Metabolomics Simultaneously Derives Benchmark Dose Estimates and Discovers Metabolic Biotransformations in a Rat Bioassay.
Journal
Chemical research in toxicology
ISSN: 1520-5010
Titre abrégé: Chem Res Toxicol
Pays: United States
ID NLM: 8807448
Informations de publication
Date de publication:
06 Jun 2024
06 Jun 2024
Historique:
medline:
6
6
2024
pubmed:
6
6
2024
entrez:
6
6
2024
Statut:
aheadofprint
Résumé
Benchmark dose (BMD) modeling estimates the dose of a chemical that causes a perturbation from baseline. Transcriptional BMDs have been shown to be relatively consistent with apical end point BMDs, opening the door to using molecular BMDs to derive human health-based guidance values for chemical exposure. Metabolomics measures the responses of small-molecule endogenous metabolites to chemical exposure, complementing transcriptomics by characterizing downstream molecular phenotypes that are more closely associated with apical end points. The aim of this study was to apply BMD modeling to in vivo metabolomics data, to compare metabolic BMDs to both transcriptional and apical end point BMDs. This builds upon our previous application of transcriptomics and BMD modeling to a 5-day rat study of triphenyl phosphate (TPhP), applying metabolomics to the same archived tissues. Specifically, liver from rats exposed to five doses of TPhP was investigated using liquid chromatography-mass spectrometry and
Identifiants
pubmed: 38842447
doi: 10.1021/acs.chemrestox.4c00002
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM