Literature DB >> 28379874

Effects of Single Nucleotide Polymorphisms on Surgical and Postsurgical Opioid Requirements: A Systematic Review and Meta-Analysis.

Siu-Wai Choi1, David M H Lam, Stanley S C Wong, Haydn H C Shiu, Amy X M Wang, Chi-Wai Cheung.   

Abstract

OBJECTIVES: There is great heterogeneity in the way individuals respond to medications. Inherited differences, such as single nucleotide polymorphisms (SNP), can influence the efficacy and toxicity of drugs. This meta-analysis aims to collate data from studies investigating the effect of SNPs on postoperative and/or intraoperative opioid requirements.
MATERIALS AND METHODS: A meta-analysis was conducted following PRISMA guidelines. Eligibility criteria for studies included were reporting amount of postoperative and/or intraoperative opioid used as the primary outcome and genotyping patients for SNPs in one of the following genes; OPRM1, CYP2D6, CYP3A4, CYP3A5, COMT, UGT2B7, or ABCB1. A comprehensive systematic search for articles using keywords "opioid-sensitivity," "polymorphisms," "post-operative opioid," "post-surgical opioid," "post-operative pain," and "post-surgical pain" was performed.
RESULTS: Fifty-one studies were included. Individuals homozygous for AA at the OPRMI (rs1799971) polymorphisms required less postsurgical opioid compared with those homozygous for GG (Hedges g, -0.270; 95% confidence interval, -0.433 to -0.108; P=0.001). Polymorphisms in CYP2D6, CYP3A4, CYP3A5, COMT, UGT2B7, and ABCB1 did not affect opioid requirements. DISCUSSION: Investigation of single changes in 1 gene can only yield limited information regarding genetic effects on opioid requirements. Rapid development of whole genome sequencing enables information on all genetic modifications that may affect analgesic response to be collected. The information collected must include data on the individual's metabolic enzymes, as well as information on drug receptors and enzymes responsible for drug degradation, so that a personal profile can be built up which will predict individual response to drugs, and guide clinicians on the type and dosage of drug to use.

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Year:  2017        PMID: 28379874     DOI: 10.1097/AJP.0000000000000498

Source DB:  PubMed          Journal:  Clin J Pain        ISSN: 0749-8047            Impact factor:   3.442


  5 in total

1.  Identification of a sex-stratified genetic algorithm for opioid addiction risk.

Authors:  David Bright; Anna Langerveld; Susan DeVuyst-Miller; Claire Saadeh; Ashley Choker; Elisabeth Lehigh; Stephanie Wheeler; Ahed Zayzafoon; Minji Sohn
Journal:  Pharmacogenomics J       Date:  2021-02-15       Impact factor: 3.550

2.  CYP2D6 genotype can help to predict effectiveness and safety during opioid treatment for chronic low back pain: results from a retrospective study in an Italian cohort.

Authors:  Concetta Dagostino; Massimo Allegri; Valerio Napolioni; Simona D'Agnelli; Elena Bignami; Antonio Mutti; Ron Hn van Schaik
Journal:  Pharmgenomics Pers Med       Date:  2018-10-24

3.  Candidate gene analyses for acute pain and morphine analgesia after pediatric day surgery: African American versus European Caucasian ancestry and dose prediction limits.

Authors:  Jin Li; Zhi Wei; Jie Zhang; Hakon Hakonarson; Scott D Cook-Sather
Journal:  Pharmacogenomics J       Date:  2019-02-14       Impact factor: 3.550

4.  Effects of Mu-Opiate Receptor Gene Polymorphism rs1799971 (A118G) on the Antidepressant and Dissociation Responses in Esketamine Nasal Spray Clinical Trials.

Authors:  Ziad Saad; Derrek Hibar; Maggie Fedgchin; Vanina Popova; Maura L Furey; Jaskaran B Singh; Hartmuth Kolb; Wayne C Drevets; Guang Chen
Journal:  Int J Neuropsychopharmacol       Date:  2020-12-03       Impact factor: 5.176

5.  Four single nucleotide polymorphisms in genes involved in neuronal signaling are associated with Opioid Use Disorder in West Virginia.

Authors:  Laura R Lander; Vincent Setola; Shane W Kaski; Stephan Brooks; Sijin Wen; Marc W Haut; David P Siderovski; James H Berry
Journal:  J Opioid Manag       Date:  2019 Mar-Apr
  5 in total

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