Prediction of Methotrexate Clinical Response in Portuguese Rheumatoid Arthritis Patients: Implication ofMTHFRrs1801133 andATICrs4673993 Polymorphisms

Author:

Lima Aurea123,Monteiro Joaquim1,Bernardes Miguel45,Sousa Hugo246,Azevedo Rita24,Seabra Vitor1,Medeiros Rui2367

Affiliation:

1. CESPU, Institute of Research and Advanced Training in Health Sciences and Technologies, Department of Pharmaceutical Sciences, Higher Institute of Health Sciences (ISCS-N), Rua Central de Gandra 1317, 4585-116 Gandra PRD, Portugal

2. Molecular Oncology Group CI, Portuguese Institute of Oncology of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal

3. Abel Salazar Institute for the Biomedical Sciences (ICBAS), University of Porto, Rua de Jorge Viterbo Ferreira 228, 4050-313 Porto, Portugal

4. Faculty of Medicine of University of Porto (FMUP), Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal

5. Rheumatology Department, São João Hospital Center, Al. Prof. Hernâni Monteiro, 4200-319 Porto, Portugal

6. Virology Service, Portuguese Institute of Oncology of Porto (IPO-Porto), Rua Dr. António Bernardino de Almeida, 4200-072 Porto, Portugal

7. Research Department-Portuguese League Against Cancer (LPCC-NRNorte), Estrada Interior da Circunvalação 6657, 4200-177 Porto, Portugal

Abstract

Objective.Methotrexate (MTX), the most used drug in rheumatoid arthritis (RA) treatment, showing variability in clinical response, is often associated with genetic polymorphisms. This study aimed to elucidate the role of methylenetetrahydrofolate reductase (MTHFR) C677T and aminoimidazole carboxamide adenosine ribonucleotide transformylase (ATIC) T675C polymorphisms and clinicopathological variables in clinical response to MTX in Portuguese RA patients.Methods.Study included 233 RA patients treated with MTX for at least six months.MTHFRC677T andATICT675C polymorphisms were genotyped and clinicopathological variables were collected. Statistical analyses were performed and binary logistic regression method adjusted to possible confounding variables.Results.Multivariate analyses demonstrated thatMTHFR677TT (OR = 4.63;P=0.013) andATIC675T carriers (OR = 5.16;P=0.013) were associated with over 4-fold increased risk for nonresponse. For clinicopathological variables, noncurrent smokers (OR = 7.98;P=0.001), patients positive to anti-cyclic citrullinated peptide (OR = 3.53;P=0.004) and antinuclear antibodies (OR = 2.28;P=0.045), with higher health assessment questionnaire score (OR = 2.42;P=0.007), and nonsteroidal anti-inflammatory drug users (OR = 2.77;P=0.018) were also associated with nonresponse. Contrarily, subcutaneous administration route (OR = 0.11;P<0.001) was associated with response.Conclusion.Our study suggests thatMTHFRC677T andATICT675C genotyping combined with clinicopathological data may help to identify patients whom will not benefit from MTX treatment and, therefore, assist clinicians in personalizing RA treatment.

Funder

Fundaçãao para a Ciência e Tecnologia

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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