1
|
Miyahara K, Hino M, Shishido R, Izumi R, Nagaoka A, Hayashi H, Kakita A, Yabe H, Tomita H, Kunii Y. Ethnicity-dependent effect of rs1799971 polymorphism on OPRM1 expression in the postmortem brain and responsiveness to antipsychotics. J Psychiatr Res 2023; 166:10-16. [PMID: 37659266 DOI: 10.1016/j.jpsychires.2023.08.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/25/2023] [Indexed: 09/04/2023]
Abstract
Schizophrenia is associated with aberration of inhibitory neurons. Although the mu-opioid receptor (MOR) is an essential modulator of inhibitory neurons, the effect of rs1799971 polymorphism in the MOR gene on risk of schizophrenia is controversial. Moreover, the disturbance of opioids systems in patients with schizophrenia has not been fully examined. We firstly conducted preliminary meta-analyses integrating Asian and European populations separately over 12,000 subjects to assess the effect of rs1799971 on risk of schizophrenia. Based on the above result, we also investigated the effect on the expression levels of MOR mRNA in the prefrontal cortex (PFC) and caudate nucleus of 41 postmortem brains. In addition, we determined whether these levels were related to antemortem schizophrenia symptoms and pharmacotherapeutic effects. The rs1799971 G-allele reduced the risk of schizophrenia in Asian populations (OR: 0.56, 95%CI: 0.32-0.98, p = 0.042) but increased it in European populations (OR: 1.66, 95%CI: 1.08-2.56, p = 0.022). It decreased MOR mRNA levels in PFC in the Japanese population (p = 0.031). Increased MOR mRNA level in PFC correlated with higher total score of antemortem schizophrenia symptoms (p = 0.017). Furthermore, the pharmacotherapeutic effect of first-generation antipsychotics was higher for genotype AA than AG/GG of rs1799971 (p = 0.036). The rs1799971 affects risk of schizophrenia and MOR mRNA expression and the effect varies according to ethnicity. Overexpression of MOR might induce severe schizophrenia symptoms. Therefore, MOR modulation may be the key clue for treating antipsychotics-resistant schizophrenia, and genotyping rs1799971 may provide a better pharmacotherapeutic strategy.
Collapse
Affiliation(s)
- Kazusa Miyahara
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan
| | - Mizuki Hino
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan; Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Risa Shishido
- Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Ryuta Izumi
- Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Atsuko Nagaoka
- Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Hideki Hayashi
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Akiyoshi Kakita
- Department of Pathology, Brain Research Institute, Niigata University, Niigata, Japan
| | - Hirooki Yabe
- Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan
| | - Hiroaki Tomita
- Department of Psychiatry, Tohoku University Hospital, Miyagi, Japan; Department of Psychiatry, Graduate School of Medicine, Tohoku University, Miyagi, Japan
| | - Yasuto Kunii
- Department of Disaster Psychiatry, International Research Institute of Disaster Science, Tohoku University, Sendai, Japan; Department of Neuropsychiatry, School of Medicine, Fukushima Medical University, Fukushima, Japan.
| |
Collapse
|
2
|
Yu J, Zhang Y, Xun Y, Tang H, Fu X, Zhang R, Zhu F, Zhang J. Methylation and expression quantitative trait loci rs1799971 in the OPRM1 gene and rs4654327 in the OPRD1 gene are associated with opioid use disorder. Neurosci Lett 2023; 814:137468. [PMID: 37660978 DOI: 10.1016/j.neulet.2023.137468] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2023] [Revised: 08/26/2023] [Accepted: 08/30/2023] [Indexed: 09/05/2023]
Abstract
Opioid use disorder (OUD) is a chronic and relapsing brain disease that results in significant mortality worldwide. Genetic factors are estimated to contribute to 40%-60% of the liability, with polymorphisms of opioid receptor genes implicated in this disorder. However, the mechanisms underlying these associations are not yet fully understood. In the present study, we first examined the methylation levels in the promoter region of the OPRM1, OPRD1, and OPRK1 genes in 111 healthy controls (HCs) and 120 patients with OUD, and genotyped three tag SNPs in these genes. Correlations between these SNPs and the methylation levels of the CpG sites and expression levels of the genes were analyzed. After identifying the mQTLs and eQTLs, we determined the associations between the mQTLs/eQTLs and susceptibility to and characteristics of OUD in 930 HCs and 801 patients with OUD. Our results demonstrated that SNPs rs1799971 in the OPRM1 gene and rs4654327 in the OPRD1 gene were both mQTLs and eQTLs. We observed unique correlations between mQTLs and methylation levels of several CpG sites in the OUD group compared to the HC group. Interestingly, both the two mQTLs and eQTLs were associated with the susceptibility to OUD. In conclusion, we suppose that mQTLs and eQTLs in genes may underlie the associations between certain risk genetic polymorphisms and OUD. These mQTLs and eQTLs could potentially serve as promising biomarkers for better management of opioid misuse.
Collapse
Affiliation(s)
- Jiao Yu
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Shaanxi Provincial People's Hospital, Xi'an, Shaanxi 710061, China
| | - Yudan Zhang
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Center for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Yufeng Xun
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Center for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Hua Tang
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Xi'an International Medical Center Hospital, Xi'an, Shaanxi 710061, China
| | - Xiaoyu Fu
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China
| | - Rui Zhang
- Department of Psychiatry, Xi'an Mental Health Center, Xi'an, Shaanxi 710061, China
| | - Feng Zhu
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Center for Translational Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
| | - Jianbo Zhang
- Health Science Center, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China; Key Laboratory of National Health Commission for Forensic Science, Xi'an Jiaotong University, Xi'an, Shaanxi 710061, China.
| |
Collapse
|
3
|
Aruldhas BW, Quinney SK, Packiasabapathy S, Overholser BR, Raymond O, Sivam S, Sivam I, Velu S, Montelibano A, Sadhasivam S. Effects of oxycodone pharmacogenetics on postoperative analgesia and related clinical outcomes in children: a pilot prospective study. Pharmacogenomics 2023; 24:187-197. [PMID: 36946298 PMCID: PMC10061242 DOI: 10.2217/pgs-2022-0149] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2022] [Accepted: 12/19/2022] [Indexed: 03/23/2023] Open
Abstract
Background: Variability in the pharmacokinetics and pharmacodynamics of oxycodone in children undergoing surgery could be due to genetic polymorphisms. Materials & methods: The authors studied the association between clinical outcomes and pharmacogenes in children undergoing major surgery. A total of 89 children (35 undergoing pectus excavatum repair and 54 undergoing spinal fusion) were recruited. Results: OPRM1 SNP rs6902403 showed an association with maximum pain score and total morphine equivalent dose (p < 0.05). Other polymorphisms in OPRM1 SNP, PXR, COMT and ABCB1 were also shown to be associated with average morphine equivalent dose, length of hospital stay and maximum surgical pain (p < 0.05). Conclusion: This study demonstrates novel associations between the above pharmacogenes and oxycodone's pharmacokinetics as well as postoperative outcomes in children. Clinical trial registration: NCT03495388 (ClinicalTrials.gov).
Collapse
Affiliation(s)
- Blessed W Aruldhas
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pharmacology & Clinical Pharmacology, Christian Medical College, Vellore, India
| | - Sara K Quinney
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Obstetrics & Gynecology, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology & Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
| | | | - Brian R Overholser
- Division of Clinical Pharmacology, Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA
- Center for Computational Biology & Bioinformatics, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Pharmacy Practice, Purdue University College of Pharmacy, Indianapolis, IN, USA
| | - Olivia Raymond
- Department of Anesthesiology & Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Sahana Sivam
- North Allegheny Intermediate High School, Pittsburgh, PA 15237, USA
| | - Inesh Sivam
- North Allegheny Intermediate High School, Pittsburgh, PA 15237, USA
| | | | - Antoinette Montelibano
- Department of Anesthesiology & Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Senthilkumar Sadhasivam
- Department of Anesthesia, Indiana University School of Medicine, Indianapolis, IN, USA
- Department of Anesthesiology & Perioperative Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| |
Collapse
|
4
|
Gaddis N, Mathur R, Marks J, Zhou L, Quach B, Waldrop A, Levran O, Agrawal A, Randesi M, Adelson M, Jeffries PW, Martin NG, Degenhardt L, Montgomery GW, Wetherill L, Lai D, Bucholz K, Foroud T, Porjesz B, Runarsdottir V, Tyrfingsson T, Einarsson G, Gudbjartsson DF, Webb BT, Crist RC, Kranzler HR, Sherva R, Zhou H, Hulse G, Wildenauer D, Kelty E, Attia J, Holliday EG, McEvoy M, Scott RJ, Schwab SG, Maher BS, Gruza R, Kreek MJ, Nelson EC, Thorgeirsson T, Stefansson K, Berrettini WH, Gelernter J, Edenberg HJ, Bierut L, Hancock DB, Johnson EO. Multi-trait genome-wide association study of opioid addiction: OPRM1 and beyond. Sci Rep 2022; 12:16873. [PMID: 36207451 PMCID: PMC9546890 DOI: 10.1038/s41598-022-21003-y] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2022] [Accepted: 09/21/2022] [Indexed: 12/02/2022] Open
Abstract
Opioid addiction (OA) is moderately heritable, yet only rs1799971, the A118G variant in OPRM1, has been identified as a genome-wide significant association with OA and independently replicated. We applied genomic structural equation modeling to conduct a GWAS of the new Genetics of Opioid Addiction Consortium (GENOA) data together with published studies (Psychiatric Genomics Consortium, Million Veteran Program, and Partners Health), comprising 23,367 cases and effective sample size of 88,114 individuals of European ancestry. Genetic correlations among the various OA phenotypes were uniformly high (rg > 0.9). We observed the strongest evidence to date for OPRM1: lead SNP rs9478500 (p = 2.56 × 10-9). Gene-based analyses identified novel genome-wide significant associations with PPP6C and FURIN. Variants within these loci appear to be pleiotropic for addiction and related traits.
Collapse
Affiliation(s)
- Nathan Gaddis
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Ravi Mathur
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Jesse Marks
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Linran Zhou
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Bryan Quach
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Alex Waldrop
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Orna Levran
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Arpana Agrawal
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Matthew Randesi
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Miriam Adelson
- Dr. Miriam and Sheldon G. Adelson Clinic for Drug Abuse, Treatment and Research, Las Vegas, NV, USA
| | - Paul W Jeffries
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Nicholas G Martin
- Genetic Epidemiology, QIMR Berghofer Medical Research Institute, Brisbane, Australia
| | - Louisa Degenhardt
- National Drug and Alcohol Research Centre, University of New South Wales, Randwick, NSW, Australia
| | - Grant W Montgomery
- Institute for Molecular Bioscience, The University of Queensland, Brisbane, QLD, Australia
| | - Leah Wetherill
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Dongbing Lai
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Kathleen Bucholz
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - Tatiana Foroud
- Medical and Molecular Genetics, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Bernice Porjesz
- Department of Psychiatry, State University of New York Downstate Medical Center, Brooklyn, NY, USA
| | | | | | | | | | - Bradley Todd Webb
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Richard C Crist
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Henry R Kranzler
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Richard Sherva
- Genome Science Institute, Boston University, Boston, MA, USA
| | - Hang Zhou
- Department of Psychiatry, Yale University School of Medicine, West Haven, CT, USA
| | - Gary Hulse
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
| | - Dieter Wildenauer
- School of Psychiatry and Clinical Neurosciences, The University of Western Australia, Perth, WA, Australia
| | - Erin Kelty
- School of Population and Global Health, Population and Public Health, The University of Western Australia, Perth, WA, Australia
| | - John Attia
- Hunter Medical Research Institute, Newcastle, Australia
| | - Elizabeth G Holliday
- Hunter Medical Research Institute, Newcastle, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Mark McEvoy
- Hunter Medical Research Institute, Newcastle, Australia
- School of Medicine and Public Health, The University of Newcastle, Callaghan, NSW, Australia
| | - Rodney J Scott
- School of Biomedical Sciences and Pharmacy College of Health, Medicine and Wellbeing, The University of Newcastle, New Lambton Heights, NSW, Australia
| | - Sibylle G Schwab
- Faculty of Science, Medicine and Health, University of Wollongong, Wollongong, NSW, Australia
| | - Brion S Maher
- Department of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Gruza
- Department of Family and Community Medicine, Saint Louis University, Saint Louis, MO, USA
| | - Mary Jeanne Kreek
- The Laboratory of the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| | - Elliot C Nelson
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | | | - Kari Stefansson
- deCODE Genetics/Amgen, Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reyjavik, Iceland
| | - Wade H Berrettini
- Department of Psychiatry, University of Pennsylvania, Philadelphia, PA, USA
| | - Joel Gelernter
- Department of Psychiatry, Genetics, & Neuroscience, Yale University School of Medicine, West Haven, CT, USA
| | - Howard J Edenberg
- Department of Biochemistry and Molecular Biology, Indiana University School of Medicine, Indianapolis, IN, USA
| | - Laura Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Dana B Hancock
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA
| | - Eric Otto Johnson
- GenOmics, Bioinformatics, and Translational Research Center, Biostatistics and Epidemiology Division, RTI International, Research Triangle Park, NC, USA.
