Pharmacokinetic and biodistribution properties of poly(ethylene glycol)–protein conjugates

聚乙二醇化 体内分布 化学 生物物理学 PEG比率 药代动力学 小分子 糖基化 乙二醇 聚乙二醇 生物化学 药理学 体外 有机化学 生物 经济 财务
作者
Paolo Caliceti
出处
期刊:Advanced Drug Delivery Reviews [Elsevier BV]
卷期号:55 (10): 1261-1277 被引量:921
标识
DOI:10.1016/s0169-409x(03)00108-x
摘要

Peptide and protein PEGylation is usually undertaken to improve the biopharmaceutical properties of these drugs and, to date, several examples of conjugates with long permanence in the body as well as with localization ability in disease sites have been reported. Although a number of studies on the in vivo behavior and fate of conjugates have been performed, forecasting their pharmacokinetics is a difficult task since the pharmacokinetic profile is determined by a number of parameters which include physiological and anatomical aspects of the recipient and physico-chemical properties of the derivative. The most relevant perturbations of the protein molecule following PEG conjugation are: size enlargement, protein surface and glycosylation function masking, charge modification, and epitope shielding. In particular, size enlargement slows down kidney ultrafiltration and promotes the accumulation into permeable tissues by the passive enhanced permeation and retention mechanism. Charge and glycosylation function masking is revealed predominantly in reduced phagocytosis by the RES and liver cells. Protein shielding reduces proteolysis and immune system recognition, which are important routes of elimination. The specific effect of PEGylation on protein physico-chemical and biological properties is strictly determined by protein and polymer properties as well as by the adopted PEGylation strategy. Relevant parameters to be considered in protein-polymer conjugates are: protein structure, molecular weight and composition, polymer molecular weight and shape, number of linked polymer chains and conjugation chemistry. The examples reported in this review show that general considerations could be useful in developing a target product, although significant deviations from the expected results can not be excluded.
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