Structure- and Property-Based Optimization of Efficient Pan-Bromodomain and Extra Terminal Inhibitors to Identify Oral and Intravenous Candidate I-BET787.

The bromodomain and extra terminal (BET) family of bromodomain-containing proteins are important epigenetic regulators that elicit their effect through binding histone tail N-acetyl lysine (KAc) post-translational modifications. Recognition of such markers has been implicated in a range of oncology and immune diseases and, as such, small-molecule inhibition of the BET family bromodomain-KAc protein-protein interaction has received significant interest as a therapeutic strategy, with several potential medicines under clinical evaluation. This work describes the structure- and property-based optimization of a ligand and lipophilic efficient pan-BET bromodomain inhibitor series to deliver candidate I-BET787 (70) that demonstrates efficacy in a mouse model of inflammation and suitable properties for both oral and intravenous (IV) administration. This focused two-phase explore-exploit medicinal chemistry effort delivered the candidate molecule in 3 months with less than 100 final compounds synthesized.

Design, Synthesis, and Characterization of I-BET567, a Pan-Bromodomain and Extra Terminal (BET) Bromodomain Oral Candidate.

Through regulation of the epigenome, the bromodomain and extra terminal (BET) family of proteins represent important therapeutic targets for the treatment of human disease. Through mimicking the endogenous N-acetyl-lysine group and disrupting the protein-protein interaction between histone tails and the bromodomain, several small molecule pan-BET inhibitors have progressed to oncology clinical trials. This work describes the medicinal chemistry strategy and execution to deliver an orally bioavailable tetrahydroquinoline (THQ) pan-BET candidate. Critical to the success of this endeavor was a potency agnostic analysis of a data set of 1999 THQ BET inhibitors within the GSK collection which enabled identification of appropriate lipophilicity space to deliver compounds with a higher probability of desired oral candidate quality properties. SAR knowledge was leveraged via Free-Wilson analysis within this design space to identify a small group of targets which ultimately delivered I-BET567 (27), a pan-BET candidate inhibitor that demonstrated efficacy in mouse models of oncology and inflammation.

A multicenter assessment of single-cell models aligned to standard measures of cell health for prediction of acute hepatotoxicity.

Assessing the potential of a new drug to cause drug-induced liver injury (DILI) is a challenge for the pharmaceutical industry. We therefore determined whether cell models currently used in safety assessment (HepG2, HepaRG, Upcyte and primary human hepatocytes in conjunction with basic but commonly used endpoints) are actually able to distinguish between novel chemical entities (NCEs) with respect to their potential to cause DILI. A panel of thirteen compounds (nine DILI implicated and four non-DILI implicated in man) were selected for our study, which was conducted, for the first time, across multiple laboratories. None of the cell models could distinguish faithfully between DILI and non-DILI compounds. Only when nominal in vitro concentrations were adjusted for in vivo exposure levels were primary human hepatocytes (PHH) found to be the most accurate cell model, closely followed by HepG2. From a practical perspective, this study revealed significant inter-laboratory variation in the response of PHH, HepG2 and Upcyte cells, but not HepaRG cells. This variation was also observed to be compound dependent. Interestingly, differences between donors (hepatocytes), clones (HepG2) and the effect of cryopreservation (HepaRG and hepatocytes) were less important than differences between the cell models per se. In summary, these results demonstrate that basic cell health endpoints will not predict hepatotoxic risk in simple hepatic cells in the absence of pharmacokinetic data and that a multicenter assessment of more sophisticated signals of molecular initiating events is required to determine whether these cells can be incorporated in early safety assessment.

Preclinical strategy to reduce clinical hepatotoxicity using in vitro bioactivation data for >200 compounds.