- Fellow Program, RTI International, Research Triangle Park, NC, USA.
| |
Collapse
|
5
|
Freda PJ, Kranzler HR, Moore JH. Novel digital approaches to the assessment of problematic opioid use. BioData Min 2022; 15:14. [PMID: 35840990 PMCID: PMC9284824 DOI: 10.1186/s13040-022-00301-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2021] [Accepted: 06/30/2022] [Indexed: 11/16/2022] Open
Abstract
The opioid epidemic continues to contribute to loss of life through overdose and significant social and economic burdens. Many individuals who develop problematic opioid use (POU) do so after being exposed to prescribed opioid analgesics. Therefore, it is important to accurately identify and classify risk factors for POU. In this review, we discuss the etiology of POU and highlight novel approaches to identifying its risk factors. These approaches include the application of polygenic risk scores (PRS) and diverse machine learning (ML) algorithms used in tandem with data from electronic health records (EHR), clinical notes, patient demographics, and digital footprints. The implementation and synergy of these types of data and approaches can greatly assist in reducing the incidence of POU and opioid-related mortality by increasing the knowledge base of patient-related risk factors, which can help to improve prescribing practices for opioid analgesics.
Collapse
Affiliation(s)
- Philip J Freda
- Cedars-Sinai Medical Center, Department of Computational Biomedicine, 700 N. San Vicente Blvd., Pacific Design Center Suite G540, West Hollywood, CA, 90069, USA.
| | - Henry R Kranzler
- University of Pennsylvania, Center for Studies of Addiction, 3535 Market St., Suite 500 and Crescenz VAMC, 3800 Woodland Ave., Philadelphia, PA, 19104, USA
| | - Jason H Moore
- Cedars-Sinai Medical Center, Department of Computational Biomedicine, 700 N. San Vicente Blvd., Pacific Design Center Suite G540, West Hollywood, CA, 90069, USA
| |
Collapse
|
6
|
Yang Z, Yang J, Mao Y, Li MD. Investigation of the genetic effect of 56 tobacco-smoking susceptibility genes on DNA methylation and RNA expression in human brain. Front Psychiatry 2022; 13:924062. [PMID: 36061282 PMCID: PMC9433921 DOI: 10.3389/fpsyt.2022.924062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Accepted: 07/29/2022] [Indexed: 11/24/2022] Open
Abstract
Although various susceptibility genes have been revealed to influence tobacco smoking, the underlying regulatory mechanisms between genetic variants and smoking are poorly understood. In this study, we investigated cis-expression quantitative trait loci (cis-eQTLs) and methylation quantitative trait loci (mQTLs) for 56 candidate smoking-linked genes using the BrainCloud cohort samples. An eQTL was revealed to significantly affect EGLN2 expression in the European sample and two mQTLs were respectively detected in CpG sites in NRXN1 and CYP2A7. Interestingly, we found for the first time that the minor allele of the single nucleotide polymorphism (SNP) rs3745277 located in CYP2A7P1 (downstream of CYP2B6) significantly decreased methylation at the CpG site for CYP2A7 (cg25427638; P = 5.31 × 10-7), reduced expression of CYP2B6 (P = 0.03), and lowered the percentage of smokers (8.8% vs. 42.3%; Odds Ratio (OR) = 0.14, 95% Confidence Interval (CI): 0.02-0.62; P = 4.47 × 10-3) in a dominant way for the same cohort sample. Taken together, our findings resulted from analyzing genetic variation, DNA methylation, mRNA expression, and smoking status together using the same participants revealed a regulatory mechanism linking mQTLs to the smoking phenotype. Moreover, we demonstrated the presence of different regulatory effects of low-frequency and common variants on mRNA expression and DNA methylation.
Collapse
Affiliation(s)
- Zhongli Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Jiekun Yang
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ying Mao
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
| | - Ming D Li
- State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, National Medical Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China.,Research Center for Air Pollution and Health, Zhejiang University, Hangzhou, China
| |
Collapse
|
7
|
Crist RC, Arauco-Shapiro G, Zhang A, Reiner BC, Berrettini WH, Doyle GA. Differential expression and transcription factor binding associated with genotype at a pharmacogenetic variant in OPRD1. Am J Drug Alcohol Abuse 2021; 47:581-589. [PMID: 34407719 DOI: 10.1080/00952990.2021.1954189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/20/2022]
Abstract
BACKGROUND The functional mechanism is unknown for many genetic variants associated with substance use disorder phenotypes. Rs678849, an intronic variant in the delta-opioid receptor gene (OPRD1), has been found to predict regional brain volume, addiction risk, and the efficacy of buprenorphine/naloxone in treating opioid use disorder. The variant has also been implicated as an expression quantitative trait locus (eQTL) for several genes. OBJECTIVES The objective of this study was to identify functional differences between the two alleles of rs678849 in vitro. We hypothesized that the two alleles of rs678849 would have different effects on transcriptional activity due to differential interactions with transcription factors. METHODS 15bp regions containing the C or T alleles of rs678849 were cloned into luciferase constructs and transfected into BE(2)C neuroblastoma cells to test the effect on transcription. Electrophoretic mobility shift assays (EMSA) using nuclear lysates from BE(2)C cell or human postmortem medial prefrontal cortex were used to identify proteins that differentially bound the two alleles. RESULTS At 24 hours post-transfection, the C allele construct had significantly lower luciferase expression than the T allele construct and empty vector control (ANOVA p < .001). Proteomic analysis and supershift assays identified XRCC6 as a transcription factor specifically binding the C allele, whereas hnRNP D0 was found to specifically bind the T allele. CONCLUSION These functional differences between the C and T alleles may help explain the psychiatric and neurological phenotype differences predicted by rs678849 genotype and the potential role of the variant as an eQTL.
Collapse
Affiliation(s)
- Richard C Crist
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Gabriella Arauco-Shapiro
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Alexander Zhang
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Benjamin C Reiner
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wade H Berrettini
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.,Geisinger Clinic, Danville, PA, USA
| | - Glenn A Doyle
- Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
8
|
McCorkle ML, Kisor DF, Freiermuth CE, Sprague JE. Systematic review of Pharmacogenomics Knowledgebase evidence for pharmacogenomic links to the dopamine reward pathway for heroin dependence. Pharmacogenomics 2021; 22:849-857. [PMID: 34424051 DOI: 10.2217/pgs-2021-0023] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Genetics play an important role in opioid use disorder (OUD); however, few specific gene variants have been identified. Therefore, there is a need to further understand the pharmacogenomics influences on the pharmacodynamics of opioids. The Pharmacogenomics Knowledgebase (PharmGKB), a database that links genetic variation and drug interaction in the body, was queried to identify polymorphisms associated with heroin dependence in the context of opioid related disorders/OUD. Eight genes with 22 variants were identified as linked to increased risk of heroin dependence, with three genes and variants linked to decreased risk, although the level of evidence was moderate to low. Therefore, continued exploration of biomarker influences on OUD, reward pathways and other contributing circuitries is necessary to understand the true impact of genetics on OUD before integration into clinical guidelines.
Collapse
Affiliation(s)
| | - David F Kisor
- Department of Pharmaceutical Sciences & Pharmacogenomics, College of Pharmacy, Natural & Health Sciences, Manchester University, Fort Wayne, IN 46845, USA
| | - Caroline E Freiermuth
- Department of Emergency Medicine, University of Cincinnati, Cincinnati, OH 45267, USA.,Center for Addiction Research, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Jon E Sprague
- The Ohio Attorney General's Office, Columbus, OH 43215, USA.,The Ohio Attorney General's Center for the Future of Forensic Science, Bowling Green State University, Bowling Green, OH 43403, USA
| |
Collapse
|
9
|
Levran O, Kreek MJ. Population-specific genetic background for the OPRM1 variant rs1799971 (118A>G): implications for genomic medicine and functional analysis. Mol Psychiatry 2021; 26:3169-3177. [PMID: 33037305 DOI: 10.1038/s41380-020-00902-4] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/16/2020] [Revised: 09/11/2020] [Accepted: 09/29/2020] [Indexed: 11/09/2022]
Abstract
The mu-opioid receptor (MOR, OPRM1) has important roles in diverse functions including reward, addiction, and response to pain treatment. SNP rs1799971 (118A > G, N40D) which occur at a high frequency (40-60%) in Asia and moderate frequency (15%) in samples of European ancestry, is the only common coding variant in the canonical transcript, in non-African populations. Despite extensive studies, the molecular consequences of this variation remained unresolved. The aim of this study was to determine the genetic background of the OPRM1 region of 118G in four representative populations and to assess its potential modulatory effect. Seven common haplotypes with distinct population distribution were identified based on seven SNPs. Three haplotypes carry the 118G and additional highly linked regulatory SNPs (e.g., rs9383689) that could modulate the effect of 118G. Extended analysis in the 1000 Genomes database (n = 2504) revealed a common East Asian-specific haplotype with a different genetic background in which there are no variant alleles for an upstream LD block tagged by the eQTL rs9397171. The major European haplotype specifically includes the eQTL intronic SNP rs62436463 that must have arisen after the split between European and Asian populations. Differentiating between the effect of 118G and these SNPs requires specific experimental approaches. The analysis also revealed a significant increase in two 118A haplotypes with eQTL SNPs associated with drug addiction (rs510769) and obesity (rs9478496) in populations with native Mexican ancestry. Future studies are required to assess the clinical implication of these findings.
Collapse
Affiliation(s)
- Orna Levran
- Laboratory on the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA.
| | - Mary Jeanne Kreek
- Laboratory on the Biology of Addictive Diseases, The Rockefeller University, New York, NY, USA
| |
Collapse
|
10
|
Freda PJ, Moore JH, Kranzler HR. The phenomics and genetics of addictive and affective comorbidity in opioid use disorder. Drug Alcohol Depend 2021; 221:108602. [PMID: 33652377 PMCID: PMC8059867 DOI: 10.1016/j.drugalcdep.2021.108602] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 01/25/2021] [Accepted: 01/26/2021] [Indexed: 12/21/2022]
Abstract
Opioid use disorder (OUD) creates significant public health and economic burdens worldwide. Therefore, understanding the risk factors that lead to the development of OUD is fundamental to reducing both its prevalence and its impact. Significant sources of OUD risk include co-occurring lifetime and current diagnoses of both psychiatric disorders, primarily mood disorders, and other substance use disorders, and unique and shared genetic factors. Although there appears to be pleiotropy between OUD and both mood and substance use disorders, this aspect of OUD risk is poorly understood. In this review, we describe the prevalence and clinical significance of addictive and affective comorbidities as risk factors for OUD development as a basis for rational opioid prescribing and OUD treatment and to improve efforts to prevent the disorder. We also review the genetic variants that have been associated with OUD and other addictive and affective disorders to highlight targets for future study and risk assessment protocols.
Collapse
Affiliation(s)
- Philip J. Freda
- University of Pennsylvania, Biostatistics, Epidemiology, & Informatics, The Perelman School of Medicine, University of Pennsylvania A201 R…, Philadelphia, Pennsylvania 19104, United States
| | - Jason H. Moore
- Edward Rose Professor of Informatics, Director, Institute for Biomedical Informatics, Director, Division of Informatics, Department of Biostatistics, Epidemiology, & Informatics, Senior Associate Dean for Informatics, The Perelman School of Medicine, University of Pennsylvania, Contact Information: D202 Richards Building, 3700 Hamilton Walk, University of Pennsylvania, Philadelphia, PA 19104-6116
| | - Henry R. Kranzler
- Benjamin Rush Professor in Psychiatry, Department of Psychiatry, University of Pennsylvania, Treatment Research Center, 3535 Market Street, Suite 500, Philadelphia, PA 19104-6178
| |
Collapse
|
11
|
Lutz PE, Almeida D, Filliol D, Jollant F, Kieffer BL, Turecki G. Increased functional coupling of the mu opioid receptor in the anterior insula of depressed individuals. Neuropsychopharmacology 2021; 46:920-927. [PMID: 33531622 PMCID: PMC8115105 DOI: 10.1038/s41386-021-00974-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/04/2020] [Accepted: 01/14/2021] [Indexed: 12/20/2022]
Abstract
The mu opioid receptor (MOR) is a G protein-coupled receptor that plays an essential role in reward and hedonic processes, and that has been implicated in disorders such as depression and addiction. Over the last decade, several brain imaging studies in depressed patients have consistently found that dysregulation of MOR function occurs in particular in the anterior insular cortex, an important brain site for the perception of internal states and emotional regulation. To investigate molecular mechanisms that may underlie these effects, here we assessed genetic polymorphisms, expression, and functional G-protein coupling of MOR in a large post-mortem cohort (N = 95) composed of depressed individuals who died by suicide, and healthy controls. Results indicated that depression, but not comorbid substance use disorder or acute opiate consumption, was associated with increased MOR activity. This effect was partly explained by a specific increase in expression of the inhibitory alpha G-protein subunit GNAI2. Consistent with previous neuroimaging studies, our findings support the notion that enhanced endogenous opioidergic tone in the anterior insula may buffer negative affective states in depressed individuals, a mechanism that could potentially contribute to the antidepressant efficacy of emerging opioid-based medications.
