SynthesisArthritis research & therapy2014
Shared signatures between rheumatoid arthritis, systemic lupus erythematosus and Sjögren's syndrome uncovered through gene expression meta-analysis.
Synthesis in Arthritis research & therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 12 of them syntheses that pooled it.
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.
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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
42 citing papers in PubMed, 12 syntheses or guidelines pooled it, 73 citations in OpenAlex.
- Meta-analysis of endometrial transcriptome data reveals novel molecular targets for recurrent implantation failure.Journal of assisted reproduction and genetics · 2024Pooled it
- Association of the rs1990760, rs3747517, and rs10930046 polymorphisms in theFrontiers in immunology · 2023Pooled it
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- Association between miRNA-499 gene polymorphism and autoimmune diseases: A meta-analysis.PloS one · 2022Pooled it
- Comprehensive Integration of Genome-Wide Association and Gene Expression Studies Reveals Novel Gene Signatures and Potential Therapeutic Targets forFrontiers in immunology · 2021Pooled it
- Network-based gene deletion analysis identifies candidate genes and molecular mechanism involved in clear cell renal cell carcinoma.Journal of genetics · 2021Pooled it
- Distinct gene expression characteristics in epithelial cell-International journal of medical sciences · 2019Pooled it
- Pooled it
- Pooled it
- Biosemantics guided gene expression profiling of Sjögren's syndrome: a comparative analysis with systemic lupus erythematosus and rheumatoid arthritis.Arthritis research & therapy · 2017Pooled it
- Comprehensive Gene expression meta-analysis and integrated bioinformatic approaches reveal shared signatures between thrombosis and myeloproliferative disorders.Scientific reports · 2016Pooled it
- Role of innate immunity-triggered pathways in the pathogenesis of Sickle Cell Disease: a meta-analysis of gene expression studies.Scientific reports · 2015Pooled it
- Machine learning-driven discovery of STAT1 and TRIM22 as immune biomarkers for lupus nephritis: translational insights into diagnosis and pathogenesis.Scientific reports · 2026Article
- Identifying a Common Autoimmune Gene Core as a Tool for Verifying Biological Significance and Applicability of Polygenic Risk Scores.International journal of molecular sciences · 2026Article
- SPHK1 drives pyroptosis via ROS-dependent activation of the NLRP3 inflammasome in non-infectious uveitis.Frontiers in immunology · 2026Article
- Single-cell Unperturbed Activation Profiling by mass cytometry capturesFrontiers in immunology · 2026Article
- Article
- An interpretable machine learning pipeline based on transcriptomics predicts phenotypes of lupus patients.iScience · 2023Article
- Exploring the shared molecular mechanisms between systemic lupus erythematosus and primary Sjögren's syndrome based on integrated bioinformatics and single-cell RNA-seq analysis.Frontiers in immunology · 2023Article
- Rheumatoid arthritis, systemic lupus erythematosus and primary Sjögren's syndrome shared megakaryocyte expansion in peripheral blood.Annals of the rheumatic diseases · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionSystemic lupus erythematosus (SLE), rheumatoid arthritis (RA) and Sjögren's syndrome (SjS) are inflammatory systemic autoimmune diseases (SADs) that share several clinical and pathological features. The shared biological mechanisms are not yet fully characterized. The objective of this study was to perform a meta-analysis using publicly available gene expression data about the three diseases to identify shared gene expression signatures and overlapping biological processes.
methodsPreviously reported gene expression datasets were selected and downloaded from the Gene Expression Omnibus database. Normalization and initial preprocessing were performed using the statistical programming language R and random effects model-based meta-analysis was carried out using INMEX software. Functional analysis of over- and underexpressed genes was done using the GeneCodis tool.
resultsThe gene expression meta-analysis revealed a SAD signature composed of 371 differentially expressed genes in patients and healthy controls, 187 of which were underexpressed and 184 overexpressed. Many of these genes have previously been reported as significant biomarkers for individual diseases, but others provide new clues to the shared pathological state. Functional analysis showed that overexpressed genes were involved mainly in immune and inflammatory responses, mitotic cell cycles, cytokine-mediated signaling pathways, apoptotic processes, type I interferon-mediated signaling pathways and responses to viruses. Underexpressed genes were involved primarily in inhibition of protein synthesis.
conclusionsWe define a common gene expression signature for SLE, RA and SjS. The analysis of this signature revealed relevant biological processes that may play important roles in the shared development of these pathologies.
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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.