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提出一种用于高分辨率质谱中 C 代谢物示踪剂研究的验证方案。

Proposing a validation scheme for C metabolite tracer studies in high-resolution mass spectrometry.

机构信息

Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Waehringer Str. 38, 1090, Vienna, Austria.

Division of Nephrology, Department of Internal Medicine, University of Michigan, 1000 Wall St., Ann Arbor, MI, 48105, USA.

出版信息

Anal Bioanal Chem. 2019 May;411(14):3103-3113. doi: 10.1007/s00216-019-01773-7. Epub 2019 Apr 10.

Abstract

C metabolite tracer and metabolic flux analyses require upfront experimental planning and validation tools. Here, we present a validation scheme including a comparison of different LC methods that allow for customization of analytical strategies for tracer studies with regard to the targeted metabolites. As the measurement of significant changes in labeling patterns depends on the spectral accuracy, we investigate this aspect comprehensively for high-resolution orbitrap mass spectrometry combined with reversed-phase chromatography, hydrophilic interaction liquid chromatography, or anion-exchange chromatography. Moreover, we propose a quality control protocol based on (1) a metabolite containing selenium to assess the instrument performance and on (2) in vivo synthesized isotopically enriched Pichia pastoris to validate the accuracy of carbon isotopologue distributions (CIDs), in this case considering each isotopologue of a targeted metabolite panel. Finally, validation involved a thorough assessment of procedural blanks and matrix interferences. We compared the analytical figures of merit regarding CID determination for over 40 metabolites between the three methods. Excellent precisions of less than 1% and trueness bias as small as 0.01-1% were found for the majority of compounds, whereas the CID determination of a small fraction was affected by contaminants. For most compounds, changes of labeling pattern as low as 1% could be measured. Graphical abstract.

摘要

C 代谢物示踪剂和代谢通量分析需要预先进行实验规划和验证工具。在这里,我们提出了一个验证方案,包括比较不同的 LC 方法,这些方法允许针对示踪研究的靶向代谢物定制分析策略。由于标记模式的显著变化的测量取决于光谱准确性,因此我们全面研究了与反相色谱、亲水相互作用液相色谱或阴离子交换色谱相结合的高分辨率轨道阱质谱的这一方面。此外,我们基于(1)含有硒的代谢物提出了一个质量控制方案,以评估仪器性能,以及(2)体内合成的同位素富集毕赤酵母,以验证碳同位素分布(CIDs)的准确性,在这种情况下,考虑到靶向代谢物组的每个同位素。最后,验证涉及对程序空白和基质干扰的彻底评估。我们比较了三种方法在 40 多种代谢物的 CID 测定方面的分析性能。对于大多数化合物,CID 测定的精度都非常好,低于 1%,真实偏差小至 0.01-1%,而一小部分化合物的 CID 测定受到污染物的影响。对于大多数化合物,可以测量低至 1%的标记模式变化。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/74ca/6526147/d38d2f92b66e/216_2019_1773_Figa_HTML.jpg

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