https://orcid.org/0000-0001-6014-5197
Abstract
Purpose
Methotrexate (MTX) is used as an anchor drug for the treatment of rheumatoid arthritis (RA) and there may be differences in drug action between genotypes. The purpose of this study was to investigate the relationship between clinical efficacy response and disease activity of MTX monotherapy with methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) polymorphisms.
Patients and Methods
In the study, a population of 32 patients in East China with early RA fulfilling the diagnostic standards of the American College of Rheumatology (ACR) were enrolled, all of them received MTX monotherapy. Genotyping of patients MTHFR C677T and A1298C, MTRR A66G using tetra-primer ARMS-PCR method and sanger sequencing to verify its accuracy.
Results
The distribution of three polymorphic genotypes that were studied is in accordance with the Hardy-Weinberg genetic equilibrium. The patient pathology variables smoke (OR = 0.088, P = 0.037), drink alcohol (OR = 0.039, P = 0.016) and males (OR = 0.088, P = 0.037) were significantly associated with non-response to MTX. Genotype, allele distribution and genetic statistical models were not found to be related to MTX treatment response and disease activity in both the response groups and non-response groups.
Conclusion
Our findings suggest that the MTHFR C677T, MTHFR A1298C and MTRR A66G polymorphisms may not predict MTX clinical treatment response and disease activity in patients with early RA. The study revealed that smoke, alcohol, and males were possible influential factors for MTX non-response.
Ethics Statement
This study was approved by the Ethics Committee of Ningbo First Hospital and written informed consent was obtained from all participants. Subject identification information was not disclosed in the study, and patients were identified by numbers to indicate.
Acknowledgments
This research was supported by the Natural Science Foundation of Ningbo (No. 2021J037), the 3315 Innovation Team Foundation of Ningbo (No.2019A-14-C) and Special Research Assistant Program of the Chinese Academy of Sciences.
Disclosure
The authors report no conflicts of interest in this work.