Evaluation of multiple mechanism-based toxicity endpoints in primary cultured human hepatocytes for the identification of drugs with clinical hepatotoxicity: Results from 152 marketed drugs with known liver injury profiles
Graphical abstract
152 drugs with known clinical hepatotoxicity profiles were evaluated in primary human hepatocytes (pool of 10 donors) using cellular ATP content (ATP), reactive oxygen species (ROS), caspase activation (Casp), and reduced glutathione content GSH) as endpoints. Receiver operating characteristic (ROC) was performed for data analysis. ROS/ATP ration was found to provide the best performance in the distinction of drugs associated with severe drug induced liver injury (sDILI) from drugs that were either nonhepatotoxic or hepatotoxic but not considered sDILI drugs (non-sDILI). The AUC of the ROS/ATP ratio represents a superior approach than the use of all other endpoints in the identification of sDILI from non-sDILI drugs. ROS/ATP ratio was found to provide superior performance to other endpoints. Our results suggest that evaluation of drugs in human hepatocytes using ROS/ATP AUC ratio may allow the identification of drugs with sDILI potential and therefore may be useful in drug development in drug candidate selection to minimize DILI liability.
Introduction
Drug-induced liver injury (DILI), being one of the most common reasons for early termination of drug development and post-marketing regulatory actions [16], [28], continues to be a major challenge in the drug development and regulatory decision making processes. The occurrence of severe DILI (sDILI) events leading to acute liver failure (ALF) of marketed drugs illustrates the inadequacy of the current testing strategy to accurately identify perpetrators that can cause death or result in the need for liver transplantation. The shortfall of preclinical safety evaluations may be attributed to the significant species difference in drug-metabolizing enzyme pathways (e.g. species differences in metabolic activation and detoxification) and toxicological mechanisms [2], [20]. The failure of clinical trials to identify sDILI events can be explained by their low incidence, which has been estimated to be 1 case per 100,000 patients per year [3], [23].
Therefore, there is an unmet need for effective strategies at an early stage in drug development to avoid the occurrence of sDILI. One strategy is to identify the at-risk population. However, in spite of an apparently promising finding that the major histocompatibility complex (MHC) variant alleles HLA-B*5701 genotype is a major determinant of drug-induced liver injury due to flucloxacillin [7], [8], an international genome-wide association study (GWAS) failed to identify common genetic variants amongst patients with serious drug-induced liver injuries, thus suggesting that either genetic determinants are drug-specific or that the genetic events are rare and are not readily identifiable [25], [31]. It has been postulated that the individual differences in sensitivity to hepatotoxic drugs are a result of the co-occurrence of multiple, transient, environmentally-related phenomena, and therefore cannot be identified by genome characterization alone [19]. One promising ongoing focus is to develop accurate diagnostic early biomarkers such as microRNA-122 to complement serum transaminases in order to allow early therapeutic intervention to avoid full development of DILI events [29], [33], [34].
The study reported here is based on the hypothesis that drugs found to cause idiosyncratic hepatotoxicity may have common chemical and biological properties which can be used for their identification [19]. We have selected primary human hepatocytes as the experimental system to evaluate the hypothesis for the following reasons: 1. While DILI may involve multiple cell types, damage to hepatocytes is a major pathological finding for acute liver failure [11], [32]. 2. Primary human hepatocytes are known to retain key liver functions, especially human-specific drug metabolizing enzymes and cofactors, and are generally considered the “gold standard” for the evaluation of human drug metabolism and hepatotoxicity [12], [21].
We report here results of the evaluation of 152 marketed drugs in primary human hepatocytes with well-defined clinical hepatotoxicity using cellular ATP depletion, reactive oxygen species (ROS), glutathione (GSH) depletion, and caspase activation for apoptosis as endpoints. We observed that the drug-induced elevation of ROS/ATP ratio in human hepatocytes accurately identifies drugs associated with severe DILI events.
Section snippets
Materials and methods
Drug Library: The 152 drugs (Table 1, Table 2) used in the study were commercially obtained from Sigma Chemicals (St. Louis, MO), the United States Pharmacopeia (http://www.usp.org), and Sequoia Research Products Ltd (http://www.seqchem.com/).
DILI Classification Criteria: The 152 drugs were categorized based on their association with DILI events in order to assess the predictive performance of an in vitro experimental sDILI screening approach using human hepatocytes. The drugs were classified
Results
DILI classification: 65 drugs were classified as sDILI drugs (Table 1). Of these sDILI drugs, 14 were withdrawn from the US or Europe (N = 14) and 17 drugs received black-box warnings, with the remaining 34 sDILI drugs known to be associated with ALF. 52 drugs were associated with DILI events but did not fulfill the sDILI criteria and were classified as non-sDILI drugs (Table 2). 35 were not associated with DILI events and were classified as non-DILI drugs (Table 2). sDILI and non-sDILI drugs
Discussion
Accurate identification of drug candidates with sDILI properties is an ongoing challenge in drug development. The current status quo of identification of sDILI drugs by post-marketing survey is unacceptable due to the serious consequences in patients with these events. Our study was performed to test the “common property hypothesis” of Li that drugs with idiosyncratic drug hepatotoxicity could be identified based on their biological activities [19]. We have chosen human hepatocytes as the
Disclaimer
The views presented in this article do not necessarily reflect current or future opinion or policy of the US Food and Drug Administration. Any mention of commercial products is for clarification and not intended as endorsement.
Acknowledgment
Jürgen Borlak is supported by the German Federal Ministry for Education and Research as part of the Virtual Liver Network Initiative (grant 031 6154). He is also a recipient of an ORISE stipend from the US Food and Drug Administration. We appreciated Ke Yu and Yuri An for collecting data from LiverTox, Minjun Chen and Qiang Shi for providing information on FDA Drug Labeling, Weigong Ge and Zhichao Liu for making the figures, and Mikyung Lee for analysis on Toxicogenomics Project data. We also
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Senior authors contributed equally to the manuscript.