ArticlePloS one2015
A Transcriptional Signature of Fatigue Derived from Patients with Primary Sjögren's Syndrome.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 177 citations in OpenAlex.
- Elevated proportion of BST2 + CD4 + T cells: a potential biomarker for diagnosis and disease activity in Sjögren's disease.Clinical rheumatology · 2026Article
- Mitochondria-Related Genome-Wide Mendelian Randomization Identifies Putatively Genes for Chronic Fatigue.Molecular neurobiology · 2026Article
- The SjD Map: an interactive pathway tour into Sjögren's disease signalling mechanisms.NPJ systems biology and applications · 2026Article
- Integrative Bioinformatics and Machine Learning Identify Novel Diagnostic Biomarkers and Molecular Mechanisms in Sjögren's Syndrome.International journal of genomics · 2026Article
- Seronegative Sicca Syndrome: Diagnostic Considerations and Management Strategies.Life (Basel, Switzerland) · 2025Review
- Mitochondrial dysfunction and fatigue in Sjögren's disease.RMD open · 2025Article
- Emerging treatment for Sjögren's disease: a review of recent phase II and III trials.Expert opinion on emerging drugs · 2023Review
- Identification of new candidate drugs for primary Sjögren's syndrome using a drug repurposing transcriptomic approach.Rheumatology (Oxford, England) · 2023Article
- Variability of Primary Sjögren's Syndrome Is Driven by Interferon-α and Interferon-α Blood Levels Are Associated With the Class II HLA-DQ Locus.Arthritis & rheumatology (Hoboken, N.J.) · 2022Article
- Symptom-Based Cluster Analysis Categorizes Sjögren's Disease Subtypes: An International Cohort Study Highlighting Disease Severity and Treatment Discordance.Arthritis & rheumatology (Hoboken, N.J.) · 2022Article
- Insights Gained and Future Outlook From scRNAseq Studies in Autoimmune Rheumatic Diseases.Frontiers in immunology · 2022Review
- IRF9 and XAF1 as Diagnostic Markers of Primary Sjogren Syndrome.Computational and mathematical methods in medicine · 2022Article
- Genetic Variants of theFrontiers in immunology · 2022Article
- New developments in Sjogren's syndrome.Rheumatology (Oxford, England) · 2021Review
- Fatigue in inflammatory rheumatic diseases: current knowledge and areas for future research.Nature reviews. Rheumatology · 2021Review
- Burr hole craniostomy versus minicraniotomy in chronic subdural hematoma: a comparative cohort study.Acta neurochirurgica · 2021Article
- Current and future therapies for primary Sjögren syndrome.Nature reviews. Rheumatology · 2021Review
- An overview of moonlighting proteins in Staphylococcus aureus infection.Archives of microbiology · 2021Review
- Associations of cigarette smoking with disease phenotype and type I interferon expression in primary Sjögren's syndrome.Rheumatology international · 2019Article
- Fatigue in Sjögren's Syndrome: A Search for Biomarkers and Treatment Targets.Frontiers in immunology · 2019Article
Corrections and comments
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Authors and funding
40 authors at 20 institutions in 2 countries.
Funding
Abstract
backgroundFatigue is a debilitating condition with a significant impact on patients' quality of life. Fatigue is frequently reported by patients suffering from primary Sjögren's Syndrome (pSS), a chronic autoimmune condition characterised by dryness of the eyes and the mouth. However, although fatigue is common in pSS, it does not manifest in all sufferers, providing an excellent model with which to explore the potential underpinning biological mechanisms.
methodsWhole blood samples from 133 fully-phenotyped pSS patients stratified for the presence of fatigue, collected by the UK primary Sjögren's Syndrome Registry, were used for whole genome microarray. The resulting data were analysed both on a gene by gene basis and using pre-defined groups of genes. Finally, gene set enrichment analysis (GSEA) was used as a feature selection technique for input into a support vector machine (SVM) classifier. Classification was assessed using area under curve (AUC) of receiver operator characteristic and standard error of Wilcoxon statistic, SE(W).
resultsAlthough no genes were individually found to be associated with fatigue, 19 metabolic pathways were enriched in the high fatigue patient group using GSEA. Analysis revealed that these enrichments arose from the presence of a subset of 55 genes. A radial kernel SVM classifier with this subset of genes as input displayed significantly improved performance over classifiers using all pathway genes as input. The classifiers had AUCs of 0.866 (SE(W) 0.002) and 0.525 (SE(W) 0.006), respectively.
conclusionsSystematic analysis of gene expression data from pSS patients discordant for fatigue identified 55 genes which are predictive of fatigue level using SVM classification. This list represents the first step in understanding the underlying pathophysiological mechanisms of fatigue in patients with pSS.
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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.