Psychopharmacogenomics: A New Tool for the Prescribing Physician

Journal:
July-December 2014 Volume 11(2)

Review Article

Author(s):
Muhammad Waqar Azeem, Charles F. Caley, Salma Malik
Page No:
12

Psychopharmacogenomics: A New Tool for the Prescribing Physician

 

Salma Malik 1 , Charles F. Caley 2, Muhammad Waqar Azeem, 3

1 MD, MS, DFAACAP, Department of Child and Adolescent Psychiatry

Institute of Living/Hartford Hospital, CT, USA

2 PharmD, BCPP, Department of Pharmacy Practice, University of Connecticut School of Pharmacy, Storrs, CT and Burlingame Center for Research and Education, Institute of Living/Hartford Hospital, CT, USA

3 MD, DFAACAP, DFAPA, Albert J. Solnit Children's Center, CT, USA

4 MD, DFAACAP, DFAPA, Yale Child Study Center, Yale University School of Medicine, CT, USA

 

Corresponding author:

Salma Malik, MD, MS, DFACCAP            

Department of Child Psychiatry

Institute of Living/Hartford Hospital, CT, USA

Email: salma.malik@hhchealth.org

 

Disclosure:

1-     Dr Malik has research support from Pfizer, SyneuRX and Sunovian

2-   Dr Caley and Dr Azeem have no disclosures

 

Abstract:

The evolution of personalized medicine has begun, and personalized psychiatry is following the approach of personalized medicine. The US Food and Drug Administration (FDA) reports that there are currently over 100 prescription medications that have pharmacogenomic information in their product labels and approximately 30% of these are psychotropic medications. For these psychotropics, the pharmacogenomic information included within the label addresses genotypes of either CYP2D6 or CYP2C19. This makes our understanding of cytochrome P450 enzyme (CYP450) pharmacogenomics especially important. In addition, a high percentage of psychotropic medications are metabolized by these enzymes. Enzymes that are most relevant to the metabolism of psychotropics include CYP450 1A2, 2B6, 2C9, 2C19, 2D6, and 3A4.

The fields of pharmacogenomics and pharmacogenetics have experienced tremendous development. Polymorphisms in the genes which code for the production of CYP450 enzymes can alter the rate at which affected enzymes can metabolize medications (also referred to as substrates). For each enzyme, a patient may be characterized as being an: extensive (normal) metabolizer, intermediate metabolizer, poor metabolizer, or ultra-rapid metabolizer. Extremes in metabolic rates resulting from gene polymorphisms may contribute to either poor tolerability (poor metabolizers), or to poor efficacy (ultra-rapid metabolizers) when using psychotropics that are dosed in anempirical manner. The capacity to genotype a patient’s CYP450 enzymes is currently available. Therefore knowing the patient’s inherited metabolizer status can be helpful in selecting psychotropic medications that avoid metabolism through a polymorphic pathway, or to adjust a dosing strategy in an effort to avoid poor treatment outcomes when the patient is treated with a medication that is being metabolized through a polymorphic pathway.

This review will focus on the metabolism of psychotropics and important aspects of understanding the genomics of the cytochrome P450 enzymes. This review will also discuss a case scenario which illustrates a process that physicians can use when applying genomic laboratory data to patient care.

 

Key Words:

Cytochrome P450 enzymes, Pharmacogenetics, Pharmacogenomic Testing


 

Introduction:

Clinical Pharmacogenomics attempts to link identifiable genetic variants to the prediction of drug response.1 Historically, psychiatrists have used empirical approaches to prescribe medications using a trial and error process combined with close patient monitoring. Unfortunately with this approach there can be a long wait for the patient and physician to find the right medication that will result in symptom relief. If a selected medication results in an inadequate response following an adequate treatment trial, the physician will then either add, or switch to another, medication and begin the process again. During this process, the patient may either continue to experience distressing symptoms, or be at risk for being over-medicated. Pharmacogenomic testing provides us with an innovative tool to help inform the selection of psychotropic medications for our patients. The practical relevance of genotyping drug metabolism enzymes began in 2004 when FDA approved the AmpliChip CYP 450 Test.2 This genotyping test provides practitioners and patients with a reliable method of identifying common gene variants for the CYP2D6 and 2C19 enzymes.3 Presently, there are many laboratories in the United States that offer CYP450 enzyme genotype testing.4


