Pharmacogenomics and addiction to opiates

OPRM1 influence on and effectiveness of an individualized treatment plan for prescription opioid use disorder patients

Screening for opioid use disorder should be considered in chronic non-cancer pain (CNCP) patients with long-term use of opioids. The aim of our study was to assess the effectiveness of an individualized treatment plan (ITP) for prescription opioid dependence that included screening of pharmacogenetic markers. An observational prospective study was performed using prescription opioid-dependent CNCP outpatients (n = 88). Patients were divided into nonresponders, responders, or high responders according to their response to the ITP. Genotyping of OPRM1 (A118G), OPRD1 (T921C), COMT (G472A), ABCB1 (C3435T), and ARRB2 (C8622T) was performed by real-time PCR. Our ITP achieved a significant reduction of the morphine equivalent daily dose (MEDD) in 64% of responders, including 33% of high responders. Nonopioid medication or buprenorphine use was significantly higher at final versus basal visit. 118-AA OPRM1 patients required significantly lower MEDD at basal and final visits. Our ITP showed effectiveness and security in reducing MEDD in opioid-dependent patients, with good conversion to buprenorphine that was more pronounced in 118-AA OPRM1 patients.

Searching for evidence of genetic mediation of opioid withdrawal by opioid receptor gene polymorphisms

BACKGROUND

Previous research has identified many genetic polymorphisms that appear to mediate the effects of opioid drugs. However, the relationship between genetic polymorphisms and the severity of opioid withdrawal has not yet been characterized.

METHODS

Data were collected from 48 daily heroin users who previously completed a standardized abstinence-induced or naloxone-precipitated withdrawal procedure to assess opioid dependence. The total withdrawal severity score (based on the COWS) from this procedure was correlated with genotype information for variants of OPRM1 (rs1799971; rs6848893), OPRD1 (rs10753331; rs2234918; rs581111; rs678849; rs1042114), and OPRK1 (rs6473797; rs963549). Genotype and other participant variables (age, race, sex, duration of drug use, concomitant drug use, route of opioid use) were used as predictors.

RESULTS

Of these variables, those individually correlated with a p < .2 were entered into a multivariate regression in order to identify the most predictive model. Three polymorphisms were significantly associated with severity of abstinence-induced withdrawal (n = 19) in the bivariate analysis (R): OPRM1 rs6848893 (.45), OPRD1 rs10753331 (.03), and rs678849 (.08), but only the OPRM1 rs6848893 was retained in the multivariate model (p < .001). For participants who underwent naloxone-precipitated withdrawal (n = 29) only OPRK1 rs6473797 (-.23) was significant in the bivariate analysis, though not retained in the final model.

CONCLUSIONS

These data provide evidence for genetic modulation of opioid withdrawal severity, and suggest there may be qualitative differences between withdrawal resulting from abstinence and antagonist-precipitated withdrawal.

SCIENTIFIC SIGNIFICANCE

This study demonstrates the importance and feasibility of incorporating genetic information into clinical addiction research.

The CYP2D6 gene determines oxycodone's phenotype-specific addictive potential: implications for addiction prevention and treatment

We propose a hypothesis for predicting addictive potential of oral drugs, in general, and oxycodone's addictive potential, in particular. We hypothesize that a patient's CYP2D6 phenotype determines oxycodone's addictive potential, in part, via genotype-specific regulation of its clearance; although, other possible modulators of oxycodone's addiction potential exist. For example, brain CYPs related to phenotype could be involved. To pilot test our hypothesis, we used a mathematical model which postulates that oxycodone's addictive potential is given by: LAP=E/(ka/ke), where LAP represents addictive potential, E represents euphoric potency, ka is the absorption rate constant of drug from the gastrointestinal tract, and ke is the systemic elimination rate constant of drug by all processes responsible for its removal from plasma. Using CYP2D6 phenotype-specific oxycodone pharmacokinetic parameter values derived from published data, our hypothesis predicted that the canonical order of oxycodone's addictive potential was UM>EM>IM>PM, with corresponding LAP values of 0.24, 0.21, 0.17, and 0.15 respectively. Our hypothesis about oxycodone's addictive potential may provide a unifying approach useful for both personalized medicine dosing and predicting addictive potential of oral drugs in humans, since it is based on both oxycodone's pharmacogenetics and pharmacokinetics.

Involvement of the mu-opioid receptor gene polymorphism A118G in the efficacy of detoxification of alcohol dependent patients

INTRODUCTION

The A118G (rs 1799971) polymorphism in the mu-opioid receptor gene (OPRM1) has been reported to be associated with alcohol addiction.

METHODS

In this study 109 patients diagnosed with alcohol dependence in accordance with DMS-IV criteria and 95 healthy subjects were enrolled and everyone has been genotyped.

