Evidence map›Paper›PMID 25876064›Full record

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.

Keith K Burkhart, Darrell Abernethy, David Jackson

Open access · bronzeAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
3.1field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A scientist engineer's contribution to therapeutic discovery and development.Experimental biology and medicine (Maywood, N.J.) · 2018
    Article
  6. Article
  7. Article
  8. Safety profile of lamotrigine in overdose.Therapeutic advances in psychopharmacology · 2016
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 2 countries.

Keith K BurkhartMedical Informatics Team, Office of Clinical Pharmacology, Office of Translational Science, Division of Applied Regulatory Science, Center for Drug Evaluation and Research, Food and Drug Administration, Bldg 64, Rm 2012, 10903 New Hampshire Ave, Silver Spring, MD, 20993, USA, keith.burkhart@fda.hhs.gov.
Darrell Abernethy
David Jackson
Center for Drug Evaluation and Research · USEuropean Molecular Biology Laboratory · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Adverse Drug Reaction Reporting SystemsCarrier ProteinsCell ProliferationCytochrome P-450 Enzyme SystemData MiningGenes, MHC Class IIHumansIncidenceKeratinocytesSoftwareStevens-Johnson SyndromeStructure-Activity RelationshipUnited StatesUnited States Food and Drug AdministrationCarrier ProteinsCytochrome P-450 Enzyme System

Identifiers

PMID25876064
PMCPMC4469729
OpenAlexW2062453048

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.