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Haupt LM, Haywood A, Sutherland HG, Yu C, Albury CL, Pharasi A, Zunk M, George R, Griffiths LR, Good P, Hardy J. The effects of OPRM1 118A>G on methadone response in pain management in advanced cancer at end of life. Sci Rep 2024; 14:3411. [PMID: 38341456 PMCID: PMC10858860 DOI: 10.1038/s41598-024-54009-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Accepted: 02/07/2024] [Indexed: 02/12/2024] Open
Abstract
Cancer pain is the most feared symptom at end of life. Methadone has advantages over other opioids but is associated with significant variability in clinical response, making dosing challenging in practice. OPRM1 is the most studied pharmacogene associated with the pharmacodynamics of opioids, however reports on the association of the A118G polymorphism on opioid dose requirements are conflicting, with no reports including methadone as the primary intervention. This association study on OPRM1 A118G and response to methadone for pain management, includes a review of this genetic factor's role in inter-patient variability. Fifty-four adult patients with advanced cancer were recruited in a prospective, multi-centre, open label dose individualization study. Patient characteristics were not shown to influence methadone response, and no significant associations were observed for methadone dose or pain score. The findings of our review of association studies for OPRM1 A118G in advanced cancer pain demonstrate the importance of taking ancestry into account. While our sample size was small, our results were consistent with European populations, but in contrast to studies in Chinese patients, where carriers of the A118G polymorphism were associated with higher opioid dose requirements. Pharmacogenetic studies in palliative care are challenging, continued contribution will support future genotype-based drug dosing guidelines.
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Affiliation(s)
- Larisa M Haupt
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia.
- ARC Training Centre for Cell and Tissue Engineering Technologies, Queensland University of Technology (QUT), Brisbane, Australia.
- Max Planck Queensland Centre for the Materials Sciences of Extracellular Matrices, Brisbane, Australia.
| | - Alison Haywood
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, Australia.
- Mater Research Institute-The University of Queensland, Brisbane, Australia.
| | - Heidi G Sutherland
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Chieh Yu
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
- Department of Cell and Tissue Biology, University of California, San Francisco, USA
| | - Cassie L Albury
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Anushka Pharasi
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, Australia
| | - Mathew Zunk
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, Australia
| | - Rani George
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast, Australia
- Cancer Trials Unit, Division of Cancer Services, Metro South Health, Brisbane, Australia
| | - Lyn R Griffiths
- Centre for Genomics and Personalised Health, Genomics Research Centre, School of Biomedical Sciences, Queensland University of Technology, Brisbane, Australia
| | - Phillip Good
- Mater Research Institute-The University of Queensland, Brisbane, Australia
- Department of Palliative Care, St Vincent's Private Hospital, Brisbane, Australia
| | - Janet Hardy
- Mater Research Institute-The University of Queensland, Brisbane, Australia
- Department of Palliative and Supportive Care, Mater Health, Brisbane, Australia
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Characterizing OPRM1 DNA methylation in prescription opioid users with chronic musculoskeletal pain. Pain Rep 2022; 7:e1046. [PMID: 36447952 PMCID: PMC9699511 DOI: 10.1097/pr9.0000000000001046] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2022] [Revised: 08/03/2022] [Accepted: 09/14/2022] [Indexed: 01/25/2023] Open
Abstract
Introduction Many patients with chronic pain use prescription opioids. Epigenetic modification of the μ-opioid receptor 1 (OPRM1) gene, which codes for the target protein of opioids, may influence vulnerability to opioid abuse and response to opioid pharmacotherapy, potentially affecting pain outcomes. Objective Our objective was to investigate associations of clinical and sociodemographic factors with OPRM1 DNA methylation in patients with chronic musculoskeletal pain on long-term prescription opioids. Methods Sociodemographic variables, survey data (Rapid Estimate of Adult Health Literacy in Medicine-Short Form, Functional Comorbidity Index [FCI], PROMIS 43v2.1 Profile, Opioid Risk Tool, and PROMIS Prescription Pain Medication Misuse), and saliva samples were collected. The genomic DNA extracted from saliva samples were bisulfite converted, amplified by polymerase chain reaction, and processed for OPRM1-targeted DNA methylation analysis on a Pyrosequencing instrument (Qiagen Inc, Valencia, CA). General linear models were used to examine the relationships between the predictors and OPRM1 DNA methylation. Results Data from 112 patients were analyzed. The best-fitted multivariable model indicated, compared with their counterparts, patients with > eighth grade reading level, degenerative disk disease, substance abuse comorbidity, and opioid use < 1 year (compared with >5 years), had average methylation levels that were 7.7% (95% confidence interval [CI] 0.95%, 14.4%), 11.7% (95% CI 2.7%, 21.1%), 21.7% (95% CI 10.7%, 32.5%), and 16.1% (95% CI 3.3%, 28.8%) higher than the reference groups, respectively. Methylation levels were 2.2% (95% CI 0.64%, 3.7%) lower for every 1 unit increase in FCI and greater by 0.45% (95% CI 0.08%, 0.82%) for every fatigue T score unit increase. Conclusions OPRM1 methylation levels varied by several patient factors. Further studies are warranted to replicate these findings and determine potential clinical utility.