Collapse
Affiliation(s)
- Pierre-Eric Lutz
- McGill Group for Suicide Studies, Douglas Mental Health Research Centre, McGill University, 6875 LaSalle Boulevard, Verdun, Montréal, QC, Canada. .,Centre National de la Recherche Scientifique, Université de Strasbourg, Fédération de Médecine Translationnelle de Strasbourg, Institut des Neurosciences Cellulaires et Intégratives UPR3212, Strasbourg, France.
| | - Daniel Almeida
- grid.14709.3b0000 0004 1936 8649McGill Group for Suicide Studies, Douglas Mental Health Research Centre, McGill University, 6875 LaSalle Boulevard, Verdun, Montréal, QC Canada
| | - Dominique Filliol
- grid.420255.40000 0004 0638 2716Translational Medicine and Neurogenetics, Institut de Génétique et de Biologie Moléculaire et Cellulaire, INSERM U-964, CNRS UMR-7104, Université de Strasbourg, Illkirch, France
| | - Fabrice Jollant
- grid.14709.3b0000 0004 1936 8649McGill Group for Suicide Studies, Douglas Mental Health Research Centre, McGill University, 6875 LaSalle Boulevard, Verdun, Montréal, QC Canada ,grid.508487.60000 0004 7885 7602Université de Paris, Paris, France ,grid.411165.60000 0004 0593 8241CHU Nîmes, Nîmes, France ,Present Address: Clinique des Maladies Mentales et de l’Encéphale (CMME), CH Sainte-Anne, GHU Paris, Psychiatrie et Neurosciences, Paris, France
| | - Brigitte L. Kieffer
- grid.420255.40000 0004 0638 2716Translational Medicine and Neurogenetics, Institut de Génétique et de Biologie Moléculaire et Cellulaire, INSERM U-964, CNRS UMR-7104, Université de Strasbourg, Illkirch, France ,grid.14709.3b0000 0004 1936 8649Douglas Mental Health Research Centre, Department of Psychiatry, McGill University, Montréal, QC H4H 1R3 Canada ,grid.412220.70000 0001 2177 138XPresent Address: INSERM U1114, Department of Psychiatry, University Hospital of Strasbourg, Strasbourg, France
| | - Gustavo Turecki
- McGill Group for Suicide Studies, Douglas Mental Health Research Centre, McGill University, 6875 LaSalle Boulevard, Verdun, Montréal, QC, Canada.
| |
Collapse
|
12
|
Palumbo SA, Robishaw JD, Krasnoff J, Hennekens CH. Different biases in meta-analyses of case-control and cohort studies: an example from genomics and precision medicine. Ann Epidemiol 2021; 58:38-41. [PMID: 33640484 DOI: 10.1016/j.annepidem.2021.02.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2020] [Revised: 02/15/2021] [Accepted: 02/18/2021] [Indexed: 10/22/2022]
Abstract
PURPOSE Meta-analyses of observational studies reduce the role of chance but also introduce bias because the individual component studies are not randomized. Further, it is plausible that the bias may be different in case-control and cohort studies. We explored these issues in meta-analyses of observational studies of Opioid Use Disorder (OUD). METHODS From a systematic literature review of 152 published meta-analyses, 11 fulfilled the initial inclusion criteria of observational studies of OUD. Of these, 9 were meta-analyses of case-control studies and 2 were meta-analyses of cohort studies but only 4 (3 case-control and 1 cohort) targeted more than one specific chromosomal location. RESULTS The meta-analyses of the 3 case-control studies, which included 13 individual studies, identified 12 different single nucleotide polymorphisms on 6 different genes on 5 different chromosomes. None was the same as the gene on Chromosome 15 identified from the meta-analysis of the cohort studies. CONCLUSIONS These data, from genetic studies, suggest biases are different in meta-analyses of case-control and cohort studies, perhaps due to greater selection bias in case-control studies. These observations have potential importance in the application of meta-analyses to many common and serious diseases, as well as genomics and precision medicine, including OUD.
Collapse
Affiliation(s)
- Sarah A Palumbo
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL.
| | - Janet D Robishaw
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL
| | - Joanne Krasnoff
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL
| | - Charles H Hennekens
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL
| |
Collapse
|
13
|
Kranzler HR, Lynch KG, Crist RC, Hartwell E, Le Moigne A, Laffont CM, Andorn AC. A Delta-Opioid Receptor Gene Polymorphism Moderates the Therapeutic Response to Extended-Release Buprenorphine in Opioid Use Disorder. Int J Neuropsychopharmacol 2021; 24:89-96. [PMID: 32920647 PMCID: PMC7883889 DOI: 10.1093/ijnp/pyaa069] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/30/2020] [Revised: 08/24/2020] [Accepted: 09/07/2020] [Indexed: 12/22/2022] Open
Abstract
BACKGROUND Buprenorphine treatment is not equally effective in all patients with opioid use disorder (OUD). Two retrospective studies showed that, among African Americans (AAs), rs678849, a polymorphism in the delta-opioid receptor gene, moderated the therapeutic effect of sublingual buprenorphine. METHODS We examined rs678849 as a moderator of the response to an extended-release subcutaneous buprenorphine formulation (BUP-XR) in a 24-week OUD treatment study of 127 AAs and 327 European Americans (EAs). Participants were randomly assigned to receive: (1) BUP-XR as 2 monthly injections of 300 mg followed by either 300 mg monthly or 100 mg monthly for 4 months, or (2) monthly volume-matched placebo injections. Generalized estimating equations logistic regression analyses tested, per population group, the main and interaction effects of treatment (BUP-XR vs placebo) and genotype group (rs678849*CC vs CT/TT) on weekly urine drug screens (UDS). RESULTS Among AAs, the placebo group had higher rates of opioid-positive UDS than the BUP-XR group (log odds ratio = 1.67, 95% CI = 0.36, 2.98), but no genotype by treatment effect (P = .80). Among EAs, the placebo group also showed higher rates of opioid-positive UDS than the BUP-XR group (log odds ratio = 1.97, 95% CI = 1.14, 2.79) but a significant genotype by treatment interaction (χ 2(1) = 4.33, P = .04). CONCLUSION We found a moderating effect of rs678849 on the response to buprenorphine treatment of OUD in EAs, but not AAs. These findings require replication in well-powered, prospective studies of both AA and EA OUD patients treated with BUP-XR and stratified on rs678849 genotype.
Collapse
Affiliation(s)
- Henry R Kranzler
- Mental Illness Research, Education and Clinical Center of the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Kevin G Lynch
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
- Mental Illness Research, Education and Clinical Center of the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | - Richard C Crist
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
| | - Emily Hartwell
- Center for Studies of Addiction, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania
- Mental Illness Research, Education and Clinical Center of the Veterans Integrated Service Network 4, Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania
| | | | | | | |
Collapse
|
14
|
Demery-Poulos C, Chambers JM. Genetic variation in alcoholism and opioid addiction susceptibility and treatment: a pharmacogenomic approach. AIMSMOLES 2021. [DOI: 10.3934/molsci.2021016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
Abstract
<abstract>
<p>Alcohol and opioid abuse have pervasive and detrimental consequences from the individual to societal level. The extent of genetic contribution to alcoholism has been studied for decades, yielding speculative and often inconsistent results since the previous discovery of two pharmacokinetic variants strongly protective against alcoholism. The neurobiology of addiction involves innumerate genes with combinatorial and epistatic interactions, creating a difficult landscape for concrete conclusions. In contrast, pharmacogenomic variation in the treatment of alcoholism yields more immediate clinical utility, while also emphasizing pathways crucial to the progression of addiction. An improved understanding of genetic predisposition to alcohol abuse has inherent significance for opioid addiction and treatment, as the two drugs induce the same reward pathway. This review outlines current knowledge, treatments, and research regarding genetic predisposition to alcoholism, focusing on pharmacodynamic variation within the dopaminergic system and shared implications for opioid abuse. Multifaceted and highly polygenic, the phenotype of addiction seems to grow more complex as new research extends the scope of its impact on the brain, body, and progeny.</p>
</abstract>
Collapse
|
15
|
Sanchez-Roige S, Fontanillas P, Jennings MV, Bianchi SB, Huang Y, Hatoum AS, Sealock J, Davis LK, Elson SL, Palmer AA; 23andMe Research Team. Genome-wide association study of problematic opioid prescription use in 132,113 23andMe research participants of European ancestry. Mol Psychiatry 2021; 26:6209-17. [PMID: 34728798 DOI: 10.1038/s41380-021-01335-3] [Citation(s) in RCA: 19] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 09/21/2021] [Accepted: 09/29/2021] [Indexed: 12/31/2022]
Abstract
The growing prevalence of opioid use disorder (OUD) constitutes an urgent health crisis. Ample evidence indicates that risk for OUD is heritable. As a surrogate (or proxy) for OUD, we explored the genetic basis of using prescription opioids 'not as prescribed'. We hypothesized that misuse of opiates might be a heritable risk factor for OUD. To test this hypothesis, we performed a genome-wide association study (GWAS) of problematic opioid use (POU) in 23andMe research participants of European ancestry (N = 132,113; 21% cases). We identified two genome-wide significant loci (rs3791033, an intronic variant of KDM4A; rs640561, an intergenic variant near LRRIQ3). POU showed positive genetic correlations with the two largest available GWAS of OUD and opioid dependence (rg = 0.64, 0.80, respectively). We also identified numerous additional genetic correlations with POU, including alcohol dependence (rg = 0.74), smoking initiation (rg = 0.63), pain relief medication intake (rg = 0.49), major depressive disorder (rg = 0.44), chronic pain (rg = 0.42), insomnia (rg = 0.39), and loneliness (rg = 0.28). Although POU was positively genetically correlated with risk-taking (rg = 0.38), conditioning POU on risk-taking did not substantially alter the magnitude or direction of these genetic correlations, suggesting that POU does not simply reflect a genetic tendency towards risky behavior. Lastly, we performed phenome- and lab-wide association analyses, which uncovered additional phenotypes that were associated with POU, including respiratory failure, insomnia, ischemic heart disease, and metabolic and blood-related biomarkers. We conclude that opioid misuse can be measured in population-based cohorts and provides a cost-effective complementary strategy for understanding the genetic basis of OUD.
Collapse
|
16
|
Song W, Kossowsky J, Torous J, Chen CY, Huang H, Mukamal KJ, Berde CB, Bates DW, Wright A. Genome-wide association analysis of opioid use disorder: A novel approach using clinical data. Drug Alcohol Depend 2020; 217:108276. [PMID: 32961455 PMCID: PMC7736461 DOI: 10.1016/j.drugalcdep.2020.108276] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/24/2020] [Revised: 08/27/2020] [Accepted: 08/30/2020] [Indexed: 11/28/2022]
Abstract
BACKGROUND Opioid use disorder (OUD) represents a large and pervasive global public health challenge. Previous genetic studies have demonstrated the significant heritability of OUD and identified several single-nucleotide polymorphisms (SNPs) associated with its prevalence. METHODS In this paper, we conducted a genome-wide association analysis on opioid use disorder that leveraged genetic and clinical data contained in a biobank of 21,310 patients of European ancestry. We identified 1039 cases of opioid use disorder based on diagnostic codes from nearly 16 million encounters in electronic health records (EHRs). RESULTS We discovered one novel OUD-associated locus on chromosome 4 that was significant at a genome-wide threshold (p = 2.40 × 10-8). Heritability analysis suggested that common SNPs explained 0.06 (se 0.02, p = 0.0065) of the phenotypic variation in OUD. When we restricted controls to those with previous opioid prescriptions, we were able to further strengthen the original signal and discovered another significant locus on chromosome 16. Pair-wise genetic correlation analysis yielded strong positive correlations between OUD and two other major substance use disorders, alcohol and nicotine, with the strongest correlation between nicotine and opioid use disorder (genetic correlation 0.65, se = 0.19, p = 0.00048), suggesting a significant shared genetic component across different substance disorders. CONCLUSIONS This pragmatic, clinically-focused approach may supplement more traditional methods to facilitate identification of new genetic underpinnings of OUD and related disorders.
