Hedgpeth Bryan, Missall Roy, Bambaci Anna, Smolen Matthew, Yavuz Sevgi, Cottrell Jessica, Chu Tinchun, Chang Sulie L
Department of Biological Science, Seton Hall University, South Orange, NJ 07079, USA.
The Institute of NeuroImmune Pharmacology (I-NIP), Seton Hall University, South Orange, NJ 07079, USA.
Medicines (Basel). 2019 Jul 25;6(3):79. doi: 10.3390/medicines6030079.
Drug-ethanol interaction can result in hepatotoxicity. The liver is capable of metabolizing both acetaminophen and ethanol; however, severe acute or moderate chronic simultaneous exposure can cause cell and tissue damage. Therapeutic doses can become harmful if gene activity is altered via competition for metabolic pathways. Simultaneous intake of ethanol and acetaminophen results in overactive CYP2E1 and depletion of glutathione, leaving NAPQI to build up in the liver. NAPQI is a hepatotoxic substance typically neutralized by glutathione. Bioinformatics tools including PharmGKB, Chemical Annotation Retrieval Toolkit, Transcriptome Analysis Console 4.0 (TAC), wikipathways, STRING, and Ingenuity Pathway Analysis (IPA) were used to explore interactive metabolic pathways of ethanol-acetaminophen exposure as a proof of concept for assessing drug-drug or drug-alcohol interactions. As the ethanol-acetaminophen comparison indicates, bioinformatics tools may be used to understand interactive pathways following exposure to ethanol and acetaminophen, with potential extrapolation to other drug-drug/drug-ethanol interactions. Direct interactive effects were not able to be confirmed through this bioinformatics study due to the lack of existing ethanol-acetaminophen simultaneous exposure data. This work suggests that a battery of software applications should be used to assess interactive effects.
药物与乙醇的相互作用可导致肝毒性。肝脏能够代谢对乙酰氨基酚和乙醇;然而,严重急性或中度慢性同时接触可导致细胞和组织损伤。如果通过竞争代谢途径改变基因活性,治疗剂量可能会变得有害。同时摄入乙醇和对乙酰氨基酚会导致CYP2E1过度活跃和谷胱甘肽耗竭,使NAPQI在肝脏中蓄积。NAPQI是一种通常由谷胱甘肽中和的肝毒性物质。使用包括PharmGKB、化学注释检索工具包、转录组分析控制台4.0(TAC)、维基途径、STRING和 Ingenuity途径分析(IPA)在内的生物信息学工具来探索乙醇-对乙酰氨基酚暴露的交互式代谢途径,作为评估药物-药物或药物-酒精相互作用概念验证。正如乙醇-对乙酰氨基酚比较所示,生物信息学工具可用于了解接触乙醇和对乙酰氨基酚后的交互式途径,并有可能外推到其他药物-药物/药物-乙醇相互作用。由于缺乏现有的乙醇-对乙酰氨基酚同时暴露数据,无法通过这项生物信息学研究确认直接的交互作用。这项工作表明,应使用一系列软件应用程序来评估交互作用。