Literature DB >> 22352453

Pharmacogenomics of codeine, morphine, and morphine-6-glucuronide: model-based analysis of the influence of CYP2D6 activity, UGT2B7 activity, renal impairment, and CYP3A4 inhibition.

Thomas Eissing1, Jörg Lippert, Stefan Willmann.   

Abstract

BACKGROUND AND
OBJECTIVE: The analgesic effect of codeine depends on the formation of the opioid metabolites morphine and morphine-6-glucuronide. Different factors have been shown or suspected to affect the safety and efficacy of codeine treatment. The objective of the current study is to assess and quantify the impact of important pharmacokinetic factors, using a mechanistic modeling approach.
METHODS: By means of a generic modeling approach integrating prior physiologic knowledge, we systematically investigated the complex dependence of opioid exposure on cytochrome P450 2D6 and 3A4 (CYP2D6 and CYP3A4), and uridine diphosphate glucuronosyltransferase 2B7 (UGT2B7) activity, as well as renal function, by means of a virtual clinical trial.
RESULTS: First, the known dominant role of CYP2D6 activity for morphine exposure was reproduced. Second, the model demonstrated that mild and moderate renal impairment and co-administration of CYP3A4 inhibitors have only minor influences on opioid exposure. Third, the model showed - in contrast to current opinion - that increased UGT2B7 activity is associated with a decrease in active opioid exposure.
CONCLUSION: Overall, the model-based analysis predicts a wide range of morphine levels after codeine administration and supports recent doubts about safe and efficacious use of codeine for analgesia in non-genotyped individuals.

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Year:  2012        PMID: 22352453     DOI: 10.2165/11597930-000000000-00000

Source DB:  PubMed          Journal:  Mol Diagn Ther        ISSN: 1177-1062            Impact factor:   4.074


  47 in total

1.  CYP2D6 worldwide genetic variation shows high frequency of altered activity variants and no continental structure.

Authors:  Johanna Sistonen; Antti Sajantila; Oscar Lao; Jukka Corander; Guido Barbujani; Silvia Fuselli
Journal:  Pharmacogenet Genomics       Date:  2007-02       Impact factor: 2.089

2.  Comprehensive analysis of the genetic factors determining expression and function of hepatic CYP2D6.

Authors:  U M Zanger; J Fischer; S Raimundo; T Stüven; B O Evert; M Schwab; M Eichelbaum
Journal:  Pharmacogenetics       Date:  2001-10

3.  Codeine, ultrarapid-metabolism genotype, and postoperative death.

Authors:  Catherine Ciszkowski; Parvaz Madadi; Michael S Phillips; Albert E Lauwers; Gideon Koren
Journal:  N Engl J Med       Date:  2009-08-20       Impact factor: 91.245

4.  In vitro-in vivo extrapolation predicts drug-drug interactions arising from inhibition of codeine glucuronidation by dextropropoxyphene, fluconazole, ketoconazole, and methadone in humans.

Authors:  Pritsana Raungrut; Verawan Uchaipichat; David J Elliot; Benjamas Janchawee; Andrew A Somogyi; John O Miners
Journal:  J Pharmacol Exp Ther       Date:  2010-05-18       Impact factor: 4.030

5.  Kinetics of morphine in patients with renal failure.

Authors:  J Säwe; J O Svensson; I Odar-Cederlöf
Journal:  Lancet       Date:  1985-07-27       Impact factor: 79.321

6.  Codeine intoxication in the neonate.

Authors:  B Magnani; R Evans
Journal:  Pediatrics       Date:  1999-12       Impact factor: 7.124

7.  Characteristic glucuronidation pattern of physiologic concentration of morphine in rat brain.

Authors:  E Nagano; H Yamada; K Oguri
Journal:  Life Sci       Date:  2000-10-06       Impact factor: 5.037

8.  Codeine intoxication associated with ultrarapid CYP2D6 metabolism.

Authors:  Yvan Gasche; Youssef Daali; Marc Fathi; Alberto Chiappe; Silvia Cottini; Pierre Dayer; Jules Desmeules
Journal:  N Engl J Med       Date:  2004-12-30       Impact factor: 91.245

9.  The analgesic activity of morphine-6-glucuronide.

Authors:  R Osborne; P Thompson; S Joel; D Trew; N Patel; M Slevin
Journal:  Br J Clin Pharmacol       Date:  1992-08       Impact factor: 4.335

10.  A computational systems biology software platform for multiscale modeling and simulation: integrating whole-body physiology, disease biology, and molecular reaction networks.

