Evidence map›Paper›PMID 41947679›Full record

ArticleJournal of veterinary science2026

Comparison of cytochrome P450 activity and mRNA expression in canine vs. human hepatocytes after acetaminophen, diclofenac, or valproic acid exposure.

Jea Ran Kang, Juyoung Lee, Han Na Suh

Abstract readComparative Study
In one paragraph

Article in Journal of veterinary science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Jea Ran KangCenter for Translational Toxicologic Research, Korea Institute of Toxicology, Jeongeup 56212, Korea.ORCID https://orcid.org/0009-0005-9249-7820
Juyoung LeeCenter for Large Animals Convergence Research, Korea Institute of Toxicology, Jeongeup 56212, Korea.ORCID https://orcid.org/0000-0002-5375-4688
Han Na SuhCenter for Translational Toxicologic Research, Korea Institute of Toxicology, Jeongeup 56212, Korea. hanna.suh@kitox.re.kr.ORCID https://orcid.org/0000-0002-7647-7249

Funding

Korea Institute of Toxicology 2710086913
6 · The paper itself

Abstract

importanceAlthough extensive studies have been conducted on cytochrome P450 (CYP) enzymes in rodents and humans, research on canine CYP enzymes is limited. The lack of species-specific metabolic research on dogs presents a major challenge in predicting toxicity and adverse drug reactions.

objectiveThis study aimed to examine the interspecies differences in CYP enzyme activity and mRNA expression between canine and human hepatocytes following treatment with acetaminophen (AAP), diclofenac (Dic), or valproic acid (VPA).

methodsWe determined the 24-h exposure half-maximal inhibitory concentration (IC₅₀) values of AAP, Dic, and VPA in canine and human hepatocytes. Based on these IC₅₀ concentrations, we compared drug-induced alterations in various parameters, including immunocytochemistry, transcriptomic profiles (RNA-seq), and CYP activity, to assess changes at the gene and protein levels.

resultsAAP and VPA increased CONCLUSIONS AND RELEVANCE: The observed differences between species in CYP activity and mRNA levels in response to drug exposure highlight the importance of accurate and precise experimental models for the development of new medications.

Indexed as

AcetaminophenCytochrome P-450 Enzyme SystemDiclofenacHepatocytesValproic AcidAnimalsDogsGene Expression Regulation, EnzymologicHumansRNA, MessengerSpecies SpecificityAcetaminophenCytochrome P-450 Enzyme SystemDiclofenacRNA, MessengerValproic AcidCompanion animalCYP activitycytochrome P450drug-induced liver injurymRNA expression

Identifiers

PMID41947679
PMCPMC13062425

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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.