Evidence map›Paper›PMID 36683062›Full record

ArticleArchives of toxicology2023

Derivation of metabolic point of departure using high-throughput in vitro metabolomics: investigating the importance of sampling time points on benchmark concentration values in the HepaRG cell line.

Julia M Malinowska, Taina Palosaari, Jukka Sund, Donatella Carpi, Ralf J M Weber, Gavin R Lloyd, Maurice Whelan, Mark R Viant

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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Investigating the dependency of in vitro benchmark concentrations on exposure time in transcriptomics experiments.Toxicology in vitro : an international journal published in association with BIBRA · 2024
    Article
  4. Article
  5. Article
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

8 authors at 2 institutions in 2 countries.

Julia M MalinowskaSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.ORCID 0000-0001-6565-2980
Taina PalosaariEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Jukka SundEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Donatella CarpiEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Ralf J M WeberSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK.
Gavin R LloydPhenome Centre Birmingham, University of Birmingham, Birmingham, B15 2TT, UK.
Maurice WhelanEuropean Commission, Joint Research Centre (JRC), Ispra, Italy.
Mark R ViantSchool of Biosciences, University of Birmingham, Birmingham, B15 2TT, UK. m.viant@bham.ac.uk.
Joint Research Centre · ITUniversity of Birmingham · GB

Funding

European Commission's Joint Research Centre 938482-IPR-2019Natural Environment Research Council NE/P010326/1Thermo Fisher Scientific NE/P010326/1
6 · The paper itself

Abstract

Amongst omics technologies, metabolomics should have particular value in regulatory toxicology as the measurement of the molecular phenotype is the closest to traditional apical endpoints, whilst offering mechanistic insights into the biological perturbations. Despite this, the application of untargeted metabolomics for point-of-departure (POD) derivation via benchmark concentration (BMC) modelling is still a relatively unexplored area. In this study, a high-throughput workflow was applied to derive PODs associated with a chemical exposure by measuring the intracellular metabolome of the HepaRG cell line following treatment with one of four chemicals (aflatoxin B

Indexed as

Benzo(a)pyreneAflatoxin B1Cell LineCyclosporineLipidsMetabolomicsRotenoneAflatoxin B1Benzo(a)pyreneCyclosporineLipidsRotenoneBenchmark concentration analysisChemical risk assessmentDirect infusion mass spectrometryHepaRGIn vitro metabolomicsPoint-of-departure

Identifiers

PMID36683062
PMCPMC9968698
OpenAlexW4317706995

What Socratic holds

Textmetadata
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 Socratic graph.