Collapse
Affiliation(s)
- Wenyu Song
- Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, United States; Department of Biomedical Informatics, Harvard Medical School, United States; Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard, United States.
| | - Joe Kossowsky
- Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children’s Hospital, Harvard Medical School,Division of Clinical Psychology and Psychotherapy, University of Basel
| | - John Torous
- Department of Psychiatry, Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Chia-Yen Chen
- Psychiatric and Neurodevelopmental Genetics Unit, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
| | - Hailiang Huang
- Psychiatric and Neurodevelopmental Genetics Unit, Analytic and Translational Genetics Unit, Massachusetts General Hospital, Harvard Medical School,Stanley Center for Psychiatric Research, Broad Institute of MIT and Harvard
| | - Kenneth J. Mukamal
- Department of Medicine, Beth Israel Deaconess Medical Center, Harvard Medical School
| | - Charles B. Berde
- Department of Anesthesiology, Critical Care & Pain Medicine, Boston Children’s Hospital, Harvard Medical School
| | - David W. Bates
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School,Partners eCare, Partners HealthCare
| | - Adam Wright
- Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School,Department of Biomedical Informatics, Harvard Medical School,Department of Biomedical Informatics, Vanderbilt University Medical Center,Partners eCare, Partners HealthCare
| |
Collapse
|
17
|
Kozlenkov A, Vermunt MW, Apontes P, Li J, Hao K, Sherwood CC, Hof PR, Ely JJ, Wegner M, Mukamel EA, Creyghton MP, Koonin EV, Dracheva S. Evolution of regulatory signatures in primate cortical neurons at cell-type resolution. Proc Natl Acad Sci U S A 2020; 117:28422-28432. [PMID: 33109720 PMCID: PMC7668098 DOI: 10.1073/pnas.2011884117] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/27/2022] Open
Abstract
The human cerebral cortex contains many cell types that likely underwent independent functional changes during evolution. However, cell-type-specific regulatory landscapes in the cortex remain largely unexplored. Here we report epigenomic and transcriptomic analyses of the two main cortical neuronal subtypes, glutamatergic projection neurons and GABAergic interneurons, in human, chimpanzee, and rhesus macaque. Using genome-wide profiling of the H3K27ac histone modification, we identify neuron-subtype-specific regulatory elements that previously went undetected in bulk brain tissue samples. Human-specific regulatory changes are uncovered in multiple genes, including those associated with language, autism spectrum disorder, and drug addiction. We observe preferential evolutionary divergence in neuron subtype-specific regulatory elements and show that a substantial fraction of pan-neuronal regulatory elements undergoes subtype-specific evolutionary changes. This study sheds light on the interplay between regulatory evolution and cell-type-dependent gene-expression programs, and provides a resource for further exploration of human brain evolution and function.
Collapse
Affiliation(s)
- Alexey Kozlenkov
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Marit W Vermunt
- Hubrecht Institute, University Medical Center Utrecht, 3584 CT Utrecht, The Netherlands
| | - Pasha Apontes
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468
| | - Junhao Li
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - Chet C Sherwood
- Department of Anthropology and Center for the Advanced Study of Human Paleobiology, The George Washington University, Washington, DC 20052
| | - Patrick R Hof
- Nash Family Department of Neuroscience, Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| | - John J Ely
- Alamogordo Primate Facility, Holloman Air Force Base, Alamogordo, NM 88330
| | - Michael Wegner
- Institut für Biochemie, Emil-Fischer-Zentrum, Friedrich-Alexander Universität Erlangen-Nürnberg, 91054 Erlangen, Germany
| | - Eran A Mukamel
- Department of Cognitive Science, University of California San Diego, La Jolla, CA 92037
| | - Menno P Creyghton
- Hubrecht Institute, University Medical Center Utrecht, 3584 CT Utrecht, The Netherlands;
- Department of Developmental Biology, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands
| | - Eugene V Koonin
- National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894
| | - Stella Dracheva
- Research & Development, James J. Peters VA Medical Center, Bronx, NY 10468;
- Friedman Brain Institute and Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY 10029
| |
Collapse
|
18
|
Kringel D, Kaunisto MA, Kalso E, Lötsch J. Machine-learned analysis of the association of next-generation sequencing-based genotypes with persistent pain after breast cancer surgery. Pain 2019; 160:2263-77. [PMID: 31107411 DOI: 10.1097/j.pain.0000000000001616] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Cancer and its surgical treatment are among the most important triggering events for persistent pain, but additional factors need to be present for the clinical manifestation, such as variants in pain-relevant genes. In a cohort of 140 women undergoing breast cancer surgery, assigned based on a 3-year follow-up to either a persistent or nonpersistent pain phenotype, next-generation sequencing was performed for 77 genes selected for known functional involvement in persistent pain. Applying machine-learning and item categorization techniques, 21 variants in 13 different genes were found to be relevant to the assignment of a patient to either the persistent pain or the nonpersistent pain phenotype group. In descending order of importance for correct group assignment, the relevant genes comprised DRD1, FAAH, GCH1, GPR132, OPRM1, DRD3, RELN, GABRA5, NF1, COMT, TRPA1, ABHD6, and DRD4, of which one in the DRD4 gene was a novel discovery. Particularly relevant variants were found in the DRD1 and GPR132 genes, or in a cis-eCTL position of the OPRM1 gene. Supervised machine-learning-based classifiers, trained with 2/3 of the data, identified the correct pain phenotype group in the remaining 1/3 of the patients at accuracies and areas under the receiver operator characteristic curves of 65% to 72%. When using conservative classical statistical approaches, none of the variants passed α-corrected testing. The present data analysis approach, using machine learning and training artificial intelligences, provided biologically plausible results and outperformed classical approaches to genotype-phenotype association.
Collapse
|
19
|
Sandoval-Sierra JV, Salgado García FI, Brooks JH, Derefinko KJ, Mozhui K. Effect of short-term prescription opioids on DNA methylation of the OPRM1 promoter. Clin Epigenetics 2020; 12:76. [PMID: 32493461 PMCID: PMC7268244 DOI: 10.1186/s13148-020-00868-8] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2020] [Accepted: 05/19/2020] [Indexed: 12/14/2022] Open
Abstract
Background A long-term opioid use has been associated with hypermethylation of the opioid receptor mu 1 (OPRM1) promoter. Very little is currently known about the early epigenetic response to therapeutic opioids. Here, we examine whether we can detect DNA methylation changes associated with a few days’ use of prescribed opioids. Genome-wide DNA methylation was assayed in a cohort of 33 opioid-naïve participants who underwent standard dental surgery followed by opioid self-administration. Saliva samples were collected before surgery (visit 1), and at two postsurgery visits at 2.7 ± 1.5 days (visit 2), and 39 ± 10 days (visit 3) after the discontinuation of opioid analgesics. Results The perioperative methylome underwent significant changes over the three visits that were primarily due to postoperative inflammatory response and cell heterogeneity. To specifically examine the effect of opioids, we started with a candidate gene approach and evaluated 10 CpGs located in the OPRM1 promoter. There was a significant cross-sectional variability in opioid use, and for participants who self-administered the prescribed drugs, the total dosage ranged from 5–210 morphine milligram equivalent (MME). Participants were categorized by cumulative dosage into three groups: < 25 MME, 25–90 MME, and ≥ 90 MME. Using mixed-effects modeling, 4 CpGs had significant positive associations with opioid dose at two-tailed p value < 0.05, and overall, 9 of the 10 OPRM1 promoter CpGs showed the predicted higher methylation in the higher dose groups relative to the lowest dose group. After adjustment for age, cellular heterogeneity, and past tobacco use, the promoter mean methylation also had positive associations with cumulative MME (regression coefficient = 0.0002, one-tailed p value = 0.02) and duration of opioid use (regression coefficient = 0.003, one-tailed p value = 0.001), but this effect was significant only for visit 3. A preliminary epigenome-wide association study identified a significant CpG in the promoter of the RAS-related signaling gene, RASL10A, that may be predictive of opioid dosage. Conclusion The present study provides evidence that the hypermethylation of the OPRM1 promoter is in response to opioid use and that epigenetic differences in OPRM1 and other sites are associated with a short-term use of therapeutic opioids.
Collapse
Affiliation(s)
- Jose Vladimir Sandoval-Sierra
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Francisco I Salgado García
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Jeffrey H Brooks
- Department of Oral and Maxillofacial Surgery, College of Dentistry, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Karen J Derefinko
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA
| | - Khyobeni Mozhui
- Department of Preventive Medicine, College of Medicine, University of Tennessee Health Science Center, Memphis, Tennessee, USA.
| |
Collapse
|
20
|
Koijam AS, Chakraborty B, Mukhopadhyay K, Rajamma U, Haobam R. A single nucleotide polymorphism in OPRM1(rs483481) and risk for heroin use disorder. J Addict Dis 2020; 38:214-222. [PMID: 32189578 DOI: 10.1080/10550887.2020.1740070] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
Opioid receptor mu1 (OPRM1) is the target of many opioid drugs, and it is known to have affinity toward both endogenous and exogenous opioids, opiate and opioid analgesic drugs. The present study was undertaken to explore association of single nucleotide polymorphisms (SNPs) in the OPRM1 gene with heroin use disorder. Ten OPRM1 polymorphisms were analyzed in 132 cases and 147 healthy controls. The SNP rs483481 showed significant allelic, genotypic and haplotypic association (Allelic: p-value = 0.003, OR = 1.75, CI = 1.21-2.55) (Genotypic: p-value = 0.003, OR = 1.72, CI = 1.08-2.75) with heroin use disorder. Allelic and genotypic association remained significant even after multiple testing corrections with 1000 permutations. A significant positive correlation between 'Number of times drug abstained' and 'rs483481-AA genotype' (p-value = 0.002; Pearson correlation = 0.265) was also observed. One-way ANOVA analysis demonstrated significant association of rs483481 with 'number of times drug abstained' (F = 4.86, p-value =0.009). 'A' allele and 'AA' genotype of marker rs483481 seem to confer protective effect while 'G' allele and 'GG' genotype potentiates risk for heroin use disorder. OPRM1 is found to be associated with heroin use disorder in the studied Manipuri cohort. The study suggests that individuals with G allele and GG genotypes at rs483481 could be more vulnerable to heroin dependence, and it could be taken into consideration in prevention and intervention programs.
Collapse
Affiliation(s)
| | - Barnali Chakraborty
- Manovikas Biomedical Research & Diagnostic Centre, Manovikas Kendra, Kolkata, West Bengal, India
| | - Kanchan Mukhopadhyay
- Manovikas Biomedical Research & Diagnostic Centre, Manovikas Kendra, Kolkata, West Bengal, India
| | - Usha Rajamma
- Manovikas Biomedical Research & Diagnostic Centre, Manovikas Kendra, Kolkata, West Bengal, India.,Centre for Development & Aging Research, Inter University Centre for Biomedical Research & Super Speciality Hospital (IUCBR&SSH), MG University Campus at Thalappady, Kottayam, Kerala, India
| | - Reena Haobam
- Department of Biotechnology, Manipur University, Imphal, Manipur, India
| |
Collapse
|
21
|
Balyan R, Hahn D, Huang H, Chidambaran V. Pharmacokinetic and pharmacodynamic considerations in developing a response to the opioid epidemic. Expert Opin Drug Metab Toxicol 2020; 16:125-141. [PMID: 31976778 PMCID: PMC7199505 DOI: 10.1080/17425255.2020.1721458] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Accepted: 01/22/2020] [Indexed: 12/14/2022]
Abstract
Introduction: Opioids continue to be used widely for pain management. Widespread availability of prescription opioids has led to opioid abuse and addiction. Besides steps to reduce inappropriate prescribing, exploiting opioid pharmacology to make their use safer is important.Areas covered: This article discusses the pathology and factors underlying opioid abuse. Pharmacokinetic and pharmacodynamic properties affecting abuse liability of commonly abused opioids have been highlighted. These properties inform the development of ideal abuse deterrent products. Mechanisms and cost-effectiveness of available abuse deterrent products have been reviewed in addition to the pharmacology of medications used to treat addiction.Expert opinion: The opioid crisis presents unique challenges to managing pain effectively given the limited repertoire of strong analgesics. The 5-point strategy to combat the opioid crisis calls for better preventive, treatment, and recovery services, better data, better pain management, better availability of overdose-reversing drugs and better research. There is an urgent need to decrease the cost of abuse deterrent opioids which deters their cost-effectiveness. In addition, discovery of novel analgesics, further insight into central and peripheral pain mechanisms, understanding genomic risk profiles for efficient targeted efforts, and education will be key to winning this fight against the opioid crisis.
Collapse
Affiliation(s)
- Rajiv Balyan
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
- Division of Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - David Hahn
- Division of Clinical Pharmacology, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - Henry Huang
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
| | - Vidya Chidambaran
- Department of Anesthesia, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA
- Department of Pediatrics, College of Medicine, University of Cincinnati, Cincinnati, USA
| |
Collapse
|
22
|
Sun Q, Zhao Y, Zhang K, Su H, Chen T, Jiang H, Du J, Zhong N, Yu S, Zhao M. An association study between methamphetamine use disorder with psychosis and polymorphisms in MiRNA. Neurosci Lett 2020; 717:134725. [PMID: 31881254 DOI: 10.1016/j.neulet.2019.134725] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/23/2019] [Revised: 12/19/2019] [Accepted: 12/23/2019] [Indexed: 12/29/2022]
Abstract
BACKGROUND Methamphetamine (MA) is an addictive psychostimulant substance that mainly leads to schizophrenia-like psychotic symptoms. The expression of miRNAs in brain plays an important role in neurological disorders and may affect by genetic variant(s) in the target site (MiRSNPs). In this study, we investigated whether polymorphisms in miRNAs are associated with MA disorder with psychosis. METHODS We carried out a case-control association study in 400 MA users with psychotic characters and 448 controls. Six MiRSNPs with predicted functional relevance miRNAs (miR-181b, miR-181a, miR-15b, miR-let-7e and miRlet-7d) were selected for genotyping. Allele and genotype frequencies were compared between MA users and healthy individuals. The expression of five miRNAs were measured by quantitative real-time RT-PCR in 55 cases and 57 controls. We also explored an expression Quantitative Trait Loci (eQTL) analysis based on the miRNAs expression and SNP genotype. RESULTS The SNP rs10760371 within miR-181a was nominally associated with MA disorder (P = 0.046). For rs1099308, rs10760371 and rs10993081 in strong linkage disequilibrium (LD), no significant association had been detected from haplotype analysis. Discrepancy had been found between MA users and healthy individuals (P < 0.01) in terms of the expression of miR-181a, miR-15b, miR-let-7e and miR-let-7d. and no noticeable difference had been found from the eQTL analysis. CONCLUSION Our findings suggest that rs10760371 within miR-181a may relate to the development of MA dependence with psychosis. The miRNAs expression is unlikely to be regulated by the SNPs within it.
