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Aberrant prostaglandin synthase 2 expression defines an antigen-presenting cell defect for insulin-dependent diabetes mellitus
S.A. Litherland, … , L.L. Moldawer, M.J. Clare-Salzler
S.A. Litherland, … , L.L. Moldawer, M.J. Clare-Salzler
Published August 15, 1999
Citation Information: J Clin Invest. 1999;104(4):515-523. https://doi.org/10.1172/JCI4852.
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Article

Aberrant prostaglandin synthase 2 expression defines an antigen-presenting cell defect for insulin-dependent diabetes mellitus

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Abstract

Prostaglandins (PGs) are lipid molecules that profoundly affect cellular processes including inflammation and immune response. Pathways contributing to PG output are highly regulated in antigen-presenting cells such as macrophages and monocytes, which produce large quantities of these molecules upon activation. In this report, we demonstrate aberrant constitutive expression of the normally inducible cyclooxygenase PG synthase 2 (PGS2/ COX-2) in nonactivated monocytes of humans with insulin-dependent diabetes mellitus (IDDM) and those with islet autoantibodies at increased risk of developing this disease. Constitutive PGS2 appears to characterize a high risk for diabetes as it correlates with and predicts a low first-phase insulin response in autoantibody-positive subjects. Abnormal PGS2 expression in at-risk subjects affected immune response in vitro, as the presence of a specific PGS2 inhibitor, NS398, significantly increased IL-2 receptor α-chain (CD25) expression on phytohemagglutinin-stimulated T cells. The effect of PGS2 on CD25 expression was most profound in subjects expressing both DR04 and DQβ0302 high-risk alleles, suggesting that this cyclooxygenase interacts with diabetes-associated MHC class II antigens to limit T-cell activation. These results indicate that constitutive PGS2 expression in monocytes defines an antigen-presenting cell defect affecting immune response, and that this expression is a novel cell-associated risk marker for IDDM.

Authors

S.A. Litherland, X.T. Xie, A.D. Hutson, C. Wasserfall, D.S. Whittaker, J.-X. She, A. Hofig, M.A. Dennis, K. Fuller, R. Cook, D. Schatz, L.L. Moldawer, M.J. Clare-Salzler

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Figure 4

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ROC curves derived from PGS2/CD14 expression and FPIR comparison. ROC an...
ROC curves derived from PGS2/CD14 expression and FPIR comparison. ROC analysis was used to examine the property of positive PGS2 expression (>9.9%) as a predictor of low FPIR. The analysis includes a correction for the variation in time between PGS2 and FPIR analyses. The resulting curve was generated with a c-statistic (area under the curve) of 0.9. An example of the ability of PGS2 expression to predict a low FPIR is given in the inset table, with a decision threshold set at 0.81 (*).

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