Literature DB >> 28637770

Analgesia and Opioids: A Pharmacogenetics Shortlist for Implementation in Clinical Practice.

Maja Matic1,2, Saskia N de Wildt2,3, Dick Tibboel2, Ron H N van Schaik4.   

Abstract

BACKGROUND: The use of opioids to alleviate pain is complicated by the risk of severe adverse events and the large variability in dose requirements. Pharmacogenetics (PGx) could possibly be used to tailor pain medication based on an individual's genetic background. Many potential genetic markers have been described, and the importance of genetic predisposition in opioid efficacy and toxicity has been demonstrated in knockout mouse models and human twin studies. Such predictors are especially of value for neonates and young children, in whom the assessment of efficacy or side effects is complicated by the inability of the patient to communicate this properly. The current problem is determining which of the many potential candidates to focus on for clinical implementation. CONTENT: We systematically searched publications on PGx for opioids in 5 databases, aiming to identify PGx markers with sufficient robust data and high enough occurrence for potential clinical application. The initial search yielded 4257 unique citations, eventually resulting in 852 relevant articles covering 24 genes. From these genes, we evaluated the evidence and selected the most promising 10 markers: cytochrome P450 family 2 subfamily D member 6 (CYP2D6), cytochrome P450 family 3 subfamily A member 4 (CYP3A4), cytochrome P450 family 3 subfamily A member 5 (CYP3A5), UDP glucuronosyltransferase family 2 member B7 (UGT2B7), ATP binding cassette subfamily B member 1 (ABCB1), ATP binding cassette subfamily C member 3 (ABCC3), solute carrier family 22 member 1 (SLC22A1), opioid receptor kappa 1 (OPRM1), catechol-O-methyltransferase (COMT), and potassium voltage-gated channel subfamily J member 6 (KCNJ6). Treatment guidelines based on genotype are already available only for CYP2D6.
SUMMARY: The application of PGx in the management of pain with opioids has the potential to improve therapy. We provide a shortlist of 10 genes that are the most promising markers for clinical use in this context.
© 2016 American Association for Clinical Chemistry.

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Year:  2017        PMID: 28637770     DOI: 10.1373/clinchem.2016.264986

Source DB:  PubMed          Journal:  Clin Chem        ISSN: 0009-9147            Impact factor:   8.327


  8 in total

1.  Individual differences in human opioid abuse potential as observed in a human laboratory study.

Authors:  Kelly E Dunn; Frederick S Barrett; Bruna Brands; David C Marsh; George E Bigelow
Journal:  Drug Alcohol Depend       Date:  2019-10-28       Impact factor: 4.492

2.  Integrating pharmacogenetic testing into primary care.

Authors:  Susanne B Haga
Journal:  Expert Rev Precis Med Drug Dev       Date:  2017-11-03

Review 3.  Personalized pediatric anesthesia and pain management: problem-based review.

Authors:  Senthil Packiasabapathy; Valluvan Rangasamy; Nicole Horn; Michele Hendrickson; Janelle Renschler; Senthilkumar Sadhasivam
Journal:  Pharmacogenomics       Date:  2020-01       Impact factor: 2.533

4.  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

5.  A network pharmacology study on analgesic mechanism of Yuanhu-Baizhi herb pair.

Authors:  Bobin Mi; Qiushi Li; Tong Li; Jessica Marshall; Jiayang Sai
Journal:  BMC Complement Med Ther       Date:  2020-09-18

6.  Genetic Diversity of Drug-Related Genes in Native Americans of the Brazilian Amazon.

Authors:  Marianne Rodrigues Fernandes; Juliana Carla Gomes Rodrigues; Olalla Maroñas; Ana Latorre-Pellicer; Raquel Cruz; João Farias Guerreiro; Rommel Mario Rodriguez Burbano; Paulo Pimentel de Assumpção; Andrea Ribeiro-Dos-Santos; Sidney Emanuel Batista Dos Santos; Angel Carracedo; Ney Pereira Carneiro Dos Santos
Journal:  Pharmgenomics Pers Med       Date:  2021-01-22

7.  Sex-dimorphic gene effects on survival outcomes in people with coronary artery disease.

Authors:  Jennifer R Dungan; Xue Qin; Simon G Gregory; Rhonda Cooper-Dehoff; Julio D Duarte; Huaizhen Qin; Martha Gulati; Jacquelyn Y Taylor; Carl J Pepine; Elizabeth R Hauser; William E Kraus
Journal:  Am Heart J Plus       Date:  2022-06-14

8.  Influence of Genetic Variation in COMT on Cisplatin-Induced Nephrotoxicity in Cancer Patients.

Authors:  Bram C Agema; Stijn L W Koolen; Mirjam de With; Nadia van Doorn; Niels Heersche; Esther Oomen-de Hoop; Sabine Visser; Joachim G J V Aerts; Sander Bins; Ron H N van Schaik; Ron H J Mathijssen
Journal:  Genes (Basel)       Date:  2020-03-27       Impact factor: 4.096

  8 in total

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