Literature DB >> 21743374

CYP2D6 polymorphisms and codeine analgesia in postpartum pain management: a pilot study.

Sondra VanderVaart1, Howard Berger, Johanna Sistonen, Parvaz Madadi, Ilan Matok, Violette M G J Gijsen, Saskia N de Wildt, Anna Taddio, Colin J D Ross, Bruce C Carleton, Michael R Hayden, Gideon Koren.   

Abstract

BACKGROUND: Codeine, a common opiate prescribed for pain postcesarean section (c-section), is biotransformed by the highly polymorphic Cytochrome P450 enzyme 2D6 (CYP2D6). Ultrarapid metabolizers (UMs), individuals with multiple active copies of CYP2D6, can biotranform up to 50% more codeine into morphine than normal individuals can. In contrast, poor metabolizers (PMs), individuals who have no active CYP2D6 genes, convert almost no codeine into morphine and as a result may take multiple doses of codeine without attaining analgesia.
OBJECTIVE: The aim was to study the relationship between CYP2D6 genotype and codeine analgesia among women recovering from c-section.
METHODS: Forty-five mothers prescribed codeine provided a blood sample for CYP2D6 genotyping and recorded their pain level 4 times a day for 3 days immediately after a c-section. Codeine was used on an as-needed basis; doses and times were recorded. The relationship between CYP2D6 genotype, pain scores, need for codeine, and adverse events was studied. Theoretical morphine dose, based on CYP2D6 genotype, was estimated.
RESULTS: Women at the genotypic extremes reported codeine effects consistent with their genotype: the 2 PMs of codeine reported no analgesia as a result of taking codeine, whereas 2 of the 3 UMs reported immediate pain relief from codeine but stopped taking it due to dizziness and constipation. Much larger numbers are needed to study similar correlations among extensive and intermediate metabolizers.
CONCLUSIONS: In this pilot study, the extreme CYP2D6 genotypes (PMs and UMs) seemed to predict pain response and adverse events. Larger sample sizes are needed to correlate the range of genotypes with pain response.

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Year:  2011        PMID: 21743374     DOI: 10.1097/FTD.0b013e3182272b10

Source DB:  PubMed          Journal:  Ther Drug Monit        ISSN: 0163-4356            Impact factor:   3.681


  13 in total

1.  Application of Model Informed Precision Dosing to Address the Impact of Pregnancy Stage and CYP2D6 Phenotype on Foetal Morphine Exposure.

Authors:  Sarah Badaoui; Ashley M Hopkins; A David Rodrigues; John O Miners; Michael J Sorich; Andrew Rowland
Journal:  AAPS J       Date:  2021-01-06       Impact factor: 4.009

2.  Alternative reliable method for cytochrome P450 2D6 poor metabolizers genotyping.

Authors:  E Pindurová; A Zourková; J Zrůstová; J Juřica; A Pavelka
Journal:  Mol Biotechnol       Date:  2013-01       Impact factor: 2.695

3.  The pharmacogenetics of codeine pain relief in the postpartum period.

Authors:  M Baber; S Chaudhry; L Kelly; C Ross; B Carleton; H Berger; G Koren
Journal:  Pharmacogenomics J       Date:  2015-03-10       Impact factor: 3.550

Review 4.  Pharmacogenetics and individualizing drug treatment during pregnancy.

Authors:  David M Haas
Journal:  Pharmacogenomics       Date:  2014-01       Impact factor: 2.533

5.  Pharmacogenetics in clinical pediatrics: challenges and strategies.

Authors:  Sara L Van Driest; Tracy L McGregor
Journal:  Per Med       Date:  2013-09       Impact factor: 2.512

6.  Genetic Testing for Opioid Pain Management: A Primer.

Authors:  Deepti Agarwal; Mercy A Udoji; Andrea Trescot
Journal:  Pain Ther       Date:  2017-04-13

7.  Pharmacogenomic considerations in opioid analgesia.

Authors:  Pascal H Vuilleumier; Ulrike M Stamer; Ruth Landau
Journal:  Pharmgenomics Pers Med       Date:  2012-08-23

8.  Dutch Pharmacogenetics Working Group (DPWG) guideline for the gene-drug interaction between CYP2D6 and opioids (codeine, tramadol and oxycodone).

Authors:  Maja Matic; Marga Nijenhuis; Bianca Soree; Nienke J de Boer-Veger; Anne-Marie Buunk; Elisa J F Houwink; Hans Mulder; Gerard A P J M Rongen; Jan van der Weide; Bob Wilffert; Jesse J Swen; Henk-Jan Guchelaar; Vera H M Deneer; Ron H N van Schaik
Journal:  Eur J Hum Genet       Date:  2021-07-15       Impact factor: 5.351

Review 9.  Impact of New Genomic Technologies on Understanding Adverse Drug Reactions.

Authors:  Simran D S Maggo; Ruth L Savage; Martin A Kennedy
Journal:  Clin Pharmacokinet       Date:  2016-04       Impact factor: 6.447

Review 10.  Pharmacogenomics of analgesics in anesthesia practice: A current update of literature.

Authors:  Keith Gray; Sanjib D Adhikary; Piotr Janicki
Journal:  J Anaesthesiol Clin Pharmacol       Date:  2018 Apr-Jun
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