Literature DB >> 28737446

Quantitative in vitro phenotyping and prediction of drug interaction potential of CYP2B6 substrates as victims.

Raghava Choudary Palacharla1, Ramakrishna Nirogi1, Venkatesham Uthukam1, Arunkumar Manoharan1, Ranjith Kumar Ponnamaneni1, Ilayaraja Kalaikadhiban1.   

Abstract

1. Determination of fm, CYP for a compound is critical to assess the potential risk of a drug candidate as a victim of DDI. Several compounds are identified as CYP2B6 substrates, but the fm, CYP2B6 values are not determined quantitatively. 2. Two methods of reaction phenotyping, the chemical inhibition method and metabolism in rCYP enzymes, were used to determine the relative contributions of the enzymes. Chemical inhibition method was also conducted in the presence of BSA (0.5% w/v). 3. The results confirm with the earlier studies concerning the identity of the CYP2B6 enzyme. The fm, CYP2B6 values for artemisinin, bupropion, clopidogrel, ketamine, selegiline, sertraline and ticlopidine were 0.24, 0.28, 0.15, 0.45, 0.46, 0.42 and 0.54, respectively, in HLM determined by chemical inhibition method. The fm, CYP2B6 values for artemisinin, bupropion, clopidogrel, ketamine, selegiline, sertraline and ticlopidine were 0.46, 0.17, 0.15, 0.60, 0.51, 0.66 and 0.77, respectively, in HLM determined by chemical inhibition method in the presence of BSA (0.5% w/v). 4. Bupropion metabolism is majorly mediated by CYP2C19 (0.41) with a minor contribution from CYP2B6 (0.16) in the presence of BSA. Ticlopidine is a time-dependent inhibitor of both CYP2B6 and CYP2C19 that can inhibit the bupropion metabolism by 50-60%.

Entities:  

Keywords:  Chemical inhibition; DDI; HLM; ISEF; RAF; fm CYP2B6; mechanistic static model; rCYP; victim

Mesh:

Substances:

Year:  2017        PMID: 28737446     DOI: 10.1080/00498254.2017.1354267

Source DB:  PubMed          Journal:  Xenobiotica        ISSN: 0049-8254            Impact factor:   1.908


  5 in total

1.  PharmGKB summary: sertraline pathway, pharmacokinetics.

Authors:  Rachel Huddart; J Kevin Hicks; Laura B Ramsey; Jeffrey R Strawn; D Max Smith; Margarita Bobonis Babilonia; Russ B Altman; Teri E Klein
Journal:  Pharmacogenet Genomics       Date:  2020-02       Impact factor: 2.000

2.  Halogen Substitution Influences Ketamine Metabolism by Cytochrome P450 2B6: In Vitro and Computational Approaches.

Authors:  Pan-Fen Wang; Alicia Neiner; Thomas R Lane; Kimberley M Zorn; Sean Ekins; Evan D Kharasch
Journal:  Mol Pharm       Date:  2019-01-10       Impact factor: 5.364

3.  Effects of different CYP2C19 genotypes on prognosis of patients complicated with atrial fibrillation taking clopidogrel after PCI.

Authors:  Qifeng Zhang; Zhixiong Zhong; Bin Li; Zhengxian Liao; Pingsen Zhao; Zhuolian Ye; Xuebo He; Hao Wang; Wenhao Chen; Junping Huang
Journal:  Exp Ther Med       Date:  2018-08-22       Impact factor: 2.447

4.  Semimechanistic Population Pharmacokinetic Model to Predict the Drug-Drug Interaction Between S-ketamine and Ticlopidine in Healthy Human Volunteers.

Authors:  Muhammad W Ashraf; Marko A Peltoniemi; Klaus T Olkkola; Pertti J Neuvonen; Teijo I Saari
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2018-09-10

Review 5.  CYP2B6 Functional Variability in Drug Metabolism and Exposure Across Populations-Implication for Drug Safety, Dosing, and Individualized Therapy.

Authors:  Immaculate M Langmia; Katja S Just; Sabrina Yamoune; Jürgen Brockmöller; Collen Masimirembwa; Julia C Stingl
Journal:  Front Genet       Date:  2021-07-12       Impact factor: 4.599

  5 in total

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