To Örebro University

oru.seÖrebro University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Multiplatform metabolomic interlaboratory study of a whole human stool candidate reference material from omnivore and vegan donors
Chemical Sciences Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
Örebro University, School of Medical Sciences. Turku Bioscience Centre, University of Turku and Åbo Akademi University, Turku, Finland.ORCID iD: 0000-0002-2856-9165
Biosystems and Biomaterials Division, National Institute of Standards and Technology (NIST), Gaithersburg, MD, USA.
Number of Authors: 652024 (English)In: Metabolomics, ISSN 1573-3882, E-ISSN 1573-3890, Vol. 20, no 6, article id 125Article in journal (Refereed) Published
Abstract [en]

INTRODUCTION: Human metabolomics has made significant strides in understanding metabolic changes and their implications for human health, with promising applications in diagnostics and treatment, particularly regarding the gut microbiome. However, progress is hampered by issues with data comparability and reproducibility across studies, limiting the translation of these discoveries into practical applications.

OBJECTIVES: This study aims to evaluate the fit-for-purpose of a suite of human stool samples as potential candidate reference materials (RMs) and assess the state of the field regarding harmonizing gut metabolomics measurements.

METHODS: An interlaboratory study was conducted with 18 participating institutions. The study allowed for the use of preferred analytical techniques, including liquid chromatography-mass spectrometry (LC-MS), gas chromatography-mass spectrometry (GC-MS), and nuclear magnetic resonance (NMR).

RESULTS: Different laboratories used various methods and analytical platforms to identify the metabolites present in human stool RM samples. The study found a 40% to 70% recurrence in the reported top 20 most abundant metabolites across the four materials. In the full annotation list, the percentage of metabolites reported multiple times after nomenclature standardization was 36% (LC-MS), 58% (GC-MS) and 76% (NMR). Out of 9,300 unique metabolites, only 37 were reported across all three measurement techniques.

CONCLUSION: This collaborative exercise emphasized the broad chemical survey possible with multi-technique approaches. Community engagement is essential for the evaluation and characterization of common materials designed to facilitate comparability and ensure data quality underscoring the value of determining current practices, challenges, and progress of a field through interlaboratory studies.

Place, publisher, year, edition, pages
Springer, 2024. Vol. 20, no 6, article id 125
Keywords [en]
Fecal matter, Gut metabolomics, Human stool, Lipidomics, Metabolomics, Multiplatform analysis, Reference materials
National Category
Nutrition and Dietetics Analytical Chemistry
Identifiers
URN: urn:nbn:se:oru:diva-117209DOI: 10.1007/s11306-024-02185-0ISI: 001348450200002PubMedID: 39495321Scopus ID: 2-s2.0-85208473916OAI: oai:DiVA.org:oru-117209DiVA, id: diva2:1910647
Funder
EU, Horizon 2020, 798038Available from: 2024-11-05 Created: 2024-11-05 Last updated: 2025-02-11Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Oresic, Matej

Search in DiVA

By author/editor
Oresic, Matej
By organisation
School of Medical Sciences
In the same journal
Metabolomics
Nutrition and DieteticsAnalytical Chemistry

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 47 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf