Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Fadil, Fadi, Samol, Claudia, Berger, Raffaela S., Kellermeier, Fabian, Gronwald, Wolfram, Oefner, Peter J., Dettmer, Katja
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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
_version_ 1784776010716151808
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
work_keys_str_mv AT fadilfadi isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT samolclaudia isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT bergerraffaelas isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT kellermeierfabian isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT gronwaldwolfram isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT oefnerpeterj isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine
AT dettmerkatja isotoperatiooutlieranalysisiroaforhplctofmsbasedmetabolomicsofhumanurine