Unraveling biomarkers of exposure for tenuazonic acid through urinary metabolomics.
Machine learning
Metabolomics
Mycotoxin
Risk assessment
Tenuazonic acid
Toxicokinetic
Journal
Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association
ISSN: 1873-6351
Titre abrégé: Food Chem Toxicol
Pays: England
ID NLM: 8207483
Informations de publication
Date de publication:
Dec 2023
Dec 2023
Historique:
received:
29
07
2023
revised:
31
10
2023
accepted:
03
11
2023
pubmed:
12
11
2023
medline:
12
11
2023
entrez:
11
11
2023
Statut:
ppublish
Résumé
Mycotoxins are secondary metabolites produced by fungi such as Aspergillus, Alternaria, and Penicillium, affecting nearly 80% of global food crops. Tenuazonic acid (TeA) is the major mycotoxin produced by Alternaria alternata, a prevalent pathogen affecting plants, fruits, and vegetables. TeA is notably prevalent in European diets, however, TeA biomarkers of exposure and metabolites remain unknown. This research aims to bridge this knowledge-gap by gaining insights about human TeA exposure and metabolization. Nine subjects were divided into two groups. The first group received a single bolus of TeA at the Threshold of Toxicological Concern (TTC) to investigate the presence of TeA urinary biomarkers, while the second group served as a control. Sixty-nine urinary samples were prepared and analyzed using UPLC-Xevo TQ-XS for TeA quantification and UPLC-Orbitrap Exploris for polar metabolome acquisition. TeA was rapidly excreted during the first 13 h and the fraction extracted was 0.39 ± 0.22. The polar metabolome compounds effectively discriminating the two groups were filtered using Orthogonal Partial Least Squares-Discriminant Analysis and subsequently annotated (n = 122) at confidence level 4. Finally, the urinary metabolome was compared to in silico predicted TeA metabolites. Nine metabolites, including oxidized, N-alkylated, desaturated, glucuronidated, and sulfonated forms of TeA were detected.
Identifiants
pubmed: 37951345
pii: S0278-6915(23)00585-9
doi: 10.1016/j.fct.2023.114183
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
114183Informations de copyright
Copyright © 2023 The Authors. Published by Elsevier Ltd.. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.