Literature DB >> 25102313

OPRM1 A118G gene variant and postoperative opioid requirement: a systematic review and meta-analysis.

In Cheol Hwang1, Ji-Young Park, Seung-Kwon Myung, Hong Yup Ahn, Ken-ichi Fukuda, Qin Liao.   

Abstract

BACKGROUND: Although a number of studies have investigated the association of the OPRM1 A118G polymorphism with pain response, a consensus has not yet been reached.
METHODS: The authors searched PubMed, EMBASE, and the Cochrane Library to identify gene-association studies that explored the impact of the OPRM1 A118G polymorphism on postoperative opioid requirements through July 2013. Two evaluators independently reviewed and selected articles on the basis of prespecified selection criteria. The authors primarily investigated the standardized mean difference (SMD) of required amounts of opioids between AA homozygotes and G-allele carriers. The authors also performed subgroup analyses for race, opioid use, and type of surgery. Potential bias was assessed using the Egger's test with a trim and fill procedure.
RESULTS: Three hundred forty-six articles were retrieved from databases, and 18 studies involving 4,607 participants were included in the final analyses. In a random-effect meta-analysis, G-allele carriers required a higher mean opioid dose than AA homozygotes (SMD, -0.18; P = 0.003). Although there was no evidence of publication bias, heterogeneity was present among studies (I(2) = 66.8%). In the subgroup meta-analyses, significance remained robust in Asian patients (SMD, -0.21; P = 0.001), morphine users (SMD, -0.29; P <0.001), and patients who received surgery for a viscus (SMD, -0.20; P = 0.008).
CONCLUSIONS: The OPRM1 A118G polymorphism was associated with interindividual variability in postoperative response to opioids. In a subpopulation, identifying OPRM1 A118G polymorphism may provide valuable information regarding the individual analgesic doses that are required to achieve satisfactory pain control.

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Year:  2014        PMID: 25102313     DOI: 10.1097/ALN.0000000000000405

Source DB:  PubMed          Journal:  Anesthesiology        ISSN: 0003-3022            Impact factor:   7.892


  39 in total

1.  μ-Opioid Receptor Gene A118 G Variants and Persistent Pain Symptoms Among Men and Women Experiencing Motor Vehicle Collision.

Authors:  Sarah D Linnstaedt; JunMei Hu; Andrey V Bortsov; April C Soward; Robert Swor; Jeffrey Jones; David Lee; David Peak; Robert Domeier; Niels Rathlev; Phyllis Hendry; Samuel A McLean
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Review 4.  Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain.

Authors:  Vidya Chidambaran; Yang Gang; Valentina Pilipenko; Maria Ashton; Lili Ding
Journal:  J Pain       Date:  2019-05-23       Impact factor: 5.820

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Authors:  Kenneth Blum; Edward J Modestino; Rajendra D Badgaiyan; David Baron; Panayotis K Thanos; Igor Elman; David Siwicki; Marcelo Febo; Mark S Gold
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7.  Convergent Balancing Selection on the Mu-Opioid Receptor in Primates.

Authors:  Carolyn G Sweeney; Juliette M Rando; Helen N Panas; Gregory M Miller; Donna M Platt; Eric J Vallender
Journal:  Mol Biol Evol       Date:  2017-07-01       Impact factor: 16.240

8.  OPRM1 and COMT Gene-Gene Interaction Is Associated With Postoperative Pain and Opioid Consumption After Orthopedic Trauma.

Authors:  Heba Khalil; Susan M Sereika; Feng Dai; Sheila Alexander; Yvette Conley; Gary Gruen; Li Meng; Peter Siska; Ivan Tarkin; Richard Henker
Journal:  Biol Res Nurs       Date:  2016-11-30       Impact factor: 2.522

9.  Opioid receptor mu 1 (OPRM1) A118G polymorphism (rs1799971) and postoperative nausea and vomiting.

Authors:  Yanguo Kong; Tao Yan; Shun Gong; Hao Deng; Guohua Zhang; Jingping Wang
Journal:  Am J Transl Res       Date:  2018-09-15       Impact factor: 4.060

10.  Systematic review and meta-analysis of the moderating effect of rs1799971 in OPRM1, the mu-opioid receptor gene, on response to naltrexone treatment of alcohol use disorder.

Authors:  Emily E Hartwell; Richard Feinn; Paige E Morris; Joel Gelernter; John Krystal; Albert J Arias; Michaela Hoffman; Ismene Petrakis; Ralitza Gueorguieva; Joseph P Schacht; David Oslin; Raymond F Anton; Henry R Kranzler
Journal:  Addiction       Date:  2020-02-11       Impact factor: 6.526

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