dc.contributor.author
Ramirez-Hincapie, Sabina
dc.contributor.author
Birk, Barbara
dc.contributor.author
Ternes, Philipp
dc.contributor.author
Giri, Varun
dc.contributor.author
Zickgraf, Franziska Maria
dc.contributor.author
Haake, Volker
dc.contributor.author
Herold, Michael
dc.contributor.author
Kamp, Hennicke
dc.contributor.author
Driemert, Peter
dc.contributor.author
Landsiedel, Robert
dc.date.accessioned
2023-10-16T08:33:44Z
dc.date.available
2023-10-16T08:33:44Z
dc.identifier.uri
https://refubium.fu-berlin.de/handle/fub188/41130
dc.identifier.uri
http://dx.doi.org/10.17169/refubium-40851
dc.description.abstract
Omics techniques have been increasingly recognized as promising tools for Next Generation Risk Assessment. Targeted metabolomics offer the advantage of providing readily interpretable mechanistic information about perturbed biological pathways. In this study, a high-throughput LC–MS/MS-based broad targeted metabolomics system was applied to study nitrofurantoin metabolic dynamics over time and concentration and to provide a mechanistic-anchored approach for point of departure (PoD) derivation. Upon nitrofurantoin exposure at five concentrations (7.5 µM, 15 µM, 20 µM, 30 µM and 120 µM) and four time points (3, 6, 24 and 48 h), the intracellular metabolome of HepG2 cells was evaluated. In total, 256 uniquely identified metabolites were measured, annotated, and allocated in 13 different metabolite classes. Principal component analysis (PCA) and univariate statistical analysis showed clear metabolome-based time and concentration effects. Mechanistic information evidenced the differential activation of cellular pathways indicative of early adaptive and hepatotoxic response. At low concentrations, effects were seen mainly in the energy and lipid metabolism, in the mid concentration range, the activation of the antioxidant cellular response was evidenced by increased levels of glutathione (GSH) and metabolites from the de novo GSH synthesis pathway. At the highest concentrations, the depletion of GSH, together with alternations reflective of mitochondrial impairments, were indicative of a hepatotoxic response. Finally, a metabolomics-based PoD was derived by multivariate PCA using the whole set of measured metabolites. This approach allows using the entire dataset and derive PoD that can be mechanistically anchored to established key events. Our results show the suitability of high throughput targeted metabolomics to investigate mechanisms of hepatoxicity and derive point of departures that can be linked to existing adverse outcome pathways and contribute to the development of new ones.
en
dc.format.extent
15 Seiten
dc.rights.uri
https://creativecommons.org/licenses/by/4.0/
dc.subject
Metabolomics in vitro
en
dc.subject
High throughput
en
dc.subject
Nitrofurantoin
en
dc.subject
Hepatotoxicity
en
dc.subject
New approach methodologies
en
dc.subject
Next generation risk assessment
en
dc.subject
Point of departure
en
dc.subject.ddc
500 Naturwissenschaften und Mathematik::540 Chemie::540 Chemie und zugeordnete Wissenschaften
dc.title
Application of high throughput in vitro metabolomics for hepatotoxicity mode of action characterization and mechanistic-anchored point of departure derivation: a case study with nitrofurantoin
dc.type
Wissenschaftlicher Artikel
dcterms.bibliographicCitation.doi
10.1007/s00204-023-03572-7
dcterms.bibliographicCitation.journaltitle
Archives of Toxicology
dcterms.bibliographicCitation.number
11
dcterms.bibliographicCitation.pagestart
2903
dcterms.bibliographicCitation.pageend
2917
dcterms.bibliographicCitation.volume
97
dcterms.bibliographicCitation.url
https://doi.org/10.1007/s00204-023-03572-7
refubium.affiliation
Biologie, Chemie, Pharmazie
refubium.affiliation.other
Institut für Pharmazie
refubium.resourceType.isindependentpub
no
dcterms.accessRights.openaire
open access
dcterms.isPartOf.eissn
1432-0738
refubium.resourceType.provider
WoS-Alert