Evidence map›Paper›PMID 37665362›Full record

ArticleArchives of toxicology2023

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.

Sabina Ramirez-Hincapie, Barbara Birk, Philipp Ternes, Varun Giri, Franziska Maria Zickgraf, Volker Haake, Michael Herold, Hennicke Kamp, Peter Driemert, Robert Landsiedel and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Archives of toxicology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 5 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors at 3 institutions in 1 country.

Sabina Ramirez-HincapieBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany. sabina.ramirez-hincapie@basf.com.ORCID http://orcid.org/0000-0002-8795-7061
Barbara BirkBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.ORCID http://orcid.org/0000-0002-1208-8527
Philipp TernesBASF Metabolome Solution GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0003-0886-5474
Varun GiriBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.
Franziska Maria ZickgrafBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.ORCID http://orcid.org/0000-0003-4269-1316
Volker HaakeBASF Metabolome Solution GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0001-7124-6727
Michael HeroldBASF Metabolome Solution GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0001-7733-0196
Hennicke KampBASF Metabolome Solution GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0002-1316-8756
Peter DriemertBASF Metabolome Solution GmbH, Berlin, Germany.ORCID http://orcid.org/0000-0001-5650-5380
Robert LandsiedelBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.ORCID http://orcid.org/0000-0003-3756-1904
Elke RichlingFood Chemistry and Toxicology, Department of Chemistry, RPTU Kaiserslautern-Landau, Kaiserslautern, Germany.ORCID http://orcid.org/0000-0001-5746-8032
Dorothee Funk-WeyerBASF SE, Experimental Toxicology and Ecology, Ludwigshafen, Germany.
Bennard van RavenzwaayEnvironmental Sciences Consulting, Altrip, Germany.ORCID http://orcid.org/0000-0002-4264-9217
BASF (Germany) · DEBiobyte Solutions (Germany) · DEUniversity of Koblenz and Landau · DE

Funding

Bundesministerium für Bildung und Forschung 161L0243AHorizon 2020 Framework Programme 681002
6 · The paper itself

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.

Indexed as

Chemical and Drug Induced Liver InjuryNitrofurantoinChromatography, LiquidGlutathioneHumansMetabolomicsTandem Mass SpectrometryGlutathioneNitrofurantoinHepatotoxicityHigh throughputMetabolomics in vitroNew approach methodologiesNext generation risk assessmentNitrofurantoinPoint of departure

Identifiers

PMID37665362
PMCPMC10504224
OpenAlexW4386408107

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.