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No Association between Genetic Variants of the COMT and OPRM1 Genes and Pain Perception among Patients Undergoing Total Hip or Knee Arthroplasty for Primary Osteoarthritis. Genes (Basel) 2022; 13:genes13101775. [PMID: 36292660 PMCID: PMC9602431 DOI: 10.3390/genes13101775] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/21/2022] [Accepted: 09/22/2022] [Indexed: 11/17/2022] Open
Abstract
Each year approximately 1 million total hip replacements are performed worldwide. The most common indications to choose this procedure are rest pain and pain after activity as well as functional limitations influencing daily activities. Experimental pain is highly variable by individuals, which is partly due to genetics. The aim of the study was to investigate a possible association of the catechol-O-methyltransferase (COMT) and μ-opioid receptor (OPRM1) genotypes with pain perception in patients undergoing total hip replacement and total knee replacement taking into account aspects such as age, sex and diabetes. The study included 207 patients (119 females, 88 males, median age 65 years, range 33−77) that qualified for surgical treatment (total hip replacement and knee arthroplasty) due to osteoarthritis. Pain sensitivity measurement was performed using a standard algometer. The genomic DNA was extracted from the buccal cells.. Single locus analysis was conducted using a general linear model. In the study group, we did not find statistically significant genetic associations between variants of COMT and OPRM1 and pain thresholds/pain tolerance. The analysis of subjective pain perception using the visual analog scale did not show any relationship between the OPRM1 rs1799971A>G variant and COMT rs4680, rs4633, rs4818 and rs6269.
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Deodhar M, Turgeon J, Michaud V. Contribution of CYP2D6 Functional Activity to Oxycodone Efficacy in Pain Management: Genetic Polymorphisms, Phenoconversion, and Tissue-Selective Metabolism. Pharmaceutics 2021; 13:1466. [PMID: 34575542 PMCID: PMC8468517 DOI: 10.3390/pharmaceutics13091466] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 08/26/2021] [Accepted: 09/03/2021] [Indexed: 02/01/2023] Open
Abstract
Oxycodone is a widely used opioid for the management of chronic pain. Analgesic effects observed following the administration of oxycodone are mediated mostly by agonistic effects on the μ-opioid receptor. Wide inter-subject variability observed in oxycodone efficacy could be explained by polymorphisms in the gene coding for the μ-opioid receptor (OPRM1). In humans, oxycodone is converted into several metabolites, particularly into oxymorphone, an active metabolite with potent μ-opioid receptor agonist activity. The CYP2D6 enzyme is principally responsible for the conversion of oxycodone to oxymorphone. The CYP2D6 gene is highly polymorphic with encoded protein activities, ranging from non-functioning to high-functioning enzymes. Several pharmacogenetic studies have shown the importance of CYP2D6-mediated conversion of oxycodone to oxymorphone for analgesic efficacy. Pharmacogenetic testing could optimize oxycodone therapy and help achieve adequate pain control, avoiding harmful side effects. However, the most recent Clinical Pharmacogenetics Implementation Consortium guidelines fell short of recommending pharmacogenomic testing for oxycodone treatment. In this review, we (1) analyze pharmacogenomic and drug-interaction studies to delineate the association between CYP2D6 activity and oxycodone efficacy, (2) review evidence from CYP3A4 drug-interaction studies to untangle the nature of oxycodone metabolism and its efficacy, (3) report on the current knowledge linking the efficacy of oxycodone to OPRM1 variants, and (4) discuss the potential role of CYP2D6 brain expression on the local formation of oxymorphone. In conclusion, we opine that pharmacogenetic testing, especially for CYP2D6 with considerations of phenoconversion due to concomitant drug administration, should be appraised to improve oxycodone efficacy.
