Literature DB >> 25247900

A review of the role of genetic testing in pain medicine.

Andrea M Trescot1, Semyon Faynboym.   

Abstract

BACKGROUND: Pain clinicians have always been challenged by the variability of response to pain treatment. Differences in the degree of pain stimulation and pain sensitivity, weight and age differences, prior opioid use and tolerance, as well as the differences in bioavailability of various opioid formulations have been cited as causes for the wide variability in analgesia seen with opioids. Genetics may explain the variability of responses and help to predict more effective (or less dangerous) medication choices and doses. Genetics may also help to predict the response to specific opioids and antidepressants.
OBJECTIVES: In this review article, we discuss the genetic influence of nociception, analgesia, and hyoanalgesia. The CYP450 enzymes involved in the metabolism and activity of opioids and adjuvant analgesics are genetically controlled, as are the opioid receptors and a variety of brain chemistries.
METHODS: This article discusses the specific pain implications of genetic variations in CYP1A2, CYP2C8, CYP2C9, CYP2C19, CYP2D6, CYP2E1, CYP3A4, CYP3A7, OPRM1, OPRK1, OPRD1, COMT, GABA, UGT, MC1R, GCH1, ABCB1, P-glycoprotein, 5HTR1A, 5HTR2A, MTHFR, CACNA2D2, and 5-HTTLPR.
RESULTS: Recent research findings suggest the relationship between genetic predisposition and clinical behavior, including the risk of opioid misuse and addiction. While urine drug testing may hint at genetic issues regarding opioid metabolism, cheek swab DNA testing has become economically viable, and we review the current and future genetic pain issues that may influence the decisions that pain clinicians make every day.
CONCLUSION: Genetic testing may explain and predict many of the clinical responses seen with opioids and adjuvant medications, and may help the clinician identify those patients at genetic risk of opioid misuse and addiction.

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Year:  2014        PMID: 25247900

Source DB:  PubMed          Journal:  Pain Physician        ISSN: 1533-3159            Impact factor:   4.965


  18 in total

1.  Association of single nucleotide polymorphisms of ABCB1, OPRM1 and COMT with pain perception in cancer patients.

Authors:  Xu-Shi Wang; Hai-Bin Song; Si Chen; Wei Zhang; Jia-Qi Liu; Chao Huang; Hao-Ran Wang; Yuan Chen; Qian Chu
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2015-10-22

Review 2.  Pharmacogenomics of Pain Management: The Impact of Specific Biological Polymorphisms on Drugs and Metabolism.

Authors:  Elyse M Cornett; Michelle A Carroll Turpin; Allison Pinner; Pankaj Thakur; Tamizh Selvan Gnana Sekaran; Harish Siddaiah; Jasmine Rivas; Anna Yates; G Jason Huang; Anitha Senthil; Narjeet Khurmi; Jenna L Miller; Cain W Stark; Richard D Urman; Alan David Kaye
Journal:  Curr Oncol Rep       Date:  2020-02-06       Impact factor: 5.075

3.  The Role of Pharmacogenomics in Postoperative Pain Management.

Authors:  E Paylor Sachtleben; Kelsey Rooney; Hannah Haddad; Victoria L Lassiegne; Megan Boudreaux; Elyse M Cornett; Alan D Kaye
Journal:  Methods Mol Biol       Date:  2022

Review 4.  Effects of cytochrome P450 single nucleotide polymorphisms on methadone metabolism and pharmacodynamics.

Authors:  Taha Ahmad; Monica A Valentovic; Gary O Rankin
Journal:  Biochem Pharmacol       Date:  2018-02-16       Impact factor: 5.858

5.  Intravenous Ketamine for Cancer Pain Management, Including Flares During the COVID-19 Pandemic: A Retrospective Study.

Authors:  Daniel Oh; Paul Haffey; Ankur Patel; Amitabh Gulati
Journal:  Pain Med       Date:  2021-07-25       Impact factor: 3.750

Review 6.  The search for novel analgesics: targets and mechanisms.

Authors:  Tony L Yaksh; Sarah A Woller; Roshni Ramachandran; Linda S Sorkin
Journal:  F1000Prime Rep       Date:  2015-05-26

Review 7.  The pharmacogenomics of pain management: prospects for personalized medicine.

Authors:  Sonya Ting; Stephan Schug
Journal:  J Pain Res       Date:  2016-02-10       Impact factor: 3.133

Review 8.  The Role of CYP2E1 in the Drug Metabolism or Bioactivation in the Brain.

Authors:  W A García-Suástegui; L A Ramos-Chávez; M Rubio-Osornio; M Calvillo-Velasco; J A Atzin-Méndez; J Guevara; D Silva-Adaya
Journal:  Oxid Med Cell Longev       Date:  2017-01-10       Impact factor: 6.543

9.  Genetic Testing for Opioid Pain Management: A Primer.

Authors:  Deepti Agarwal; Mercy A Udoji; Andrea Trescot
Journal:  Pain Ther       Date:  2017-04-13

10.  Reducing Opioid Prescriptions by Identifying Responders on Topical Analgesic Treatment Using an Individualized Medicine and Predictive Analytics Approach.

Authors:  Jeffrey Gudin; Seferina Mavroudi; Aigli Korfiati; Konstantinos Theofilatos; Derek Dietze; Peter Hurwitz
Journal:  J Pain Res       Date:  2020-05-28       Impact factor: 3.133

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