Drug-induced liver injury is the most common cause of market withdrawal of pharmaceuticals, and thus, there is considerable need for better prediction models for DILI early in drug discovery. We present a study involving 223 marketed drugs (51% associated with clinical hepatotoxicity; 49% non-hepatotoxic) to assess the concordance of in vitro bioactivation data with clinical hepatotoxicity and have used these data to develop a decision tree to help reduce late-stage candidate attrition. Data to assess P450 metabolism-dependent inhibition (MDI) for all common drug-metabolizing P450 enzymes were generated for 179 of these compounds, GSH adduct data generated for 190 compounds, covalent binding data obtained for 53 compounds, and clinical dose data obtained for all compounds. Individual data for all 223 compounds are presented here and interrogated to determine what level of an alert to consider termination of a compound. The analysis showed that 76% of drugs with a daily dose of <100 mg were non-hepatotoxic (p < 0.0001). Drugs with a daily dose of ≥100 mg or with GSH adduct formation, marked P450 MDI, or covalent binding ≥200 pmol eq/mg protein tended to be hepatotoxic (∼ 65% in each case). Combining dose with each bioactivation assay increased this association significantly (80-100%, p < 0.0001). These analyses were then used to develop the decision tree and the tree tested using 196 of the compounds with sufficient data (49% hepatotoxic; 51% non-hepatotoxic). The results of these outcome analyses demonstrated the utility of the tree in selectively terminating hepatotoxic compounds early; 45% of the hepatotoxic compounds evaluated using the tree were recommended for termination before candidate selection, whereas only 10% of the non-hepatotoxic compounds were recommended for termination. An independent set of 10 GSK compounds with known clinical hepatotoxicity status were also assessed using the tree, with similar results.

Development of a transactivator in hepatoma cells that allows expression of phase I, phase II, and chemical defense genes.

Precise control of the level of protein expression in cells can yield quantitative and temporal information on the role of a given gene in normal cellular physiology and on exposure to chemicals and drugs. This is particularly relevant to liver cells, in which the expression of many proteins, such as phase I and phase II drug-metabolizing enzymes, vary widely between species, among individual humans, and on exposure to xenobiotics. The most widely used gene regulatory system has been the tet-on/off approach. Although a second-generation tet-on transactivator was recently described, it has not been widely investigated for its potential as a tool for regulating genes in cells and particularly in cells previously recalcitrant to the first-generation tet-on approach, such as hepatocyte-derived cells. Here we demonstrate the development of two human (HepG2 and HuH7) and one mouse (Hepa1c1c7) hepatoma-derived cell lines incorporating a second-generation doxycycline-inducible gene expression system and the application of the human lines to control the expression of different transgenes. The two human cell lines were tested for transient or stable inducibility of five transgenes relevant to liver biology, namely phase I (cytochrome P-450 2E1; CYP2E1) and phase II (glutathione S-transferase P1; GSTP1) drug metabolism, and three transcription factors that respond to chemical stress [nuclear factor erythroid 2 p45-related factors (NRF)1 and 2 and NFKB1 subunit of NF-kappaB]. High levels of functional expression were obtained in a time- and dose-dependent manner. Importantly, doxycycline did not cause obvious changes in the cellular proteome. In conclusion, we have generated hepatocyte-derived cell lines in which expression of genes is fully controllable.

Protein expression profiling of glutathione S-transferase pi null mice as a strategy to identify potential markers of resistance to paracetamol-induced toxicity in the liver.

GST pi (GSTP) is a member of the glutathione S-transferase (EC 2.5.1.18; GST) family of enzymes that catalyse the conjugation of electrophilic species with reduced glutathione and thus play an important role in the detoxification of electrophilic metabolites. Deletion of GSTP in mice has previously been shown to lead to enhanced susceptibility to chemical-induced skin carcinoma, consistent with its known metabolic functions. A decreased susceptibility to paracetamol hepatotoxicity has also been observed, which has not been fully explained. One possibility is that deletion of the GSTP gene locus results in compensatory changes in other proteins involved in defence against chemical stress. We have therefore used complementary protein expression profiling techniques to perform a systematic comparison of the protein expression profiles of livers from GSTP null and wild-type mice. Analysis of liver proteins by two-dimensional electrophoresis confirmed the absence of GSTP in null mice whereas GSTP represented 3-5% of soluble protein in livers from wild-type animals. There was a high degree of quantitative and qualitative similarity in other liver proteins between GSTP null and wild-type mice. There was no evidence that the absence of GSTP in null animals resulted in enhanced expression of other GST isoforms in the null mice (GST alpha, 1.48%, GST mu, 1.68% of resolved proteins) compared with the wild-type animals (GST alpha, 1.50%, GST mu, 1.40%). In contrast, some members of the thiol specific antioxidant family of proteins, notably antioxidant protein 2 and thioredoxin peroxidases, were expressed at a higher level in the GSTP null mouse livers. These changes presumably reflect the recently described role of GSTP in cell signalling and may underlie the protection against paracetamol toxicity seen in these animals.