AI Article Synopsis

  • - Drug-ethanol interactions can lead to liver damage, particularly when acetaminophen and ethanol are taken together, as this can overload the liver's ability to process these substances.
  • - The combination of ethanol and acetaminophen can increase the activity of enzymes that generate harmful compounds in the liver while depleting protective substances, leading to potential toxicity.
  • - A study utilized various bioinformatics tools to analyze the metabolic pathways involved in the ethanol-acetaminophen interaction, but it highlighted the need for more data to confirm direct effects and emphasized the importance of multiple software applications for assessing such interactions.

Article Abstract

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.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6789846PMC
http://dx.doi.org/10.3390/medicines6030079DOI Listing

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