RESULTS

The percentage of alcoholic patients with higher than normal gamma-glutamyl transferase (GGT) levels significantly decreased after six months of standard detoxification treatment, both in patients with A/A genotype and in the other ones with A/G genotype. However, the percentage of alcohol dependent patients with the A/A genotype recorded a slight decrease of the GGT and the mean corpuscolar volume of erythrocytes (MCV) combination marker after six months of therapy (30% vs 12%), while subjects with the A/G genotype showed no variation.

CONCLUSION

This finding suggests that alcohol dependent patients with the A/A genotype could have a faster restoration of their liver function than those ones with the A/G genotype: it might be possible that the presence of G allele confers on these patients a reduced ability in abstaining from drinking alcohol.

Dynamic risk factors in the misuse of opioid analgesics

OBJECTIVE

Identify the risk factors for prescription opioid misuse among patients taking prescription opioids to deal with chronic pain.

METHODS

We examined the literature for a variety of dynamic risk factors associated with opioid misuse among the chronic pain population in order to present a narrative review. Considered were: taking single or multiple opioids, pain intensity, mental health disorders, including a history of preadolescent sexual abuse, personal and familial history of substance abuse, a history of legal problems, being a crime victim, drug-seeking behaviors, drug craving, and age.

RESULTS

A variety of risk factors have been studied in the literature. Risk factors in chronic opioid therapy patients are dynamic in that they can change with disease progression, tolerance, changes in pain quality, mental health, comorbidities, other drug therapies or drug interactions, and changes in the patient's lifestyle.

CONCLUSION

Opioid analgesic therapy must be tailored to carefully monitor all patients in order to minimize misuse and abuse, since the risk is constant and dynamic and therefore every patient is at some degree of risk for opioid misuse.

Targeting treatments for alcohol dependence: the pharmacogenetics of naltrexone

Alcohol dependence is one of the leading causes of morbidity worldwide, yet only a minority of those afflicted engages in treatment. While increasing access to treatment is an important public health approach, increasing the success of treatment is also likely to lead to greater engagement. However, alcohol dependence is a complex disorder likely to consist of several biological subtypes. Recent evidence from a number of different studies has suggested that genetic variation in the mu-opioid receptor has a significant influence on clinical presentation of alcohol problems and response to treatment with an opioid antagonist. Most notably, the A118G polymorphism of the mu-receptor gene has been demonstrated to predict clinical response to naltrexone in alcohol-dependent individuals. This article reviews the biological correlates and outlines a scientific agenda for better understanding the role of opioid neurotransmission in the etiology, maintenance and treatment of alcohol dependence.

Biological research on drug abuse and addiction in Hispanics: current status and future directions

Impressive progress has been made in the understanding of biological contributions to drug abuse and addiction. An area that has only recently begun to receive attention is potential ethnic and racial differences in biological systems that contribute to, or protect from, problem drug use. This article reviews recent research on drug abuse and addiction in Hispanics in which biological questions have been addressed, including work on genes, gene products (proteins), physiology and pharmacotherapy. Taken together, work to date suggests that there are both similarities and differences between Hispanics and other ethnic groups in biological factors related to drug abuse and addiction. Although the results are intriguing, relatively few studies have been done, and those that have been done have often been inconclusive due to low numbers of Hispanic subjects. Moreover, studies have often failed to recognize the complexity and heterogeneity of Hispanic populations in the United States and around the world. After reviewing the current status of the field, recommendations are given for future research in both humans and relevant animal models that will lead to a better understanding of drug abuse and addiction in Hispanics.

Sweet preference predicts mood altering effect of and impaired control over eating sweet foods

The purpose of the present study was to examine association between hedonic response to sweet taste and a mood altering effect associated with eating sweet foods and impaired control over eating sweets. Participants (n=163, 39% males) rated a series of sucrose solutions for intensity of sweetness and palatability and completed a newly developed 12-item Sweet Taste Questionnaire (STQ). It was shown that STQ identifies two factors in the individual's attitude towards sweet foods: sensitivity to the mood altering effect of sweets and impaired control over eating sweet foods. Individuals preferring the taste of the strongest offered sucrose concentration reported a stronger mood altering effect associated with eating of sweet foods and were more likely to have an impaired control over eating sweets than the rest of the group. Women generally had higher scores on both factors compared to men. The results of the present study support the hypothesis that hedonic response to sweet taste is associated with elevated sensitivity to mood altering effects of sweet foods and impaired control over eating sweets.

