Literature DB >> 26902643

Human Genetic Variability Contributes to Postoperative Morphine Consumption.

Manuela De Gregori1, Luda Diatchenko2, Pablo M Ingelmo3, Valerio Napolioni4, Pal Klepstad5, Inna Belfer6, Valeria Molinaro7, Giulia Garbin7, Guglielmina N Ranzani7, Giovanni Alberio8, Marco Normanno8, Federica Lovisari8, Marta Somaini8, Stefano Govoni9, Elisa Mura10, Dario Bugada11, Thekla Niebel11, Michele Zorzetto12, Simona De Gregori13, Mariadelfina Molinaro13, Guido Fanelli14, Massimo Allegri15.   

Abstract

UNLABELLED: High interindividual variability in postoperative opioid consumption is related to genetic and environmental factors. We tested the association between morphine consumption, postoperative pain, and single nucleotide polymorphisms (SNPs) within opioid receptor μ 1 (OPRM1), catechol-O-methyltransferase (COMT), uridine diphosphate glucose-glucuronosyltransferase-2B7, and estrogen receptor (ESR1) gene loci to elucidate genetic prediction of opioid consumption. We analyzed 20 SNPs in 201 unrelated Caucasian patients who underwent abdominal surgery and who were receiving postoperative patient-controlled analgesia-administered morphine. Morphine consumption and pain intensity were dependent variables; age and sex were covariates. A haplotype of 7 SNPs in OPRM1 showed significant additive effects on opioid consumption (P = .007); a linear regression model including age and 9 SNPs in ESR1, OPRM1, and COMT explained the highest proportion of variance of morphine consumption (10.7%; P = .001). The minimal model including 3 SNPs in ESR1, OPRM1, and COMT explained 5% of variance (P = .007). We found a significant interaction between rs4680 in COMT and rs4986936 in ESR1 (P = .007) on opioid consumption. SNPs rs677830 and rs540825 of OPRM1 and rs9340799 of ESR1 were nominally associated with pain Numeric Rating Scale scores. Combinations of genetic variants within OPRM1, COMT, and ESR1 better explain variability in morphine consumption than single genetic variants. Our results contribute to the development of genetic markers and statistical models for future diagnostic tools for opioid consumption/efficacy. PERSPECTIVE: This article presents the efforts dedicated to detect correlations between the genetic polymorphisms and the clinical morphine effect self-administered by patients using a patient-controlled analgesia pump after major surgery. The clinical effect is expressed in terms of morphine consumption and pain scores. REGISTERED ON CLINICALTRIALS.GOV: NCT01233752.
Copyright © 2016 American Pain Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Acute postoperative pain; OPRM1 haplotype; genetic variability; genetic variants combination; postoperative opioid consumption

Mesh:

Substances:

Year:  2016        PMID: 26902643     DOI: 10.1016/j.jpain.2016.02.003

Source DB:  PubMed          Journal:  J Pain        ISSN: 1526-5900            Impact factor:   5.820


  21 in total

Review 1.  Genetics of perioperative pain management.

Authors:  Senthil Packiasabapathy; Nicole Horn; Senthilkumar Sadhasivam
Journal:  Curr Opin Anaesthesiol       Date:  2018-12       Impact factor: 2.706

Review 2.  Polymorphisms in sex steroid receptors: From gene sequence to behavior.

Authors:  Donna L Maney
Journal:  Front Neuroendocrinol       Date:  2017-07-10       Impact factor: 8.606

3.  Genetic Predictors of Response to Acupuncture for Aromatase Inhibitor-Associated Arthralgia Among Breast Cancer Survivors.

Authors:  Timothy J Genovese; Jun J Mao
Journal:  Pain Med       Date:  2019-01-01       Impact factor: 3.750

4.  ESR1 and PGR polymorphisms are associated with estrogen and progesterone receptor expression in breast tumors.

Authors:  Daniel L Hertz; N Lynn Henry; Kelley M Kidwell; Dafydd Thomas; Audrey Goddard; Faouzi Azzouz; Kelly Speth; Lang Li; Mousumi Banerjee; Jacklyn N Thibert; Celina G Kleer; Vered Stearns; Daniel F Hayes; Todd C Skaar; James M Rae
Journal:  Physiol Genomics       Date:  2016-08-19       Impact factor: 3.107

5.  DNA methylation at the mu-1 opioid receptor gene (OPRM1) promoter predicts preoperative, acute, and chronic postsurgical pain after spine fusion.

Authors:  Vidya Chidambaran; Xue Zhang; Lisa J Martin; Lili Ding; Matthew T Weirauch; Kristie Geisler; Bobbie L Stubbeman; Senthilkumar Sadhasivam; Hong Ji
Journal:  Pharmgenomics Pers Med       Date:  2017-05-09

6.  A genetic variant in the catechol-O-methyl transferase (COMT) gene is related to age-dependent differences in the therapeutic effect of calcium-channel blockers.

Authors:  Jiayue Xu; Adrian E Boström; Mohamed Saeed; Raghvendra K Dubey; Gérard Waeber; Peter Vollenweider; Pedro Marques-Vidal; Jessica Mwinyi; Helgi B Schiöth
Journal:  Medicine (Baltimore)       Date:  2017-07       Impact factor: 1.889

Review 7.  Risk Factors and Prevention Strategies for Postoperative Opioid Abuse.

Authors:  Shuai Zhao; Fan Chen; Anqi Feng; Wei Han; Yuan Zhang
Journal:  Pain Res Manag       Date:  2019-07-10       Impact factor: 3.037

8.  Changes in total plasma and serum N-glycome composition and patient-controlled analgesia after major abdominal surgery.

Authors:  Ivan Gudelj; Marco Baciarello; Ivo Ugrina; Manuela De Gregori; Valerio Napolioni; Pablo M Ingelmo; Dario Bugada; Simona De Gregori; Lovorka Đerek; Maja Pučić-Baković; Mislav Novokmet; Olga Gornik; Gloria Saccani Jotti; Tiziana Meschi; Gordan Lauc; Massimo Allegri
Journal:  Sci Rep       Date:  2016-08-09       Impact factor: 4.379

9.  Prediction of opioid dose in cancer pain patients using genetic profiling: not yet an option with support vector machine learning.

Authors:  Anne Estrup Olesen; Debbie Grønlund; Mikkel Gram; Frank Skorpen; Asbjørn Mohr Drewes; Pål Klepstad
Journal:  BMC Res Notes       Date:  2018-01-27

10.  Immune function after major surgical interventions: the effect of postoperative pain treatment.

Authors:  Giada Amodeo; Dario Bugada; Silvia Franchi; Giorgia Moschetti; Stefania Grimaldi; Alberto Panerai; Massimo Allegri; Paola Sacerdote
Journal:  J Pain Res       Date:  2018-07-10       Impact factor: 3.133

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