ArticleJournal of medical toxicology : official journal of the American College of Medical Toxicology2015
Data Mining FAERS to Analyze Molecular Targets of Drugs Highly Associated with Stevens-Johnson Syndrome.
Article in Journal of medical toxicology : official journal of the American College of Medical Toxicology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- Identifying New Candidate Predictors of Mortality in Japanese Patients with Severe Drug Eruptions.Drug safety · 2025Article
- A Network Analysis of Drug Combinations Associated with Acute Generalized Exanthematous Pustulosis (AGEP).Journal of clinical medicine · 2021Article
- PathFXweb: a web application for identifying drug safety and efficacy phenotypes.Bioinformatics (Oxford, England) · 2019Article
- The human gut chemical landscape predicts microbe-mediated biotransformation of foods and drugs.eLife · 2019Article
- A scientist engineer's contribution to therapeutic discovery and development.Experimental biology and medicine (Maywood, N.J.) · 2018Article
- Translating New Science Into the Drug Review Process: The US FDA's Division of Applied Regulatory Science.Therapeutic innovation & regulatory science · 2018Article
- An opportunity for clinical pharmacology trained physicians to improve patient drug safety: A retrospective analysis of adverse drug reactions in teenagers.F1000Research · 2018Article
- Safety profile of lamotrigine in overdose.Therapeutic advances in psychopharmacology · 2016Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Drug features that are associated with Stevens-Johnson syndrome (SJS) have not been fully characterized. A molecular target analysis of the drugs associated with SJS in the FDA Adverse Event Reporting System (FAERS) may contribute to mechanistic insights into SJS pathophysiology. The publicly available version of FAERS was analyzed to identify disproportionality among the molecular targets, metabolizing enzymes, and transporters for drugs associated with SJS. The FAERS in-house version was also analyzed for an internal comparison of the drugs most highly associated with SJS. Cyclooxygenases 1 and 2, carbonic anhydrase 2, and sodium channel 2 alpha were identified as disproportionately associated with SJS. Cytochrome P450 (CYPs) 3A4 and 2C9 are disproportionately represented as metabolizing enzymes of the drugs associated with SJS adverse event reports. Multidrug resistance protein 1 (MRP-1), organic anion transporter 1 (OAT1), and PEPT2 were also identified and are highly associated with the transport of these drugs. A detailed review of the molecular targets identifies important roles for these targets in immune response. The association with CYP metabolizing enzymes suggests that reactive metabolites and oxidative stress may have a contributory role. Drug transporters may enhance intracellular tissue concentrations and also have vital physiologic roles that impact keratinocyte proliferation and survival. Data mining FAERS may be used to hypothesize mechanisms for adverse drug events by identifying molecular targets that are highly associated with drug-induced adverse events. The information gained may contribute to systems biology disease models.
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