For prevention of joint destruction in rheumatoid arthritis, optimal management of therapy with disease-modifying antirheumatic drugs is essential. Pharmacogenomic evidence, if reliable, may be incorporated in the treatment of rheumatoid arthritis to achieve a more efficient activity control with minimized adverse events.
We conducted retrospective studies to validate our previous three different results about the association between adverse events or efficacy of two different disease-modifying antirheumatic drugs and genomic variations. Association between single nucleotide polymorphisms in N-acetyltransferase 2 gene (NAT2) and adverse events by sulfasalazine and association between C677T or A1298C in 5,10-methylenetetrahydrofolate reductase gene (MTHFR) and responses to methotrexate were examined.
Patients without the wild-type haplotype at NAT2 were more likely to suffer from overall adverse events [n=186, P=0.001, relative risk (RR) 3.31, 95% confidence interval (CI) 1.76-6.22] and severe adverse events (P=0.015, RR 24.6, 95% CI 2.37-254.53) by sulfasalazine. Patients with the T allele at C677T in MTHFR were more susceptible to overall adverse events (n=156, P=0.003; RR 2.4, 95% CI 1.29-4.55) while patients with the C allele at A1298C were less likely to be treated with a higher dose (>6 mg/week) of methotrexate in one year of treatment (n=159, P=0.008, RR 1.84, 95% CI 1.12-3.01). In all three association studies, the results were essentially the same as previously reported.
As three studies on the associations between genomic variations and adverse events or efficacy of two different disease-modifying antirheumatic drugs were replicated, the usefulness of the tests is worth being tested in clinical practice.