Cytochrome P450 Overview:

The CYP 450 is a collection of enzymes that are responsible for the oxidative phase 1 metabolism of medications. The nomenclature of the enzymes is genetically based and has no functional implication. This system first assigns a family member, then a subfamily letter, and finally an individual enzyme number(e.g.,2D6,2C9).5 A high percentage of psychotropic medications are metabolized by the cytochrome P450 enzyme system (CYP450; see Table 1). Particularly relevant to psychiatry are CYP450 1A2, 2B6, 2C9, 2C19, 2D6, and 3A4 enzymes. For each of these enzymes, there are 4 distinct metabolizer status’; the rules that determine a patient’s inherited metabolizer status have been described by Black et al: 6

• Ultra-rapid metabolizers (UM): UM represents a metabolic capacity that is greater than normal. Genotypes consistent with UM phenotype include three or more active genes each coding for the production of drug metabolizing enzyme and therefore have increased metabolic capacity. They likely will require an increased dosage due to higher than normal rates of drug metabolism.

• Extensive Metabolizers (EM): EM represents normal metabolic capacity. Genotypes consistent with the EM phenotype include two active forms of the gene producing an enzyme with full drug metabolizing capacity. In general, extensive metabolizers are treated with medications that are substrates for these enzymes following standard dosing practices.

• Intermediate Metabolizers (IM): IM represents decreased (but not absent) metabolic capacity. Genotypes consistent with the IM phenotype are those with only one active form of the gene producing the drug metabolizing enzyme and therefore have reduced metabolic capacity. Patients who have this genotype may require medication doses that are lower than average.

• Poor Metabolizers (PM): PM represents absent metabolic capacity. Genotypes consistent with the PM phenotype are those with genes that code for producing inactive enzyme. These individuals, therefore, are unable to metabolize substrates through the affected enzymatic pathway. Using standard dosing practices, these patients are at increased risk for accumulating the affected medication and drug-induced side effects  or lack of therapeutic effect resulting from failure to generate the active form of the drug.

 

Discussion

In order for a medication to generate the intended therapeutic response for a patient, it must typically be given at a sufficient dose over a sufficient duration of time. For example, when treating major depression in an adolescent patient with citalopram, one typically should give at least X mg/day for at least Y weeks before treatment efficacy is determined. In particular, when dosing any medication, we are attempting to achieve a desirable concentration of that medication at receptor target(s) in the brain so that the patient has the best opportunity to respond. When clinically important gene polymorphisms are present for pertinent CYP450 enzymes, the corresponding alteration in drug metabolism rate and corresponding target site concentrations may potentially lead to poor, and sometimes tragic, treatment outcomes. For example, Sallee et al7 reported the case of a 9 year-old patient diagnosed with Obsessive-Compulsive disorder, Attention Deficit Hyperactivity disorder and Tourette’s disorder who was treated with fluoxetine, methylphenidate and clonidine. Over a ten month period, the patient experienced episodes of disorientation, poor coordination, gastrointestinal distress and low-grade fevers. As time went by, these episodes ultimately lead to the patient having generalized seizures that developed into status epilepticus and cardiac arrest resulting in patient’s death. The ensuing autopsy lead to the discovery of fluoxetine toxicity where a subsequent genotyping revealed that the patient had been a CYP2D6 poor metabolizer. Thus, awareness of a patient’s CYP450 genotpying can have a therapeutic impact. (Table 2 provides a case example that illustrates the interpretation and application of genotyping results.)

 

However, a change in the rate of drug metabolism is not the only potential contributor to poor treatment outcomes. Since drug molecules must interact with receptor targets in order to illicit the intended response, alterations in receptor target genetics may also influence treatment outcomes. One example of this may be seen in the genetic variability that has been reported for the serotonin transporter in cases of major depression and when SSRI antidepressant treatment responsiveness is being considered. A meta-analysis performed by Serretti et al8 supported the findings of other researchers when they concluded that patients who were homozygous for the long-form of the 5-HTTLPR had greater response rates than those patients without this genotype. Therefore, it appears that taking into consideration receptor target genetics may also be important in determining a patient’s treatment outcome.

