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Research ID

hum0209-v1Release info

Latest

Research title

Genetic and clinical prediction models for the efficacy and hepatotoxicity of methotrexate in patients with rheumatoid arthritis: a multicenter cohort study

Research overview

Aims
To develop genetic and clinical prediction models for the efficacy and hepatotoxicity of methotrexate (MTX) in patients with rheumatoid arthritis (RA).
Methods
Among RA patients treated with MTX, 1,966 polymorphisms of 246 enzymes/transporters relevant to pharmacokinetics and pharmacodynamics were detected by the Drug Metabolism Enzymes and Transporters (DMET) microarray and direct sequencing, and clinical variables at baseline were collected. For efficacy, response criteria of the European League Against Rheumatism were used to classify patients as responders or non-responders. Hepatotoxicity was defined as elevations of aspartate aminotransferase or alanine aminotransferase equal to or greater than 1.5 times the reference range upper limit. Genetic and clinical prediction models for the efficacy and hepatotoxicity of MTX were developed in patients with RA.
Participants/materials
166 RA patients
URL
N/A

Datasets

CartDataset IDType of dataAnalysis methodAccess criteriaDate published
NHA000130Genotype frequencies for variants detected by the DMET and direct sequencing
  • Genotyping by array
Unrestricted-access2019-12-13

Data provider

Principal investigator
Shunichi Kumagai
Affiliation
Center for Rheumatic Diseases, Shinko Hospital

Research projects

No research projects.

Grants

No grants.

Related publications

TitleDOIDataset ID
Genetic and clinical prediction models for the efficacy and hepatotoxicity of methotrexate in patients with rheumatoid arthritis: a multicenter cohort study
https://doi.org/10.1038/s41397-019-0134-9 (opens in a new tab)