Collapse
Affiliation(s)
- Qianqian Sun
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China.
| | - Yan Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Kai Zhang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Hang Su
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Tianzhen Chen
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Haifeng Jiang
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Jiang Du
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Na Zhong
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China
| | - Shunying Yu
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China.
| | - Min Zhao
- Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, 600 South Wanping Rd., Shanghai 200030, China; Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China; Institute of Psychological and Behavioral Science, Shanghai Jiao Tong University, Shanghai, China.
| |
Collapse
|
23
|
Abstract
Opioid use disorder (OUD) is a chronic relapsing disorder that, whilst initially driven by activation of brain reward neurocircuits, increasingly engages anti-reward neurocircuits that drive adverse emotional states and relapse. However, successful recovery is possible with appropriate treatment, although with a persisting propensity to relapse. The individual and public health burdens of OUD are immense; 26.8 million people were estimated to be living with OUD globally in 2016, with >100,000 opioid overdose deaths annually, including >47,000 in the USA in 2017. Well-conducted trials have demonstrated that long-term opioid agonist therapy with methadone and buprenorphine have great efficacy for OUD treatment and can save lives. New forms of the opioid receptor antagonist naltrexone are also being studied. Some frequently used approaches have less scientifically robust evidence but are nevertheless considered important, including community preventive strategies, harm reduction interventions to reduce adverse sequelae from ongoing use and mutual aid groups. Other commonly used approaches, such as detoxification alone, lack scientific evidence. Delivery of effective prevention and treatment responses is often complicated by coexisting comorbidities and inadequate support, as well as by conflicting public and political opinions. Science has a crucial role to play in informing public attitudes and developing fuller evidence to understand OUD and its associated harms, as well as in obtaining the evidence today that will improve the prevention and treatment interventions of tomorrow.
Collapse
|
24
|
Rezaeifar A, Dahmardeh F. The Effect of OPRM1 rs648893 Gene Polymorphism on Opioid Addiction in an Iranian population in Zabol: A Case-Control Study. Int J Basic Sci Med 2019. [DOI: 10.34172/ijbsm.2019.04] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [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.
Collapse
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
| |
Collapse
|
25
|
Taqi MM, Faisal M, Zaman H. OPRM1 A118G Polymorphisms and Its Role in Opioid Addiction: Implication on Severity and Treatment Approaches. Pharmgenomics Pers Med 2019; 12:361-368. [PMID: 31819591 PMCID: PMC6885558 DOI: 10.2147/pgpm.s198654] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 07/29/2019] [Accepted: 11/13/2019] [Indexed: 12/14/2022]
Abstract
The epidemic of opioid addiction is shaping up as the most serious clinical issues of current times. Opioids have the greatest propensity to develop addiction after first exposure. Molecular, genetic variations, epigenetic alterations, and environmental factors are also implicated in the development of opioid addiction. Genetic and epigenetic variations in candidate genes have been identified for their associations with opioid addiction. OPRM1 nonsynonymous single nucleotide polymorphism rs1799971 (A118G) is the most prominent candidate due to its significant association with onset and treatment of opioid addiction. Marked inter-individual variability in response to available maintenance pharmacotherapies is the common feature observed in individuals with opioid addiction. Several therapies are only effective among subgroups of opioid individuals which indicate that ethnic, environmental factors and genetic polymorphism including rs1799971 may be responsible for the response to treatment. Pharmacogenetics has the potential to enhance our understanding around the underlying genetic, epigenetic and molecular mechanisms responsible for the heterogeneous response of maintenance pharmacotherapies in opioid addiction. A more detailed understanding of molecular, epigenetic and genetic variants especially the implication of OPRM1 A118G polymorphism in an individual may serve as the way forward to address the opioid epidemic. Personalized medicine, which involves developing targeted pharmacotherapies in accordance with individual genetic and epigenetic makeup, are required to develop safe and effective treatments for opioid addiction.
Collapse
Affiliation(s)
- Malik Mumtaz Taqi
- Division of Mental Health and Addiction, University of Oslo, Oslo, Norway
| | - Muhammad Faisal
- Faculty of Health Studies, University of Bradford, Bradford, UK.,Bradford Institute for Health Research, Bradford Teaching Hospitals NHS Foundation Trust, Bradford, UK
| | - Hadar Zaman
- School of Pharmacy and Medical Sciences, Faculty of Life Sciences, University of Bradford, Bradford, UK
| |
Collapse
|
26
|
Abstract
Drug addiction is a worldwide societal problem and public health burden, and results from recreational drug use that develops into a complex brain disorder. The opioid system, one of the first discovered neuropeptide systems in the history of neuroscience, is central to addiction. Recently, opioid receptors have been propelled back on stage by the rising opioid epidemics, revolutions in G protein-coupled receptor research and fascinating developments in basic neuroscience. This Review discusses rapidly advancing research into the role of opioid receptors in addiction, and addresses the key questions of whether we can kill pain without addiction using mu-opioid-receptor-targeting opiates, how mu- and kappa-opioid receptors operate within the neurocircuitry of addiction and whether we can bridge human and animal opioid research in the field of drug abuse.
Collapse
Affiliation(s)
- Emmanuel Darcq
- Douglas Mental Health Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada
| | - Brigitte Lina Kieffer
- Douglas Mental Health Institute, Department of Psychiatry, McGill University, Montreal, Quebec, Canada. .,Institut de Génétique et de Biologie Moléculaire et Cellulaire, INSERM, Centre National de la Recherche Scientifique and University of Strasbourg, Strasbourg, France.
| |
Collapse
|
27
|
Kaski SW, Brooks S, Wen S, Haut MW, Siderovski DP, Berry JH, Lander LR, Setola V. Four single nucleotide polymorphisms in genes involved in neuronal signaling are associated with Opioid Use Disorder in West Virginia. J Opioid Manag 2019; 15:103-109. [PMID: 31057342 DOI: 10.5055/jom.2019.0491] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
Objective Pilot study to assess utility in opioid use disorder (OUD) of a panel of single nucleotide polymorphisms in genes previously related to substance use disorder (SUD) and/or phenotypes that predispose individuals to OUD/SUD. Design Genetic association study. Setting West Virginia University's Chestnut Ridge Center Comprehensive Opioid Abuse Treatment (COAT) clinic for individuals diagnosed with OUD. Patients Sixty patients 18 years of age or older with OUD undergoing medication (buprenorphine/naloxone)-assisted treatment (MAT); all sixty patients recruited contributed samples for genetic analysis. Outcome Measures Minor allele frequencies for single nucleotide polymorphisms. Results Four of the fourteen single nucleotide polymorphisms examined were present at frequencies that are statistically significantly different than in a demographically-matched general population. Conclusions For the purposes of testing WV individuals via genetic means for predisposition to OUD, at least four single nucleotide polymorphisms in three genes are likely to have utility in predicting susceptibility. Additional studies with larger populations will need to be conducted to confirm these results before use in a clinical setting.
Collapse
Affiliation(s)
- Shane W Kaski
- Department of Physiology & Pharmacology, West Virginia University School of Medicine, Morgantown, WV
| | | | - Sijin Wen
- Department of Biostatistics, West Virginia University School of Public Health, Morgantown, WV
| | - Marc W Haut
- Department of Behavioral Medicine & Psychiatry, West Virginia University School of Medicine, Morgantown, WV
| | - David P Siderovski
- Department of Physiology & Pharmacology, West Virginia University School of Medicine, Morgantown, WV
| | - James H Berry
- Chestnut Ridge Center and Inpatient Acute Dual Diagnosis Program, West Virginia University School of Medicine, Morgantown, WV
| | - Laura R Lander
- West Virginia University School of Medicine, Morgantown, WV
| | - Vincent Setola
- Departments of Behavioral Medicine & Psychiatry, Neuroscience, and Physiology & Pharmacology, West Virginia University School of Medicine, Morgantown, WV
| |
Collapse
|
28
|
Abstract
Delineating the pathophysiology of psychiatric disorders has been extremely challenging but technological advances in recent decades have facilitated a deeper interrogation of molecular processes in the human brain. Initial candidate gene expression studies of the postmortem brain have evolved into genome wide profiling of the transcriptome and the epigenome, a critical regulator of gene expression. Here, we review the potential and challenges of direct molecular characterization of the postmortem human brain, and provide a brief overview of recent transcriptional and epigenetic studies with respect to neuropsychiatric disorders. Such information can now be leveraged and integrated with the growing number of genome-wide association databases to provide a functional context of trait-associated genetic variants linked to psychiatric illnesses and related phenotypes. While it is clear that the field is still developing and challenges remain to be surmounted, these recent advances nevertheless hold tremendous promise for delineating the neurobiological underpinnings of mental diseases and accelerating the development of novel medication strategies.
Collapse
Affiliation(s)
- Gabor Egervari
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Addiction Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, School of Medicine at Mount Sinai, New York, NY, USA
- Epigenetics Institute and Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA
| | - Alexey Kozlenkov
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Stella Dracheva
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA
- Friedman Brain Institute, School of Medicine at Mount Sinai, New York, NY, USA
- James J. Peters VA Medical Center, Bronx, NY, USA
| | - Yasmin L Hurd
- Department of Psychiatry, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Department of Neuroscience, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Addiction Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
- Friedman Brain Institute, School of Medicine at Mount Sinai, New York, NY, USA.
| |
Collapse
|
29
|
Huang CC, Kuo SC, Yeh TC, Yeh YW, Chen CY, Liang CS, Tsou CC, Lin CL, Ho PS, Huang SY. OPRD1 gene affects disease vulnerability and environmental stress in patients with heroin dependence in Han Chinese. Prog Neuropsychopharmacol Biol Psychiatry 2019; 89:109-116. [PMID: 30171993 DOI: 10.1016/j.pnpbp.2018.08.028] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/01/2018] [Revised: 08/24/2018] [Accepted: 08/25/2018] [Indexed: 12/24/2022]
Abstract
Exposure to stress not only increases the vulnerability to heroin dependence (HD) but also provokes relapse. The etiology of HD and the role of life stress remain unclear, but prior studies suggested that both genetic and environmental factors are important. Opioid related genes, including OPRM1, OPRD1, OPRK1, and POMC, are obvious candidates for HD. Therefore, this study was conducted to explore whether the genetic polymorphisms of the candidates could affect vulnerability to HD and response to life stress in patients with HD. Ten polymorphisms of the opioid related genes were analyzed in 801 patients and 530 controls. The Life Event Questionnaire was used to assess the perspective and response to life stress in the past year. The genotype distribution and allelic frequency analyses showed that the minor C allele of rs2234918 in OPRD1 is over-represented in the HD group (P = .006 and P = .002, respectively). This finding was further confirmed by logistic regression analysis, showing that C allele carriers have a 1.42 times greater risk for HD compared to T/T homozygotes. A subgroup of 421 patients and 135 controls were eligible for life stress assessment. Patients with HD have a higher occurrence of negative events (No), negative events score (Ns), and average negative event score (Na) than those of controls (all P < .001), but there was no difference regarding positive recent events between the two groups. Gene-stress assessment in the HD group showed that T/T homozygotes of OPRD1 rs2236857 have more severe stress than C allele carriers (Ns, P = .004 and Na, P = .047). Our results indicate that the OPRD1 gene may not only play a role in the pathogenesis of HD but also affect the response to life stress among patients with HD in our Han Chinese population. Patients with the risk genotype may need additional psychosocial intervention for relapse prevention.
Collapse
Affiliation(s)
- Chang-Chih Huang
- Department of Psychiatry, Taipei Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, New Taipei City, Taiwan; Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan
| | - Shin-Chang Kuo
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan
| | - Ta-Chuan Yeh
- Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan
| | - Yi-Wei Yeh
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan
| | - Chun-Yen Chen
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan
| | - Chih-Sung Liang
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, Taipei, Taiwan
| | - Chang-Chih Tsou
- Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan
| | - Chun-Long Lin
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Taoyuan Armed Forces General Hospital, Taoyuan, Taiwan
| | - Pei-Shen Ho
- Department of Psychiatry, Beitou Branch, Tri-Service General Hospital, Taipei, Taiwan
| | - San-Yuan Huang
- Graduate Institute of Medical Sciences, National Defense Medical Center, Taipei, Taiwan; Department of Psychiatry, Tri-Service General Hospital, Taipei, Taiwan.
| |
Collapse
|
30
|
Abstract
Psychiatric disorders such as addiction (substance use and addictive disorders), depression, eating disorders, schizophrenia, and post-traumatic stress disorder (PTSD) are severe, complex, multifactorial mental disorders that carry a high social impact, enormous public health costs, and various comorbidities as well as premature morbidity. Their neurobiological foundation is still not clear. Therefore, it is difficult to uncover new set of genes and possible genetic markers of these disorders since the understanding of the molecular imbalance leading to these disorders is not complete. The integrative approach is needed which will combine genomics and epigenomics; evaluate epigenetic influence on genes and their influence on neuropeptides, neurotransmitters, and hormones; examine gene × gene and gene × environment interplay; and identify abnormalities contributing to development of these disorders. Therefore, novel genetic approaches based on systems biology focused on improvement of the identification of the biological underpinnings might offer genetic markers of addiction, depression, eating disorders, schizophrenia, and PTSD. These markers might be used for early prediction, detection of the risk to develop these disorders, novel subtypes of the diseases and tailored, personalized approach to therapy.
