Radioisotope-ADME studies of Trastuzumab-monomethyl auristatin F in tumor bearing mice and healthy marmosets

体内分布 广告 药理学 药代动力学 化学 分布(数学) 曲妥珠单抗 医学 核医学 癌症研究 病理 癌症 内科学 乳腺癌 生物化学 体外 数学分析 数学
作者
Hye Won Lee,Yun Ha Jeong,Jin Ah Hwang,Jae Jun Lee,A. Ryzhkov Yu.,Jung Ae Kang,Muhammad Asim Raza,Sang Hyun Park,Yun‐Hee Park,D KIM
出处
期刊:Journal of biomedical and translational research [Research Institute of Veterinary Medicine]
卷期号:21 (2): 79-90 被引量:3
标识
DOI:10.12729/jbtr.2020.21.2.079
摘要

Radioisotope ADME (RI-ADME) studies are enabling visualization of the biodistribution in molecular imaging. We applied RI-ADME to investigate the tumor targeting capacity and biodistribution of trastuzumab-monomethyl auristatin F (LCB14-0110) in JIMT-1 xenograft mice and healthy marmoset. The LCB14-0110 was labelled with 125I. 125I-LCB14-0110 was intravenously administered to the animals. The gamma-count and single-photon emission computed tomography/computed tomography (SPECT/CT) was conducted for biodistributioon and bioimaging of the biopharmaceutics. Tumor uptake in xenograft mice was highest at three-day after 125I-LCB14-0110 administration in both the biodistribution and SPECT/CT bioimaging. Alternatively, blood and organ tissues showed gradual decrease in radioactivity over time. In marmosets, radioactivity in all organ tissues rapidly reduced and no specific targeting of organs was observed in the biodistribution study and SPECT/CT imaging. Hence, 125I-LCB14-0110 demonstrated effective tumor targeting capacity and accumulated in JIMT-1 cell-bearing mice. However, accumulation did not occur in the organs of xenograft mice. Additionally, marmosets showed rapidly decrease in radioactivity throughout the entire body without accumulation in the normal organs. We also confirmed that the drug distribution was similar in normal organs between the two experimental animal species except spleen. Therefore, 125I is expected to be a useful tool in the study of RI-ADME in biopharmaceuticals through minimal antibody modification.
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
研友_892kOL发布了新的文献求助200
1秒前
云海绵绵完成签到,获得积分10
1秒前
烟花应助小雅采纳,获得10
2秒前
虾米完成签到 ,获得积分10
2秒前
wei完成签到,获得积分10
2秒前
明明完成签到,获得积分10
2秒前
李健应助cg采纳,获得10
3秒前
最棒哒发布了新的文献求助10
3秒前
爱岗敬业牛马人完成签到,获得积分10
4秒前
YU完成签到,获得积分10
4秒前
潭潭完成签到,获得积分10
5秒前
小智0921完成签到,获得积分10
5秒前
zqh发布了新的文献求助10
5秒前
yana完成签到,获得积分10
6秒前
唐春明完成签到,获得积分10
6秒前
李爱国应助dlm采纳,获得10
6秒前
和谐的火龙果完成签到,获得积分10
7秒前
7秒前
柚子星完成签到,获得积分10
8秒前
Yiyyan完成签到,获得积分10
8秒前
8秒前
afterall完成签到 ,获得积分10
9秒前
9秒前
77完成签到,获得积分10
9秒前
Yuan完成签到,获得积分10
9秒前
畅快的胡萝卜完成签到,获得积分10
9秒前
Zoe完成签到,获得积分10
10秒前
852应助紧张的寒梦采纳,获得10
10秒前
活泼莫英完成签到,获得积分10
10秒前
交院发布了新的文献求助10
10秒前
珍惜完成签到,获得积分10
10秒前
kolya2013发布了新的文献求助10
11秒前
个性问寒完成签到,获得积分10
11秒前
栗子的小母牛完成签到,获得积分10
11秒前
sunset5min完成签到,获得积分10
11秒前
llllll完成签到,获得积分10
12秒前
王m完成签到 ,获得积分10
12秒前
12秒前
wanci应助张成采纳,获得10
12秒前
高分求助中
Thinking Small and Large 500
Algorithmic Mathematics in Machine Learning 500
Getting Published in SSCI Journals: 200+ Questions and Answers for Absolute Beginners 300
Deciphering Earth's History: the Practice of Stratigraphy 200
New Syntheses with Carbon Monoxide 200
Faber on mechanics of patent claim drafting 200
Quanterion Automated Databook NPRD-2023 200
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 物理 生物化学 纳米技术 计算机科学 化学工程 内科学 复合材料 物理化学 电极 遗传学 量子力学 基因 冶金 催化作用
热门帖子
关注 科研通微信公众号,转发送积分 3834218
求助须知:如何正确求助?哪些是违规求助? 3376802
关于积分的说明 10495184
捐赠科研通 3096251
什么是DOI,文献DOI怎么找? 1704868
邀请新用户注册赠送积分活动 820288
科研通“疑难数据库(出版商)”最低求助积分说明 771926