Literature DB >> 19395173

Can extremely low or high morphine formation from codeine be predicted prior to therapy initiation?

Jörn Lötsch1, Maren Rohrbacher, Helmut Schmidt, Alexandra Doehring, Jürgen Brockmöller, Gerd Geisslinger.   

Abstract

Activation of codeine by O-demethylation into morphine is a prerequisite for its analgesic effects and severe toxicity. Identifying patients in whom morphine is formed either at extremely low or at extremely high amounts may improve efficacy and safety of codeine therapy. To assess how well this identification is possible, we compared the performance of current CYP2D6 phenotype association systems (traditional genotype-based classification, a recently proposed CYP2D6 activity score, and the plasma dextromethorphan metabolic ratio) in 57 healthy Caucasians after oral administration of 30 mg dextromethorphan hydrobromide or 50 mg codeine. Most subjects (87.5%) at the lower 15% of morphine formation from codeine and thus likely to not to respond to codeine therapy were correctly identified by CYP2D6 genotype- or phenotype-based systems. In contrast, in subjects at the upper 15% of morphine formation being at risk for opioid toxicity, CYP2D6 genotyping predicted only the 50% who carried gene duplication, whereas dextromethorphan-based phenotyping identified 67.5% of the subjects with high morphine formation. However, satisfactory prediction (87.5%) of high morphine formation was only achieved when combining genotyping with phenotyping. In conclusion, insufficient morphine formation from codeine and thus likely failure of analgesia can currently be well predicted. However, to make codeine therapy safe, extremely high morphine formation has to be predicted as well, which has to be obtained at the effort of combining genotyping with phenotyping.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19395173     DOI: 10.1016/j.pain.2009.03.023

Source DB:  PubMed          Journal:  Pain        ISSN: 0304-3959            Impact factor:   6.961


  24 in total

1.  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 2.  Genetic variability of pain perception and treatment--clinical pharmacological implications.

Authors:  Jörn Lötsch
Journal:  Eur J Clin Pharmacol       Date:  2011-02-23       Impact factor: 2.953

3.  Clinical Pharmacogenetics Implementation Consortium (CPIC) guidelines for codeine therapy in the context of cytochrome P450 2D6 (CYP2D6) genotype.

Authors:  K R Crews; A Gaedigk; H M Dunnenberger; T E Klein; D D Shen; J T Callaghan; E D Kharasch; T C Skaar
Journal:  Clin Pharmacol Ther       Date:  2011-12-28       Impact factor: 6.875

4.  Clinical and educational impact of pharmacogenomics testing: a case series from the INGENIOUS trial.

Authors:  Rebecca C Pierson; Brandon T Gufford; Zeruesenay Desta; Michael T Eadon
Journal:  Pharmacogenomics       Date:  2017-06-08       Impact factor: 2.533

5.  Design and rational for the precision medicine guided treatment for cancer pain pragmatic clinical trial.

Authors:  Scott A Mosley; J Kevin Hicks; Diane G Portman; Kristine A Donovan; Priya Gopalan; Jessica Schmit; Jason Starr; Natalie Silver; Yan Gong; Taimour Langaee; Michael Clare-Salzler; Petr Starostik; Young D Chang; Sahana Rajasekhara; Joshua E Smith; Heloisa P Soares; Thomas J George; Howard L McLeod; Larisa H Cavallari
Journal:  Contemp Clin Trials       Date:  2018-03-10       Impact factor: 2.226

Review 6.  Pharmacogenetics of new analgesics.

Authors:  Jörn Lötsch; Gerd Geisslinger
Journal:  Br J Pharmacol       Date:  2011-06       Impact factor: 8.739

7.  Pharmacogenetics for Safe Codeine Use in Sickle Cell Disease.

Authors:  Roseann S Gammal; Kristine R Crews; Cyrine E Haidar; James M Hoffman; Donald K Baker; Patricia J Barker; Jeremie H Estepp; Deqing Pei; Ulrich Broeckel; Winfred Wang; Mitchell J Weiss; Mary V Relling; Jane Hankins
Journal:  Pediatrics       Date:  2016-07       Impact factor: 7.124

8.  Pharmacogenetics: Using Genetic Information to Guide Drug Therapy.

Authors:  Ku-Lang Chang; Kristin Weitzel; Siegfried Schmidt
Journal:  Am Fam Physician       Date:  2015-10-01       Impact factor: 3.292

Review 9.  A health-care system perspective on implementing genomic medicine: pediatric acute lymphoblastic leukemia as a paradigm.

Authors:  W E Evans; K R Crews; C-H Pui
Journal:  Clin Pharmacol Ther       Date:  2013-01-17       Impact factor: 6.875

10.  Pharmacogenomics and individualized medicine: translating science into practice.

Authors:  K R Crews; J K Hicks; C-H Pui; M V Relling; W E Evans
Journal:  Clin Pharmacol Ther       Date:  2012-09-05       Impact factor: 6.875

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.