Pharmacogenetics, pharmacogenomics, and cardiovascular therapeutics: the way forward

Statistical design of personalized medicine interventions: the Clarification of Optimal Anticoagulation through Genetics (COAG) trial

Background

There is currently much interest in pharmacogenetics: determining variation in genes that regulate drug effects, with a particular emphasis on improving drug safety and efficacy. The ability to determine such variation motivates the application of personalized drug therapies that utilize a patient's genetic makeup to determine a safe and effective drug at the correct dose. To ascertain whether a genotype-guided drug therapy improves patient care, a personalized medicine intervention may be evaluated within the framework of a randomized controlled trial. The statistical design of this type of personalized medicine intervention requires special considerations: the distribution of relevant allelic variants in the study population; and whether the pharmacogenetic intervention is equally effective across subpopulations defined by allelic variants.

Methods

The statistical design of the Clarification of Optimal Anticoagulation through Genetics (COAG) trial serves as an illustrative example of a personalized medicine intervention that uses each subject's genotype information. The COAG trial is a multicenter, double blind, randomized clinical trial that will compare two approaches to initiation of warfarin therapy: genotype-guided dosing, the initiation of warfarin therapy based on algorithms using clinical information and genotypes for polymorphisms in CYP2C9 and VKORC1; and clinical-guided dosing, the initiation of warfarin therapy based on algorithms using only clinical information.

Results

We determine an absolute minimum detectable difference of 5.49% based on an assumed 60% population prevalence of zero or multiple genetic variants in either CYP2C9 or VKORC1 and an assumed 15% relative effectiveness of genotype-guided warfarin initiation for those with zero or multiple genetic variants. Thus we calculate a sample size of 1238 to achieve a power level of 80% for the primary outcome. We show that reasonable departures from these assumptions may decrease statistical power to 65%.

Conclusions

In a personalized medicine intervention, the minimum detectable difference used in sample size calculations is not a known quantity, but rather an unknown quantity that depends on the genetic makeup of the subjects enrolled. Given the possible sensitivity of sample size and power calculations to these key assumptions, we recommend that they be monitored during the conduct of a personalized medicine intervention.

Trial Registration

clinicaltrials.gov: NCT00839657

Validation and application of a high fidelity mRNA linear amplification procedure for profiling gene expression

The need for microgram quantities of RNA for microarray experiments has hindered application of this novel technology in cell types/tissue samples with limited abundance of RNA. In this study, potential application of T7-based linear RNA amplification was investigated for use in gene expression profiling experiments where starting material is limited. Yield and integrity of amplified antisense RNA (aaRNA), microarray hybridization intensities, and fidelity of differential gene expression detected were determined for arrays generated for unamplified versus amplified RNA from the same homogenous starting pools. Total RNA was extracted from bovine spleen and fetal ovary, serially diluted to concentrations ranging from 2 microg to 500 pg and amplified. Quality and quantity of total input RNA and aaRNA were assessed by spectrophotometry, gel electrophoresis and bioanalyzer. In experiment 1, we determined the optimal amounts of aaRNA generated from 20, 40, 200 ng and 2 microg input total RNA for use in cDNA synthesis, labeling and array hybridization that would yield robust and consistent hybridization signals on a bovine oocyte cDNA microarray. In experiment 2, comparison of microarray hybridization intensities and fidelity of differential gene expression between aaRNA generated from 2, 20 and 40 ng input total RNA versus unamplified RNA (uRNA) were conducted. The hybridization intensities for each of the 7000 spots per slide for microarrays conducted using aaRNA versus uRNA were highly correlated (2 ng = 0.84, 20 ng = 0.88, 40 ng = 0.90; P < 0.01). The false positive rate was low and similar (4.0% versus 4.4%) for arrays done with uRNA and aaRNA. Ninety-seven ESTs were detected as differentially expressed in the fetal ovary versus spleen at > 1.5- or < 0.5-fold using uRNA (P < 0.05). However, the number of genes detected in arrays using aaRNA was approximately 1.5-2.5 times greater than with uRNA. Approximately, 65-70% of differentially expressed genes were common between uRNA and aaRNA arrays. Relative fold-expression (Cy3/Cy5 ratios) for 25 overlapping abundant genes was comparable for uRNA versus aaRNA arrays with 2 and 20 ng total RNA as input. Results demonstrate that T7-based linear amplification of small amounts of input RNA and use of aaRNA in microarray experiments retains fidelity of detection of differential gene expression that is relatively comparable to experiments done with uRNA and provides a potentially viable approach to facilitate gene expression profiling using limited amounts of starting material.

