Literature DB >> 29958846

Partially 13C-labeled mouse tissue as reference for LC-MS based untargeted metabolomics.

Frederik Dethloff1, Christoph Bueschl2, Hermann Heumann3, Rainer Schuhmacher4, Christoph W Turck5.   

Abstract

The inclusion of stable isotope-labeled reference standards in the sample is an established method for the detection and relative quantification of metabolic features in untargeted metabolomics. In order to quantify as many metabolites as possible, the reference should ideally include the same metabolites in their stable isotope-labeled form as the sample under investigation. We present here an attempt to use partially 13C-labeled mouse material as internal standard for relative metabolite quantification of mouse and human samples in untargeted metabolomics. We fed mice for 14 days with a13C-labeled Ralstonia eutropha based diet. Tissue and blood amino acids from these mice showed 13C enrichment levels that ranged from 6% to 75%. We used MetExtract II software to automatically detect native and labeled peak pairs in an untargeted manner. In a dilution series and with the implementation of a correction factor, partially 13C-labeled mouse plasma resulted in accurate relative quantification of human plasma amino acids using liquid chromatography coupled to mass spectrometry, The coefficient of variation for the relative quantification is reduced from 27% without internal standard to 10% with inclusion of partially 13C-labeled internal standard. We anticipate the method to be of general use for the relative metabolite quantification of human specimens.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  (13)C; Internal standard; Metabolomics; Mouse; Relative quantification; Stable isotope

Mesh:

Substances:

Year:  2018        PMID: 29958846     DOI: 10.1016/j.ab.2018.06.023

Source DB:  PubMed          Journal:  Anal Biochem        ISSN: 0003-2697            Impact factor:   3.365


  3 in total

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Journal:  Nat Commun       Date:  2022-07-14       Impact factor: 17.694

2.  Isotope Ratio Outlier Analysis (IROA) for HPLC-TOFMS-Based Metabolomics of Human Urine.

Authors:  Fadi Fadil; Claudia Samol; Raffaela S Berger; Fabian Kellermeier; Wolfram Gronwald; Peter J Oefner; Katja Dettmer
Journal:  Metabolites       Date:  2022-08-12

3.  Recurrent Topics in Mass Spectrometry-Based Metabolomics and Lipidomics-Standardization, Coverage, and Throughput.

Authors:  Evelyn Rampler; Yasin El Abiead; Harald Schoeny; Mate Rusz; Felina Hildebrand; Veronika Fitz; Gunda Koellensperger
Journal:  Anal Chem       Date:  2020-11-28       Impact factor: 6.986

  3 in total

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