Authors:  Thomas Eissing; Lars Kuepfer; Corina Becker; Michael Block; Katrin Coboeken; Thomas Gaub; Linus Goerlitz; Juergen Jaeger; Roland Loosen; Bernd Ludewig; Michaela Meyer; Christoph Niederalt; Michael Sevestre; Hans-Ulrich Siegmund; Juri Solodenko; Kirstin Thelen; Ulrich Telle; Wolfgang Weiss; Thomas Wendl; Stefan Willmann; Joerg Lippert
Journal:  Front Physiol       Date:  2011-02-24       Impact factor: 4.566

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  13 in total

1.  ABCC3 and OCT1 genotypes influence pharmacokinetics of morphine in children.

Authors:  Raja Venkatasubramanian; Tsuyoshi Fukuda; Jing Niu; Tomoyuki Mizuno; Vidya Chidambaran; Alexander A Vinks; Senthilkumar Sadhasivam
Journal:  Pharmacogenomics       Date:  2014-07       Impact factor: 2.533

2.  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

3.  A physiome interoperability roadmap for personalized drug development.

Authors:  Simon Thomas; Katherine Wolstencroft; Bernard de Bono; Peter J Hunter
Journal:  Interface Focus       Date:  2016-04-06       Impact factor: 3.906

4.  Genetic analysis of drug metabolizing phase-I enzymes CYP3A4 in Tibetan populations.

Authors:  Lijun Liu; Yu Chang; Shuli Du; Xugang Shi; Hua Yang; Longli Kang; Tianbo Jin; Dongya Yuan; Yongjun He
Journal:  J Genet       Date:  2017-06       Impact factor: 1.166

5.  CYP2D6 pharmacogenetic and oxycodone pharmacokinetic association study in pediatric surgical patients.

Authors:  Rajiv Balyan; Marc Mecoli; Raja Venkatasubramanian; Vidya Chidambaran; Nichole Kamos; Smokey Clay; David L Moore; Jagroop Mavi; Chris D Glover; Peter Szmuk; Alexander Vinks; Senthilkumar Sadhasivam
Journal:  Pharmacogenomics       Date:  2017-02-17       Impact factor: 2.533

6.  Life-threatening adverse events following therapeutic opioid administration in adults: is pharmacogenetic analysis useful?

Authors:  Parvaz Madadi; Johanna Sistonen; Gregory Silverman; Rebecca Gladdy; Colin J Ross; Bruce C Carleton; Jose C Carvalho; Michael R Hayden; Gideon Koren
Journal:  Pain Res Manag       Date:  2013 May-Jun       Impact factor: 3.037

Review 7.  Personalized medicine and opioid analgesic prescribing for chronic pain: opportunities and challenges.

Authors:  Stephen Bruehl; A Vania Apkarian; Jane C Ballantyne; Ann Berger; David Borsook; Wen G Chen; John T Farrar; Jennifer A Haythornthwaite; Susan D Horn; Michael J Iadarola; Charles E Inturrisi; Lixing Lao; Sean Mackey; Jianren Mao; Andrea Sawczuk; George R Uhl; James Witter; Clifford J Woolf; Jon-Kar Zubieta; Yu Lin
Journal:  J Pain       Date:  2013-02       Impact factor: 5.820

8.  The feasibility of physiologically based pharmacokinetic modeling in forensic medicine illustrated by the example of morphine.

Authors:  Nadine Schaefer; Daniel Moj; Thorsten Lehr; Peter H Schmidt; Frank Ramsthaler
Journal:  Int J Legal Med       Date:  2017-12-01       Impact factor: 2.686

9.  A mechanistic, model-based approach to safety assessment in clinical development.

Authors:  J Lippert; M Brosch; O von Kampen; M Meyer; H-U Siegmund; C Schafmayer; T Becker; B Laffert; L Görlitz; S Schreiber; P J Neuvonen; M Niemi; J Hampe; L Kuepfer
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2012-11-07

10.  Integrating cellular metabolism into a multiscale whole-body model.

Authors:  Markus Krauss; Stephan Schaller; Steffen Borchers; Rolf Findeisen; Jörg Lippert; Lars Kuepfer
Journal:  PLoS Comput Biol       Date:  2012-10-25       Impact factor: 4.475

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