Defining drug disposition determinants: a pharmacogenetic-pharmacokinetic strategy

Current Progress in Pharmacogenetics of Second-Line Antidiabetic Medications: Towards Precision Medicine for Type 2 Diabetes

Precision medicine is a scientific and medical practice for personalized therapy based on patients’ individual genetic, environmental, and lifestyle characteristics. Pharmacogenetics and pharmacogenomics are also rapidly developing and expanding as a key element of precision medicine, in which the association between individual genetic variabilities and drug disposition and therapeutic responses are investigated. Type 2 diabetes (T2D) is a chronic metabolic disorder characterized by hyperglycemia mainly associated with insulin resistance, with the risk of clinically important cardiovascular, neurological, and renal complications. The latest consensus report from the American Diabetes Association and European Association for the Study of Diabetes (ADA-EASD) on the management of T2D recommends preferential use of glucagon-like peptide-1 (GLP-1) receptor agonists, sodium-glucose cotransporter-2 (SGLT2) inhibitors, and some dipeptidyl peptidase-4 (DPP-4) inhibitors after initial metformin monotherapy for diabetic patients with established atherosclerotic cardiovascular or chronic kidney disease, and with risk of hypoglycemia or body weight-related problems. In this review article, we summarized current progress on pharmacogenetics of newer second-line antidiabetic medications in clinical practices and discussed their therapeutic implications for precision medicine in T2D management. Several biomarkers associated with drug responses have been identified from extensive clinical pharmacogenetic studies, and functional variations in these genes have been shown to significantly affect drug-related glycemic control, adverse reactions, and risk of diabetic complications. More comprehensive pharmacogenetic research in various clinical settings will clarify the therapeutic implications of these genes, which may be useful tools for precision medicine in the treatment and prevention of T2D and its complications.

Dissecting the Effect of Genetic Variation on the Hepatic Expression of Drug Disposition Genes across the Collaborative Cross Mouse Strains

A central challenge in pharmaceutical research is to investigate genetic variation in response to drugs. The Collaborative Cross (CC) mouse reference population is a promising model for pharmacogenomic studies because of its large amount of genetic variation, genetic reproducibility, and dense recombination sites. While the CC lines are phenotypically diverse, their genetic diversity in drug disposition processes, such as detoxification reactions, is still largely uncharacterized. Here we systematically measured RNA-sequencing expression profiles from livers of 29 CC lines under baseline conditions. We then leveraged a reference collection of metabolic biotransformation pathways to map potential relations between drugs and their underlying expression quantitative trait loci (eQTLs). By applying this approach on proximal eQTLs, including eQTLs acting on the overall expression of genes and on the expression of particular transcript isoforms, we were able to construct the organization of hepatic eQTL-drug connectivity across the CC population. The analysis revealed a substantial impact of genetic variation acting on drug biotransformation, allowed mapping of potential joint genetic effects in the context of individual drugs, and demonstrated crosstalk between drug metabolism and lipid metabolism. Our findings provide a resource for investigating drug disposition in the CC strains, and offer a new paradigm for integrating biotransformation reactions to corresponding variations in DNA sequences.

A UPLC-MS/MS approach for simultaneous determination of eight flavonoids in rat plasma, and its application to pharmacokinetic studies of Fu-Zhu-Jiang-Tang tablet in rats

The purpose of this study is to establish and validate a UPLC-MS/MS approach to determine eight flavonoids in biological samples and apply the method to pharmacokinetic study of Fu-Zhu-Jiang-Tang tablet. A Waters BEH C₁₈ UPLC column was employed with methanol/0.1% formic acid-water as mobile phases. The mass analysis was carried out in a triple quadrupole mass spectrometer using multiple reaction monitoring with negative scan mode. A one-step protein precipitation by methanol was used to extract the analytes from blood. Eight major flavonoids were selected as markers. Our results showed that calibration curves for 3'-hydroxypuerarin, mirificin, puerarin, 3'-methoxypuerarin, daidzin, rutin, astragalin and daidzein displayed good linear regression (r²  > 0.9986). The intra-day and inter-day precisions (RSD) of the eight flavonoids at high, medium and low levels were <8.03% and the bias of the accuracies ranged from -5.20 to 6.75%.The extraction recoveries of the eight flavonoids were from 91.4 to 100.5% and the matrix effects ranged from 89.8 to 103.8%. The validated approach was successfully applied to a pharmacokinetic study in Sprague-Dawley rats after oral administration of FZJT tablet. Double peaks were emerged in curves of mean plasma concentration for 3'-methoxypuerarin, which was reported for the first time.

