Sensitive mass spectrometric analysis of carbonyl metabolites in human urine and fecal samples using chemoselective modification.


Journal

The Analyst
ISSN: 1364-5528
Titre abrégé: Analyst
Pays: England
ID NLM: 0372652

Informations de publication

Date de publication:
07 Jun 2020
Historique:
pubmed: 13 5 2020
medline: 2 3 2021
entrez: 13 5 2020
Statut: ppublish

Résumé

Metabolites with ketone or aldehyde functionalities comprise a large proportion of the human metabolome, most notably in the form of sugars. However, these reactive molecules are also generated through oxidative stress or gut microbiota metabolism and have been linked to disease development. The discovery and structural validation of this class of metabolites over the large concentration range found in human samples is crucial to identify their links to pathogenesis. Herein, we have utilized an advanced chemoselective probe methodology alongside bioinformatic analysis to identify carbonyl-metabolites in urine and fecal samples. In total, 99 metabolites were identified in urine samples and the chemical structure for 40 metabolites were unambiguously validated using a co-injection procedure. We also describe the preparation of a metabolite-conjugate library of 94 compounds utilized to efficiently validate these ketones and aldehydes. This method was used to validate 33 metabolites in a pooled fecal sample extract to demonstrate the potential for rapid and efficient metabolite detection over a wide metabolite concentration range. This analysis revealed the presence of six metabolites that have not previously been detected in either sample type. The constructed library can be utilized for straightforward, large-scale, and expeditious analysis of carbonyls in any sample type.

Identifiants

pubmed: 32393929
doi: 10.1039/d0an00150c
doi:

Substances chimiques

Aldehydes 0
Ketones 0
Small Molecule Libraries 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3822-3831

Auteurs

Weifeng Lin (W)

Department of Medicinal Chemistry, Science for Life Laboratory, Uppsala University, Box 574, SE-75123 Uppsala, Sweden. Daniel.globisch@scilifelab.uu.se.

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Classifications MeSH