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基于人血清白蛋白的药物治疗剂开发的最新进展。

Recent advances on the development of pharmacotherapeutic agents on the basis of human serum albumin.

作者信息

Liu Fang, Mu Jing, Xing Bengang

机构信息

Division of Chemistry and Biological Chemistry, Nanyang Technological University, Singapore 637371, Singapore.

出版信息

Curr Pharm Des. 2015;21(14):1866-88. doi: 10.2174/1381612821666150302115411.

Abstract

Human serum albumin (HSA), a major transport protein component in blood plasma, has been reported recently to play many important roles in pharmacotherapeutics development. Owing to its promising intrinsic binding capability of drug molecules, HSA offers favorable characteristics and can be directly used as its monomeric formula or can be fabricated into protein based nanoparticle platforms to realize the effective delivery of therapeutic molecules into targeted diseases areas. In addition, HSA can also serve as a protein stabilizer or environment-responsive moieties to hybridize with the functional materials including polymers or inorganic nanoparticles through the covalent reactions or electrostatic interactions, and can thus greatly alter the relevant biological distribution and pharmacokinetic behavior to improve their therapeutic efficacy. By right, extensive studies have been conducted to develop HSA-conjugated pharmacotherapeutic agents toward effective in vitro and in vivo diseases diagnosis and treatment. The current review gives an in-detail account of the latest progresses of HSA-based carriers as functional protein materials, mainly with respect to its conjugation types, formulation aspects, and importantly their promising applications towards enhanced drug delivery and medical diagnosis.

摘要

人血清白蛋白(HSA)是血浆中的一种主要转运蛋白成分,最近有报道称其在药物治疗学发展中发挥着许多重要作用。由于其对药物分子具有良好的内在结合能力,HSA具有良好的特性,既可以直接以其单体形式使用,也可以制成基于蛋白质的纳米颗粒平台,以实现治疗分子向靶向疾病区域的有效递送。此外,HSA还可以作为蛋白质稳定剂或环境响应部分,通过共价反应或静电相互作用与包括聚合物或无机纳米颗粒在内的功能材料杂交,从而极大地改变相关的生物分布和药代动力学行为,提高其治疗效果。理所当然地,人们已经进行了广泛的研究,以开发基于HSA的药物治疗剂,用于有效的体外和体内疾病诊断与治疗。本综述详细介绍了基于HSA的载体作为功能性蛋白质材料的最新进展,主要涉及其共轭类型、制剂方面,以及重要的是它们在增强药物递送和医学诊断方面的应用前景。

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