Preclinical discovery of candidate genes to guide pharmacogenetics during phase I development: the example of the novel anticancer agent ABT-751

OBJECTIVE

ABT-751, a novel orally available antitubulin agent, is mainly eliminated as inactive glucuronide (ABT-751G) and sulfate (ABT-751S) conjugates. We performed a pharmacogenetic investigation of ABT-751 pharmacokinetics using in-vitro data to guide the selection of genes for genotyping in a phase I trial of ABT-751.

METHODS

UDP-glucuronosyltransferase (UGT) and sulfotransferase (SULT) enzymes were screened for ABT-751 metabolite formation in vitro. Forty-seven cancer patients treated with ABT-751 were genotyped for 21 variants in these genes.

RESULTS

UGT1A1, UGT1A4, UGT1A8, UGT2B7, and SULT1A1 were found to be involved in the formation of inactive ABT-751 glucuronide (ABT-751G) and sulfate (ABT-751S). SULT1A1 copy number (>2) was associated with an average 34% increase in ABT-751 clearance (P=0.044), an 18% reduction in ABT-751 AUC (P=0.045), and a 50% increase in sulfation metabolic ratios (P=0.025). UGT1A8 rs6431558 was associated with a 28% increase in glucuronidation metabolic ratios (P=0.022), and UGT1A4*2 was associated with a 65% decrease in ABT-751 C trough (P=0.009).

CONCLUSION

These results might represent the first example of a clinical pharmacokinetic effect of the SULT1A1 copy number variant on the clearance of a SULT1A1 substrate. A-priori selection of candidate genes guided by in-vitro metabolic screening enhanced our ability to identify genetic determinants of interpatient pharmacokinetic variability.

Stem cells in pediatric cardiology

The ability to reprogram virtually any cell of human origin to behave like embryonic or pluripotent stem cells is a major breakthrough in stem cell biology. Human induced pluripotent stem cells (iPSC) provide a unique opportunity to study "disease in a dish" within a defined genetic and environmental background. Patient-derived iPSCs have been successfully used to model cardiomyopathies, rhythm disorders and vascular disorders. They also provide an exciting opportunity for drug discovery and drug repurposing for disorders with a known molecular basis including childhood onset heart disease, particularly cardiac genetic disorders. The review will discuss their use in drug discovery, efficacy and toxicity studies with emphasis on challenges in pediatric-focused drug discovery. Issues that will need to be addressed in the coming years include development of maturation protocols for iPSC-derived cardiac lineages, use of iPSCs to study not just cardiac but extra-cardiac phenotypes in the same patient, scaling up of stem cell platforms for high-throughput drug screens, translating drug testing results to clinical applications in the paradigm of personalized medicine, and improving both the efficiency and the safety of iPSC-derived lineages for future stem cell therapies.

Stem cells in pediatric cardiology

The ability to reprogram virtually any cell of human origin to behave like embryonic or pluripotent stem cells is a major breakthrough in stem cell biology. Human induced pluripotent stem cells (iPSC) provide a unique opportunity to study "disease in a dish" within a defined genetic and environmental background. Patient-derived iPSCs have been successfully used to model cardiomyopathies, rhythm disorders and vascular disorders. They also provide an exciting opportunity for drug discovery and drug repurposing for disorders with a known molecular basis including childhood onset heart disease, particularly cardiac genetic disorders. The review will discuss their use in drug discovery, efficacy and toxicity studies with emphasis on challenges in pediatric-focused drug discovery. Issues that will need to be addressed in the coming years include development of maturation protocols for iPSC-derived cardiac lineages, use of iPSCs to study not just cardiac but extra-cardiac phenotypes in the same patient, scaling up of stem cell platforms for high-throughput drug screens, translating drug testing results to clinical applications in the paradigm of personalized medicine, and improving both the efficiency and the safety of iPSC-derived lineages for future stem cell therapies.

