Evidence map›Paper›PMID 41535591›Full record

ArticleArchives of toxicology2026

Single-cell transcriptomics of acetaminophen-induced responses in human 2D and 3D liver microtissues.

Brian Bwanya, Marcha C T Verheijen, Duncan Hauser, Theo M de Kok, Danyel G J Jennen, Twan van den Beucken, Florian Caiment

Abstract read
In one paragraph

Article in Archives of toxicology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Brian BwanyaDepartment of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Marcha C T VerheijenDepartment of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Duncan HauserDepartment of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Theo M de KokDepartment of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Danyel G J JennenDepartment of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Twan van den Beucken *Department of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands.
Florian Caiment *Department of Translational Genomics, GROW Research Institute for Oncology and Developmental Biology, Maastricht University, 6229 ER, Maastricht, The Netherlands. florian.caiment@maastrichtuniversity.nl.ORCID 0000-0002-3325-0466

Funding

European Union Horizon 2020 Research and Innovation programme 963845
6 · The paper itself

Abstract

Drug-induced liver injury remains a major obstacle in pharmaceutical development and a leading cause of acute liver failure, underscoring the need for predictive and human-relevant in vitro models. Acetaminophen, a widely used analgesic with well-characterized dose-dependent hepatotoxicity, serves as a benchmark compound for evaluating liver toxicity mechanisms. Here, we applied single cell RNA sequencing to characterize cellular responses to acetaminophen exposure in two distinct liver cell culture formats: two-dimensional monolayers (2D) and three-dimensional (3D) spheroids composed of primary human hepatocytes, Kupffer cells, and liver endothelial cells. Cultures were exposed for 24 h to low (350 µM) and high (2687 µM) acetaminophen concentrations, with 2D cultures receiving only the low dose. Compared to 2D monolayers, 3D spheroids exhibited greater transcriptional diversity and elevated expression of ribosomal genes, indicative of enhanced metabolic and biosynthetic activity. Reactome pathway analysis revealed pronounced hypoxia-associated signaling in 3D cultures even under baseline conditions, likely due to restricted oxygen diffusion within spheroids. These hypoxia signatures were most prominent in endothelial cells. Upon acetaminophen exposure, hypoxic hepatocytes displayed elevated expression of cytochrome P450 enzymes, while conjugation enzymes involved in detoxification declined with increasing dose, suggesting compromised phase II metabolism under oxygen-limited conditions. Normoxic hepatocytes showed minimal transcriptional response. These results suggest a dynamic interplay between oxygen availability and acetaminophen metabolism, where oxygen tension influences metabolic activity, and drug metabolism in turn alters the hypoxic landscape. Our findings underscore the physiological relevance of 3D liver models and highlight the importance of spatial microenvironmental context for improving mechanistic insights into hepatotoxicity.

Indexed as

AcetaminophenAnalgesics, Non-NarcoticChemical and Drug Induced Liver InjuryLiverTranscriptomeCells, CulturedDose-Response Relationship, DrugEndothelial CellsHepatocytesHumansKupffer CellsSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisSpheroids, CellularAcetaminophenAnalgesics, Non-NarcoticAcetaminophen toxicityDILIDrug metabolismHypoxiaSingle-cell transcriptomics

Identifiers

PMID41535591
PMCPMC13043593

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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.