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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...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2022
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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. |
format | Online Article Text |
id | pubmed-9720009 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
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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