ArticlePloS one2015
Heterogeneity of synovial molecular patterns in patients with arthritis.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 3 registered trials, which are not on this map. Cited by 27 papers.
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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.
Prediction of the Response to Anti-TNFs DMARDs Based on the RheumaKit ® Platform (RK-Tx-01)
TNF and IL23 Blocking Agents Gene Expression Ratios in the Psoriatic Arthritis Synovium
Molecular Effects of Apremilast in the Synovium of Psoriatic Arthritis Patients (MEAS Study)
Who cites it
27 citing papers in PubMed, 39 citations in OpenAlex.
- Updates on the Evaluation of Lupus Arthritis.Rheumatology and therapy · 2026Review
- Integrative analysis of single-cell and bulk RNA sequencing data using machine learning identifies PTGDS as a key subsynovial fibroblast gene in osteoarthritis.Journal of molecular histology · 2026Article
- CD40LG as a Biomarker in Rheumatoid Arthritis: Links to Bone Destruction and Interstitial Lung Disease - A Bioinformatic Analysis With Clinical Validation.Health science reports · 2025Article
- Exploration of potential novel drug targets for rheumatoid arthritis by plasma proteome screening.PLoS computational biology · 2025Article
- Article
- Identify the potential target of efferocytosis in knee osteoarthritis synovial tissue: a bioinformatics and machine learning-based study.Frontiers in immunology · 2025Article
- Patterns and determinants of response to novel therapies in juvenile and adult-onset polyarthritis.Rheumatology (Oxford, England) · 2024Review
- Disease activity drives transcriptomic heterogeneity in early untreated rheumatoid synovitis.Annals of the rheumatic diseases · 2023Article
- Article
- Potential biomarkers that discriminate rheumatoid arthritis and osteoarthritis based on the analysis and validation of datasets.BMC musculoskeletal disorders · 2022Article
- Construction and analysis of a lncRNA-miRNA-mRNA competing endogenous RNA network from inflamed and normal synovial tissues after anterior cruciate ligament and/or meniscus injuries.Frontiers in genetics · 2022Article
- RNA expression profiling from the liquid fraction of synovial fluid in knee joint osteoarthritis patients.American journal of translational research · 2022Article
- Utility of Baseline Transcriptomic Analysis of Rheumatoid Arthritis Synovium as an Indicator for Long-Term Clinical Outcomes.Frontiers in medicine · 2022Article
- Identification of differential key biomarkers in the synovial tissue between rheumatoid arthritis and osteoarthritis using bioinformatics analysis.Clinical rheumatology · 2021Article
- The Crucial Questions on Synovial Biopsy: When, Why, Who, What, Where, and How?Frontiers in medicine · 2021Review
- Analysis of gene expression from systemic lupus erythematosus synovium reveals myeloid cell-driven pathogenesis of lupus arthritis.Scientific reports · 2020Article
- Drug screening and identification of key candidate genes and pathways of rheumatoid arthritis.Molecular medicine reports · 2020Article
- The Immune Cell Landscape in Different Anatomical Structures of Knee in Osteoarthritis: A Gene Expression-Based Study.BioMed research international · 2020Article
- An integrative transcriptome analysis framework for drug efficacy and similarity reveals drug-specific signatures of anti-TNF treatment in a mouse model of inflammatory polyarthritis.PLoS computational biology · 2019Article
- Overexpression of ubiquitin-specific peptidase 15 in systemic sclerosis fibroblasts increases response to transforming growth factor β.Rheumatology (Oxford, England) · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
16 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesEarly diagnosis of rheumatoid arthritis (RA) is an unmet medical need in the field of rheumatology. Previously, we performed high-density transcriptomic studies on synovial biopsies from patients with arthritis, and found that synovial gene expression profiles were significantly different according to the underlying disorder. Here, we wanted to further explore the consistency of the gene expression signals in synovial biopsies of patients with arthritis, using low-density platforms.
methodsLow-density assays (cDNA microarray and microfluidics qPCR) were designed, based on the results of the high-density microarray data. Knee synovial biopsies were obtained from patients with RA, spondyloarthropathies (SA) or osteoarthritis (OA) (n = 39), and also from patients with initial undifferentiated arthritis (UA) (n = 49).
resultsAccording to high-density microarray data, several molecular pathways are differentially expressed in patients with RA, SA and OA: T and B cell activation, chromatin remodelling, RAS GTPase activation and extracellular matrix regulation. Strikingly, disease activity (DAS28-CRP) has a significant influence on gene expression patterns in RA samples. Using the low-density assays, samples from patients with OA are easily discriminated from RA and SA samples. However, overlapping molecular patterns are found, in particular between RA and SA biopsies. Therefore, prediction of the clinical diagnosis based on gene expression data results in a diagnostic accuracy of 56.8%, which is increased up to 98.6% by the addition of specific clinical symptoms in the prediction algorithm. Similar observations are made in initial UA samples, in which overlapping molecular patterns also impact the accuracy of the diagnostic algorithm. When clinical symptoms are added, the diagnostic accuracy is strongly improved.
conclusionsGene expression signatures are overall different in patients with OA, RA and SA, but overlapping molecular signatures are found in patients with these conditions. Therefore, an accurate diagnosis in patients with UA requires a combination of gene expression and clinical data.
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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.