Literature DB >> 8638929

Distinct effects of phenobarbital and its N-methylated derivative on liver cytochrome P450 induction.

N Murayama1, M Shimada, Y Yamazoe, K Sogawa, K Nakayama, Y Fujii-Kuriyama, R Kato.   

Abstract

The relationship between barbiturate structures and their effects on induction of rat cytochrome P450 forms was studied in primary cultured hepatocytes. Treatment of hepatocytes cultured on matrigel with 1 mM barbital, N-methylbarbital, cyclobarbital, hexobarbital, phenobarbital (PB), or mephobarbital (N-methyl-PB) resulted in increased amounts of CYP2B1/2 and CYP2C6 forms. Microsomal CYP3A content was also enhanced by treatment with these barbiturates, except for barbital. Although no relationship was observed between the levels of CYP2B1/2 and CYP3A, ratios of CYP3A/CYP2B1 plus CYP2B2 contents were invariably higher with hepatocytes treated with N-methylated barbiturates than with the nonmethylated analogs. Consistent results were also observed in vivo in rats treated with PB and N-methyl-PB. These results indicate the difference in the structure requirement for induction of CYP2B and CYP3A. In addition, N-methyl-PB was found to suppress PB-mediated induction of CYP2B1. Hepatic levels of CYP2B1 mRNA and protein were increased by treatment with PB or N-methyl-PB alone, but decreased by cotreatment with 1 mM PB and N-methyl-PB. The suppression has been shown to occur at the transcriptional level of the CYP2B1 gene by using a chloramphenicol acetyltransferase reporter-CYP2B1 fused gene system.

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Year:  1996        PMID: 8638929     DOI: 10.1006/abbi.1996.0159

Source DB:  PubMed          Journal:  Arch Biochem Biophys        ISSN: 0003-9861            Impact factor:   4.013


  3 in total

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Journal:  Physiol Biochem Zool       Date:  2013-08-14       Impact factor: 2.247

Review 2.  Zonation of hepatic cytochrome P-450 expression and regulation.

Authors:  T Oinonen; K O Lindros
Journal:  Biochem J       Date:  1998-01-01       Impact factor: 3.857

Review 3.  Use of in vitro and in vivo data to estimate the likelihood of metabolic pharmacokinetic interactions.

Authors:  R J Bertz; G R Granneman
Journal:  Clin Pharmacokinet       Date:  1997-03       Impact factor: 6.447

  3 in total

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