Collapse
Affiliation(s)
- Gordana Nedic Erjavec
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Dubravka Svob Strac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Lucija Tudor
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Marcela Konjevod
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia
| | - Marina Sagud
- School of Medicine, University of Zagreb, Salata 2, HR-10000, Zagreb, Croatia
- Department of Psychiatry, University Hospital Centre Zagreb, Kispaticeva 12, HR-10000, Zagreb, Croatia
| | - Nela Pivac
- Division of Molecular Medicine, Rudjer Boskovic Institute, Bijenicka 54, HR-10000, Zagreb, Croatia.
| |
Collapse
|
31
|
Abstract
Opioid overdoses recently became the leading cause of accidental death in the US, marking an increase in the severity of the opioid use disorder (OUD) epidemic that is impacting global health. Current treatment protocols for OUD are limited to opioid medications, including methadone, buprenorphine, and naltrexone. While these medications are effective in many cases, new treatments are required to more effectively address the rising societal and interpersonal costs associated with OUD. In this article, we review the opioid and cholinergic systems, and examine the potential of acetylcholine (ACh) as a treatment target for OUD. The cholinergic system includes enzymes that synthesize and degrade ACh and receptors that mediate the effects of ACh. ACh is involved in many central nervous system functions that are critical to the development and maintenance of OUD, such as reward and cognition. Medications that target the cholinergic system have been approved for the treatment of Alzheimer's disease, tobacco use disorder, and nausea. Clinical and preclinical studies suggest that medications such as cholinesterase inhibitors and scopolamine, which target components of the cholinergic system, show promise for the treatment of OUD and further investigations are warranted.
Collapse
Affiliation(s)
- Kevin P Jensen
- Department of Psychiatry and VA Connecticut Healthcare System, Yale University, School of Medicine, 950 Campbell Ave, Bldg 36/116A4, West Haven, CT, 06516, USA
| | - Elise E DeVito
- Department of Psychiatry and VA Connecticut Healthcare System, Yale University, School of Medicine, 950 Campbell Ave, Bldg 36/116A4, West Haven, CT, 06516, USA
| | - Sarah Yip
- Department of Psychiatry and VA Connecticut Healthcare System, Yale University, School of Medicine, 950 Campbell Ave, Bldg 36/116A4, West Haven, CT, 06516, USA
| | - Kathleen M Carroll
- Department of Psychiatry and VA Connecticut Healthcare System, Yale University, School of Medicine, 950 Campbell Ave, Bldg 36/116A4, West Haven, CT, 06516, USA
| | - Mehmet Sofuoglu
- Department of Psychiatry and VA Connecticut Healthcare System, Yale University, School of Medicine, 950 Campbell Ave, Bldg 36/116A4, West Haven, CT, 06516, USA.
| |
Collapse
|
32
|
Peng S, Jiang H, Du J, Lin S, Pan S, Yu S, Zhao M. Methadone Dosage and Plasma Levels, SNPs of OPRM1 Gene and Age of First Drug Use Were Associated With Outcomes of Methadone Maintenance Treatment. Front Genet 2018; 9:450. [PMID: 30420869 PMCID: PMC6216325 DOI: 10.3389/fgene.2018.00450] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2017] [Accepted: 09/18/2018] [Indexed: 01/25/2023] Open
Abstract
Objective: To explore the association between methadone dosage, plasma drug concentration, SNPs of μ-opioid receptor gene (OPRM1), ATP-binding cassette subfamily B member 1 gene (ABCB1), and methadone maintenance treatment (MMT) response. Method: A total of 240 Chinese Han participants receiving MMT were recruited from Shanghai. Nine single nucleotide polymorphisms (SNPs) of the OPRM1 gene and three SNPs of the ABCB1 gene were genotyped, plasma methadone concentration was detected, and a morphine urine test was taken from all subjects. Results: Methadone dosage, plasma methadone concentration, and negative rate of morphine urine test of retention participants were significantly higher, although the addiction severity index (ASI) was not significantly different between the two groups. A allele and AA genotype carriers of rs562859 (OPRM1 gene) had better compliance of MMT, and AA genotype carriers had a higher negative rate of morphine urine test. However, the difference was not significant after adjusting influence factors (age, sex, and methadone dosage). GG genotype carriers of rs3192723 (OPRM1 gene) had a significantly lower negative rate of morphine urine test, and the difference was still significant after adjusting influence factors. Logistic regression analysis showed that methadone-free trough concentration (OR = 0.910, p = 0.023) and AA genotype of rs526859 (OR = 0.580, p = 0.037) were associated with better compliance of MMT. After Bonferroni correction, only free trough concentration of methadone was negatively correlated with MMT compliance. The SNPs rs6912029 (OR = 0.021, p = 0.066) and rs6902403 (OR = 0.910, p = 0.007) of the OPRM1 gene, age at first use (OR = 1.118, p = 0.005), and average methadone dosage (OR = 1.033, p = 0.045) were associated with MMT effect. After Bonferroni correction, average methadone dosage was no longer correlated with MMT effect. Conclusion: Dosage of methadone, plasma methadone concentration, several SNPs (rs3192723, rs6912029, rs6902403) of the OPRM1 gene, and age of first drug use were associated with better MMT outcomes.
Collapse
Affiliation(s)
- Sufang Peng
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Haifeng Jiang
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jiang Du
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shuxing Lin
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shujun Pan
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Shunying Yu
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Zhao
- The Collaborative Innovation Center for Brain Science, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai, China.,Shanghai Key Laboratory of Psychotic Disorders, Shanghai, China.,Brain Science and Technology Research Center, Shanghai Jiao Tong University, Shanghai, China
| |
Collapse
|
33
|
Abstract
The opioid epidemic is at the epicenter of the drug crisis, resulting in an inconceivable number of overdose deaths and exorbitant associated medical costs that have crippled many communities across the socioeconomic spectrum in the United States. Classic medications for the treatment of opioid use disorder predominantly target the opioid system and thus have been underutilized, in part due to their own potential for abuse and heavy regulatory burden for patients and clinicians. Opioid antagonists are now evolving in their use, not only to prevent acute overdoses but as extended-use treatment options. Strategies that target specific genetic and epigenetic factors, along with novel nonopioid medications, hold promise as future therapeutic interventions for opioid abuse. Success in increasing the treatment options in the clinical toolbox will, hopefully, help to end the historical pattern of recurring opioid epidemics. [AJP at 175: Remembering Our Past As We Envision Our Future Drug Addiction in Relation to Problems of Adolescence Zimmering and colleagues wrote in the midst of an opiate epidemic among young people that "only the human being, or rather certain types of human beings, will return to the enslaving, self-destructive habit." (Am J Psychiatry 1952; 109:272-278 )].
Collapse
Affiliation(s)
- Yasmin L. Hurd
- Departments of Psychiatry and Neuroscience, Icahn School of Medicine, Addiction Institute, Mount Sinai Behavioral Health System, New York
| | - Charles P. O’Brien
- Department of Psychiatry, University of Pennsylvania, Philadelphia, Pennsylvania
| |
Collapse
|
34
|
Abstract
Increased physician prescribing of opioids to treat chronic nonprogressive pain has been accompanied by an increase in opioid addiction. Twin studies of opioid addiction are consistent with an inherited component of risk, approximately 50%. Several genome-wide association study (GWAS) reports indicate that genetic risk for opioid addiction is conveyed by many alleles of small effect (odds ratios <1.5). These reports have detected alleles in potassium-ion-channel genes (KCNC1 and KCNG2) and in a glutamate receptor auxiliary protein (CNIH3). Additionally, a variant at the µ-opioid receptor gene (OPRM1), which regulates OPRM1 expression appears promising. In pharmacogenetics of opioid addictions, methadone dose may be regulated by variants in cytochrome P450 2B6 (CYP2B6), a methadone-metabolizing enzyme, and by a locus 300 kb 5' to OPRM1. A δ-opioid-receptor gene single-nucleotide polymorphism may predict treatment response to methadone versus buprenorphine. To achieve better progress, larger sample sizes are needed for GWAS research, including controls with chronic opioid exposure, but no addiction. Large clinical trials comparing effective pharmacotherapies for opioid addiction (naltrexone, methadone, and buprenorphine) are needed for pharmacogenetic progress.
Collapse
Affiliation(s)
- Wade Berrettini
- Karl E. Rickels Professor of Psychiatry, Perelman School of Medicine, University of Pennsylvania, USA
| |
Collapse
|
35
|
Crist RC, Reiner BC, Berrettini WH. A review of opioid addiction genetics. Curr Opin Psychol 2018; 27:31-35. [PMID: 30118972 DOI: 10.1016/j.copsyc.2018.07.014] [Citation(s) in RCA: 62] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2018] [Revised: 07/20/2018] [Accepted: 07/31/2018] [Indexed: 01/04/2023]
Abstract
Opioid use disorder (OUD) affects millions of people worldwide and the risk of developing the disorder has a significant genetic component according to twin and family studies. Identification of the genetic variants underlying this inherited risk has focused on two different methods: candidate gene studies and genome-wide association studies (GWAS). The most studied candidate genes have included the mu-opioid receptor (OPRM1), the delta-opioid receptor (OPRD1), the dopamine D2 receptor (DRD2), and brain-derived neurotrophic factor (BDNF). Variants in these genes have been associated with relatively small, but reproducible, effects on OUD risk. More recently, GWAS have identified potential associations with variants in KCNG2, KCNC1, CNIH3, APBB2, and RGMA. In total the genetic associations identified so far explain only a small portion of OUD risk. GWAS of OUD is still in the early stages when compared to studies of other psychiatric disorders, such as schizophrenia, which have found many relevant variants with small effect sizes only after large meta-analyses. Substantial increases in cohort sizes will likely be necessary in the OUD field to achieve similar results. In addition, it will be important for future studies of OUD to incorporate rare variants, epigenetics, and gene × environment interactions into models in order to better explain the observed heritability.
Collapse
Affiliation(s)
- Richard C Crist
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
| | - Benjamin C Reiner
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| | - Wade H Berrettini
- Center for Neurobiology and Behavior, Department of Psychiatry, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA
| |
Collapse
|
36
|
Wilson‐Poe AR, Morón JA. The dynamic interaction between pain and opioid misuse. Br J Pharmacol 2018; 175:2770-2777. [PMID: 28602044 PMCID: PMC6016619 DOI: 10.1111/bph.13873] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Revised: 04/21/2017] [Accepted: 05/09/2017] [Indexed: 12/22/2022] Open
Abstract
In 2014, drug overdose surpassed automobile accidents as the number one cause of accidental death for the first time in the history of the United States. The overdose epidemic is largely driven by opioids, and genuine prescription opioid analgesics play the biggest role in this phenomenon. Despite advancements in abuse deterrent formulations, prescription drug monitoring programmes and clinical assessments for the detection of abuse potential, drug overdoses continue to escalate. The Center for Disease Control has recently issued new guidelines for opioid prescription, yet even these recommendations have their shortcomings. Furthermore, undertreated pain in patients with comorbid substance use disorder poses a major clinical challenge, particularly for patients on opioid replacement therapy. Despite the seemingly obvious interaction between the presence of pain and the abuse of pain-relieving opioids, there is surprisingly little mechanistic data to further our understanding of this vitally important topic. The need for novel pain interventions that minimize abuse liability is critical. Without a fundamental characterization of pain neurobiology and the interaction between chronic pain and the brain's reward system, we are unlikely to make progress in the alleviation of the opioid epidemic. LINKED ARTICLES This article is part of a themed section on Emerging Areas of Opioid Pharmacology. To view the other articles in this section visit http://onlinelibrary.wiley.com/doi/10.1111/bph.v175.14/issuetoc.
