Guido Steiner

Discriminating different classes of toxicants by transcript profiling

Male rats were treated with various model compounds or the appropriate vehicle controls. Most substances were either well-known hepatotoxicants or showed hepatotoxicity during preclinical testing. The aim of the present study was to determine if biological samples from rats treated with various compounds can be classified based on gene expression profiles. In addition to gene expression analysis using microarrays, a complete serum chemistry profile and liver and kidney histopathology were performed. We analyzed hepatic gene expression profiles using a supervised learning method (support vector machines; SVMs) to generate classification rules and combined this with recursive feature elimination to improve classification performance and to identify a compact subset of probe sets with potential use as biomarkers. Two different SVM algorithms were tested, and the models obtained were validated with a compound-based external cross-validation approach. Our predictive models were able to discriminate between hepatotoxic and nonhepatotoxic compounds. Furthermore, they predicted the correct class of hepatotoxicant in most cases. We provide an example showing that a predictive model built on transcript profiles from one rat strain can successfully classify profiles from another rat strain. In addition, we demonstrate that the predictive models identify nonresponders and are able to discriminate between gene changes related to pharmacology and toxicity. This work confirms the hypothesis that compound classification based on gene expression data is feasible.

Altered metabolic profile in the frontal cortex of PS2APP transgenic mice, monitored throughout their life span.

The transgenic mouse line PS2APP (PS2N141I x APP(swe)) develops an age-related cognitive decline associated with severe amyloidosis, mimicking the pathophysiologic processes in Alzheimer disease (AD). In the quest for biomarkers to monitor, noninvasively, the progression of the disease, we used magnetic resonance imaging and 1H-spectroscopy to characterize PS2APP mice throughout their life span. Morphometric measurements revealed only small size differences to controls. The metabolic profile, however, showed clear indicators of hypometabolism with age in the PS2APP mice: both N-acetyl-aspartate and glutamate were significantly reduced in the older animals. These spectroscopic measures in vivo correlated well with the plaque load in the frontal cortex. A diagnostic test, based on these measures, reached 92% sensitivity and 82% specificity at age 20 months. These noninvasive biomarkers can be exploited in preclinical pharmaceutical research to cope with the high variability in transgenic animal models and to enhance the power of drug efficacy studies.

The CRTC1-SIK1 Pathway Regulates Entrainment of the Circadian Clock

Summary Retinal photoreceptors entrain the circadian system to the solar day. This photic resetting involves cAMP response element binding protein (CREB)-mediated upregulation of Per genes within individual cells of the suprachiasmatic nuclei (SCN). Our detailed understanding of this pathway is poor, and it remains unclear why entrainment to a new time zone takes several days. By analyzing the light-regulated transcriptome of the SCN, we have identified a key role for salt inducible kinase 1 (SIK1) and CREB-regulated transcription coactivator 1 (CRTC1) in clock re-setting. An entrainment stimulus causes CRTC1 to coactivate CREB, inducing the expression of Per1 and Sik1. SIK1 then inhibits further shifts of the clock by phosphorylation and deactivation of CRTC1. Knockdown of Sik1 within the SCN results in increased behavioral phase shifts and rapid re-entrainment following experimental jet lag. Thus SIK1 provides negative feedback, acting to suppress the effects of light on the clock. This pathway provides a potential target for the regulation of circadian rhythms.

Expression Profiles of Metabolic Enzymes and Drug Transporters in the Liver and along the Intestine of Beagle Dogs