Cardiovascular pharmacogenomics

There is large interpatient variability in the response to drugs, including cardiovascular drugs. Thus, while some patients achieve the desired therapeutic response from their drug therapy, others do not. There is also a subset of patients who will experience adverse effects, which can range from bothersome to life threatening. Research in recent years has provided compelling evidence that in many cases, genetics contributes importantly to this variable drug response. Thus, pharmacogenomics is a field focused on unravelling the genetic determinants of variable drug response. Examples from the literature of genetic associations with drug efficacy and toxicity are described to provide insight into the field, including the roles of genetic variability in drug-metabolizing enzymes and drug targets. There is also a detailed discussion of the experimental approaches used in cardiovascular pharmacogenomics. Current research is largely focused on a limited candidate gene approach, which allows for description of significant genetic associations with variable response, but often does not explain the genetic basis of variable drug response enough to be useful clinically. As such, there is a move towards genome-wide approaches, and the various technologies available to obtain genomic data are discussed. Cardiovascular pharmacogenomics has the potential for leading to improvements in the use of cardiovascular drug therapy, through selection of the most appropriate drug therapy in an individual based on their genetic information. It will probably be a decade or more before genetic information is widely used in drug therapy decisions, but it seems clear that important findings in the area will continue to expand and the experimental approaches will continue to evolve.

Pharmacogenomics and drug response in cardiovascular disorders

There are a total of 17 families of drugs that are used for treating the heterogeneous group of cardiovascular diseases. We propose a comprehensive pharmacogenomic approach in the field of cardiovascular therapy that considers the five following sources of variability: the genetics of pharmacokinetics, the genetics of pharmacodynamics (drug targets), genetics linked to a defined pathology and its corresponding drug therapies, the genetics of physiologic regulation, and environmental–genetic interactions. Examples of the genetics of pharmacokinetics are presented for phase I (cytochromes P450) and phase II (conjugating enzymes) drug-metabolizing enzymes and for phase III drug transporters. The example used to explain the genetics of pharmacodynamics is glycoprotein IIIa and the response to antiplatelet effects of aspirin. Genetics linked to a defined pathology and its corresponding drug therapies is exemplified by ADRB1, ACE, CETP and APOE and drug response in metabolic syndrome. The examples of cytochrome P450s, APOE and ADRB2 in relation to ethnicity, age and gender are presented to describe genetics of physiologic regulation. Finally, environmental–genetic interactions are exemplified by CYP7A1 and the effects of diet on plasma lipid levels, and by APOE and the effects of smoking in cardiovascular disease. We illustrate this five-tiered approach using examples of cardiovascular drugs in relation to genetic polymorphism.

Hydroxychloroquine cardiotoxicity in systemic lupus erythematosus: a report of 2 cases and review of the literature

BACKGROUND

Hydroxychloroquine (HCQ) is extensively used in the long-term treatment of systemic lupus erythematosus (SLE). Although considered by clinicians to be relatively safe, serious side effects have been documented in the literature. Retinotoxicity has received the most attention, whereas neuromyotoxicity and cardiotoxicity have been described in isolated case reports. We present 2 cases of potential cardiotoxicity occurring in patients with SLE while receiving long-term HCQ therapy.

OBJECTIVE

To review the incidence, presentation, and mechanism of serious antimalarial toxicity, and to discuss the impact of HCQ on cardiac health in SLE.

METHODS

The authors reviewed the English-language literature from 1948 to December 2002 using Medline databases.

RESULTS

In addition to our patients, there are 2 published cases of biopsy-proven HCQ cardiotoxicity in the English-language literature. Both occurred in patients with SLE. The literature indicates that antimalarial cardiotoxicity may be of particular importance in patients with SLE given their already increased cardiac risk due to primary heart disease and accelerated atherosclerosis. Endomyocardial biopsy reveals a constellation of findings including vacuolar myopathy, myeloid bodies, and curvilinear bodies.

CONCLUSIONS

As HCQ use among SLE patients increases, clinicians should be alert to the possibility of antimalarial cardiotoxicity. The potential severity and reversibility of this complication underscore the importance of timely diagnosis. The cases presented here, one with biopsy and one without, illustrate the utility of endomyocardial biopsy in HCQ-treated SLE patients with cardiac complaints to ensure accurate diagnosis and appropriate management.