Literature DB >> 23229783

Cytotoxic effects of benzbromarone and its 1'-hydroxy metabolite in human hepatocarcinoma FLC4 cells cultured on micro-space cell culture plates.

Kaoru Kobayashi1, Eri Kajiwara, Masayuki Ishikawa, Hanaka Mimura, Hidenobu Oka, Yoko Ejiri, Masaya Hosoda, Kan Chiba.   

Abstract

Treatment with benzbromarone (BBR), a potent uricosuric drug, can be associated with liver injury. Recently, we reported that culture of human hepatocellular carcinoma FLC-4 cells on micro-space cell culture plates could increase the functional expression of drug-metabolizing enzymes including CYP3A4 and CYP2C9, which are involved in 1'-hydroxylation and 6-hydroxylation of BBR, respectively. Therefore, we examined whether BBR and its two metabolites (1'-hydroxy BBR and 6-hydroxy BBR) have cytotoxic effects in FLC4 cells cultured on micro-space cell culture plates. The present study showed that BBR and 1'-hydroxy BBR, but not 6-hydroxy BBR, have cytotoxic effects in cells cultured on micro-space cell culture plates. BBR-induced cytotoxicity was decreased by CYP3A inhibitors (itraconazole and ketoconazole), an Nrf2 activator (tert-butylhydroquinone) and a GSH precursor (N-acetyl-L-cystein). In contrast, BBR-induced cytotoxicity was increased by a GSH biosynthesis inhibitor (buthionine sulfoximine) and an inhibitor of NAD(P)H quinone oxidoreductase 1 (dicoumarol). These results suggested that metabolic activation of 1'-hydroxy BBR via CYP3A, formation of quinone metabolites and the decrease in GSH levels were involved in the BBR-induced cytotoxicity observed in FLC4 cells cultured on micro-space cell culture plates.

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Year:  2012        PMID: 23229783     DOI: 10.2133/dmpk.dmpk-12-nt-105

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


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4.  A small compound spindlactone A sensitizes human endometrial cancer cells to TRAIL-induced apoptosis via the inhibition of NAD(P)H dehydrogenase quinone 1.

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5.  Tumor Immune Microenvironment Related Gene-Based Model to Predict Prognosis and Response to Compounds in Ovarian Cancer.

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  5 in total

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