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一种用于 ADC 可裂解payload 鉴定和定量分析的简单且高灵敏度的 LC-MS 工作流程。

A simple and highly sensitive LC-MS workflow for characterization and quantification of ADC cleavable payloads.

机构信息

Bioprocessing Technology Institute (BTI), Agency for Science, Technology and Research (A*STAR), Centros, Singapore, 138668, Singapore.

出版信息

Sci Rep. 2024 May 14;14(1):11018. doi: 10.1038/s41598-024-61522-4.

DOI:10.1038/s41598-024-61522-4
PMID:38744902
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11094190/
Abstract

Antibody-drug conjugates (ADC) payloads are cleavable drugs that act as the warhead to exert an ADC's cytotoxic effects on cancer cells intracellularly. A simple and highly sensitive workflow is developed and validated for the simultaneous quantification of six ADC payloads, namely SN-38, MTX, DXd, MMAE, MMAF and Calicheamicin (CM). The workflow consists of a short and simple sample extraction using a methanol-ethanol mixture, followed by a fast liquid chromatography tandem mass spectrometry (LC-MS/MS) analysis. The results showed that well-validated linear response ranges of 0.4-100 nM for SN38, MTX and DXd, 0.04-100 nM for MMAE and MMAF, 0.4-1000 nM for CM were achieved in mouse serum. Recoveries for all six payloads at three different concentrations (low, medium and high) were more than 85%. An ultra-low sample volume of only 5 µL of serum is required due to the high sensitivity of the method. This validated method was successfully applied to a pharmacokinetic study to quantify MMAE in mouse serum samples.

摘要

抗体药物偶联物 (ADC) 有效载荷是可裂解的药物,作为弹头,在细胞内对癌细胞发挥 ADC 的细胞毒性作用。开发并验证了一种简单而灵敏的工作流程,用于同时定量六种 ADC 有效载荷,即 SN-38、MTX、DXd、MMAE、MMAF 和 Calicheamicin(CM)。该工作流程包括使用甲醇-乙醇混合物进行简短而简单的样品提取,然后进行快速液相色谱串联质谱 (LC-MS/MS) 分析。结果表明,在小鼠血清中,SN38、MTX 和 DXd 的线性响应范围为 0.4-100 nM,MMAE 和 MMAF 的线性响应范围为 0.04-100 nM,CM 的线性响应范围为 0.4-1000 nM,均得到了很好的验证。六种有效载荷在三个不同浓度(低、中、高)下的回收率均超过 85%。由于方法的灵敏度很高,仅需 5 µL 的超低血清量。该经过验证的方法成功应用于一项药代动力学研究,用于定量测定小鼠血清样品中的 MMAE。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/08eb7704ce88/41598_2024_61522_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/09e833b7d098/41598_2024_61522_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/176f229e0048/41598_2024_61522_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/c9a9481af66c/41598_2024_61522_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/08eb7704ce88/41598_2024_61522_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/09e833b7d098/41598_2024_61522_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/176f229e0048/41598_2024_61522_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/c9a9481af66c/41598_2024_61522_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a80b/11094190/08eb7704ce88/41598_2024_61522_Fig4_HTML.jpg

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