Pharmacotherapy for alcohol dependence: anticraving medications for relapse prevention

Alcohol dependence is a chronic disorder that results from a variety of genetic, psychosocial, and environmental factors. Relapse prevention for alcohol dependence has traditionally involved psychosocial and psychotherapeutic interventions. Pharmacotherapy, however, in conjunction with behavioral therapy, is generating interest as another modality to prevent relapse and enhance abstinence. Naltrexone and acamprosate are at the forefront of the currently available pharmacological options. Naltrexone is an opioid receptor antagonist and is thought to reduce the rewarding effect of alcohol. Acamprosate normalizes the dysregulation of N-methyl-D- aspartate (NMDA)-mediated glutamatergic excitation that occurs in alcohol withdrawal and early abstinence. These different mechanisms of action and different target neurotransmitter systems may endow the two drugs with efficacy for different aspects of alcohol use behavior. Since not all patients seem to benefit from naltrexone and acamprosate, there are ongoing efforts to improve the treatment outcomes by examining the advantages of combined pharmacotherapy and exploring the variables that might predict the response of the medications. In addition, novel medications are being investigated to assess their efficacy in preventing relapse and increasing abstinence.

Symbiotic relationship of pharmacogenetics and drugs of abuse

Pharmacogenetics/pharmacogenomics is the study of how genetic variation affects pharmacology, the use of drugs to treat disease. When drug responses are predicted in advance, it is easier to tailor medications to different diseases and individuals. Pharmacogenetics provides the tools required to identify genetic predictors of probable drug response, drug efficacy, and drug-induced adverse events-identifications that would ideally precede treatment decisions. Drug abuse and addiction genetic data have advanced the field of pharmacogenetics in general. Although major findings have emerged, pharmacotherapy remains hindered by issues such as adverse events, time lag to drug efficacy, and heterogeneity of the disorders being treated. The sequencing of the human genome and high-throughput technologies are enabling pharmacogenetics to have greater influence on treatment approaches. This review highlights key studies and identifies important genes in drug abuse pharmacogenetics that provide a basis for better diagnosis and treatment of drug abuse disorders.

A genetic association study of the mu opioid receptor and severe opioid dependence

OBJECTIVES

Twin, family and adoption studies have suggested that vulnerability to opioid dependence may be a partially inherited trait (Cadoret et al., 1986; Merikangas et al., 1998; Tsuang et al., 1998, 2001). Studies using animal models also support a role for genetic factors in opioid dependence, and point to a locus of major effect on mouse chromosome 10 (Berrettini et al., 1994; Alexander et al., 1996), which harbors the mu opioid receptor gene (Mor1) (Kozak et al., 1994). The gene encoding the human mu opioid receptor (OPRM1) is thus an obvious candidate gene for contributing to opioid dependence. A recent report (Hoehe et al., 2000) found a significant association between a specific combination of OPRM1 single nucleotide polymorphisms (SNPs) and substance dependence.

METHODS

In the current study, we genotyped 213 subjects with severe opioid dependence (89 African-Americans, 124 European-Americans) and 196 carefully screened "supercontrol" subjects (96 African-Americans, 100 European-Americans) at five SNPs residing in the OPRM1 gene. The polymorphisms include three in the promoter region (T-1793A, -1699T insertion and A-1320G) and two in exon 1 (C+17T [Ala6Val] and A+118G [Asp40Asn]).

RESULTS

Statistical analysis of the allele frequency differences between opioid-dependent and control subjects for each of the polymorphisms studied yielded P values in the range of 0.444-1.000. Haplotype analysis failed to identify any specific combination of SNPs associated with the phenotype.

CONCLUSIONS

Despite reasonable statistical power we found no evidence of association between the five mu opioid receptor polymorphisms studied and severe opioid dependence in our sample. There were, however, significant allele frequency differences between African-Americans and European-Americans for all five polymorphisms, irrespective of drug-dependent status. Linkage disequilibrium analysis of the African-American genotypes indicated linkage disequilibrium (P<0.0001) across the five-polymorphism, 1911 base pair region. In addition, only four haplotypes of these five polymorphisms are predicted to exist in African-Americans.

A functional polymorphism of the mu-opioid receptor gene is associated with naltrexone response in alcohol-dependent patients

This study examined the association between two specific polymorphisms of the gene encoding the mu-opioid receptor and treatment outcomes in alcohol-dependent patients who were prescribed naltrexone or placebo. A total of 82 patients (71 of European descent) who were randomized to naltrexone and 59 who were randomized to placebo (all of European descent) in one of three randomized, placebo-controlled clinical trials of naltrexone were genotyped at the A(+118)G (Asn40Asp) and C(+17)T (Ala6Val) SNPs in the gene encoding the mu-opioid receptor (OPRM1). The association between genotype and drinking outcomes was measured over 12 weeks of treatment. In subjects of European descent, individuals with one or two copies of the Asp40 allele treated with naltrexone had significantly lower rates of relapse (p=0.044) and a longer time to return to heavy drinking (p=0.040) than those homozygous for the Asn40 allele. There were no differences in overall abstinence rates (p=0.611), nor were there differences in relapse rates or abstinence rates between the two genotype groups among those assigned to placebo. These preliminary results are consistent with prior literature demonstrating that the opioid system is involved in the reinforcing properties of alcohol and that allelic variation at OPRM1 is associated with differential response to a mu-receptor antagonist. If replicated, these results would help to identify alcohol-dependent individuals who may be most likely to respond to treatment with naltrexone.

