ArticleRheumatology (Oxford, England)2017
Transcriptional profiles of JIA patient blood with subsequent poor response to methotrexate.
Article in Rheumatology (Oxford, England), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed, 19 citations in OpenAlex.
- CD14Genes & diseases · 2026Article
- Altered B cell activation contributes to the immunopathogenesis of childhood arthritis-associated uveitis.Nature communications · 2026Article
- Estimating sparse regression models in multi-task learning and transfer learning through adaptive penalisation.Bioinformatics (Oxford, England) · 2025Article
- Transcriptional Profiling of Tofacitinib Treatment in Juvenile Idiopathic Arthritis: Implications for Treatment Response Prediction.Arthritis care & research · 2025Article
- Connecting omics signatures and revealing biological mechanisms with iLINCS.Nature communications · 2022Article
- Gene Expression Profiles of Treatment Response and Non-Response in Children With Juvenile Dermatomyositis.ACR open rheumatology · 2022Article
- Differences in peripheral immune system gene expression in frontotemporal degeneration.Medicine · 2022Article
- Review
- Association ofACR open rheumatology · 2019Article
- Targeting Tregs in Juvenile Idiopathic Arthritis and Juvenile Dermatomyositis-Insights From Other Diseases.Frontiers in immunology · 2019Review
- Immunomics in Pediatric Rheumatic Diseases.Frontiers in medicine · 2019Review
- Epigenetic regulation of NfatC1 transcription and osteoclastogenesis by nicotinamide phosphoribosyl transferase in the pathogenesis of arthritis.Cell death discovery · 2019Article
Corrections and comments
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Authors and funding
17 authors at 8 institutions in 1 country.
Funding
Abstract
Objective: The mechanisms that determine the efficacy or inefficacy of MTX in JIA are ill-defined. The objective of this study was to identify a gene expression transcriptional signature associated with poor response to MTX in patients with JIA. Methods: RNA sequencing was used to measure gene expression in peripheral blood mononuclear cells collected from 47 patients with JIA prior to MTX treatment and 14 age-matched controls. Differentially expressed baseline genes between responders and non-responders were evaluated. Biological differences between all JIA patients and controls were explored by constructing a signature of differentially expressed genes. Unsupervised clustering and pathway analysis was performed. Results: A signature of 99 differentially expressed genes (Bonferroni-corrected P < 0.05) capturing the biological differences between all JIA patients and controls was identified. Unsupervised clustering of samples based on this list of 99 genes produced subgroups enriched for MTX response status. Comparing this gene signature with reference signatures from sorted cell populations revealed high concordance between the expression signatures of monocytes and of MTX non-responders. CXCL8 (IL-8) was the most significantly differentially expressed gene transcript comparing all JIA patients with controls (Bonferroni-corrected P = 4.12 × 10-10). Conclusion: Variability in clinical response to MTX in JIA patients is associated with differences in gene transcripts modulated in monocytes. These gene expression profiles may provide a basis for biomarkers predictive of treatment response.
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