ArticleDrug metabolism and disposition: the biological fate of chemicals2025
Deciphering the cell type-specific and zonal distribution of drug-metabolizing enzymes, transporters, and transcription factors in livers of mice using single-cell transcriptomics.
Article in Drug metabolism and disposition: the biological fate of chemicals, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 3 papers.
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.
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.
Who cites it
3 citing papers in PubMed.
- Circadian regulation of hepatic detoxification: implications for drug-induced liver injury.Archives of toxicology · 2026Review
- Altered Bile Acid Transport in Liver Disease.Biomedicines · 2026Review
- Single-cell transcriptomics showed that maternal polychlorinated biphenyl exposure dysregulated cell type-specific metabolic responses in the livers of female mouse offsprings.Drug metabolism and disposition: the biological fate of chemicals · 2026Article
Corrections and comments
- Erratum issued
Authors and funding
3 authors.
Funding
Abstract
The liver contains multiple cell types, including resident cell types and immune cells. The liver is also categorized into 3 zones: periportal (zone 1), midzonal (zone 2), and centrilobular (zone 3). The goal of this study was to characterize the distribution of drug-processing genes (DPGs) in mouse liver using published single-cell and nuclei transcriptomic datasets, which were subjected to zonal deconvolution. Filtering, normalization, clustering, and differential expression analyses were performed using Seurat V5 in R. Hepatocytes were assigned to 3 zones based on known zonal markers and validated with published spatial transcriptomics data. Among the 195 DPGs profiled, most were expressed highest in hepatocytes (61.3%). Interestingly, certain DPGs were expressed most highly in nonparenchymal cells, such as in cholangiocytes (11.2%, eg, carboxylesterase [Ces] 2e, Ces2g), endothelial cells (7.2%, eg, aldo-keto reductase [Akr] 1c19, Akr1e1), Kupffer cells (5.3%, eg, Akr1a1, Akr1b10), stellate cells (5.1%, eg, retinoic acid receptor [Rar] α, Rarβ), myofibroblasts (2.9%, RAR-related orphan receptor [Rar] α), and a few were expressed in immune cell types. In hepatocytes, 72.4% of phase-I enzymes were enriched in zone 3. Phase-II conjugation enzymes such as UDP-glucuronosyltransferases (75%) were enriched in zone 3, whereas sulfotransferases (40%) were enriched in zone 1. Hepatic xenobiotic transporters were enriched in zone 3. The xenobiotic biotransformation-regulating transcription factors were enriched in zone 3 hepatocytes. The enrichment of DPGs in liver cell types, including non-parenchymal cells and zone 1 hepatocytes, may serve as an additional repertoire for xenobiotic biotransformation. SIGNIFICANCE STATEMENT: Our study is among the first to systematically characterize the baseline mRNA enrichment of important drug-processing genes in different cell types and zones in the liver. This finding will aid in further understanding the mechanisms of chemical-induced liver injury with improved resolution and precision.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.