An interoperability framework for multicentric breath metabolomic studies.

Health sciences clinical finding finding by site health information management medical information practitioner

Journal

iScience
ISSN: 2589-0042
Titre abrégé: iScience
Pays: United States
ID NLM: 101724038

Informations de publication

Date de publication:
22 Dec 2022
Historique:
received: 03 04 2022
revised: 10 09 2022
accepted: 09 11 2022
entrez: 8 12 2022
pubmed: 9 12 2022
medline: 9 12 2022
Statut: epublish

Résumé

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.

Identifiants

pubmed: 36479147
doi: 10.1016/j.isci.2022.105557
pii: S2589-0042(22)01829-6
pmc: PMC9720009
doi:

Types de publication

Journal Article

Langues

eng

Pagination

105557

Informations de copyright

© 2022 The Authors.

Déclaration de conflit d'intérêts

P.S. and M.K. are co-founders of Deep Breath Intelligence AG (Switzerland). K.S. and F.S. are consultants for Deep Breath Intelligence AG (Switzerland). P.S., K.S., A.G., M.K., U.F., and M.O. hold a patent on data processing for breath analysis by SESI-HRMS. P.S. and K.S. hold a patent on a system suitability test for SESI-HRMS. All other authors declare no competing interests.

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Auteurs

Amanda Gisler (A)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.

Kapil Dev Singh (KD)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.

Jiafa Zeng (J)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.
Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.

Martin Osswald (M)

University Hospital Zurich USZ, 8091 Zurich, Switzerland.

Mo Awchi (M)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.

Fabienne Decrue (F)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.

Felix Schmidt (F)

University Hospital Zurich USZ, 8091 Zurich, Switzerland.

Noriane A Sievi (NA)

University Hospital Zurich USZ, 8091 Zurich, Switzerland.

Xing Chen (X)

Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.

Jakob Usemann (J)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.

Urs Frey (U)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.

Malcolm Kohler (M)

University Hospital Zurich USZ, 8091 Zurich, Switzerland.

Xue Li (X)

Institute of Mass Spectrometry and Atmospheric Environment, Jinan University, Guangzhou 510632, China.

Pablo Sinues (P)

University Children's Hospital Basel UKBB, University of Basel, 4056 Basel, Switzerland.
Department of Biomedical Engineering, University of Basel, 4123 Allschwil, Switzerland.

Classifications MeSH