Evidence map›Paper›PMID 38498338›Full record

ArticleEnvironmental health perspectives2024

Mapping Interindividual Variability of Toxicodynamics Using High-Throughput Transcriptomics and Primary Human Hepatocytes from Fifty Donors.

Marije Niemeijer, Witold Więcek, Shuai Fu, Suzanna Huppelschoten, Peter Bouwman, Audrey Baze, Céline Parmentier, Lysiane Richert, Richard S Paules, Frederic Y Bois and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.3field-weighted citation impact, top 5% 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

6 citing papers in PubMed, 12 citations in OpenAlex.

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  5. Incorporating new approach methods (NAMs) data in dose-response assessments: The future is now!Journal of toxicology and environmental health. Part B, Critical reviews · 2025
    Review
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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

11 authors at 3 institutions in 3 countries.

Marije NiemeijerDivision of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.ORCID 0000-0003-0045-2317
Witold WięcekSimcyp Division, CERTARA, Sheffield, UK.
Shuai FuSimcyp Division, CERTARA, Sheffield, UK.
Suzanna HuppelschotenDivision of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Peter BouwmanDivision of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Audrey BazeKaLy-Cell, Plobsheim, France.
Céline ParmentierKaLy-Cell, Plobsheim, France.
Lysiane RichertKaLy-Cell, Plobsheim, France.
Richard S PaulesDivision of the National Toxicology Program, NIEHS, NIH, Research Triangle Park, North Carolina, USA.
Frederic Y BoisSimcyp Division, CERTARA, Sheffield, UK.
Bob van de WaterDivision of Drug Discovery and Safety, LACDR, Leiden University, Leiden, The Netherlands.
Leiden University · NLSimcyp (United Kingdom) · GBTriangle · US

Funding

Biomolecular Screening and Alternative Approaches for the National Toxicology ProgramZIAES103318 · NIEHS · NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES · PI CASEY, WARREN · 2016 to 2021
$25.0M
Intramural NIH HHS ZIA ES103318
6 · The paper itself

Abstract

backgroundUnderstanding the variability across the human population with respect to toxicodynamic responses after exposure to chemicals, such as environmental toxicants or drugs, is essential to define safety factors for risk assessment to protect the entire population. Activation of cellular stress response pathways are early adverse outcome pathway (AOP) key events of chemical-induced toxicity and would elucidate the estimation of population variability of toxicodynamic responses.

objectivesWe aimed to map the variability in cellular stress response activation in a large panel of primary human hepatocyte (PHH) donors to aid in the quantification of toxicodynamic interindividual variability to derive safety uncertainty factors.

methodsHigh-throughput transcriptomics of over 8,000 samples in total was performed covering a panel of 50 individual PHH donors upon 8 to 24 h exposure to broad concentration ranges of four different toxicological relevant stimuli: tunicamycin for the unfolded protein response (UPR), diethyl maleate for the oxidative stress response (OSR), cisplatin for the DNA damage response (DDR), and tumor necrosis factor alpha (

resultsTranscriptome mapping allowed the investigation of the interindividual variability in concentration-dependent stress response activation, where the average of BMCs had a maximum difference of 864-, 13-, 13-, and 259-fold between different PHHs for UPR, OSR, DDR, and DISCUSSION: Overall, by combining high-throughput transcriptomics and population modeling, improved understanding of interindividual variability in chemical-induced activation of toxicity relevant stress pathways across the human population using a large panel of plated cryopreserved PHHs was established, thereby contributing toward increasing the confidence of

Indexed as

Gene Expression ProfilingHepatocytesHumansOxidative StressTranscriptome

Identifiers

PMID38498338
PMCPMC10947137
OpenAlexW4392907435

What OpenQuestion holds

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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.