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Quantifying expression and metabolic activity of genes regulated by pregnane X receptor in primary human hepatocyte spheroids

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F25%3A00637296" target="_blank" >RIV/67985807:_____/25:00637296 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11160/25:10505421

  • Result on the web

    <a href="https://doi.org/10.1371/journal.pcbi.1012886" target="_blank" >https://doi.org/10.1371/journal.pcbi.1012886</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1371/journal.pcbi.1012886" target="_blank" >10.1371/journal.pcbi.1012886</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Quantifying expression and metabolic activity of genes regulated by pregnane X receptor in primary human hepatocyte spheroids

  • Original language description

    Xenoreceptors of the nuclear receptor superfamily, such as pregnane X receptor (PXR), are liver-enriched ligand-activated transcription factors regarded as crucial sensors in xenobiotic exposure and detoxification. PXR controls transcription of many drug-handling genes and influx/efflux transporters, thus playing a crucial role in drug metabolism and excretion. Liver functions have been studied using primary human hepatocytes (PHHs), which, when conventionally cultured, undergo rapid de-differentiation, leaving them unsuitable for long-term studies. Recently, 3D PHHs called spheroids have emerged as an in vitro model that is similar to in vivo hepatocytes regarding phenotype and function and represents the first in vitro model to study the long-term regulation of drug-handling genes by PXR. In this study, we used mathematical modelling to analyze the long-term activation of PXR in 3D PHHs through expression kinetics of three key PXR-regulated drug-metabolizing enzymes, CYP3A4, CYP2C9, and CYP2B6 and the P-glycoprotein efflux transporter encoding gene, MDR1. PXR action in 3D PHHs was induced by the antibiotic rifampicin at two clinically relevant concentrations. The results confirmed that high rifampicin concentrations activated PXR nearly to its full capacity. The analysis indicated the highest PXR-induced transcription rate constant for CYP2B6. The rate constant dictating mRNA degradation associated with activated PXR was highest for CYP3A4. Moreover, we measured the metabolic activity of CYP3A4, CYP2C9, and CYP2B6 and quantified their metabolic rate constants. Metabolic activity rate constant of CYP3A4 was found to be the highest whereas that of CYP2B6 was found to be the lowest among the studied enzymes. Our results provide important insight into the regulation of PXR-target genes in 3D PHHs and show that mRNA expression and metabolic activity data can be combined with quantitative analysis to reveal the long-term action of PXR and its effects on drug-handling genes.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10602 - Biology (theoretical, mathematical, thermal, cryobiology, biological rhythm), Evolutionary biology

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    PLoS Computational Biology

  • ISSN

    1553-734X

  • e-ISSN

    1553-7358

  • Volume of the periodical

    21

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    25

  • Pages from-to

    e1012886

  • UT code for WoS article

    001489617000005

  • EID of the result in the Scopus database

    2-s2.0-105002780485