HepG2 cells simultaneously expressing five P450 enzymes for the screening of hepatotoxicity: identification of bioactivable drugs and the potential mechanism of toxicity involved.

Use of the HepG2 cell line to assess hepatotoxicity induced by bioactivable compounds is hampered by their low cytochrome P450 expression. To overcome this limitation, we have used adenoviral transfection to develop upgraded HepG2 cells (ADV-HepG2) expressing the major P450 enzymes involved in drug metabolism (CYP1A2, CYP2D6, CYP2C9, CYP2C19, and CYP3A4) at levels comparable to those of human hepatocytes. The potential utility of this new cell model for the in vitro screening of bioactivable drugs was assessed using a high-content screening assay that we recently developed to simultaneously measure multiple parameters indicative of cell injury. To this end, ADV-HepG2 and HepG2 cells, cultured in 96-well plates, were exposed for 24 h to a wide range of concentrations of 12 bioactivable and 3 non-bioactivable compounds. The cell viability and parameters associated with nuclear morphology, mitochondrial function, intracellular calcium concentration, and oxidative stress indicative of prelethal cytotoxicity and representative of different mechanisms of toxicity were evaluated. Bioactivable compounds showed lower IC(50) values in ADV-HepG2 cells than in HepG2 cells. Moreover, significant differences in the other parameters analyzed were observed between both cell models, while similar effects were observed for non-bioactivable compounds (negative controls). The changes in cell parameters detected in our assay for a given compound are in good agreement with the previously reported toxicity mechanism. Overall, our results indicate that this assay may be a suitable new in vitro approach for early screening of compounds to identify bioactivable hepatotoxins and the mechanism(s) involved in their toxicity.

Drug metabolism by cultured human hepatocytes: how far are we from the in vivo reality?

The investigation of metabolism is an important milestone in the course of drug development. Drug metabolism is a determinant of drug pharmacokinetics variability in human beings. Fundamental to this are phenotypic differences, as well as genotypic differences, in the expression of the enzymes involved in drug metabolism. Genotypic variability is easy to identify by means of polymerase chain reaction-based or DNA chip-based methods, whereas phenotypic variability requires direct measurement of enzyme activities in liver, or, indirectly, measurement of the rate of metabolism of a given compound in vivo. There is a great deal of phenotypic variability in human beings, only a minor part being attributable to gene polymorphisms. Thus, enzyme activity measurements in a series of human livers, as well as in vivo studies with human volunteers, show that phenotypic variability is, by far, much greater than genotypic variability. In vitro models are currently used to investigate the hepatic metabolism of new compounds. Cultured human hepatocytes are considered to be the closest model to the human liver. However, the fact that hepatocytes are placed in a microenvironment that differs from that of the cells in the liver raises the question of to what extent drug metabolism variability observed in vitro actually reflects that in the liver in vivo. This issue has been examined by investigating the metabolism of the model compound, aceclofenac (an approved analgesic/anti-inflammatory drug), both in vitro and in vivo. Hepatocytes isolated from programmed liver biopsies were incubated with aceclofenac, and the metabolites formed were investigated by HPLC. The patients were given the drug during the course of clinical recovery, and the metabolites, largely present in urine, were analysed. In vitro and in vivo data from the same individual were compared. There was a good correlation between the in vitro and in vivo relative abundance of oxidised metabolites (4'-OH-aceclofenac + 4'-OH-diclofenac; Spearman's rho = 0.855), and the hydrolysis of aceclofenac (diclofenac + 4'-OH-aceclofenac + 4'-OH-diclofenac; rho = 0.691), while the conjugation of the drug in vitro was somewhat lower than in vivo. Globally, the metabolism of aceclofenac in vitro correlated with the amount of metabolites excreted in urine after 16 hours (rho = 0.95). Overall, although differing among assays, the in vitro/in vivo metabolism data for each patient were surprisingly similar. Thus, the variability observed in vitro appears to reflect genuine phenotypic variability among the donors.

Upgrading cytochrome P450 activity in HepG2 cells co-transfected with adenoviral vectors for drug hepatotoxicity assessment.

In a number of adverse drug reactions leading to hepatotoxicity, drug metabolism is thought to be involved by the generation of reactive metabolites from non-toxic drugs. The use of hepatoma cell lines, such as HepG2 cell line, for the evaluation of drug-induced hepatotoxicity is hampered by their low cytochrome P450 expression which makes impossible the study of the toxicity produced by bioactivable compounds. Genetically manipulated cells constitute promising tools for hepatotoxicity applications. HepG2 cells were simultaneously transfected with recombinant adenoviruses encoding CYP1A2, CYP2C9 and CYP3A4 to confer them drug-metabolic competence. Upgraded cells (Adv-HepG2) were highly able to metabolize the toxin studied in contrast to the reduced metabolic capacity of HepG2 cells. Aflatoxin B1-induced hepatotoxicity was studied as a proof of concept in metabolically competent and non-competent HepG2 cells by using high content screening technology. Significant differences in mitochondrial membrane potential, intracellular calcium concentration, nuclear morphology and cell viability after treatment with aflatoxin B1 were observed in Adv-HepG2 when compared to HepG2 cells. Rotenone (non bioactivable) and citrate (non hepatotoxic) were analysed as negative controls. This cell model showed to be a suitable hepatic model to test hepatotoxicity of bioactivable drugs and constitutes a valuable alternative for hepatotoxicity testing.