Trial reportArthritis research & therapy2019
Molecular profiling of rheumatoid arthritis patients reveals an association between innate and adaptive cell populations and response to anti-tumor necrosis factor.
Trial report in Arthritis research & therapy, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
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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
18 citing papers in PubMed, 31 citations in OpenAlex.
- Blood-based gene signatures associated with therapeutic response to anti-TNF therapy in rheumatoid arthritis: a combined meta-analytical and machine learning approach.EULAR rheumatology open · 2026Article
- Pathogenic Drivers of Difficult-to-Treat Rheumatoid Arthritis: Synovium and Beyond.International journal of molecular sciences · 2026Review
- Identifying Predictive Biomarkers of Response in Patients With Rheumatoid Arthritis Treated With Adalimumab Using Machine Learning Analysis of Whole-Blood Transcriptomics Data.Arthritis & rheumatology (Hoboken, N.J.) · 2025Article
- Progression to rheumatoid arthritis in at-risk individuals is defined by systemic inflammation and by T and B cell dysregulation.Science translational medicine · 2025Article
- Beyond Monotherapy: Exploring the Efficacy and Safety of Dual Biologic Strategies in Rheumatic Diseases.Biologics : targets & therapy · 2025Review
- Patients with High Baseline Neutrophil-to-Lymphocyte Ratio Exhibit Better Response to Filgotinib as Treatment for Rheumatoid Arthritis.Rheumatology and therapy · 2024Article
- A proteomics study of rheumatoid arthritis patients on etanercept identifies putative biomarkers associated with clinical outcome measures.Rheumatology (Oxford, England) · 2024Article
- Article
- Deciphering the molecular landscape of rheumatoid arthritis offers new insights into the stratified treatment for the condition.Frontiers in immunology · 2024Article
- Peripheral blood cellular dynamics of rheumatoid arthritis treatment informs about efficacy of response to disease modifying drugs.Scientific reports · 2023Article
- Tailored therapeutic decision of rheumatoid arthritis using proteomic strategies: how to start and when to stop?Clinical proteomics · 2023Review
- Mechanisms underlying DMARD inefficacy in difficult-to-treat rheumatoid arthritis: a narrative review with systematic literature search.Rheumatology (Oxford, England) · 2022Review
- Early prediction of clinical response to anti-TNF treatment using multi-omics and machine learning in rheumatoid arthritis.Rheumatology (Oxford, England) · 2022Article
- Dynamics of Type I and Type II Interferon Signature Determines Responsiveness to Anti-TNF Therapy in Rheumatoid Arthritis.Frontiers in immunology · 2022Article
- A Molecular Signature Response Classifier to Predict Inadequate Response to Tumor Necrosis Factor-α Inhibitors: The NETWORK-004 Prospective Observational Study.Rheumatology and therapy · 2021Article
- Inference of an Integrative, Executable Network for Rheumatoid Arthritis Combining Data-Driven Machine Learning Approaches and a State-of-the-Art Mechanistic Disease Map.Journal of personalized medicine · 2021Article
- Application of NGS Technology in Understanding the Pathology of Autoimmune Diseases.Journal of clinical medicine · 2021Review
- Review
Corrections and comments
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Authors and funding
24 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe goal of this study is to use comprehensive molecular profiling to characterize clinical response to anti-TNF therapy in a real-world setting and identify reproducible markers differentiating good responders and non-responders in rheumatoid arthritis (RA).
methodsWhole-blood mRNA, plasma proteins, and glycopeptides were measured in two cohorts of biologic-naïve RA patients (n = 40 and n = 36) from the Corrona CERTAIN (Comparative Effectiveness Registry to study Therapies for Arthritis and Inflammatory coNditions) registry at baseline and after 3 months of anti-TNF treatment. Response to treatment was categorized by EULAR criteria. A cell type-specific data analysis was conducted to evaluate the involvement of the most common immune cell sub-populations. Findings concordant between the two cohorts were further assessed for reproducibility using selected NCBI-GEO datasets and clinical laboratory measurements available in the CERTAIN database.
resultsA treatment-related signature suggesting a reduction in neutrophils, independent of the status of response, was indicated by a high level of correlation (ρ = 0.62; p < 0.01) between the two cohorts. A baseline, response signature of increased innate cell types in responders compared to increased adaptive cell types in non-responders was identified in both cohorts. This result was further assessed by applying the cell type-specific analysis to five other publicly available RA datasets. Evaluation of the neutrophil-to-lymphocyte ratio at baseline in the remaining patients (n = 1962) from the CERTAIN database confirmed the observation (odds ratio of good/moderate response = 1.20 [95% CI = 1.03-1.41, p = 0.02]).
conclusionDifferences in innate/adaptive immune cell type composition at baseline may be a major contributor to response to anti-TNF treatment within the first 3 months of therapy.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.