Beagle dogs are widely used in preclinical pharmacokinetic, safety, and formulation studies. However, little is known about intestinal and hepatic distribution of major enzymes and transporters involved in oral absorption and presystemic drug metabolism. We characterized mRNA levels of CYP3A12, CYP3A26, CYP2D15, UGT1A6, ABCB1 (MDR1), ABCC1 (MRP1), ABCG2 (BCRP), SLC15A1 (PEPT1), and SLC22A1 (OCT1) in dog liver and along the intestine by real-time quantitative reverse transcription-polymerase chain reaction. Tissue protein levels of CYP2D15, MDR1, and PEPT1 were obtained by Western blot. Gene distribution and expression variability was statistically described by a generalized additive mixed model smoothing function and correspondence analysis. Results were compared with the expression pattern known for the human orthologs. Hepatic mRNA levels for metabolic enzymes were generally higher than those for membrane transporters, whereas in the intestine the opposite was observed. Hepatic mRNA levels followed the order CYP2D15 > UGT1A6 ≈ CYP3A26 > ABCB1 ≈ SLC15A1 ≈ SLC22A1 > ABCG2 > ABCC1 ≈ CYP3A12. Along the gut, the genes were differentially distributed with greatest expression in duodenum/upper jejunum (ABCG2), middle jejunum (ABCB1 and SLC15A1), or in cecum/colon (ABCC1 and CYP2D15). CYP3A12, CYP3A26, SLC22A1, and UGT1A6 had a rather uniform expression. Intestinal mRNA profiles of CYP2D15, ABCB1, and SLC15A1 correlated with the respective protein levels. Canine CYP3A12/26, CYP2D15, and ABCB1 colonic distributions differed from those of human orthologs, whereas UGT1A6, ABCC1, ABCG2, SLC15A1, and SLC22A1 were comparable to those of humans in both small and large intestine. We aim to apply these data to better interpret pharmacokinetic studies in dogs with respect to their human relevance.

Comparative Transcriptional Network Modeling of Three PPAR-α/γ Co-Agonists Reveals Distinct Metabolic Gene Signatures in Primary Human Hepatocytes

Aims To compare the molecular and biologic signatures of a balanced dual peroxisome proliferator-activated receptor (PPAR)-α/γ agonist, aleglitazar, with tesaglitazar (a dual PPAR-α/γ agonist) or a combination of pioglitazone (Pio; PPAR-γ agonist) and fenofibrate (Feno; PPAR-α agonist) in human hepatocytes. Methods and Results Gene expression microarray profiles were obtained from primary human hepatocytes treated with EC50-aligned low, medium and high concentrations of the three treatments. A systems biology approach, Causal Network Modeling, was used to model the data to infer upstream molecular mechanisms that may explain the observed changes in gene expression. Aleglitazar, tesaglitazar and Pio/Feno each induced unique transcriptional signatures, despite comparable core PPAR signaling. Although all treatments inferred qualitatively similar PPAR-α signaling, aleglitazar was inferred to have greater effects on high- and low-density lipoprotein cholesterol levels than tesaglitazar and Pio/Feno, due to a greater number of gene expression changes in pathways related to high-density and low-density lipoprotein metabolism. Distinct transcriptional and biologic signatures were also inferred for stress responses, which appeared to be less affected by aleglitazar than the comparators. In particular, Pio/Feno was inferred to increase NFE2L2 activity, a key component of the stress response pathway, while aleglitazar had no significant effect. All treatments were inferred to decrease proliferative signaling. Conclusions Aleglitazar induces transcriptional signatures related to lipid parameters and stress responses that are unique from other dual PPAR-α/γ treatments. This may underlie observed favorable changes in lipid profiles in animal and clinical studies with aleglitazar and suggests a differentiated gene profile compared with other dual PPAR-α/γ agonist treatments.

Gene expression-based in vivo and in vitro prediction of liver toxicity allows compound selection at an early stage of drug development.

We have analyzed gene expression and histopathology of rat liver treated with a histamine‐3 receptor inverse agonist under development for the treatment of obesity 24 h after a single acute administration. While histopathology did not identify a clear liver toxicity, analysis of gene changes strongly suggested the development of toxicity. This prediction was confirmed in a 2‐week repeat‐dose rat study where prominent liver pathology occurred, while gene changes that lead to the prediction persisted. A subset of these genes was analyzed in vitro in both rat and human hepatocytes to reveal the potential relevancy of the findings for the situation in humans. This comprehensive analysis of the development compound at the gene expression level allowed interpretation of findings of the follow‐up compound in a frontloaded 24‐h single‐dose acute study that was initiated before regular 2‐week repeat‐dose studies started. The high similarity of the follow‐up compound to the lead compound based on gene expression lead to the immediate termination of the development program for this compound series. Our data demonstrate the value of genomics‐based early toxicity prediction in short‐term in vivo studies for the characterization of compounds to allow prioritization and selection of suited candidates before compound‐, animal‐, and cost‐intensive longer term studies are undertaken.

