A minimal physiologically based pharmacokinetic model that predicts anti-PEG IgG-mediated clearance of PEGylated drugs in human and mouse

化学 聚乙二醇化 体内 药品 药效学 前药 药物输送 生物利用度 色谱法 体外
作者
Morgan D. McSweeney,Timothy Wessler,Lauren S.L. Price,Elizabeth C. Ciociola,Leah B. Herity,Joseph A. Piscitelli,William C. Zamboni,M.G. Forest,Yanguang Cao,Samuel K. Lai
出处
期刊:Journal of Controlled Release [Elsevier]
卷期号:284: 171-178 被引量:18
标识
DOI:10.1016/j.jconrel.2018.06.002
摘要

Circulating antibodies that specifically bind polyethylene glycol (PEG), a polymer routinely used in protein and nanoparticle therapeutics, have been associated with reduced efficacy and increased adverse reactions to some PEGylated therapeutics. In addition to acute induction of anti-PEG antibodies (APA) by PEGylated drugs, typically low but detectable levels of APA are also found in up to 70% of the general population. Despite the broad implications of APA, the dynamics of APA-mediated clearance of PEGylated drugs, and why many patients continue to respond to PEGylated drugs despite the presence of pre-existing APA, remains not well understood. Here, we developed a minimal physiologically based pharmacokinetic (mPBPK) model that incorporates various properties of APA and PEGylated drugs. Our mPBPK model reproduced clinical PK data of APA-mediated accelerated blood clearance of pegloticase, as well as APA-dependent elimination of PEGyated liposomes in mice. Our model predicts that the prolonged circulation of PEGylated drugs will be compromised only at APA concentrations greater than ~500 ng/mL, providing a quantitative explanation to why the effects of APA on PEGylated treatments appear to be limited in most patients. This mPBPK model is readily adaptable to other PEGylated drugs and particles to predict the precise levels of APA that could render them ineffective, providing a powerful tool to support the development and interpretation of preclinical and clinical studies of various PEGylated therapeutics.
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
rainsy发布了新的文献求助10
刚刚
ll完成签到,获得积分10
刚刚
M1aMaey完成签到 ,获得积分10
刚刚
1秒前
毛豆应助千堆雪采纳,获得10
1秒前
2秒前
YY完成签到,获得积分10
2秒前
晓晓发布了新的文献求助10
2秒前
科研通AI5应助灵巧大地采纳,获得10
4秒前
王开晙发布了新的文献求助10
4秒前
4秒前
bkagyin应助kdxswy采纳,获得10
4秒前
享文完成签到,获得积分10
4秒前
顽主完成签到,获得积分10
5秒前
tiga发布了新的文献求助10
6秒前
青青子衿发布了新的文献求助10
7秒前
7秒前
8秒前
8秒前
rainsy完成签到,获得积分10
8秒前
pzh发布了新的文献求助10
9秒前
希望天下0贩的0应助零時采纳,获得10
9秒前
整齐海秋完成签到,获得积分10
11秒前
11秒前
zorn完成签到,获得积分10
11秒前
SciGPT应助滕皓轩采纳,获得10
12秒前
Orange应助阳光以筠采纳,获得10
12秒前
虚心雁菱发布了新的文献求助10
12秒前
13秒前
求学发布了新的文献求助10
13秒前
13秒前
锵崽锵崽发布了新的文献求助10
14秒前
14秒前
科研通AI2S应助阳佟半仙采纳,获得10
14秒前
id完成签到,获得积分10
14秒前
Yanan驳回了英姑应助
14秒前
16秒前
shi hui应助Hin66采纳,获得10
16秒前
FashionBoy应助HM采纳,获得10
17秒前
17秒前
高分求助中
【此为提示信息,请勿应助】请按要求发布求助,避免被关 20000
Population Genetics 2nd 3000
Production Logging: Theoretical and Interpretive Elements 2700
全球与中国多芯光纤扇入扇出器件市场运营模式及前景预测研究报告2025-2031年 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Theory of Block Polymer Self-Assembly 750
Neuromuscular and Electrodiagnostic Medicine Board Review 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3499715
求助须知:如何正确求助?哪些是违规求助? 3083594
关于积分的说明 9176667
捐赠科研通 2777032
什么是DOI,文献DOI怎么找? 1523873
邀请新用户注册赠送积分活动 706784
科研通“疑难数据库(出版商)”最低求助积分说明 703727