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使用离子淌度增强型数据非依赖性采集策略和自动化数据处理进行代谢物鉴定。

Metabolite identification using an ion mobility enhanced data-independent acquisition strategy and automated data processing.

机构信息

Lead Molecular Design, S.L., Sant Cugat Del Valles, Spain.

Universitat Pompeu Fabra, Pl. de la Merce, 10-12, Barcelona, Spain.

出版信息

Rapid Commun Mass Spectrom. 2020 Jun 30;34(12):e8792. doi: 10.1002/rcm.8792.

Abstract

RATIONALE

Liquid chromatography/mass spectrometry is an essential tool for efficient and reliable quantitative and qualitative analysis and underpins much of contemporary drug metabolism and pharmacokinetics. Data-independent acquisition methods such as MS have reduced the potential to miss metabolites, but do not formally generate quadrupole-resolved product ion spectra. The addition of ion mobility separation to these approaches, for example, in High-Definition MS (HDMS ) has the potential to reduce the time needed to set up an experiment and maximize the chance that all metabolites present can be resolved and characterized. We compared High-Definition Data-Dependent Acquisition (HD-DDA), MS and HDMS approaches using automated software processing with Mass-MetaSite and WebMetabase.

METHODS

Metabolite identification was performed on incubations of glucagon-like peptide-1 (7-37) (GLP-1) and verapamil hydrochloride. The HD-DDA, MS and HDMS experiments were conducted on a Waters ACQUITY UPLC I-Class LC system with a VION IMS quadrupole time-of-flight (QTOF) mass spectrometer operating under UNIFI control. All acquired data were processed using MassMetaSite able to read data from UNIFI 1.9.4. WebMetabase was used to review the detected chromatographic peaks and the spectral data interpretations.

RESULTS

A comparison of outcomes obtained for MS and HDMS data demonstrated that the same structures were proposed for metabolites of both verapamil and GLP-1. The ratio of structurally matched to mismatched product ions found by MassMetaSite was slightly greater for HDMS than for MS , and HD-DDA, thus improving confidence in the structures proposed through the addition of ion mobility based data acquisitions CONCLUSIONS: HDMS data acquisition is an effective approach for the elucidation of metabolite structures for both small molecules and peptides, with excellent accuracy and quality, requiring minimal tailoring for the compound under investigation.

摘要

原理

液相色谱/质谱联用是一种高效可靠的定量和定性分析工具,是当代药物代谢和药代动力学的基础。例如,MS 等数据非依赖性采集方法减少了错过代谢物的可能性,但不能正式生成四极杆分辨的产物离子谱。例如,在高清晰度 MS (HDMS) 中,将离子淌度分离添加到这些方法中,有可能减少设置实验所需的时间,并最大限度地提高存在的所有代谢物都可以被解析和表征的机会。我们使用自动化软件处理比较了 High-Definition Data-Dependent Acquisition (HD-DDA)、MS 和 HDMS 方法,并使用 Mass-MetaSite 和 WebMetabase。

方法

使用自动软件处理对胰高血糖素样肽-1 (7-37) (GLP-1) 和盐酸维拉帕米的孵育物进行代谢物鉴定。HD-DDA、MS 和 HDMS 实验在 Waters ACQUITY UPLC I-Class LC 系统上进行,该系统配备了 VION IMS 四极杆飞行时间 (QTOF) 质谱仪,在 UNIFI 控制下运行。使用 MassMetaSite 处理所有采集的数据,该软件能够读取 UNIFI 1.9.4 的数据。使用 WebMetabase 查看检测到的色谱峰和光谱数据解释。

结果

比较 MS 和 HDMS 数据的结果表明,盐酸维拉帕米和 GLP-1 的代谢物提出了相同的结构。通过 MassMetaSite 发现的结构匹配产物离子与不匹配产物离子的比例,HDMS 略高于 MS 和 HD-DDA,从而通过添加基于离子淌度的数据采集提高了对提出结构的信心。

结论

HDMS 数据采集是一种有效的方法,可用于阐明小分子和肽的代谢物结构,具有出色的准确性和质量,几乎不需要针对研究中的化合物进行定制。

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