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Affiliation(s)
- Malavika Deodhar
- Precision Pharmacotherapy Research and Development Institute, Tabula Rasa HealthCare, Orlando, FL 32827, USA; (M.D.); (J.T.)
| | - Jacques Turgeon
- Precision Pharmacotherapy Research and Development Institute, Tabula Rasa HealthCare, Orlando, FL 32827, USA; (M.D.); (J.T.)
- Faculty of Pharmacy, Université de Montréal, Montréal, QC H3T 1J4, Canada
| | - Veronique Michaud
- Precision Pharmacotherapy Research and Development Institute, Tabula Rasa HealthCare, Orlando, FL 32827, USA; (M.D.); (J.T.)
- Faculty of Pharmacy, Université de Montréal, Montréal, QC H3T 1J4, Canada
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Gerra MC, Dallabona C, Arendt-Nielsen L. Epigenetic Alterations in Prescription Opioid Misuse: New Strategies for Precision Pain Management. Genes (Basel) 2021; 12:genes12081226. [PMID: 34440400 PMCID: PMC8392465 DOI: 10.3390/genes12081226] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/06/2021] [Accepted: 08/08/2021] [Indexed: 12/11/2022] Open
Abstract
Prescription opioids are used for some chronic pain conditions. However, generally, long-term therapy has unwanted side effects which may trigger addiction, overdose, and eventually cause deaths. Opioid addiction and chronic pain conditions have both been associated with evidence of genetic and epigenetic alterations. Despite intense research interest, many questions about the contribution of epigenetic changes to this typology of addiction vulnerability and development remain unanswered. The aim of this review was to summarize the epigenetic modifications detected in specific tissues or brain areas and associated with opioid prescription and misuse in patients who have initiated prescribed opioid management for chronic non-cancer pain. The review considers the effects of opioid exposure on the epigenome in central and peripheral tissues in animal models and human subjects and highlights the mechanisms in which opioid epigenetics may be involved. This will improve our current understanding, provide the basis for targeted, personalized pain management, and thus balance opioid risks and benefits in managing chronic pain.