Education: Teaching pharmacogenomics to prepare future physicians and researchers for personalized medicine

The vision of personalized medicine, the practice of medicine where each patient receives the most appropriate medical treatments and the most fitting dosage and combination of drugs based on his or her genetic make-up, seems to become more realistic as our knowledge about the human genome rapidly expands. We already know the reason for many types of adverse drug reactions, which are often related to polymorphic gene alleles of drug metabolizing enzymes. Moreover, insight into reasons for poor drug efficacy, often related to single nucleotide polymorphisms or larger polymorphisms in genes encoding drug target proteins, has been gained. There is a growing need to incorporate this increasingly complex body of knowledge to the standard curriculum of medical schools, so that the forthcoming generation of clinicians and researchers will be familiar with the latest developments in pharmacogenomics and medical bioinformatics, and will be capable of providing patients with the expected benefits of personalized medicine.

Genotyping of drug targets: a method to predict adverse drug reactions?

In the last decades, advances in molecular biology have led to modern pharmacogenetics, which started as a science that focused on investigating drug metabolising enzymes and genetic determinants of pharmacokinetic variability. As more evidence has become available on the structure of drug targets and the genes coding for them, increasing attention has been directed towards pharmacodynamic explanations of variability in therapeutic response as well as in the risk for adverse drug reactions. Traditionally, genetic drug safety research has focused on variations in single genes whose functions are known to be related to given adverse drug reactions. A few such examples, malignant hyperthermia, the long QT syndrome, venous thromboembolic disease, tardive dyskinesia, and drug addiction, are presented in this article. In the future, results from the Human Genome Project together with tools such as DNA microarray technology, high-output screening systems and advanced bioinformatics, will permit a more thorough elucidation than is currently possible of the genetic components of adverse drug reactions. By screening for a large number of single nucleotide polymorphisms (SNPs), SNP patterns associated with adverse drug reactions can be discovered even though the functions of the SNPs as such are completely unknown. On the basis of these findings, it can be expected that pharmacogenetic research will identify situations where a drug should be avoided in certain individuals in order to reduce the risk for adverse drug reactions. If so, it will be feasible to use molecular diagnostics to select drugs that are safe for the individual patient.

Ibogaine signals addiction genes and methamphetamine alteration of long-term potentiation

The mapping of the human genetic code will enable us to identify potential gene products involved in human addictions and diseases that have hereditary components. Thus, large-scale, parallel gene-expression studies, made possible by advances in microarray technologies, have shown insights into the connection between specific genes, or sets of genes, and human diseases. The compulsive use of addictive substances despite adverse consequences continues to affect society, and the science underlying these addictions in general is intensively studied. Pharmacological treatment of drug and alcohol addiction has largely been disappointing, and new therapeutic targets and hypotheses are needed. As the usefulness of the pharmacotherapy of addiction has been limited, an emerging potential, yet controversial, therapeutic agent is the natural alkaloid ibogaine. We have continued to investigate programs of gene expression and the putative signaling molecules used by psychostimulants such as amphetamine in in vivo and in vitro models. Our work and that of others reveal that complex but defined signal transduction pathways are associated with psychostimulant administration and that there is broad-spectrum regulation of these signals by ibogaine. We report that the actions of methamphetamine were similar to those of cocaine, including the propensity to alter long-term potentiation (LTP) in the hippocampus of the rat brain. This action suggests that there may be a "threshold" beyond which the excessive brain stimulation that probably occurs with compulsive psychostimulant use results in the occlusion of LTP. The influence of ibogaine on immediate early genes (IEGs) and other candidate genes possibly regulated by psychostimulants and other abused substances requires further evaluation in compulsive use, reward, relapse, tolerance, craving and withdrawal reactions. It is therefore tempting to suggest that ibogaine signals addiction gene products.

Endogenous opiates: 2000

This paper is the twenty-third installment of the annual review of research concerning the opiate system. It summarizes papers published during 2000 that studied the behavioral effects of the opiate peptides and antagonists, excluding the purely analgesic effects, although stress-induced analgesia is included. The specific topics covered this year include stress; tolerance and dependence; learning, memory, and reward; eating and drinking; alcohol and other drugs of abuse; sexual activity, pregnancy, and development; mental illness and mood; seizures and other neurological disorders; electrical-related activity; general activity and locomotion; gastrointestinal, renal, and hepatic function; cardiovascular responses; respiration and thermoregulation; and immunological responses.