
doi: 10.1038/pr.2015.144
pmid: 26267155
Differentiation of systemic juvenile idiopathic arthritis (SJIA) fever from other childhood fevers is often delayed due to the lack of reliable, specific biomarkers. We hypothesized that PD-L1 expression is dysregulated in SJIA monocytes and compared it to other candidate SJIA biomarkers.This pilot study enrolled children with fever without source and compared PD-L1 expression on myeloid cells to C-reactive protein, erythrocyte sedimentation rate, leukocyte counts, S100A12, S100A8, S100A9, calprotectin, and procalcitonin. Logistic regression models were fit to test SJIA diagnosis with each marker used as an independent predictor. Receiver operating characteristic curves and area under curve were calculated. Gene expression profiling on a subset of samples was performed.Twenty subjects (10 active SJIA, 10 febrile non-SJIA) were enrolled. S100 proteins were significantly elevated in SJIA with >80% sensitivity and >90% specificity. PD-L1 expression was significantly lower in SJIA. Other markers were not specific for SJIA. On exploratory gene analysis, 106 genes were significant for SJIA association, and several of these are associated with immune response pathways.In this small cohort, S100 proteins were specific diagnostic biomarkers for SJIA in children with fever. Decreased PD-L1 surface expression on circulating myeloid cells in SJIA suggests possible mechanism for loss of peripheral immune regulation.
Male, Gene Expression Profiling, S100 Proteins, Infant, Pilot Projects, Prognosis, Arthritis, Juvenile, B7-H1 Antigen, Diagnosis, Differential, ROC Curve, Predictive Value of Tests, Area Under Curve, Child, Preschool, Humans, Female, Child, Biomarkers, Blood Chemical Analysis
Male, Gene Expression Profiling, S100 Proteins, Infant, Pilot Projects, Prognosis, Arthritis, Juvenile, B7-H1 Antigen, Diagnosis, Differential, ROC Curve, Predictive Value of Tests, Area Under Curve, Child, Preschool, Humans, Female, Child, Biomarkers, Blood Chemical Analysis
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