PEGylation of Proteins and Liposomes: a Powerful and Flexible Strategy to Improve the Drug Delivery

聚乙二醇化 脂质体 药物输送 药品 靶向给药 化学 药理学 纳米技术 医学 生物化学 材料科学 聚乙二醇
作者
Paola Milla,Franco Dosio,Luigi Cattel
出处
期刊:Current Drug Metabolism [Bentham Science Publishers]
卷期号:13 (1): 105-119 被引量:396
标识
DOI:10.2174/138920012798356934
摘要

PEGylation is one of the most successful strategies to improve the delivery of therapeutic molecules such as proteins, macromolecular carriers, small drugs, oligonucleotides, and other biomolecules. PEGylation increase the size and molecular weight of conjugated biomolecules and improves their pharmacokinetics and pharmacodinamics by increasing water solubility, protecting from enzymatic degradation, reducing renal clearance and limiting immunogenic and antigenic reactions. PEGylated molecules show increased half-life, decreased plasma clearance, and different biodistribution, in comparison with non-PEGylated counterparts. These features appear to be very useful for therapeutic proteins, since the high stability and very low immunogenicity of PEGylated proteins result in sustained clinical response with minimal dose and less frequent administration. PEGylation of liposomes improves not only the stability and circulation time, but also the 'passive' targeting ability on tumoral tissues, through a process known as the enhanced permeation retention effect, able to improve the therapeutic effects and reduce the toxicity of encapsulated drug. The molecular weight, shape, reactivity, specificity, and type of bond of PEG moiety are crucial in determining the effect on PEGylated molecules and, at present, researchers have the chance to select among tens of PEG derivatives and PEG conjugation technologies, in order to design the best PEGylation strategy for each particular application. The aim of the present review will be to elucidate the principles of PEGylation chemistry and to describe the already marketed PEGylated proteins and liposomes by focusing our attention to some enlightening examples of how this technology could dramatically influence the clinical application of therapeutic biomolecules.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
Suntx完成签到 ,获得积分10
刚刚
11117777发布了新的文献求助10
1秒前
wrinklehui发布了新的文献求助10
1秒前
852应助liyh采纳,获得10
1秒前
1秒前
2秒前
小马甲应助怡然的一曲采纳,获得10
2秒前
2秒前
Chri_发布了新的文献求助10
2秒前
wujing2678关注了科研通微信公众号
3秒前
123456qi发布了新的文献求助30
3秒前
bubble完成签到,获得积分10
3秒前
4秒前
王者荣耀发布了新的文献求助10
4秒前
小十完成签到,获得积分10
4秒前
Ashley完成签到,获得积分10
4秒前
Lucas应助蜜果羹采纳,获得10
5秒前
5秒前
超帅孱发布了新的文献求助10
5秒前
5秒前
6秒前
包容诗槐发布了新的文献求助10
6秒前
HHHH发布了新的文献求助10
6秒前
隐形曼青应助mmmm采纳,获得10
7秒前
zhaochenyu发布了新的文献求助10
8秒前
小东北发布了新的文献求助10
9秒前
10秒前
向日葵完成签到,获得积分10
10秒前
不搭发布了新的文献求助10
10秒前
马狗完成签到,获得积分10
10秒前
nn11发布了新的文献求助10
12秒前
科研通AI6.2应助111采纳,获得10
12秒前
小怪兽发布了新的文献求助20
13秒前
雨霖铃发布了新的文献求助10
13秒前
13秒前
泛泛之交发布了新的文献求助10
13秒前
草莓冰激凌完成签到,获得积分10
14秒前
打打应助马狗采纳,获得10
15秒前
Hiyajo_Maho发布了新的文献求助10
16秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Matrix Methods in Data Mining and Pattern Recognition 510
Reading and Understanding Health Research 500
Social Skills Improvement System-Rating Scales--Chinese Version 500
Dynamische Polarisation von H-1 und B-11 in (CH-3)-3NBH-3 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7251392
求助须知:如何正确求助?哪些是违规求助? 8873948
关于积分的说明 18730327
捐赠科研通 6931189
什么是DOI,文献DOI怎么找? 3199412
关于科研通互助平台的介绍 2374325
邀请新用户注册赠送积分活动 2174035