Human ex-vivo action potential model for pro-arrhythmia risk assessment

While current S7B/E14 guidelines have succeeded in protecting patients from QT-prolonging drugs, the absence of a predictive paradigm identifying pro-arrhythmic risks has limited the development of valuable drug programs. We investigated if a human ex-vivo action potential (AP)-based model could provide a more predictive approach for assessing pro-arrhythmic risk in man. Human ventricular trabeculae from ethically consented organ donors were used to evaluate the effects of dofetilide, d,l-sotalol, quinidine, paracetamol and verapamil on AP duration (APD) and recognized pro-arrhythmia predictors (short-term variability of APD at 90% repolarization (STV(APD90)), triangulation (ADP90-APD30) and incidence of early afterdepolarizations at 1 and 2Hz to quantitatively identify the pro-arrhythmic risk. Each drug was blinded and tested separately with 3 concentrations in triplicate trabeculae from 5 hearts, with one vehicle time control per heart. Electrophysiological stability of the model was not affected by sequential applications of vehicle (0.1% dimethyl sulfoxide). Paracetamol and verapamil did not significantly alter anyone of the AP parameters and were classified as devoid of pro-arrhythmic risk. Dofetilide, d,l-sotalol and quinidine exhibited an increase in the manifestation of pro-arrhythmia markers. The model provided quantitative and actionable activity flags and the relatively low total variability in tissue response allowed for the identification of pro-arrhythmic signals. Power analysis indicated that a total of 6 trabeculae derived from 2 hearts are sufficient to identify drug-induced pro-arrhythmia. Thus, the human ex-vivo AP-based model provides an integrative translational assay assisting in shaping clinical development plans that could be used in conjunction with the new CiPA-proposed approach.

Functional analysis and transcriptional output of the Göttingen minipig genome.

BackgroundIn the past decade the Göttingen minipig has gained increasing recognition as animal model in pharmaceutical and safety research because it recapitulates many aspects of human physiology and metabolism. Genome-based comparison of drug targets together with quantitative tissue expression analysis allows rational prediction of pharmacology and cross-reactivity of human drugs in animal models thereby improving drug attrition which is an important challenge in the process of drug development.ResultsHere we present a new chromosome level based version of the Göttingen minipig genome together with a comparative transcriptional analysis of tissues with pharmaceutical relevance as basis for translational research. We relied on mapping and assembly of WGS (whole-genome-shotgun sequencing) derived reads to the reference genome of the Duroc pig and predict 19,228 human orthologous protein-coding genes. Genome-based prediction of the sequence of human drug targets enables the prediction of drug cross-reactivity based on conservation of binding sites. We further support the finding that the genome of Sus scrofa contains about ten-times less pseudogenized genes compared to other vertebrates. Among the functional human orthologs of these minipig pseudogenes we found HEPN1, a putative tumor suppressor gene. The genomes of Sus scrofa, the Tibetan boar, the African Bushpig, and the Warthog show sequence conservation of all inactivating HEPN1 mutations suggesting disruption before the evolutionary split of these pig species. We identify 133 Sus scrofa specific, conserved long non-coding RNAs (lncRNAs) in the minipig genome and show that these transcripts are highly conserved in the African pigs and the Tibetan boar suggesting functional significance. Using a new minipig specific microarray we show high conservation of gene expression signatures in 13 tissues with biomedical relevance between humans and adult minipigs. We underline this relationship for minipig and human liver where we could demonstrate similar expression levels for most phase I drug-metabolizing enzymes. Higher expression levels and metabolic activities were found for FMO1, AKR/CRs and for phase II drug metabolizing enzymes in minipig as compared to human. The variability of gene expression in equivalent human and minipig tissues is considerably higher in minipig organs, which is important for study design in case a human target belongs to this variable category in the minipig. The first analysis of gene expression in multiple tissues during development from young to adult shows that the majority of transcriptional programs are concluded four weeks after birth. This finding is in line with the advanced state of human postnatal organ development at comparative age categories and further supports the minipig as model for pediatric drug safety studies.ConclusionsGenome based assessment of sequence conservation combined with gene expression data in several tissues improves the translational value of the minipig for human drug development. The genome and gene expression data presented here are important resources for researchers using the minipig as model for biomedical research or commercial breeding. Potential impact of our data for comparative genomics, translational research, and experimental medicine are discussed.