Collapse
Affiliation(s)
- Adrianne R Wilson‐Poe
- Pain Center, Department of AnesthesiologyWashington University School of MedicineSt. LouisMOUSA
| | - Jose A Morón
- Pain Center, Department of AnesthesiologyWashington University School of MedicineSt. LouisMOUSA
| |
Collapse
|
37
|
Lee JS, Sorcher JL, Rosen AD, Damadzic R, Sun H, Schwandt M, Heilig M, Kelly J, Mauro KL, Luo A, Rosoff D, Muench C, Jung J, Kaminsky ZA, Lohoff FW. Genetic Association and Expression Analyses of the Phosphatidylinositol-4-Phosphate 5-Kinase (PIP5K1C) Gene in Alcohol Use Disorder-Relevance for Pain Signaling and Alcohol Use. Alcohol Clin Exp Res 2018; 42:1034-1043. [PMID: 29667742 PMCID: PMC6134400 DOI: 10.1111/acer.13751] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2017] [Accepted: 04/07/2018] [Indexed: 01/07/2023]
Abstract
BACKGROUND The gene encoding phosphatidylinositol-4-phosphate 5-kinase (PIP5K1C) has been recently implicated in pain regulation. Interestingly, a recent cross-tissue and cross-phenotypic epigenetic analysis identified the same gene in alcohol use disorder (AUD). Given the high comorbidity between AUD and chronic pain, we hypothesized that genetic variation in PIP5K1C might contribute to susceptibility to AUD. METHODS We conducted a case-control association study of genetic variants in PIP5K1C. Association analyses of 16 common PIP5K1C single nucleotide polymorphisms (SNPs) were conducted in cases and controls of African (427 cases and 137 controls) and European ancestry (488 cases and 324 controls) using standard methods. In addition, given the prominent role of the opioid system in pain signaling, we investigated the effects of acute alcohol exposure on PIP5K1C expression in humanized transgenic mice for the μ-opioid receptor that included the OPRM1 A118G polymorphism, a widely used mouse model to study analgesic response to opioids in pain. PIP5K1C expression was measured in the thalamus and basolateral amygdala (BLA) in mice after short-term administration (single 2 g/kg dose) of alcohol or saline using immunohistochemistry and analyzed by 2-way analysis of variance. RESULTS In the case-control association study using an NIAAA discovery sample, 8 SNPs in PIP5K1C were significantly associated with AUD in the African ancestry (AA) group (p < 0.05 after correction; rs4807493, rs10405681, rs2074957, rs10432303, rs8109485, rs1476592, rs10419980, and rs4432372). However, a replication analysis using an independent sample (N = 3,801) found no significant associations after correction for multiple testing. In the humanized transgenic mouse model with the OPRM1 polymorphism, PIP5K1C expression was significantly different between alcohol and saline-treated mice, regardless of genotype, in both the thalamus (p < 0.05) and BLA (p < 0.01). CONCLUSIONS Our discovery sample shows that genetic variants in PIP5K1C are associated with AUD in the AA group, and acute alcohol exposure leads to up-regulation of PIP5K1C, potentially explaining a mechanism underlying the increased risk for chronic pain conditions in individuals with AUD.
Collapse
Affiliation(s)
- Ji Soo Lee
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Jill L. Sorcher
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Allison D Rosen
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Ruslan Damadzic
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Hui Sun
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Melanie Schwandt
- Office of the Clinical Director, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | | | - John Kelly
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Kelsey L Mauro
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Audrey Luo
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Daniel Rosoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Christine Muench
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Jeesun Jung
- Division of Intramural Clinical and Biological Research, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| | - Zachary A. Kaminsky
- Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, MD
| | - Falk W. Lohoff
- Section on Clinical Genomics and Experimental Therapeutics, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, MD
| |
Collapse
|
38
|
Schuckit MA. A Critical Review of Methods and Results in the Search for Genetic Contributors to Alcohol Sensitivity. Alcohol Clin Exp Res 2018; 42:822-835. [PMID: 29623680 PMCID: PMC5916326 DOI: 10.1111/acer.13628] [Citation(s) in RCA: 37] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Accepted: 03/06/2018] [Indexed: 02/06/2023]
Abstract
Attributes of alcohol sensitivity are present before alcohol use disorders (AUDs) develop, they predict those adverse alcohol outcomes, are familial in nature, and many are heritable. Whether measured by alcohol challenges or retrospective reports of numbers of drinks required for effects, alcohol sensitivity reflects multiple phenotypes, including low levels of alcohol response and alcohol-related stimulation. Identification of genes that contribute to alcohol sensitivity could help identify individuals carrying risks for AUDs through their alcohol responses for whom early intervention might mitigate their vulnerability. Such genes could also improve understanding of biological underpinnings of AUDs, which could lead to new treatment approaches. However, the existing literature points to a wide range of genetic mechanisms that might contribute to alcohol responses, and few such genetic findings have been widely replicated. This critical review describes the potential impact of the diverse methods used to study sensitivity on the diversity of genetic findings that have been reported, places the genetic variants mentioned in the literature into broader categories rather than isolated results, and offers suggestions regarding how to advance the field by interpreting findings in light of the methods used to select research subjects and to measure alcohol sensitivity. To date, the most promising results have been for GABA, glutamate, opioid, dopamine, serotonin, and cholinergic system genes. The more gene variants that can be identified as contributors to sensitivity the better future gene screening platforms or polygenic scores are likely to be.
Collapse
Affiliation(s)
- Marc A Schuckit
- Department of Psychiatry, University of California, San Diego School of Medicine, La Jolla, California
| |
Collapse
|
39
|
Gao X, Wang Y, Lang M, Yuan L, Reece AS, Wang W. Contribution of Genetic Polymorphisms and Haplotypes in DRD2, BDNF, and Opioid Receptors to Heroin Dependence and Endophenotypes Among the Han Chinese. OMICS 2018; 21:404-412. [PMID: 28692418 DOI: 10.1089/omi.2017.0057] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Heroin and drug dependence are major contributors to global health burden worldwide, but their underlying mechanisms remain elusive and may vary from population to population. Reward- and memory-related candidate genes dopamine D2 receptor (DRD2) and brain-derived neurotrophic factor (BDNF), as well as the opioid receptor genes (OPRM1, OPRD1, and OPRK1), have been implicated in drug dependence, but relatively little is known on their contributions to heroin dependence in populations worldwide. Hence, we evaluated the contributions of the above five candidate genes in heroin dependence and several important related endophenotypes (the onset age of heroin use and subjective response to first heroin use), at single single-nucleotide polymorphism as well as haplotype levels, in a Han Chinese population sample. We genotyped 546 unrelated and heroin-dependent subjects for the candidate genes noted, and 228 sex- and age-matched unrelated controls. The G allele of rs4654327 (OPRD1), DRD2 haplotype block CCGCCGTT (rs6277-rs1076560-rs2283265-rs2734833-rs2075652-rs1079596-rs4436578-rs11214607), and OPRD1 haplotypes TACG (rs6669447-rs2236857-rs508448-rs4654327), CG (rs508448-rs4654327), and TG (rs6669447-rs4654327) were significantly associated with heroin dependence phenotype. Homozygotes AA at rs6265 (BDNF), TT at rs16917234 (BDNF), and CC at rs508448 (OPRD1) also appeared as risk factors for the endophenotype earlier age of onset for heroin use. Two OPRM1 haplotypes, AG (rs1799971-rs1381376) and AT (rs1799971-rs3778151), were observed as potential protective factors. These emerging findings contribute to the literature on genetic biomarkers of drug dependence and related endophenotypes, and call for replication in independent population.
Collapse
Affiliation(s)
- Xuan Gao
- 1 Savaid Medical School, University of Chinese Academy of Sciences , Beijing, P.R. China
| | - Youxin Wang
- 2 School of Public Health, Capital Medical University , Beijing, P.R. China
| | - Minglin Lang
- 3 College of Life Science, University of Chinese Academy of Sciences , Beijing, P.R. China
| | - Li Yuan
- 1 Savaid Medical School, University of Chinese Academy of Sciences , Beijing, P.R. China
| | - Albert Stuart Reece
- 4 Divison of Psychiatry, University of Western Australia , Crawley, Australia
| | - Wei Wang
- 2 School of Public Health, Capital Medical University , Beijing, P.R. China .,5 School of Medical and Health Sciences, Edith Cowan University , Perth, Australia
| |
Collapse
|
40
|
Abstract
PURPOSE OF REVIEW With the advent of the genome-wide association study (GWAS), our understanding of the genetics of addiction has made significant strides forward. Here, we summarize genetic loci containing variants identified at genome-wide statistical significance (P < 5 × 10-8) and independently replicated, review evidence of functional or regulatory effects for GWAS-identified variants, and outline multi-omics approaches to enhance discovery and characterize addiction loci. RECENT FINDINGS Replicable GWAS findings span 11 genetic loci for smoking, eight loci for alcohol, and two loci for illicit drugs combined and include missense functional variants and noncoding variants with regulatory effects in human brain tissues traditionally viewed as addiction-relevant (e.g., prefrontal cortex [PFC]) and, more recently, tissues often overlooked (e.g., cerebellum). GWAS analyses have discovered several novel, replicable variants contributing to addiction. Using larger sample sizes from harmonized datasets and new approaches to integrate GWAS with multiple 'omics data across human brain tissues holds great promise to significantly advance our understanding of the biology underlying addiction.
Collapse
Affiliation(s)
- Dana B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, 3040 East Cornwallis Road, P. O. Box 12194, Research Triangle Park, NC, 27709, USA.
| | - Christina A Markunas
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, 3040 East Cornwallis Road, P. O. Box 12194, Research Triangle Park, NC, 27709, USA
| | - Laura J Bierut
- Department of Psychiatry, Washington University, St. Louis, MO, USA
| | - Eric O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| |
Collapse
|
41
|
Ray LA, Green R, Roche DJ, Bujarski S, Hartwell EE, Lim AC, Rohrbaugh T, Ghahremani D, Hutchison K, Miotto K. Pharmacogenetic Effects of Naltrexone in Individuals of East Asian Descent: Human Laboratory Findings from a Randomized Trial. Alcohol Clin Exp Res 2018; 42:613-623. [PMID: 29265379 PMCID: PMC6086578 DOI: 10.1111/acer.13586] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2017] [Accepted: 12/12/2017] [Indexed: 12/13/2022]
Abstract
BACKGROUND Genetic variation in the endogenous opioid system has been identified as 1 potential source of individual variability in naltrexone treatment outcomes. The majority of naltrexone pharmacogenetic studies have focused on a particular single nucleotide polymorphism (SNP) of the mu-opioid receptor gene (OPRM1; rs1799971; commonly known as the Asn40Asp SNP) in Caucasian samples with decidedly mixed results. The goal of this study was to test the pharmacogenetic effects of naltrexone on subjective response to alcohol and self-administration of alcohol in individuals of East Asian descent. We hypothesized that naltrexone, compared with placebo, would potentiate the aversive and sedative effects of alcohol and reduce alcohol self-administration to a greater extent in Asp40 carriers. METHODS Participants (N = 77; Asn40Asn, n = 29; Asn40Asp, n = 34, and Asp40Asp, n = 14) completed 2 double-blinded and counterbalanced experimental sessions: one after taking naltrexone (50 mg/d) for 5 days and one after taking matched placebo for 5 days. In each experimental session, participants received a priming dose of intravenous alcohol up to the breath alcohol concentration target of 0.06 g/dl which was immediately followed by an alcohol self-administration period (1 hour). RESULTS There were no pharmacogenetic effects observed for alcohol-induced stimulation, sedation, craving for alcohol, or alcohol self-administration in the laboratory. During the self-administration period, Asp40 carriers consumed fewer drinks and had a longer latency to first drink as compared to Asn40 homozygotes. CONCLUSIONS These findings in East Asians add to the mixed literature on naltrexone pharmacogenetics from predominantly Caucasian samples and highlight the complexity of these effects and their overall limited replicability. It is plausible that a consistent pharmacogenetic effect in tightly controlled preclinical and experimental medicine models "fades" in more complex and heterogeneous settings and samples.
Collapse
Affiliation(s)
- Lara A. Ray
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - ReJoyce Green
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Daniel J.O. Roche
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Spencer Bujarski
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Emily E. Hartwell
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Aaron C. Lim
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Taylor Rohrbaugh
- Department of Psychology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Dara Ghahremani
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| | - Kent Hutchison
- Department of Psychology, University of Colorado, Boulder, CO, USA
| | - Karen Miotto
- Department of Psychiatry and Biobehavioral Sciences, University of California, Los Angeles, Los Angeles, CA, USA
| |
Collapse
|
42
|
Belzeaux R, Lalanne L, Kieffer BL, Lutz PE. Focusing on the Opioid System for Addiction Biomarker Discovery. Trends Mol Med 2018; 24:206-220. [PMID: 29396147 DOI: 10.1016/j.molmed.2017.12.004] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2017] [Revised: 12/06/2017] [Accepted: 12/09/2017] [Indexed: 12/26/2022]
Abstract
Substance use disorders (SUD) and behavioral addictions are devastating conditions that impose a severe burden on all societies, and represent difficult challenges for clinicians. Therefore, biomarkers are urgently needed to help predict vulnerability, clinical course, and response to treatment. Here, we elaborate on the potential for addiction biomarker discovery of the opioid system, particularly within the emerging framework aiming to probe opioid function in peripheral tissues. Mu, delta, and kappa opioid receptors all critically regulate neurobiological and behavioral processes that define addiction, and are also targeted by major pharmacotherapies used in the management of patients with SUD. We propose that opioid biomarkers may have the potential to improve and guide diagnosis and therapeutic decisions in the addiction field.
