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Updated: Jun 9, 2026

An Adoptive Transfer Model of Rheumatoid Arthritis in Mice
Published on: June 6, 2025
Genetic variants within the MAP kinase signalling network and anti-TNF treatment response in rheumatoid arthritis
Lydia R Coulthard1, John C Taylor, Steve Eyre
1NIHR-Leeds Musculoskeletal Biomedical Research Unit (NIHR-LMBRU), University of Leeds, Leeds, UK.
Background:
Rheumatoid arthritis (RA) does not always respond to available treatments, including tumour necrosis factor (TNF) antagonists. A study was undertaken to investigate whether genetic variation within genes, encoding proteins in the p38 signalling network, contributes to the variable response to TNF antagonists.
Methods:
1102 UK Caucasian patients with RA receiving anti-TNF therapy (infliximab, adalimumab and etanercept) were genotyped for 38 pairwise-tagging single nucleotide polymorphisms (SNPs) spanning 12 candidate genes from the p38 network. Regression analyses were performed to test association between genotype and treatment response at 6 months using both absolute change in DAS28 (Disease Activity Score across 28 joints) and European League Against Rheumatism (EULAR) improvement criteria. Stratified analyses were performed to investigate association with individual therapies.
Results:
Seven SNPs, in five genes, were associated with improvement in DAS28 at 6 months at a nominal 0.1 significance level, jointly explaining 3% of variance in outcome in a model adjusting for other predictors. These encoded proteins both upstream (MKK6) and downstream (MAPKAPK2, MSK1, MSK2) of p38, and MAPK14, the p38-α isoform of p38 MAPK. One SNP (rs2716191 in MAP2K6) was associated with EULAR response at the 0.1 level. SNPs generally showed greater correlation with response to infliximab and adalimumab, but not to etanercept.
Conclusions:
More SNPs than would be expected by chance, mapping to the p38 signalling network, showed association with the anti-TNF response as a whole, and particularly with the response to infliximab and adalimumab. Validation of these findings in independent cohorts is warranted.
Insights
Genetic variations in the p38 signalling network are linked to rheumatoid arthritis (RA) treatment response. Certain single nucleotide polymorphisms (SNPs) correlate with effectiveness of anti-tumour necrosis factor (TNF) therapies, particularly infliximab and adalimumab.
Area of Science:
- Immunogenetics
- Pharmacogenomics
- Rheumatology
Background:
- Rheumatoid arthritis (RA) treatment response to tumour necrosis factor (TNF) antagonists is variable.
- Investigating genetic factors influencing anti-TNF therapy efficacy is crucial for personalized medicine.
Purpose of the Study:
- To explore the association between genetic variations in the p38 signalling network and patient response to anti-TNF therapies in RA.
- To identify specific single nucleotide polymorphisms (SNPs) that predict treatment outcomes.
Main Methods:
- Genotyping of 1102 UK Caucasian RA patients receiving infliximab, adalimumab, or etanercept for 38 SNPs in 12 p38 network genes.
- Regression analyses assessed genotype-treatment response correlation using DAS28 and EULAR criteria at 6 months.
- Stratified analyses examined associations with individual anti-TNF agents.
Main Results:
- Seven SNPs in five genes within the p38 network were associated with improved DAS28 scores, collectively explaining 3% of outcome variance.
- SNPs in genes encoding upstream (MKK6) and downstream (MAPKAPK2, MSK1, MSK2) proteins, and p38-α MAPK (MAPK14), showed associations.
- One SNP (rs2716191 in MAP2K6) correlated with EULAR response; associations were stronger for infliximab and adalimumab than etanercept.
Conclusions:
- The p38 signalling network contains SNPs associated with anti-TNF response in RA, particularly for infliximab and adalimumab.
- These genetic markers may contribute to predicting treatment efficacy.
- Independent cohort validation is recommended to confirm these pharmacogenetic findings.
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