 

An additional consideration of interpreting and applying genotyping results is to be aware of additional drug therapy that the patient is taking and whether or not any of those medications have effects on CYP450 enzyme activity. In addition to any CYP450 gene polymorphisms a patient may have, the patient may also be taking a medication(s) which may either be an inhibitor or inducer of CYP450 enzyme activity. For example, there are at least five antidepressants that are clinically important CYP450 inhibitors: fluoxetine (2D6 inhibitor), paroxetine (2D6 inhibitor), fluvoxamine (1A2 and 2C19 inhibitor), duloxetine (2D6 inhibitor) and bupropion (2D6 inhibitor). The interplay between CYP450 gene polymorphisms and CYP450 inhibitory effects from co-prescribed medications was illustrated nicely in a case report by Gasche et al9 who described a case of morphine toxicity from codeine treatment in a patient who was genotyped as a CYP2D6 ultra-rapid metabolizer and who was co-prescribed medications that were CYP3A4 inhibitors.

This testing is currently available in the developed countries but psychiatrists and patients from the underdeveloped countries will benefit if it becomes available to improve outcomes. Interested readers should consider reviewing additional information to inform their understanding of this potentially important clinical data for their patient.10-13

Conclusion:

The era of personalized psychiatry has emerged. The best current opportunity for psychiatrists to begin understanding the impact of genetics on the treatment of their patients is through genotyping CYP450 enzymes. Many psychotropic medications take full advantage of this enzyme system, and several of these have genotyping information within their FDA approved product labeling. For each CYP450 enzyme that can be genotyped, patients may be considered to be one of four different metabolizer types – ultra-rapid, extensive, intermediate or poor. Identification of a polymorphic CYP450 enzyme gene gives the psychiatrist a tool that allows them to either consider using a medication that avoids the polymorphic pathway, or it allows them to adjust their dosing strategy if they must use a medication that is metabolized through the polymorphic pathway. Regardless of how the psychiatrist uses this information, the genotyping information does not permit for the accurate prediction of a positive treatment outcome. This is, in part, due to the reality that drug molecules, when present in sufficient concentrations, must interact with receptor targets in order to achieve a therapeutic response. Thus, poor treatment outcomes in this instance may also be due to receptor target polymorphisms. Last, given that there is interest in understanding drug metabolism enzyme activity, psychiatrists should also attempt to understand if other medications, their patients may be taking have a potential impact on CYP450 enzyme activity.

 

 

 


References:

1. Mrazek DA. Psychiatric Pharmacogenomics . New York, NY Oxford University Press; 2010

 

2. http://molecular.roche.com/assays/Pages/AmpliChipCYP450Test.aspx accessed on 9 October 2014

 

3. Mrazek D. Out of the pipeline pharmacogenomic DNA chip. Curr Psychiatr.2005; 4:67–73

 

4. Caley CF. Interpreting and applying CYP450 genomic test results to psychotropic medications. J Pharm Pract 2011;24(5):439–6.

 

5. Wilkinson GR. Drug metabolism and variability among patients in drug response. N Eng J Med. 2005; 352:2211-2221

 

6. Black JL, O’Kane, DJ, Mrazek DA. The impact of CYP allelic variation on antidepressant metabolism: a review. Expert Opin Drug Metab Toxicol. 2007; 3(1):21-31

 

7. Sallee FR, DeVane CL, Ferrell RE. Fluoxetine-related death in a child with cytochrome P-450 2D6 genetic deficiency. J Child Adolesc Psychopharmacol 2000;10(1):27-34.

 

8. Serretti A, Kato M, De Ronchi D, Kinoshita T. Meta-analysis of serotonin transporter gene promoter polymorphism (5-HTTLPR) association with selective serotonin reuptake inhibitor efficacy in depressed patients. Molecular Psychiatry 2007;12:247-57.

 

9. Gasche Y, Daali Y, Fathi M, Chiappe A, Cottini S, Dayer P, Desmeules J. Codeine intoxication associated with ultrarapid CYP2D6 metabolism. NEJM 2004;351:2827-31.

 

10. Westervelt P, Cho K, Bright DR, Kisor DF. Drug-gene interactions: inherent variability in drug maintenacne dose requirements. Pharmacy and Therapeutics 2014;39:630-7.

 

11. The Pharmacogenomics Knowedgebase website, www.pharmgkb.org.

 

12. The Clinical Pharmacogeneitc Implementation Consortium website, www.pharmgkb.org/page/dpwg.

 

13. The Dutch Phemacogeneitcs Working Grop website, www.pharmgkb.org/page/dpwg.