Abstract
Psoriatic arthritis (PsA) is a systemic inflammatory condition featuring polyarthritis associated with psoriasis. Apart from clinical indicators, few biomarkers exist to aid in the diagnosis and management of PsA. We hypothesized that whole blood gene expression profiling would provide new diagnostic markers and/or insights into pathogenesis of the disease. We compared whole blood gene expression profiles in PsA patients and in age-matched controls. We identified 310 differentially expressed genes, the majority of which are upregulated in PsA patients. The PsA expression profile does not significantly overlap with profiles derived from patients with rheumatoid arthritis or systemic lupus erythematosus. Logistic regression identified two lymphocyte-specific genes (zinc-finger protein 395 and phosphoinositide-3-kinase 2B) that discriminate PsA patients from normal controls. In addition, a highly coregulated cluster of overexpressed genes implicated in protein kinase A regulation strongly correlates with erythrocyte sedimentation rate. Other clusters of coregulated, yet suppressed genes in PsA patient blood include molecules involved in T-cell signaling. Finally, differentially expressed genes in PsA fall into diverse functional categories, but many downregulated genes belong to a CD40 signaling pathway. Together, the data suggest that gene expression profiles of PsA patient blood contain candidate novel disease markers and clues to pathogenesis.
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Acknowledgements
The authors thank Dr Kathy Moser and Jason Bauer for helpful discussion, Catherine Slattery for technical assistance with sample preparation, and the patients who participated in the study. Funding was provided by the Minnesota Partnership for Biotechnology and Medical Genomics, and the National Institutes of Health.
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Stoeckman, A., Baechler, E., Ortmann, W. et al. A distinct inflammatory gene expression profile in patients with psoriatic arthritis. Genes Immun 7, 583–591 (2006). https://doi.org/10.1038/sj.gene.6364334
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DOI: https://doi.org/10.1038/sj.gene.6364334
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