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Affiliation(s)
- Maria Carla Gerra
- Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark;
- Correspondence:
| | - Cristina Dallabona
- Department of Chemistry, Life Sciences, and Environmental Sustainability, University of Parma, 43123 Parma, Italy;
| | - Lars Arendt-Nielsen
- Center for Neuroplasticity and Pain (CNAP), SMI, Department of Health Science and Technology, Aalborg University, 9220 Aalborg, Denmark;
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High Genetic Addiction Risk Score (GARS) in Chronically Prescribed Severe Chronic Opioid Probands Attending Multi-pain Clinics: an Open Clinical Pilot Trial. Mol Neurobiol 2021; 58:3335-3346. [PMID: 33683627 PMCID: PMC8257535 DOI: 10.1007/s12035-021-02312-1] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Accepted: 01/25/2021] [Indexed: 01/02/2023]
Abstract
Millions of Americans experience pain daily. In 2017, opioid overdose claimed 64,000 lives increasing to 84,000 lives in 2020, resulting in a decrease in national life expectancy. Chronic opioid use results in dependency, drug tolerance, neuroadaptation, hyperalgesia, potential addictive behaviors, or Reward Deficiency Syndrome (RDS) caused by a hypodopaminergia. Evaluation of pain clinic patients with the Genetic Addiction Risk Score (GARS) test and the Addiction Severity Index (ASI- Media Version V) revealed that GARS scores equal to or greater than 4 and 7 alleles significantly predicted drug and alcohol severity, respectively. We utilized RT-PCR for SNP genotyping and multiplex PCR/capillary electrophoresis for fragment analysis of the role of eleven alleles in a ten-reward gene panel, reflecting the activity of brain reward circuitry in 121 chronic opioid users. The study consisted of 55 males and 66 females averaging ages 54 and 53 years of age, respectively. The patients included Caucasians, African Americans, Hispanics, and Asians. Inclusion criteria mandated that the Morphine Milligram Equivalent (MME) was 30-600 mg/day (males) and 20 to 180 mg/day (females) for treatment of chronic pain over 12 months. Ninety-six percent carried four or more risk alleles, and 73% carried seven or more risk alleles, suggesting a high predictive risk for opioid and alcohol dependence, respectively. These data indicate that chronic, legally prescribed opioid users attending a pain clinic possess high genetic risk for drug and alcohol addiction. Early identification of genetic risk, using the GARS test upon entry to treatment, may prevent iatrogenic induced opioid dependence.
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Slade GD, Fillingim RB, Ohrbach R, Hadgraft H, Willis J, Arbes SJ, Tchivileva IE. COMT Genotype and Efficacy of Propranolol for TMD Pain: A Randomized Trial. J Dent Res 2020; 100:163-170. [PMID: 33030089 PMCID: PMC8163522 DOI: 10.1177/0022034520962733] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
Propranolol is a nonselective β-adrenergic receptor antagonist that is
efficacious in reducing facial pain. There is evidence that its analgesic
efficacy might be modified by variants of the catechol-O-methyltransferase
(COMT) gene. We tested the hypothesis in a subset of 143
non-Hispanic Whites from a randomized controlled trial of patients with painful
temporomandibular disorder (TMD). Patients were genotyped for rs4680, a single
nucleotide polymorphism of COMT, and randomly allocated to
either propranolol 60 mg twice daily or placebo. During the 9-wk follow-up
period, patients recorded daily ratings of facial pain intensity and duration;
the product was computed as an index of facial pain. Postbaseline change in the
index at week 9 (the primary endpoint) was analyzed as a continuous variable and
dichotomized at thresholds of ≥30% and ≥50% reduction. Mixed models for repeated
measures tested for the genotype × treatment group interaction and estimated
means, odds ratios (ORs), and 95% confidence limits (95% CLs) of efficacy within
COMT genotypes assuming an additive genetic model. In
secondary analysis, the cumulative response curves were plotted for dichotomized
reductions ranging from ≥20% to ≥70%, and genotype differences in area under the
curve percentages (%AUC) were calculated to signify efficacy. Mean index
reduction did not differ significantly (P = 0.277) according to
genotype, whereas the dichotomized ≥30% reduction revealed greater efficacy
among G:G homozygotes (OR = 10.9, 95%CL = 2.4, 50.7) than among A:A homozygotes
(OR = 0.8, 95%CL = 0.2, 3.2) with statistically significant interaction
(P = 0.035). Cumulative response curves confirmed greater
(P = 0.003) efficacy for G:G homozygotes (%AUC difference =
43.7, 95%CL = 15.4, 72.1) than for A:A homozygotes (%AUC difference = 6.5, 95%CL
= -30.2, 43.2). The observed antagonistic effect of the A allele on
propranolol’s efficacy was opposite the synergistic effect hypothesized a
priori. This unexpected result highlights the need for better knowledge of
COMT’s role in pain pathogenesis if the gene is to be used
for precision-medicine treatment of TMD (ClinicalTrials.gov NCT02437383).
