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Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine
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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414531/ https://www.ncbi.nlm.nih.gov/pubmed/36005614 http://dx.doi.org/10.3390/metabo12080741 |
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author | Fadil, Fadi Samol, Claudia Berger, Raffaela S. Kellermeier, Fabian Gronwald, Wolfram Oefner, Peter J. Dettmer, Katja |
author_facet | Fadil, Fadi Samol, Claudia Berger, Raffaela S. Kellermeier, Fabian Gronwald, Wolfram Oefner, Peter J. Dettmer, Katja |
author_sort | Fadil, Fadi |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9414531 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94145312022-08-27 Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine Fadil, Fadi Samol, Claudia Berger, Raffaela S. Kellermeier, Fabian Gronwald, Wolfram Oefner, Peter J. Dettmer, Katja Metabolites Article 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. MDPI 2022-08-12 /pmc/articles/PMC9414531/ /pubmed/36005614 http://dx.doi.org/10.3390/metabo12080741 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Fadil, Fadi Samol, Claudia Berger, Raffaela S. Kellermeier, Fabian Gronwald, Wolfram Oefner, Peter J. Dettmer, Katja Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title | Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title_full | Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title_fullStr | Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title_full_unstemmed | Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title_short | Isotope Ratio Outlier Analysis (IROA) for HPLC–TOFMS-Based Metabolomics of Human Urine |
title_sort | isotope ratio outlier analysis (iroa) for hplc–tofms-based metabolomics of human urine |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9414531/ https://www.ncbi.nlm.nih.gov/pubmed/36005614 http://dx.doi.org/10.3390/metabo12080741 |
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