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

Autor: Fadil F; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Samol C; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Berger RS; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Kellermeier F; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Gronwald W; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Oefner PJ; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany., Dettmer K; Institute of Functional Genomics, University of Regensburg, 93053 Regensburg, Germany.
Jazyk: angličtina
Zdroj: Metabolites [Metabolites] 2022 Aug 12; Vol. 12 (8). Date of Electronic Publication: 2022 Aug 12.
DOI: 10.3390/metabo12080741
Abstrakt: Metabolic fingerprinting by mass spectrometry aims at the comprehensive, semiquantitative analysis of metabolites. Isotope dilution, if successfully implemented, may provide a more reliable, relative quantification. Therefore, the 13 C labeled yeast extract of the IROA TruQuant kit was added as an internal standard (IS) to human urine samples measured in full-scan mode on a high-performance liquid chromatography-time-of-flight mass spectrometer (HPLC-TOFMS) system. The isotope ratio approach enabled the analysis of 112 metabolites. The correlation with reference data did not improve significantly using 12 C/ 13 C ratios compared to absolute 12 C peak areas. Moreover, using an intricate 13 C-labeled standard increased the complexity of the mass spectra, which made correct signal annotation more challenging. On the positive side, the ratio approach helps to reduce batch effects, but it does not perform better than computational methods such as the "removebatcheffect" function in the R package Limma.
Databáze: MEDLINE