Nonclinical rodent and nonrodent toxicity models used to support clinical trials of candidate drugs may produce discordant results or fail to predict complications in humans, contributing to drug failures in the clinic. Here, we applied microengineered Organs-on-Chips technology to design a rat, dog, and human Liver-Chip containing species-specific primary hepatocytes interfaced with liver sinusoidal endothelial cells, with or without Kupffer cells and hepatic stellate cells, cultured under physiological fluid flow. The Liver-Chip detected diverse phenotypes of liver toxicity, including hepatocellular injury, steatosis, cholestasis, and fibrosis, and species-specific toxicities when treated with tool compounds. A multispecies Liver-Chip may provide a useful platform for prediction of liver toxicity and inform human relevance of liver toxicities detected in animal studies to better determine safety and human risk.

ABSTRACT:Time-dependent inhibition (TDI) of cytochrome P450 (P450) enzymes caused by new molecular entities (NMEs) is of concern because such compounds can be responsible for clinically relevant drug-drug interactions (DDI). Although the biochemistry underlying mechanism-based inactivation (MBI) of P450 enzymes has been generally understood for several years, significant advances have been made only in the past few years regarding how in vitro time-dependent inhibition data can be used to understand and predict clinical DDI. In this article, a team of scientists from 16 pharmaceutical research organizations that are member companies of the Pharmaceutical Research and Manufacturers of America offer a discussion of the phenomenon of TDI with emphasis on the laboratory methods used in its measurement. Results of an anonymous survey regarding pharmaceutical industry practices and strategies around TDI are reported. Specific topics that still possess a high degree of uncertainty are raised, such as parameter estimates needed to make predictions of DDI magnitude from in vitro inactivation parameters. A description of follow-up mechanistic experiments that can be done to characterize TDI are described. A consensus recommendation regarding common practices to address TDI is included, the salient points of which include the use of a tiered approach wherein abbreviated assays are first used to determine whether NMEs demonstrate TDI or not, followed by more thorough inactivation studies for those that do to define the parameters needed for prediction of DDI.Pharmacokinetic drug-drug interactions (DDIs) can occur when one drug alters the metabolism of a coadministered drug. The outcome is an increase or decrease in the systemic clearance and/or bioavailability, and a corresponding change in the exposure to a coadministered drug. The clinical consequences of DDIs range from lack of therapeutic efficacy of a life saving drug to severe adverse drug reactions, including fatalities. Significant drug-drug interactions can lead to termination of development of otherwise promising new therapies, withdrawal of a drug from the market, or severe restrictions/limitations on its use (Wienkers and Heath, 2005). Because of the impact on patient health and safety, DDI was the subject of a position paper in 2003 by scientists from member companies of the Pharmaceutical Research and Manufacturers of America (PhRMA) that focused on Article, publication date, and citation information can be found at

A need still exists for a liquid chromatography/tandem mass spectrometry (LC/MS/MS) method that can detect broad classes of glutathione (GSH) conjugates and provide characterization of their structures. We now describe the development of a method that multiplexes high-resolution accurate mass analysis with isotope pattern triggered data-dependent product ion scans, for simultaneous detection and structural elucidation of GSH conjugates within a single analysis using a LTQ/Orbitrap. This method was initially developed to detect GSH conjugates generated from incubating 10 microM test compound with pooled human liver microsomes fortified with NADPH-regenerating system and a 2:1 ratio of 5 mM glutathione and [(13)C(2) (15)N-Gly]glutathione. The GSH conjugates were detected by isotope search of mass defect filtered and control subtracted full scan accurate MS data using MetWorks software. This was followed by elucidation of reactive intermediate structures using chemical formulae for both protonated molecules and their product ions from accurate masses in a single analysis. The mass accuracies measured for the precursor and product ions by the Orbitrap were <2 ppm in external mass calibration mode. Successful detection and characterization of GSH conjugates of acetaminophen, tienilic acid, clozapine, ticlopidine and mifepristone validated this method. In each case, the detected GSH conjugates were within the top five hits by isotope search. This method also has a broader detection capability since it is independent of the collision-induced dissociation behavior of the GSH conjugates. Furthermore, this method is amenable to a broad class of reactive intermediate trapping agents as exemplified by the simultaneous detection and structural elucidation of the cyano-N-methylene iminium ion conjugates of verapamil and its O-desmethyl metabolites, which we report for the first time. In addition to the chemically tagged reactive intermediates, this method also provides information on stable metabolites from the full scan accurate MS data.

Non-covalent binding of antibiotics to their target ligands represents a form of molecular recognition which is of considerable contemporary interest in bioorganic and bioanalytical chemistry. The vancomycin antibiotics, including vancomycin and ristocetin, are a family of complex glycopeptides which bind specifically to the C-terminal