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系统方法开发分析规模和基于微流的液相色谱与质谱代谢组学方法,以支持药物发现和开发。

A systematic approach to development of analytical scale and microflow-based liquid chromatography coupled to mass spectrometry metabolomics methods to support drug discovery and development.

机构信息

Sanofi, Waltham, MA 02451, United States.

Barnett Institute of Chemical and Biological Analysis, Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, United States.

出版信息

J Chromatogr A. 2021 Apr 12;1642:462047. doi: 10.1016/j.chroma.2021.462047. Epub 2021 Mar 9.

Abstract

As the reliance on metabolic biomarkers within drug discovery and development increases, there is also an increased demand for global metabolomics methods to provide broad metabolome coverage and sensitivity towards differences in metabolite expression and reproducibility. A systematic approach is necessary for the development, and evaluation, of metabolomics methods using either conventional techniques or when establishing new methods that allow for additional gains in sensitivity and a reduction in requirements for amounts of a biological sample, such as those seen with methods based on microseparations. We developed a novel standard mixture and used a systematic approach for the development and optimization of optimal, ion-pair free, liquid chromatography-mass spectrometry (LC-MS) global profiling methods. These methods were scaled-down to microflow-based LC separations and compared with analytical flow ion-pairing reagent containing methods. Average peak volume improvements of 7- and 22-fold were observed in the positive and negative ionization mode microflow methods as compared to the ion-pairing reagent analytical flow methods, respectively. The linear range of the newly developed microflow methods showed up to a 10-fold increase in the lower limit of detection in the negative ionization mode. The developed microflow LC-MS methods were further evaluated using wild-type mouse plasma where up to a 9-fold increase in peak volume was observed.

摘要

随着代谢生物标志物在药物发现和开发中的应用不断增加,人们也越来越需要采用全球代谢组学方法来提供广泛的代谢组覆盖范围,并提高对代谢物表达差异的灵敏度和重现性。无论是采用传统技术还是建立新方法(例如基于微分离的方法可提高灵敏度并减少对生物样本量的要求)来开发和评估代谢组学方法,都需要采用系统的方法。我们开发了一种新型标准混合物,并采用系统的方法来开发和优化最佳的、无离子对的液相色谱-质谱(LC-MS)全谱分析方法。这些方法被缩小到基于微流的 LC 分离,并与含有分析流动相离子对试剂的方法进行了比较。与含离子对试剂的分析流动相方法相比,正离子和负离子模式微流方法的平均峰体积分别提高了 7 倍和 22 倍。新开发的微流方法的线性范围在负离子模式下的检测下限提高了 10 倍。进一步使用野生型小鼠血浆对所开发的微流 LC-MS 方法进行了评估,结果表明,峰体积增加了 9 倍。

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Simultaneous Quantification of Nucleosides and Nucleotides from Biological Samples.从生物样本中同时定量测定核苷和核苷酸。
J Am Soc Mass Spectrom. 2019 Jun;30(6):987-1000. doi: 10.1007/s13361-019-02140-7. Epub 2019 Mar 7.
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Metabolomics toward personalized medicine.代谢组学与个性化医疗
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