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用于药物分布、毒性和组织分类研究的靶向解吸电喷雾电离质谱成像

Targeted Desorption Electrospray Ionization Mass Spectrometry Imaging for Drug Distribution, Toxicity, and Tissue Classification Studies.

作者信息

Dannhorn Andreas, Doria Maria Luisa, McKenzie James, Inglese Paolo, Swales John G, Hamm Gregory, Strittmatter Nicole, Maglennon Gareth, Ghaem-Maghami Sadaf, Goodwin Richard J A, Takats Zoltan

机构信息

Department of Metabolism, Digestion and Reproduction, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.

Imaging and Data Analytics, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca, Cambridge CB4 0WG, UK.

出版信息

Metabolites. 2023 Mar 3;13(3):377. doi: 10.3390/metabo13030377.

Abstract

With increased use of mass spectrometry imaging (MSI) in support of pharmaceutical research and development, there are opportunities to develop analytical pipelines that incorporate exploratory high-performance analysis with higher capacity and faster targeted MSI. Therefore, to enable faster MSI data acquisition we present analyte-targeted desorption electrospray ionization-mass spectrometry imaging (DESI-MSI) utilizing a triple-quadrupole (TQ) mass analyzer. The evaluated platform configuration provided superior sensitivity compared to a conventional time-of-flight (TOF) mass analyzer and thus holds the potential to generate data applicable to pharmaceutical research and development. The platform was successfully operated with sampling rates up to 10 scans/s, comparing positively to the 1 scan/s commonly used on comparable DESI-TOF setups. The higher scan rate enabled investigation of the desorption/ionization processes of endogenous lipid species such as phosphatidylcholines and a co-administered cassette of four orally dosed drugs-erlotininb, moxifloxacin, olanzapine, and terfenadine. This was used to enable understanding of the impact of the desorption/ionization processes in order to optimize the operational parameters, resulting in improved compound coverage for olanzapine and the main olanzapine metabolite, hydroxy-olanzapine, in brain tissue sections compared to DESI-TOF analysis or matrix-assisted laser desorption/ionization (MALDI) platforms. The approach allowed reducing the amount of recorded information, thus reducing the size of datasets from up to 150 GB per experiment down to several hundred MB. The improved performance was demonstrated in case studies investigating the suitability of this approach for mapping drug distribution, spatially resolved profiling of drug-induced nephrotoxicity, and molecular-histological tissue classification of ovarian tumors specimens.

摘要

随着质谱成像(MSI)在药物研发中的应用不断增加,有机会开发将探索性高性能分析与更高通量和更快靶向MSI相结合的分析流程。因此,为了实现更快的MSI数据采集,我们展示了利用三重四极杆(TQ)质量分析器的靶向分析物解吸电喷雾电离质谱成像(DESI-MSI)。与传统的飞行时间(TOF)质量分析器相比,评估的平台配置具有更高的灵敏度,因此有潜力生成适用于药物研发的数据。该平台成功地以高达10次扫描/秒的采样率运行,与可比的DESI-TOF设置通常使用的1次扫描/秒相比表现良好。更高的扫描速率使得能够对内源性脂质物种(如磷脂酰胆碱)以及四种口服给药药物(厄洛替尼、莫西沙星、奥氮平和特非那定)的联合给药盒的解吸/电离过程进行研究。这被用于理解解吸/电离过程的影响,以优化操作参数,与DESI-TOF分析或基质辅助激光解吸/电离(MALDI)平台相比,在脑组织切片中提高了奥氮平和主要奥氮平代谢物羟基奥氮平的化合物覆盖率。该方法允许减少记录的信息量,从而将每个实验的数据集大小从高达150GB减少到几百MB。在研究该方法用于绘制药物分布的适用性、药物诱导肾毒性的空间分辨分析以及卵巢肿瘤标本的分子组织学分类的案例研究中,展示了改进后的性能。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2dce/10060000/34b78ab1a263/metabolites-13-00377-g001.jpg

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