A Novel Orally Available Small Molecule That Inhibits Hepatitis B Virus Expression.

BACKGROUND & AIMS The hallmarks of chronic HBV infection are a high viral load (HBV DNA) and even higher levels (>100-fold in excess of virions) of non-infectious membranous particles containing the tolerogenic viral S antigen (HBsAg). Currently, standard treatment effectively reduces viremia but only rarely results in a functional cure (defined as sustained HBsAg loss). There is an urgent need to identify novel therapies that reduce HBsAg levels and restore virus-specific immune responsiveness in patients. We report the discovery of a novel, potent and orally bioavailable small molecule inhibitor of HBV gene expression (RG7834). METHODS RG7834 antiviral characteristics and selectivity against HBV were evaluated in HBV natural infection assays and in a urokinase-type plasminogen activator/severe combined immunodeficiency humanized mouse model of HBV infection, either alone or in combination with entecavir. RESULTS Unlike nucleos(t)ide therapies, which reduce viremia but do not lead to an effective reduction in HBV antigen expression, RG7834 significantly reduced the levels of viral proteins (including HBsAg), as well as lowering viremia. Consistent with its proposed mechanism of action, time course RNA-seq analysis revealed a fast and selective reduction in HBV mRNAs in response to RG7834 treatment. Furthermore, oral treatment of HBV-infected humanized mice with RG7834 led to a mean HBsAg reduction of 1.09 log10 compared to entecavir, which had no significant effect on HBsAg levels. Combination of RG7834, entecavir and pegylated interferon α-2a led to significant reductions of both HBV DNA and HBsAg levels in humanized mice. CONCLUSION We have identified a novel oral HBV viral gene expression inhibitor that blocks viral antigen and virion production, that is highly selective for HBV, and has a unique antiviral profile that is clearly differentiated from nucleos(t)ide analogues. LAY SUMMARY We discovered a novel small molecule viral expression inhibitor that is highly selective for HBV and unlike current therapy inhibits the expression of viral proteins by specifically reducing HBV mRNAs. RG7834 can therefore potentially provide anti-HBV benefits and increase HBV cure rates, by direct reduction of viral agents needed to complete the viral life cycle, as well as a reduction of viral agents involved in evasion of the host immune responses.

Characterization of post-surgical alterations in the bile duct-cannulated rat

The bile duct-cannulated (BDC) rat is a standard animal model used in ADME experiments. The aim of this study was to investigate post-surgical alterations that are relevant to ADME investigations in BDC rats compared with sham- and non-operated animals. Water and food intake was reduced in the animals’ post-surgery. This led to a lower body weight in operated animals. In BDC animals, aspartate aminotransferase (AST) levels in plasma were transiently elevated and total bile acid levels were reduced. Alpha1-acid glycoprotein (AGP) in plasma and the concentration of bile components in bile were elevated. Histopathology showed inflammation in the area of the cannulation between the liver and the small intestine. A microarray-based gene expression and RTq-PCR analysis identified altered expression for several genes involved in drug disposition including the down-regulation of cytochrome P450 enzymes. This led to reduced cytochrome P450 content in the liver and lower metabolic activity in microsomes from BDC and sham-operated rats compared with naïve animals. The results of the study suggest that the post-surgical inflammation leads to physiological changes relevant for drug absorption and disposition. These alterations should be accounted for in the interpretation of ADME studies in BDC animals.