Literature DB >> 21869535

Individual differences in pharmacokinetics and pharmacodynamics of anesthetic agent propofol with regard to CYP2B6 and UGT1A9 genotype and patient age.

Fumiyasu Kansaku1, Toshio Kumai, Kuniharu Sasaki, Makito Yokozuka, Makiko Shimizu, Tadashi Tateda, Norie Murayama, Shinichi Kobayashi, Hiroshi Yamazaki.   

Abstract

Propofol (2,6-diisopropylphenol) is administered intravenously for induction and maintenance of anesthesia; however, cases of progressive myocardial failure (propofol syndrome) related to the use of propofol have been reported. In the present study, the individual differences in pharmacokinetics and/or pharmacodynamics of propofol were investigated in patients who were genotyped for CYP2B6 and UGT1A9. Fifty-one patients treated with propofol in St. Marianna University Hospital were recruited for this study and provided written informed consent. The following parameters were analyzed: awakening time as a pharmacodynamic parameter, duration of propofol infusion, drug concentration in plasma after treatment, genotypes of CYP2B6 and UGT1A9, and age (42-84 years, mean of 65 years). Propofol was rapidly cleared from the blood of the subjects as a result of distribution and elimination. The awakening time after stopping propofol infusion was significantly correlated with the duration of infusion and the maximum concentration of propofol in these subjects. The maximum plasma concentration of propofol after normalizing with the duration of infusion was affected by the CYP2B6 G516T variant (related to impaired function) and was significantly affected by a propofol risk index score that incorporated CYP2B6 G516T and UGT1A9 I399C>T (high expression) genotypes and advanced age. These results provide important information indicating that the genotypes of the two enzymes studied and advanced age are combinative determinant factors of the pharmacokinetics and/or pharmacodynamics of propofol.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21869535     DOI: 10.2133/dmpk.dmpk-11-rg-039

Source DB:  PubMed          Journal:  Drug Metab Pharmacokinet        ISSN: 1347-4367            Impact factor:   3.614


  17 in total

1.  Impact of aminophylline on the pharmacodynamics of propofol in beagle dogs.

Authors:  Soo-Han Lee; Hyun-Ji Kang; Seok-Joon Jin; Do-Yang Park; Yoon-Ji Choi; Byung-Moon Choi; Eun-Kyung Lee; Gyu-Jeong Noh
Journal:  J Pharmacokinet Pharmacodyn       Date:  2014-08-24       Impact factor: 2.745

2.  CYP2B6 Genotype Guided Dosing of Propofol Anesthesia in the Elderly based on Nonparametric Population Pharmacokinetic Modeling and Simulations.

Authors:  Andy R Eugene
Journal:  Int J Clin Pharmacol Toxicol       Date:  2017-01-03

3.  High-performance liquid chromatographic determination of propofol in human plasma: comparison of different heteroscedastic calibration curve models.

Authors:  Pooria Taghavi Moghaddam; Mohammad Reza Pipelzadeh; Sholeh Nesioonpour; Nader Saki; Saeed Rezaee
Journal:  Adv Pharm Bull       Date:  2014-08-10

4.  Inhibition of Cytochrome P450 2B6 Activity by Voriconazole Profiled Using Efavirenz Disposition in Healthy Volunteers.

Authors:  Zeruesenay Desta; Ingrid F Metzger; Nancy Thong; Jessica B L Lu; John T Callaghan; Todd C Skaar; David A Flockhart; Raymond E Galinsky
Journal:  Antimicrob Agents Chemother       Date:  2016-10-21       Impact factor: 5.191

5.  Impact of the Cytochrome P450 2B6 (CYP2B6) Gene Polymorphism c.516G>T (rs3745274) on Propofol Dose Variability.

Authors:  Artemísia L Mourão; Fabiana G de Abreu; Marilu Fiegenbaum
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2016-10       Impact factor: 2.441

6.  Impact of clinical factors and UGT1A9 and CYP2B6 genotype on inter-individual differences in propofol pharmacokinetics.

Authors:  Akihiro Kanaya; Toshihiro Sato; Nobuo Fuse; Hiroaki Yamaguchi; Nariyasu Mano; Masanori Yamauchi
Journal:  J Anesth       Date:  2018-02-21       Impact factor: 2.078

7.  Urinary metabolites after intravenous propofol bolus in neonates.

Authors:  Anne Smits; Rene Verbesselt; Aida Kulo; Gunnar Naulaers; Jan de Hoon; Karel Allegaert
Journal:  Eur J Drug Metab Pharmacokinet       Date:  2012-11-17       Impact factor: 2.441

8.  The use of PBPK modeling across the pediatric age range using propofol as a case.

Authors:  Robin Michelet; Jan Van Bocxlaer; Karel Allegaert; An Vermeulen
Journal:  J Pharmacokinet Pharmacodyn       Date:  2018-10-08       Impact factor: 2.745

9.  High-resolution melt analysis to detect sequence variations in highly homologous gene regions: application to CYP2B6.

Authors:  Greyson P Twist; Roger Gaedigk; J Steven Leeder; Andrea Gaedigk
Journal:  Pharmacogenomics       Date:  2013-06       Impact factor: 2.533

Review 10.  Pharmacogenomic considerations for medications in the perioperative setting.

Authors:  Ellie H Jhun; Jeffrey L Apfelbaum; David M Dickerson; Sajid Shahul; Randall Knoebel; Keith Danahey; Mark J Ratain; Peter H O'Donnell
Journal:  Pharmacogenomics       Date:  2019-07       Impact factor: 2.638

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.