Related Experiment Video
Updated: May 22, 2026

LDL Cholesterol Uptake Assay Using Live Cell Imaging Analysis with Cell Health Monitoring
Published on: November 17, 2018
Statins increase cytochrome P450 4F3-mediated eicosanoids production in human liver cells: a PXR dependent mechanism
Emmanuelle Plée-Gautier1, Joseph Antoun, Sophie Goulitquer
1INSERM U613-ECLA, Faculté de Médecine, Université de Bretagne Occidentale, 29238 Brest, France. emmanuelle.plee-gautier@univ-brest.fr
Abstract:
In the present study, the ability of lovastatin, a competitive inhibitor of HMG-CoA reductase, to regulate the gene expression and function of Cytochrome P450 4F3B (CYP4F3B) was examined in the well differentiated HepaRG human hepatoma cell line. Statins induced CYP4F3B mRNA, protein and the production of 20-hydroxyeicosatetraenoic acid (20-HETE), a product of arachidonic acid metabolism and a peroxisome proliferator activated receptor (PPAR) ligand. This response was not dependent on cholesterol shortage or on sterol regulatory element binding protein activation. By both a pharmacological and a siRNA approaches, we demonstrated that recruitment of the Pregnane X Receptor (PXR) was required to mediate CYP4F3 induction by lovastatin. Furthermore, the CYP4F3 gene promoter was transcriptionally activated by PXR, and responded to lovastatin. Finally, the expression of fatty acid-responsive genes was increased in response to the statin or 20-HETE in a CYP4F3-dependent way. We propose that metabolites produced by CYP4F3 could modulate lipid metabolism in response to lovastatin. These results suggest the existence of a novel pathway, operating in liver cells, through which statins could lower lipid levels.
Related Concept Videos
Lipid-Lowering Drugs: Statins and Miscellaneous Agents
Pharmacogenetics of Phase I Enzymes: Cytochrome P450 Isozymes
Cholesterol: Significance and Regulation
Considering cholesterol and...
Transducer Mechanism: Nuclear Receptors
About 48 different soluble family members of nuclear receptors are identified that can be divided into two main classes:
Peroxisomes
Pharmacokinetics: Drug–Drug Interactions