e-PKGene: a knowledge-based research tool for analysing the impact of genetics on drug exposure

e-PKGene (www.pharmacogeneticsinfo.org) is a manually curated knowledge product developed in the Department of Pharmaceutics at the University of Washington, USA. The tool integrates information from the literature, public repositories, reference textbooks, product prescribing labels and clinical review sections of new drug approval packages. The database's easy-to-use web portal offers tools for visualisation, reporting and filtering of information. The database helps scientists to mine pharmacokinetic and pharmacodynamic information for drug-metabolising enzymes and transporters, and provides access to available quantitative information on drug exposure contained in the literature. It allows in-depth analysis of the impact of genetic variants of enzymes and transporters on pharmacokinetic responses to drugs and metabolites. This review gives a brief description of the database organisation, its search functionalities and examples of use.

Pharmacokinetic/ pharmacodynamic-driven drug development

The drug discovery and development enterprise, traditionally an industrial juggernaut, has spanned into the academic arena that is partially motivated by the National Institutes of Health Roadmap highlighting translational science and medicine. Because drug discovery and development represents a pipeline of basic to clinical investigations, it meshes well with the "bench to the bedside" prime directive of translational medicine. The renewed interest in drug discovery and development in academia provides an opportunity to rethink the hiearchary of studies with the hope of improving the staid approaches that have been criticized for lacking innovation. One area that has received limited attention concerns the use of pharmacokinetic and pharmacodynamic studies in the drug-development process. Using anticancer drug development as a focus, this review will address past and current deficencies in how pharmacokinetic/pharmacodynamic studies are conducted and offer new strategies that might bridge the gap between preclinical and clinical trials.

Improved preclinical safety assessment using micro-BAL devices: the potential impact on human discovery and drug attrition

Hepatotoxicity is often unpredictable in the early phase of drug discovery and leads to drug attrition in preclinical and clinical development. Here, we discuss the conventional preclinical liver models that do not mimic in vivo livers. We focus on key components such as new sources of hepatocyte-derived human stem cells, enhanced direct oxygenation, defined biocompatibility nanoscaffolds, organotypical cellular models, dynamic culture, and metabolite status inside and outside the cell for effective configuration for the development of a bioartificial liver (BAL) device to mimic the in vivo liver microenvironment. The potential for development of BAL devices could open up new avenues in: (i) hepatotoxicity assessment for selecting drug candidates during preclinical screening; and (ii) therapeutic approaches for liver cell therapy at the clinical stage.

Update on the Genetic Polymorphisms of Drug-Metabolizing Enzymes in Antiepileptic Drug Therapy

Genetic polymorphisms in the genes that encode drug-metabolizing enzymes are implicated in the inter-individual variability in the pharmacokinetics and pharmaco-dynamics of antiepileptic drugs (AEDs). However, the clinical impact of these polymorphisms on AED therapy still remains controversial. The defective alleles of cytochrome P450 (CYP) 2C9 and/or CYP2C19 could affect not only the pharmacokinetics, but also the pharmacodynamics of phenytoin therapy. CYP2C19 deficient genotypes were associated with the higher serum concentration of an active metabolite of clobazam, N-desmethylclobazam, and with the higher clinical efficacy of clobazam therapy than the other CYP2C19 genotypes. The defective alleles of CYP2C9 and/or CYP2C19 were also found to have clinically significant effects on the inter-individual variabilities in the population pharmacokinetics of phenobarbital, valproic acid and zonisamide. EPHX1 polymorphisms may be associated with the pharmacokinetics of carbamazepine and the risk of phenytoin-induced congenital malformations. Similarly, the UDP-glucuronosyltransferase 2B7 genotype may affect the pharmacokinetics of lamotrigine. Gluthatione S-transferase null genotypes are implicated in an increased risk of hepatotoxicity caused by carbamazepine and valproic acid. This article summarizes the state of research on the effects of mutations of drug-metabolizing enzymes on the pharmacokinetics and pharmacodynamics of AED therapies. Future directions for the dose-adjustment of AED are discussed.

