The physiological limits of bispecific monoclonal antibody tissue targeting specificity

单克隆抗体 双特异性抗体 抗体 生物 化学 计算生物学 免疫学
作者
Armin Sepp,Felix Stader,Abdallah Derbalah,Cong Liu,Adriana Żyła,Iain Gardner,Masoud Jamei
出处
期刊:mAbs [Landes Bioscience]
卷期号:17 (1) 被引量:3
标识
DOI:10.1080/19420862.2025.2492236
摘要

Bispecific monoclonal antibodies (bsmAbs) are expected to provide targeted drug delivery that overcomes the dose-limiting toxicities often accompanying antibody-drug conjugates (ADC) in clinical practice. Much attention has been paid in the past to target selection, mAb affinities and the payload linker design, but challenges remain. Here, we demonstrate, by physiologically based pharmacokinetic (PBPK) in silico modeling and simulation, that the tissue-targeting accuracy of mono- and bispecific antibody therapeutics is substantially limited by normal physiological characteristics like organ volumes, blood flow rates, lymphatic circulation, and rates of extravasation. Only a small fraction of blood flows through solid tumor, where the diffusion-driven extravasation is relatively slow compared with many other organs. EGFR and HER2 are used as model antigens based on their experimentally measured tissue and tumor expression levels, but the approach is generic and can account for the cellular expression variation of targets. The model confirms experimental observations that only about 0.1-1% of the dosed mAb is likely to reach the tumor, while the rest ends up in healthy tissues due to target-mediated internalization and nonspecific uptake. The model suggests that the dual-positive tumor cell targeting specificity with bispecific antibodies is likely to be higher at lower drug concentrations and doses. However, this can be offset by elevated drug exposure in more accessible healthy tissues, primarily endothelium. The balance of exposure can be shifted toward tumor cells by using higher doses, albeit at the expense of more extensive target engagement elsewhere in the body, suggesting the need to adapt the toxicity of the payload if ADCs are considered. We suggest that PBPK modeling can guide and support biologics and bsmAb development, from target evaluation and drug optimization to therapeutic dose selection.
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
1秒前
labi完成签到 ,获得积分10
1秒前
1秒前
tiptip应助寂寞的听双采纳,获得10
2秒前
英俊的铭应助fifi采纳,获得10
3秒前
外向青文完成签到,获得积分20
3秒前
找找完成签到 ,获得积分10
3秒前
3秒前
CodeCraft应助耶啵耶啵采纳,获得10
3秒前
孟yifan发布了新的文献求助10
4秒前
4秒前
5秒前
skq发布了新的文献求助10
5秒前
superhanlei完成签到 ,获得积分10
7秒前
8秒前
9秒前
10秒前
学术山芋完成签到,获得积分10
10秒前
找找找完成签到 ,获得积分10
11秒前
cc完成签到,获得积分10
11秒前
kyhoy完成签到 ,获得积分20
12秒前
lkylucky发布了新的文献求助10
12秒前
张益龙完成签到,获得积分20
13秒前
13秒前
15秒前
学术山芋发布了新的文献求助10
16秒前
UY完成签到,获得积分10
17秒前
zhenanCheng发布了新的文献求助10
18秒前
医然为你发布了新的文献求助10
20秒前
爱吃食物的女孩完成签到 ,获得积分10
20秒前
典雅的面包完成签到,获得积分10
20秒前
Prof.Z发布了新的文献求助100
20秒前
21秒前
Prof.Z发布了新的文献求助100
21秒前
Prof.Z发布了新的文献求助100
22秒前
所所应助csj采纳,获得30
23秒前
带你去月球完成签到,获得积分10
23秒前
lkylucky完成签到,获得积分10
25秒前
25秒前
SciGPT应助retosure采纳,获得10
26秒前
高分求助中
(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
Applied Min-Max Approach to Missile Guidance and Control 5000
Metallurgy at high pressures and high temperatures 2000
Inorganic Chemistry Eighth Edition 1200
The Organic Chemistry of Biological Pathways Second Edition 1000
The Psychological Quest for Meaning 800
Signals, Systems, and Signal Processing 610
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6327265
求助须知:如何正确求助?哪些是违规求助? 8143826
关于积分的说明 17077176
捐赠科研通 5380942
什么是DOI,文献DOI怎么找? 2854558
邀请新用户注册赠送积分活动 1832179
关于科研通互助平台的介绍 1683377