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An interoperability framework for multicentric breath metabolomic studies

Exhaled breath contains valuable information at the molecular level and offers promising potential for precision medicine. However, few breath tests transition to routine clinical practice, partly because of the missing validation in multicenter trials. Therefore, we developed and applied an interop...

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Autores principales: Gisler, Amanda, Singh, Kapil Dev, Zeng, Jiafa, Osswald, Martin, Awchi, Mo, Decrue, Fabienne, Schmidt, Felix, Sievi, Noriane A., Chen, Xing, Usemann, Jakob, Frey, Urs, Kohler, Malcolm, Li, Xue, Sinues, Pablo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720009/
https://www.ncbi.nlm.nih.gov/pubmed/36479147
http://dx.doi.org/10.1016/j.isci.2022.105557
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author Gisler, Amanda
Singh, Kapil Dev
Zeng, Jiafa
Osswald, Martin
Awchi, Mo
Decrue, Fabienne
Schmidt, Felix
Sievi, Noriane A.
Chen, Xing
Usemann, Jakob
Frey, Urs
Kohler, Malcolm
Li, Xue
Sinues, Pablo
author_facet Gisler, Amanda
Singh, Kapil Dev
Zeng, Jiafa
Osswald, Martin
Awchi, Mo
Decrue, Fabienne
Schmidt, Felix
Sievi, Noriane A.
Chen, Xing
Usemann, Jakob
Frey, Urs
Kohler, Malcolm
Li, Xue
Sinues, Pablo
author_sort Gisler, Amanda
collection PubMed
description Exhaled breath contains valuable information at the molecular level and offers promising potential for precision medicine. However, few breath tests transition to routine clinical practice, partly because of the missing validation in multicenter trials. Therefore, we developed and applied an interoperability framework for standardized multicenter data acquisition and processing for breath analysis with secondary electrospray ionization-high resolution mass spectrometry. We aimed to determine the technical variability and metabolic coverage. Comparison of multicenter data revealed a technical variability of ∼20% and a core signature of the human exhaled metabolome consisting of ∼850 features, corresponding mainly to amino acid, xenobiotic, and carbohydrate metabolic pathways. In addition, we found high inter-subject variability for certain metabolic classes (e.g., amino acids and fatty acids), whereas other regions such as the TCA cycle were relatively stable across subjects. The interoperability framework and overview of metabolic coverage presented here will pave the way for future large-scale multicenter trials.
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spelling pubmed-97200092022-12-06 An interoperability framework for multicentric breath metabolomic studies Gisler, Amanda Singh, Kapil Dev Zeng, Jiafa Osswald, Martin Awchi, Mo Decrue, Fabienne Schmidt, Felix Sievi, Noriane A. Chen, Xing Usemann, Jakob Frey, Urs Kohler, Malcolm Li, Xue Sinues, Pablo iScience Article Exhaled breath contains valuable information at the molecular level and offers promising potential for precision medicine. However, few breath tests transition to routine clinical practice, partly because of the missing validation in multicenter trials. Therefore, we developed and applied an interoperability framework for standardized multicenter data acquisition and processing for breath analysis with secondary electrospray ionization-high resolution mass spectrometry. We aimed to determine the technical variability and metabolic coverage. Comparison of multicenter data revealed a technical variability of ∼20% and a core signature of the human exhaled metabolome consisting of ∼850 features, corresponding mainly to amino acid, xenobiotic, and carbohydrate metabolic pathways. In addition, we found high inter-subject variability for certain metabolic classes (e.g., amino acids and fatty acids), whereas other regions such as the TCA cycle were relatively stable across subjects. The interoperability framework and overview of metabolic coverage presented here will pave the way for future large-scale multicenter trials. Elsevier 2022-11-15 /pmc/articles/PMC9720009/ /pubmed/36479147 http://dx.doi.org/10.1016/j.isci.2022.105557 Text en © 2022 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Article
Gisler, Amanda
Singh, Kapil Dev
Zeng, Jiafa
Osswald, Martin
Awchi, Mo
Decrue, Fabienne
Schmidt, Felix
Sievi, Noriane A.
Chen, Xing
Usemann, Jakob
Frey, Urs
Kohler, Malcolm
Li, Xue
Sinues, Pablo
An interoperability framework for multicentric breath metabolomic studies
title An interoperability framework for multicentric breath metabolomic studies
title_full An interoperability framework for multicentric breath metabolomic studies
title_fullStr An interoperability framework for multicentric breath metabolomic studies
title_full_unstemmed An interoperability framework for multicentric breath metabolomic studies
title_short An interoperability framework for multicentric breath metabolomic studies
title_sort interoperability framework for multicentric breath metabolomic studies
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9720009/
https://www.ncbi.nlm.nih.gov/pubmed/36479147
http://dx.doi.org/10.1016/j.isci.2022.105557
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