Evidence map›Paper›PMID 39207506›Full record

ArticleArchives of toxicology2024

Comparative case study on NAMs: towards enhancing specific target organ toxicity analysis.

Kristina Jochum, Andrea Miccoli, Cornelia Sommersdorf, Oliver Poetz, Albert Braeuning, Tewes Tralau, Philip Marx-Stoelting

Abstract readComparative Study
In one paragraph

Article in Archives of toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

7 authors.

Kristina JochumDepartment of Pesticides Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Andrea MiccoliDepartment of Pesticides Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Cornelia SommersdorfSignatope GmbH, Tübingen, Germany.
Oliver PoetzSignatope GmbH, Tübingen, Germany.
Albert BraeuningDepartment of Food Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Tewes TralauDepartment of Pesticides Safety, German Federal Institute for Risk Assessment, Berlin, Germany.
Philip Marx-StoeltingDepartment of Pesticides Safety, German Federal Institute for Risk Assessment, Berlin, Germany. philip.marx-stoelting@bfr.bund.de.ORCID 0000-0002-6487-2153

Funding

Bundesinstitut für Risikobewertung 1322-794
6 · The paper itself

Abstract

Traditional risk assessment methodologies in toxicology have relied upon animal testing, despite concerns regarding interspecies consistency, reproducibility, costs, and ethics. New Approach Methodologies (NAMs), including cell culture and multi-level omics analyses, hold promise by providing mechanistic information rather than assessing organ pathology. However, NAMs face limitations, like lacking a whole organism and restricted toxicokinetic interactions. This is an inherent challenge when it comes to the use of omics data from in vitro studies for the prediction of organ toxicity in vivo. One solution in this context are comparative in vitro-in vivo studies as they allow for a more detailed assessment of the transferability of the respective NAM data. Hence, hepatotoxic and nephrotoxic pesticide active substances were tested in human cell lines and the results subsequently related to the biology underlying established effects in vivo. To this end, substances were tested in HepaRG and RPTEC/tERT1 cells at non-cytotoxic concentrations and analyzed for effects on the transcriptome and parts of the proteome using quantitative real-time PCR arrays and multiplexed microsphere-based sandwich immunoassays, respectively. Transcriptomics data were analyzed using three bioinformatics tools. Where possible, in vitro endpoints were connected to in vivo observations. Targeted protein analysis revealed various affected pathways, with generally fewer effects present in RPTEC/tERT1. The strongest transcriptional impact was observed for Chlorotoluron in HepaRG cells (increased CYP1A1 and CYP1A2 expression). A comprehensive comparison of early cellular responses with data from in vivo studies revealed that transcriptomics outperformed targeted protein analysis, correctly predicting up to 50% of in vivo effects.

Indexed as

Toxicity TestsCell LineComputational BiologyCytochrome P-450 CYP1A1Cytochrome P-450 CYP1A2HumansKidneyLiverPesticidesProteomeProteomicsReproducibility of ResultsRisk AssessmentTranscriptomeCytochrome P-450 CYP1A1Cytochrome P-450 CYP1A2PesticidesProteomeGene enrichmentHepaRGOmicsPathway analysisPesticidesRPTEC

Identifiers

PMID39207506
PMCPMC11489238

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Registered trials

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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.