Literature DB >> 23703421

The role of hydromorphone and OPRM1 in postoperative pain relief with hydrocodone.

Mark V Boswell1, M Elaine Stauble, Gary E Loyd, Loralie Langman, Bronwyn Ramey-Hartung, Richard N Baumgartner, William W Tucker, Saeed A Jortani.   

Abstract

BACKGROUND: Postoperative pain management remains a challenge for clinicians due to unpredictable patient responses to opioid therapy. Some of this variability may result from single nucleotide polymorphisms (SNPs) of the human opioid mu-1 receptor (OPRM1) that modify receptor binding or signal transduction. The OPRM1 variant with the highest frequency is the A118G SNP. However, previous studies have produced inconsistent results regarding the clinical effects of A118G on opioid response. We hypothesized that measurement of serum opioid concentrations, in addition to determining total opioid consumption, may provide a more precise method of assessing the effects of A118G on analgesic response. The current study evaluated the relationship of analgesia, side effects, total hydrocodone consumption, quantitative serum hydrocodone and hydromorphone concentrations, and A118G SNP in postoperative patients following Cesarean section.
METHODS: 158 women scheduled for Cesarean section were enrolled prospectively in the study. The patients had bupivacaine spinal anesthesia for surgery and received intrathcal morphine with the spinal anesthetic or parenteral morphine for the first 24 hours after surgery. Thereafter, patients received hydrocodone/acetaminophen for postoperative pain control. On postoperative day 3, venous blood samples were obtained for OPRM1 A118G genotyping and serum opioid concentrations.
RESULTS: 131 (82.9%) of the subjects were homozygous for the 118A allele of OPRM1 (AA) and 27 (17.1%) carried the G allele (AG/GG). By regression analysis, pain relief was significantly associated with total hydrocodone dose in the AA group (P = 0.01), but not in the AG/GG group (P = 0.554). In contrast, there was no association between pain relief and serum hydrocodone concentration in either group. However, pain relief was significantly associated with serum hydromorphone concentration (a metabolite of hydrocodone) in the AA group (P = 0.004), but not in the AG/GG group (P = 0.724). Conversely, side effects were significantly higher (P < 0.04) in the AG/GG group (mean = 6.4) than in the AA group (mean = 4.4), regardless of adjustment for BMI, pain level, or total dose of hydrocodone.
CONCLUSION: This study found a correlation between pain relief and total hydrocodone dose in patients homozygous for the 118A allele (AA) of the OPRM1 gene, but not in patients with the 118G allele (AG/GG). However, pain relief in 118A patients did not correlate with serum hydrocodone concentrations, but rather with serum hydromorphone levels, the active metabolite of hydrocodone. This suggests that pain relief with hydrocodone may be due primarily to hydromorphone. Although pain relief did not correlate with opioid dose in AG/GG patients, they had a higher incidence of opioid side effects. The correlations identified in this study may reflect the fact that serum opioid concentrations were measured directly, avoiding the inherent imprecision associated with relying solely on total opioid consumption as a determinant of opioid effectiveness. Thus, measurement of serum opioid concentrations is recommended when assessing the role of OPRM1 variants in pain relief. This study supports pharmacogenetic analysis of OPRM1 in conjunction with serum opioid concentrations when evaluating patient responses to opioid therapy.

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Year:  2013        PMID: 23703421

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


  11 in total

1.  The effect of CYP2D6 drug-drug interactions on hydrocodone effectiveness.

Authors:  Andrew A Monte; Kennon J Heard; Jenny Campbell; D Hamamura; Richard M Weinshilboum; Vasilis Vasiliou
Journal:  Acad Emerg Med       Date:  2014-08-24       Impact factor: 3.451

2.  Genetic variation in the behavioral effects of buprenorphine in female mice derived from a murine model of the OPRM1 A118G polymorphism.

Authors:  Caroline A Browne; Rebecca L Erickson; Julie A Blendy; Irwin Lucki
Journal:  Neuropharmacology       Date:  2017-02-07       Impact factor: 5.250

Review 3.  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

4.  Mouse model of the OPRM1 (A118G) polymorphism: differential heroin self-administration behavior compared with wild-type mice.

Authors:  Yong Zhang; Roberto Picetti; Eduardo R Butelman; Ann Ho; Julie A Blendy; Mary Jeanne Kreek
Journal:  Neuropsychopharmacology       Date:  2015-03-13       Impact factor: 7.853

5.  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 6.  Improved drug therapy: triangulating phenomics with genomics and metabolomics.

Authors:  Andrew A Monte; Chad Brocker; Daniel W Nebert; Frank J Gonzalez; David C Thompson; Vasilis Vasiliou
Journal:  Hum Genomics       Date:  2014-09-01       Impact factor: 4.639

7.  Complex Role of Hypnotizability in the Cognitive Control of Pain.

Authors:  Enrica L Santarcangelo; Sybille Consoli
Journal:  Front Psychol       Date:  2018-11-20

8.  Preclinical and Clinical Pharmacology of Hydrocodone for Chronic Pain: A Mini Review.

Authors:  Luigi Cardia; Gioacchino Calapai; Domenico Quattrone; Cristina Mondello; Vincenzo Arcoraci; Fabrizio Calapai; Carmen Mannucci; Epifanio Mondello
Journal:  Front Pharmacol       Date:  2018-10-01       Impact factor: 5.810

Review 9.  Clinical Pharmacogenetics Implementation Consortium Guideline for CYP2D6, OPRM1, and COMT Genotypes and Select Opioid Therapy.

Authors:  Kristine R Crews; Andrew A Monte; Rachel Huddart; Kelly E Caudle; Evan D Kharasch; Andrea Gaedigk; Henry M Dunnenberger; J Steven Leeder; John T Callaghan; Caroline Flora Samer; Teri E Klein; Cyrine E Haidar; Sara L Van Driest; Gualberto Ruano; Katrin Sangkuhl; Larisa H Cavallari; Daniel J Müller; Cynthia A Prows; Mohamed Nagy; Andrew A Somogyi; Todd C Skaar
Journal:  Clin Pharmacol Ther       Date:  2021-02-09       Impact factor: 6.903

10.  To predict sufentanil requirement for postoperative pain control using a real-time method: A prospective observational cohort study.

Authors:  Yuhao Zhang; Guangyou Duan; Shanna Guo; Ying Ying; Penghao Huang; Mi Zhang; Ningbo Li; Xianwei Zhang
Journal:  Medicine (Baltimore)       Date:  2016-06       Impact factor: 1.889

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