Analysis of association between polymorphisms of MTHFR, MTHFD1 and RFC1 genes and efficacy and toxicity of methotrexate in rheumatoid arthritis patients
Bibliographic record
Abstract
A folate analogue methotrexate (MTX) is the most commonly used disease-modifying drug in the treatment of rheumatoid arthritis. However, the clinical response of RA patients treated with MTX shows interindividual differences and 30% of patients discontinue therapy due to the side effects. In a group of 184 RA patients treated with MTX we have investigated whether polymorphisms in MTHFR (rs1801133, rs1801131), MTHFD1 (rs2236225) and RFC1 (rs144320551) genes may have impact on MTX efficacy and/or adverse drugs effects (ADEs). The efficacy of the MTX therapy has been estimated using the disease activity score in 28 joints (DAS28-ESR) based on EULAR criteria and relative DAS28 values (rDAS28) and all adverse drug events were recorded. Patients were genotyped for selected polymorphism by PCR-RFLP method. According to the EULAR response criteria after 6 months of MTX therapy 146 (79.3%) patients were classified as responders, (17 patients (11.6%) were good and 129 patients (88.4%) were moderate responders) and 38 patients (20.7%) as non-responders. ADEs were observed in 53 (28.8%) patients. The majority of ADEs were mild (36 (19.56%) patients) to moderate (12 (6.25%) patients). Five patients (2.7%) had serious ADEs. Association studies have been conducted between obtained genotypes and the efficacy and toxicity of MTX. We have observed no association between polymorphisms and efficacy or toxicity of MTX in RA patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".