Collapse
Affiliation(s)
- Raoul Belzeaux
- McGill Group for Suicide Studies, Douglas Hospital Research Center, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; Pôle de Psychiatrie, Assistance Publique Hôpitaux de Marseille, Marseille, France; INT-UMR7289,CNRS Aix-Marseille Université, Marseille, France; These authors contributed equally to this article
| | - Laurence Lalanne
- Department of Psychiatry and Addictology, University Hospital of Strasbourg and Medical School of Strasbourg, Strasbourg, France; Fédération de Médecine Translationnelle de Strasbourg, University Hospital of Strasbourg and Medical School of Strasbourg, Strasbourg, France; INSERM 1114, Department of Psychiatry and Addictology, University Hospital of Strasbourg, Strasbourg, France; These authors contributed equally to this article
| | - Brigitte L Kieffer
- Douglas Hospital Research Center, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada
| | - Pierre-Eric Lutz
- McGill Group for Suicide Studies, Douglas Hospital Research Center, Department of Psychiatry, Faculty of Medicine, McGill University, Montreal, QC, Canada; Current address: Institut des Neurosciences Cellulaires et Intégratives, CNRS UPR 3212, Strasbourg, France.
| |
Collapse
|
43
|
Bough KJ, Pollock JD. Defining Substance Use Disorders: The Need for Peripheral Biomarkers. Trends Mol Med 2018; 24:109-120. [PMID: 29396146 DOI: 10.1016/j.molmed.2017.12.009] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2017] [Revised: 12/10/2017] [Accepted: 12/14/2017] [Indexed: 02/07/2023]
Abstract
Addiction is a brain disease, and current diagnostic criteria for substance use disorders (SUDs) are qualitative. Nevertheless, scientific advances are beginning to characterize neurobiological domains. Combining multiple units of measure may provide an opportunity to deconstruct the heterogeneities of a SUD and define endophenotypes by using peripheral biospecimens. There are several recent examples of potential biomarker types that can be examined, together with their categorical applications for SUDs. We propose that, in conjunction with rapidly advancing statistical and mathematical modeling techniques, there is now a unique opportunity for the discovery of composite biomarkers within specific domains of addiction; these may lay the foundation for future biomarker qualification, with important implications for drug development and medical care.
Collapse
Affiliation(s)
- Kristopher J Bough
- National Institutes of Health (NIH), National Institute on Drug Abuse (NIDA), Rockville, MD 20852, USA.
| | - Jonathan D Pollock
- National Institutes of Health (NIH), National Institute on Drug Abuse (NIDA), Rockville, MD 20852, USA
| |
Collapse
|
44
|
Markunas CA, Johnson EO, Hancock DB. Comprehensive evaluation of disease- and trait-specific enrichment for eight functional elements among GWAS-identified variants. Hum Genet 2017; 136:911-919. [PMID: 28567521 DOI: 10.1007/s00439-017-1815-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2017] [Accepted: 05/22/2017] [Indexed: 01/17/2023]
Abstract
Genome-wide association study (GWAS)-identified variants are enriched for functional elements. However, we have limited knowledge of how functional enrichment may differ by disease/trait and tissue type. We tested a broad set of eight functional elements for enrichment among GWAS-identified SNPs (p < 5×10-8) from the NHGRI-EBI Catalog across seven disease/trait categories: cancer, cardiovascular disease, diabetes, autoimmune disease, psychiatric disease, neurological disease, and anthropometric traits. SNPs were annotated using HaploReg for the eight functional elements across any tissue: DNase sites, expression quantitative trait loci (eQTL), sequence conservation, enhancers, promoters, missense variants, sequence motifs, and protein binding sites. In addition, tissue-specific annotations were considered for brain vs. blood. Disease/trait SNPs were compared to a control set of 4809 SNPs matched to the GWAS SNPs (N = 1639) on allele frequency, gene density, distance to nearest gene, and linkage disequilibrium at ~3:1 ratio. Enrichment analyses were conducted using logistic regression, with Bonferroni correction. Overall, a significant enrichment was observed for all functional elements, except sequence motifs. Missense SNPs showed the strongest magnitude of enrichment. eQTLs were the only functional element significantly enriched across all diseases/traits. Magnitudes of enrichment were generally similar across diseases/traits, where enrichment was statistically significant. Blood vs. brain tissue effects on enrichment were dependent on disease/trait and functional element (e.g., cardiovascular disease: eQTLs P TissueDifference = 1.28 × 10-6 vs. enhancers P TissueDifference = 0.94). Identifying disease/trait-relevant functional elements and tissue types could provide new insight into the underlying biology, by guiding a priori GWAS analyses (e.g., brain enhancer elements for psychiatric disease) or facilitating post hoc interpretation.
Collapse
Affiliation(s)
- Christina A Markunas
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA.
| | - Eric O Johnson
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA.,Fellow Program, RTI International, Research Triangle Park, NC, USA
| | - Dana B Hancock
- Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| |
Collapse
|
45
|
Otto JM, Gizer IR, Deak JD, Fleming KA, Bartholow BD. A cis-eQTL in OPRM1 is Associated with Subjective Response to Alcohol and Alcohol Use. Alcohol Clin Exp Res 2017; 41:929-938. [PMID: 28273335 DOI: 10.1111/acer.13369] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2016] [Accepted: 02/25/2017] [Indexed: 12/22/2022]
Abstract
BACKGROUND A functional polymorphism within the μ-opioid receptor (OPRM1) gene, rs1799971 (A118G), previously has been associated with measures of alcohol use and sensitivity to its effects, but findings have been inconclusive. A recent study suggested that a second nearby variant within OPRM1, rs3778150, is robustly associated with heroin dependence and fully explained a smaller observed association with rs1799971. Given evidence that the rs3778150-C allele is associated with decreased OPRM1 expression levels in the human brain, the current study sought to test the hypothesis that rs3778150 represents a causal variant within OPRM1 that increases risk for a variety of alcohol use phenotypes. METHODS Participants with genotype and phenotype data from a larger experimental study (N = 152) were assessed on measures of subjective response to alcohol and alcohol use. Measures included (i) the Self-Rating of the Effects of Alcohol and the Alcohol Sensitivity Questionnaire, (ii) the Biphasic Alcohol Effects Scale (BAES) and ratings of subjective intoxication, and (iii) average number of drinks per week in the past month. RESULTS Compared to rs3778150-T homozygous individuals, carriers of the rs3778150-C allele exhibited significantly lower retrospective self-report levels of alcohol sensitivity. Carriers of the rs3778150-C allele also exhibited lower levels of BAES alcohol-related stimulation during an alcohol challenge and reported higher levels of drinking in the last 30 days. With the exception of lower levels of BAES alcohol-related sedation, the rs1799971 variant did not show consistent significant association with any of the alcohol phenotypes in the presence of rs3778150. CONCLUSIONS Results suggest that rs3778150 may be causally related to alcohol use phenotypes, and could potentially account for previously observed associations of rs1799971 with substance use phenotypes. Future studies may investigate potential causal relations among genetic variants in OPRM1, subjective response to alcohol, and drinking phenotypes to further delineate the effects of rs3778150.
Collapse
Affiliation(s)
- Jacqueline M Otto
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
| | - Ian R Gizer
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
| | - Joseph D Deak
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
| | - Kimberly A Fleming
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
| | - Bruce D Bartholow
- Department of Psychological Sciences, University of Missouri, Columbia, Missouri
| |
Collapse
|
46
|
Smith AH, Jensen KP, Li J, Nunez Y, Farrer LA, Hakonarson H, Cook-Sather SD, Kranzler HR, Gelernter J. Genome-wide association study of therapeutic opioid dosing identifies a novel locus upstream of OPRM1. Mol Psychiatry 2017; 22:346-52. [PMID: 28115739 DOI: 10.1038/mp.2016.257] [Citation(s) in RCA: 73] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/01/2016] [Revised: 12/08/2016] [Accepted: 12/13/2016] [Indexed: 01/10/2023]
Abstract
Opioids are very effective analgesics, but they are also highly addictive. Methadone is used to treat opioid dependence (OD), acting as a selective agonist at the μ-opioid receptor encoded by the gene OPRM1. Determining the optimal methadone maintenance dose is time consuming; currently, no biomarkers are available to guide treatment. In methadone-treated OD subjects drawn from a case and control sample, we conducted a genome-wide association study of usual daily methadone dose. In African-American (AA) OD subjects (n=383), we identified a genome-wide significant association between therapeutic methadone dose (mean=68.0 mg, s.d.=30.1 mg) and rs73568641 (P=2.8 × 10-8), the nearest gene (306 kilobases) being OPRM1. Each minor (C) allele corresponded to an additional ~20 mg day-1 of oral methadone, an effect specific to AAs. In European-Americans (EAs) (n=1027), no genome-wide significant associations with methadone dose (mean=77.8 mg, s.d.=33.9 mg) were observed. In an independent set of opioid-naive AA children being treated for surgical pain, rs73568641-C was associated with a higher required dose of morphine (n=241, P=3.9 × 10-2). Similarly, independent genomic loci previously shown to associate with higher opioid analgesic dose were associated with higher methadone dose in the OD sample (AA and EA: n=1410, genetic score P=1.3 × 10-3). The present results in AAs indicate that genetic variants influencing opioid sensitivity across different clinical settings could contribute to precision pharmacotherapy for pain and addiction.
Collapse
|
47
|
Abstract
This paper is the thirty-eighth consecutive installment of the annual review of research concerning the endogenous opioid system. It summarizes papers published during 2015 that studied the behavioral effects of molecular, pharmacological and genetic manipulation of opioid peptides, opioid receptors, opioid agonists and opioid antagonists. The particular topics that continue to be covered include the molecular-biochemical effects and neurochemical localization studies of endogenous opioids and their receptors related to behavior, and the roles of these opioid peptides and receptors in pain and analgesia, stress and social status, tolerance and dependence, learning and memory, eating and drinking, drug abuse and alcohol, sexual activity and hormones, pregnancy, development and endocrinology, mental illness and mood, seizures and neurologic disorders, electrical-related activity and neurophysiology, general activity and locomotion, gastrointestinal, renal and hepatic functions, cardiovascular responses, respiration and thermoregulation, and immunological responses.
Collapse
Affiliation(s)
- Richard J Bodnar
- Department of Psychology and Neuropsychology Doctoral Sub-Program, Queens College, City University of New York, Flushing, NY 11367, United States.
| |
Collapse
|
48
|
Shakiba M, Hashemi M, Rahbari Z, Mahdar S, Danesh H, Bizhani F, Bahari G. Lack of Association between Human µ-Opioid Receptor (<em>OPRM1</em>) Gene Polymorphisms and Heroin Addiction in A Sample of Southeast Iranian Population. AIMS Medical Science 2017. [DOI: 10.3934/medsci.2017.2.233] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
|
49
|
Hancock DB, Levy JL, Gaddis NC, Glasheen C, Saccone NL, Page GP, Bierut LJ, Kral AH, Johnson EO. Replication of ZNF804A gene variant associations with risk of heroin addiction. Genes Brain Behav 2015; 14:635-40. [PMID: 26382569 DOI: 10.1111/gbb.12254] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/21/2015] [Revised: 08/28/2015] [Accepted: 09/14/2015] [Indexed: 12/19/2022]
Abstract
Heroin addiction is heritable, but few specific genetic variants have been reproducibly associated with this disease. The zinc finger protein 804A (ZNF804A) gene is a biologically plausible susceptibility gene for heroin addiction, given its function as a transcription factor in human brain. Novel associations of two common ZNF804A single nucleotide polymorphisms (SNPs), rs7597593 and rs1344706, with heroin addiction have been reported in Han Chinese. Both SNPs have also been implicated for regulating ZNF804A expression in human brain, including the addiction-relevant dorsolateral prefrontal cortex. In this independent replication study, we tested the rs7597593 and rs1344706 SNP genotypes and their corresponding haplotypes for association with heroin addiction using cases drawn from the Urban Health Study and population controls: total N = 10 757 [7095 European Americans (EAs) and 3662 African Americans (AAs)]. We independently replicated both ZNF804A SNP associations in EAs: the rs7597593-T (P = 0.016) and rs1344706-A (P = 0.029) alleles both being associated with increased risk of heroin addiction, consistent with the prior report. Neither SNP was associated in AAs alone, but meta-analysis across both ancestry groups resulted in significant associations for rs1344706-A [P = 0.016, odds ratio (95% confidence interval) = 1.13 (1.02-1.25)] and its haplotype with rs7597593-T [P = 0.0067, odds ratio (95% confidence interval) = 1.16 (1.04-1.29)]. By showing consistent associations across independent studies and diverse ancestry groups, our study provides evidence that these two ZNF804A SNPs and their risk haplotype are among the few replicable genetic associations with heroin addiction.
Collapse
Affiliation(s)
- D B Hancock
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, NC, USA
| | - J L Levy
- Research Computing Division, RTI International, Research Triangle Park, NC, USA
| | - N C Gaddis
- Research Computing Division, RTI International, Research Triangle Park, NC, USA
| | - C Glasheen
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, NC, USA
| | - N L Saccone
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
| | - G P Page
- Fellow Program, Center for Genomics in Public Health and Medicine, RTI International, Atlanta, GA, USA
| | - L J Bierut
- Department of Psychiatry, Washington University School of Medicine, St. Louis, MO, USA
| | - A H Kral
- Behavioral and Urban Health Program, Behavioral Health and Criminal Justice Division, RTI International, San Francisco, CA, USA
| | - E O Johnson
- Fellow Program and Behavioral Health and Criminal Justice Division, RTI International, Research Triangle Park, NC, USA
| |
Collapse
|
50
|
Affiliation(s)
- Jon-Kar Zubieta
- Department of Psychiatry and University Neuropsychiatry Institute, University of Utah Health Science Center, University of Utah, Salt Lake City, Utah.
| |
Collapse
|