Human pluripotent stem cells in drug discovery and predictive toxicology

Human pluripotent stem cells are a biological resource most commonly considered for their potential in cell therapy or, as it is now called, ‘regenerative medicine’. However, in the near future, their most important application for human health may well be totally different, as they are more and more envisioned as opening new routes for pharmacological research. Pluripotent stem cells indeed possess the main attributes that make them theoretically fully equipped for the development of cell-based assays in the fields of drug discovery and predictive toxicology. These cells are characterized by: (i) an unlimited self-renewal capacity, which make them an inexhaustible source of cells; (ii) the potential to differentiate into any cell phenotype of the body at any stage of differentiation, with probably the notable exception, however, of the most mature forms of many lineages; and (iii) the ability to express genotypes of interest via the selection of donors, whether they be of embryonic origin, through pre-implantation genetic diagnosis, or adults, by genetic reprogramming of somatic cells, so-called iPSCs (induced pluripotent stem cells). In the present review, we provide diverse illustrations of the use of pluripotent stem cells in drug discovery and predictive toxicology, using either human embryonic stem cell lines or iPSC lines.

Systematic genetic and genomic analysis of cytochrome P450 enzyme activities in human liver

Liver cytochrome P450s (P450s) play critical roles in drug metabolism, toxicology, and metabolic processes. Despite rapid progress in the understanding of these enzymes, a systematic investigation of the full spectrum of functionality of individual P450s, the interrelationship or networks connecting them, and the genetic control of each gene/enzyme is lacking. To this end, we genotyped, expression-profiled, and measured P450 activities of 466 human liver samples and applied a systems biology approach via the integration of genetics, gene expression, and enzyme activity measurements. We found that most P450s were positively correlated among themselves and were highly correlated with known regulators as well as thousands of other genes enriched for pathways relevant to the metabolism of drugs, fatty acids, amino acids, and steroids. Genome-wide association analyses between genetic polymorphisms and P450 expression or enzyme activities revealed sets of SNPs associated with P450 traits, and suggested the existence of both cis-regulation of P450 expression (especially for CYP2D6) and more complex trans-regulation of P450 activity. Several novel SNPs associated with CYP2D6 expression and enzyme activity were validated in an independent human cohort. By constructing a weighted coexpression network and a Bayesian regulatory network, we defined the human liver transcriptional network structure, uncovered subnetworks representative of the P450 regulatory system, and identified novel candidate regulatory genes, namely, EHHADH, SLC10A1, and AKR1D1. The P450 subnetworks were then validated using gene signatures responsive to ligands of known P450 regulators in mouse and rat. This systematic survey provides a comprehensive view of the functionality, genetic control, and interactions of P450s.

Overview of pharmacogenetics

Pharmacogenetics is the study of relationships between genetic variation and inter-individual differences with respect to drug response. As the field has matured over the past 15 years, a remarkable diversity of pathways, variation types, and mechanisms have been found to be relevant pharmacogenetic factors. Today, pharmacogenetics is becoming more important in pharmacology for target validation, lead optimization, and understanding of idiosyncratic toxicity. This unit provides an overview of the history of pharmacogenetics and current research applications in drug discovery, as well as a discussion of research quality issues relevant for human subjects research in the pharmacogenetics laboratory.

Pharmacogenetics: from description to prediction

Many of the complexities of human drug response are sufficiently well understood to transform the field of pharmacogenetics from a descriptive science to a predictive science. Clinical application of these markers is currently limited by lack of knowledge about the effects of modifying genes, about their prevalence and risk contribution in different ethnogeographic populations, and by fragmentary information about how genetic factors interact with physiologic or pathologic and other environmental factors. Nevertheless, progress has been notable, as exemplified in the identification of genetic markers predictive of pharmacokinetic variation, and in markers predictive of outcome and therapeutic benefit in the treatment of cancer.

PhRMA white paper on ADME pharmacogenomics

Pharmacogenomic (PGx) research on the absorption, distribution, metabolism, and excretion (ADME) properties of drugs has begun to have impact for both drug development and utilization. To provide a cross-industry perspective on the utility of ADME PGx, the Pharmaceutical Research and Manufacturers of America (PhRMA) conducted a survey of major pharmaceutical companies on their PGx practices and applications during 2003-2005. This white paper summarizes and interprets the results of the survey, highlights the contributions and applications of PGx by industrial scientists as reflected by original research publications, and discusses changes in drug labels that improve drug utilization by inclusion of PGx information. In addition, the paper includes a brief review on the clinically relevant genetic variants of drug-metabolizing enzymes and transporters most relevant to the pharmaceutical industry.