Detection of antibody-conjugate payload in cynomolgus monkey serum by a high throughput capture LC–MS/MS bioanalysis method

生物分析 化学 有效载荷(计算) 结合 抗体-药物偶联物 色谱法 药代动力学 药品 串联质谱法 液相色谱-质谱法 质谱法 抗体 单克隆抗体 药理学 计算机科学 医学 计算机网络 数学分析 数学 网络数据包 免疫学 生物
作者
Shujuan Wang,Fengzhu Wang,Ling Wang,Zhihao Liu,Meiling Liu,Shenjun Li,Ying Wang,Xiaohan Sun,Jing Jiang
出处
期刊:Journal of Pharmaceutical and Biomedical Analysis [Elsevier]
卷期号:227: 115069-115069 被引量:6
标识
DOI:10.1016/j.jpba.2022.115069
摘要

Antibody-drug conjugate (ADC) plays a vital role in oncology indications. The efficacy and toxicity of ADC generally depend on the concentration of the drugs in the body system, and physiologically-based pharmacokinetic (P.K.) is a quantitative tool to understand the drug concentration in the body. To characterize the whole drug carefully, sophisticated bioanalysis was required. ADC bioanalysis generally needs multiple analysis strategies, which can accurately quantify total antibody (TAb), antibody-drug conjugate (ADC), antibody-conjugate payload (ac-payload), and free-payload. In this work, we mainly described and validated a high throughput capture Liquid Chromatography tandem-Mass Spectrometry (LC-MS/MS) bioanalysis method to detect the concentrations of ac-payload (such as MMAE) in cynomolgus monkey serum. This method was allowed to determinate the Drug to Antibody Ratio (DAR), obtained by n of ac-payload/ n of TAb. In addition, the technique could significantly improve the throughput of the pre-coated antibody on a 96-well plate. Besides, this method had no interference or carryover in endogenous substances and showed linearity (R2 ≥ 0.99) in the concentration range within 15.6–2000.0 ng/mL. The inter-run accuracy ranged from 75.8 % to 120.0 %, and precision was within ≤ 20.0 %. Meanwhile, selectivity and the benchtop stability of the method were also validated. This optimization method was successfully applied to the change of average DAR in P.K. study.
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
Ava应助两张采纳,获得10
1秒前
稳重中心发布了新的文献求助10
1秒前
2秒前
七月份的风完成签到 ,获得积分10
2秒前
3秒前
无花果应助wfaesd采纳,获得10
3秒前
小米完成签到,获得积分10
3秒前
美少叔叔发布了新的文献求助10
3秒前
3秒前
sai发布了新的文献求助10
4秒前
大江发布了新的文献求助10
4秒前
Hello应助晶莹黎采纳,获得10
4秒前
yuuuu发布了新的文献求助10
5秒前
木雨亦潇潇完成签到,获得积分10
5秒前
戏言121发布了新的文献求助10
6秒前
善学以致用应助勿明采纳,获得10
6秒前
Hello应助勿明采纳,获得10
6秒前
情怀应助勿明采纳,获得10
6秒前
CipherSage应助勿明采纳,获得10
6秒前
6秒前
完美世界应助勿明采纳,获得10
6秒前
西西完成签到 ,获得积分10
6秒前
Linly完成签到,获得积分10
6秒前
LKSkywalker发布了新的文献求助10
7秒前
我是老大应助2024采纳,获得10
7秒前
7秒前
errui完成签到,获得积分10
7秒前
努力成为爱发论文的大佬完成签到,获得积分20
8秒前
8秒前
8秒前
淡定天磊完成签到,获得积分20
9秒前
9秒前
smottom应助李桢采纳,获得10
9秒前
菜菜应助小米采纳,获得10
9秒前
惜梦睡风发布了新的文献求助30
10秒前
balko完成签到,获得积分10
10秒前
10秒前
Akim应助ww采纳,获得10
11秒前
12秒前
12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
Kinesiophobia : a new view of chronic pain behavior 2000
Psychology and Work Today 1000
Research for Social Workers 1000
Mastering New Drug Applications: A Step-by-Step Guide (Mastering the FDA Approval Process Book 1) 800
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5903543
求助须知:如何正确求助?哪些是违规求助? 6767518
关于积分的说明 15756449
捐赠科研通 5027317
什么是DOI,文献DOI怎么找? 2707043
邀请新用户注册赠送积分活动 1655401
关于科研通互助平台的介绍 1601421