发展。因此，对目前使用的生物分析方法进行概述是必要的，以便为开发体内脂质体测量的生物分析方法奠定基础。目前，体内纳米脂质体测量的主要分析方法包括荧光标记、放射性标记、磁共振成像（MRI）、质谱分析和计算机断层扫描。本文对这些生物分析方法进行了综述，并对各自的优缺点进行了讨论。我们提供了这些分析方法在体内纳米脂质体测量应用中的适用性和局限性的见解，并重点介绍了仪器分析技术的最新发展。本文综述了纳米脂质体在体内的设计和相关命运的研究，促进了纳米脂质体测量的生物分析技术的发展，并了解了纳米脂质体在体内的药代动力学行为、有效性和潜在毒性。
Nanoliposomes are considered to be the most successful nanoparticle drug delivery system, but their fate in vivo has not been fully understood due to lack of reliable bioanalytical methods, which seriously limits the development of liposomal drugs. Hence, an overview of currently used bioanalytical methods is imperative to lay the groundwork for the need of developing a bioanalytical method for liposome measurements in vivo. Currently, major analytical methods for nanoliposomes measurement in vivo include fluorescence labeling, radiolabeling, magnetic resonance imaging (MRI), mass spectrometry and computed tomography. In this review, these bioanalytical methods are summarized, and the advantages and disadvantages of each are discussed. We provide insights into the applicability and limitations of these analytical methods in the application of nanoliposomes measurement in vivo, and highlight the recent development of instrumental analysis techniques. The review is devoted to providing a comprehensive overview of the investigation of nanoliposomes design and associated fate in vivo, promoting the development of bioanalytical techniques for nanoliposomes measurement, and understanding the pharmacokinetic behavior, effectiveness and potential toxicity of nanoliposomes in vivo.
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DOI：
10.1016/j.jconrel.2014.02.005
发表时间：
2014-04-28
期刊：
Journal of controlled release : official journal of the Controlled Release Society
影响因子：
--
作者：
Chan KW;Yu T;Qiao Y;Liu Q;Yang M;Patel H;Liu G;Kinzler KW;Vogelstein B;Bulte JW;van Zijl PC;Hanes J;Zhou S;McMahon MT
通讯作者：
McMahon MT
影响因子：
7.4
作者：
Cheng Z;Al Zaki A;Hui JZ;Tsourkas A
通讯作者：
Tsourkas A
影响因子：
5.4
作者：
Etheridge, Michael L.;Campbell, Stephen A.;Erdman, Arthur G.;Haynes, Christy L.;Wolf, Susan M.;McCullough, Jeffrey
通讯作者：
McCullough, Jeffrey
影响因子：
14
作者：
Crayton, Samuel H.;Elias, Drew R.;Al Zaki, Ajlan;Cheng, Zhiliang;Tsourkas, Andrew
通讯作者：
Tsourkas, Andrew
影响因子：
11.2
作者：
Chen, XY;Conti, PS;Moats, RA
通讯作者：
Moats, RA