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Affiliation(s)
- G D Slade
- Center for Pain Research and Innovation, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Division of Pediatric and Public Health, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - R B Fillingim
- Department of Community Dentistry and Behavioral Science, University of Florida, Gainesville, FL, USA
| | - R Ohrbach
- Department of Oral and Maxillofacial Surgery, University at Buffalo, State University of New York, Buffalo, NY, USA
| | | | | | | | - I E Tchivileva
- Center for Pain Research and Innovation, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.,Division of Oral and Craniofacial Health Sciences, Adams School of Dentistry, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
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Rezaeifar A, Dahmardeh F. The Effect of OPRM1 rs648893 Gene Polymorphism on Opioid Addiction in an Iranian population in Zabol: A Case-Control Study. INTERNATIONAL JOURNAL OF BASIC SCIENCE IN MEDICINE 2019. [DOI: 10.34172/ijbsm.2019.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
Introduction: Opioid addiction (OA) is a neurologically life-threatening challenge associated with socioeconomic and health concerns for individuals and society. The addictive drugs trigger neuromodulators and neurotransmitters through the opioid receptors and corresponding endogenous peptide ligands. In addition, drug addiction is reportedly related to the mu-opioid receptor (OPRM1) encoding gene and its variants. According to the role of the rs648893 polymorphism of the OPRM1 gene in numerous disorders, it has been suggested as a candidate associated with drug addiction. The present case-control study was conducted to evaluate the role of OPRM1 rs648893 polymorphism in the OA risk. Methods: To this end, the rs648893 polymorphism was genotyped by tetra amplification refractory mutation system-polymerase chain reaction among 160 Iranian subjects consisting of 105 OA cases and 155 controls. Results: According to our findings, there was no significant association between OA and the OPRM1 rs648893 gene polymorphism. Moreover, a marginally insignificant difference was found between OA cases and controls in accordance with the allelic frequencies (P=0.05) Conclusion: In general, our results reported no association between OPRM1 rs648893 gene polymorphism and OA although further research among various ethnicities with larger sample sizes is needed to draw a definite conclusion on the association of rs648893 polymorphism and other OPRM1 intronic variants with opioid and other addictions.
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Affiliation(s)
- Alireza Rezaeifar
- Department of Clinical Biochemistry, School of Medicine, Zabol University of Medical Sciences, Zabol, Iran
| | - Fatemeh Dahmardeh
- Department of Biology, Faculty of Sciences, University of Zabol, Zabol, Iran
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BARTOŠOVÁ O, POLANECKÝ O, ŠACHL R, ŠTENGLOVÁ NETÍKOVÁ I, PERLÍK F, ADÁMEK S, LISCHKE R, SLANAŘ O. Epidural Analgesia With Sufentanil in Relation to OPRM1 and ABCB1 Polymorphisms. Physiol Res 2019; 68:S59-S64. [DOI: 10.33549/physiolres.934325] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022] Open
Abstract
The aim of this study was to evaluate the association between OPRM1 and ABCB1 polymorphisms on pain relief with epidural sufentanil in 69 patients after rectosigma resection for cancer. The median number of injections (SD) 2.31 (1.36), IQR=1, required by 118AA subjects was significantly lower in comparison with 118AG group 5.25 (3.13), IQR=6.5, (χ2=9.75, p=0.001); correspondingly median drug consumption of 1.16 (0.79), IQR=1.083, defined daily doses (DDD) was significantly less in the 118AA group in comparison with 2.14 (1.17), IQR=2.23, DDD in 118AG subjects, (χ2=7.00, p=0.008). Opioid-induced adverse effects were observed in 15 % and 33 % of patients in 118AA and 118AG groups, respectively (χ2=8.16, p=0.004). The median number of injections (SD) required by women and men was 3.30 (2.16), IQR=2, and 2.80 (1.59), IQR=1, respectively (χ2=6.25, p=0.012). Opioid-induced adverse effects were observed in 26 % and 12 % of women and men, respectively (χ2=5.49, p=0.011). Heterozygotes of OPRM1 polymorphism and women were more difficult to treat subpopulations that required higher doses of rescue analgesic medication and suffered more adverse effects.
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Affiliation(s)
- O. BARTOŠOVÁ
- Institute of Pharmacology, First Faculty of Medicine, Charles University and General University Hospital, Prague, Czech Republic
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