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Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis

[Image: see text] Targeted metabolomics has been broadly used for metabolite measurement due to its good quantitative linearity and simple metabolite annotation workflow. However, metabolite interference, the phenomenon where one metabolite generates a peak in another metabolite’s MRM setting (Q1/Q3...

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Autores principales: Jia, Zhikun, Qiu, Qiongju, He, Ruiping, Zhou, Tianyu, Chen, Li
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2023
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209981/
https://www.ncbi.nlm.nih.gov/pubmed/37155916
http://dx.doi.org/10.1021/acs.analchem.3c00804
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author Jia, Zhikun
Qiu, Qiongju
He, Ruiping
Zhou, Tianyu
Chen, Li
author_facet Jia, Zhikun
Qiu, Qiongju
He, Ruiping
Zhou, Tianyu
Chen, Li
author_sort Jia, Zhikun
collection PubMed
description [Image: see text] Targeted metabolomics has been broadly used for metabolite measurement due to its good quantitative linearity and simple metabolite annotation workflow. However, metabolite interference, the phenomenon where one metabolite generates a peak in another metabolite’s MRM setting (Q1/Q3) with a close retention time (RT), may lead to inaccurate metabolite annotation and quantification. Besides isomeric metabolites having the same precursor and product ions that may interfere with each other, we found other metabolite interferences as the result of inadequate mass resolution of triple-quadruple mass spectrometry and in-source fragmentation of metabolite ions. Characterizing the targeted metabolomics data using 334 metabolite standards revealed that about 75% of the metabolites generated measurable signals in at least one other metabolite’s MRM setting. Different chromatography techniques can resolve 65–85% of these interfering signals among standards. Metabolite interference analysis combined with the manual inspection of cell lysate and serum data suggested that about 10% out of ∼180 annotated metabolites were mis-annotated or mis-quantified. These results highlight that a thorough investigation of metabolite interference is necessary for accurate metabolite measurement in targeted metabolomics.
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spelling pubmed-102099812023-05-26 Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis Jia, Zhikun Qiu, Qiongju He, Ruiping Zhou, Tianyu Chen, Li Anal Chem [Image: see text] Targeted metabolomics has been broadly used for metabolite measurement due to its good quantitative linearity and simple metabolite annotation workflow. However, metabolite interference, the phenomenon where one metabolite generates a peak in another metabolite’s MRM setting (Q1/Q3) with a close retention time (RT), may lead to inaccurate metabolite annotation and quantification. Besides isomeric metabolites having the same precursor and product ions that may interfere with each other, we found other metabolite interferences as the result of inadequate mass resolution of triple-quadruple mass spectrometry and in-source fragmentation of metabolite ions. Characterizing the targeted metabolomics data using 334 metabolite standards revealed that about 75% of the metabolites generated measurable signals in at least one other metabolite’s MRM setting. Different chromatography techniques can resolve 65–85% of these interfering signals among standards. Metabolite interference analysis combined with the manual inspection of cell lysate and serum data suggested that about 10% out of ∼180 annotated metabolites were mis-annotated or mis-quantified. These results highlight that a thorough investigation of metabolite interference is necessary for accurate metabolite measurement in targeted metabolomics. American Chemical Society 2023-05-08 /pmc/articles/PMC10209981/ /pubmed/37155916 http://dx.doi.org/10.1021/acs.analchem.3c00804 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by-nc-nd/4.0/Permits non-commercial access and re-use, provided that author attribution and integrity are maintained; but does not permit creation of adaptations or other derivative works (https://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Jia, Zhikun
Qiu, Qiongju
He, Ruiping
Zhou, Tianyu
Chen, Li
Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title_full Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title_fullStr Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title_full_unstemmed Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title_short Identification of Metabolite Interference Is Necessary for Accurate LC-MS Targeted Metabolomics Analysis
title_sort identification of metabolite interference is necessary for accurate lc-ms targeted metabolomics analysis
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10209981/
https://www.ncbi.nlm.nih.gov/pubmed/37155916
http://dx.doi.org/10.1021/acs.analchem.3c00804
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