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Increased Myeloid Dendritic Cells and TNF-α Expression Predicts Poor Response to Hydroxychloroquine in Cutaneous
Majid Zeidi1, Hee Joo Kim2, Victoria P Werth1
1Corporal Michael J. Crescenz Veterans Affairs Medical Center, Philadelphia, Pennsylvania, USA; Department of Dermatology at the Perelman School of Medicine at the University of Pennsylvania, Philadelphia, Pennsylvania, USA.
Abstract:
Although antimalarials are the primary treatment for cutaneous lupus erythematosus, not all patients are equally responsive. We investigated whether different inflammatory cell population and cytokine profiles in lesional cutaneous lupus erythematosus skin could affect antimalarial responsiveness, and whether hydroxychloroquine (HCQ) and quinacrine (QC) differentially suppress inflammatory cytokines. Cutaneous lupus erythematosus patients were grouped according to their response to antimalarials (HCQ vs. HCQ+QC). On immunohistochemistry, only the myeloid dendritic cell population was significantly increased in the HCQ+QC group compared to HCQ group. While the IFN scores calculated for the selected type I IFN-regulated genes (LYE6, OAS1, OASL, ISG15, and MX1) were significantly higher in the HCQ group than the HCQ+QC group, the TNF-α level was higher in the HCQ+QC group. QC was more effective than HCQ at inhibiting the toll receptor-mediated production of TNF-α and IL-6 in the peripheral blood mononuclear cells isolated from cutaneous lupus erythematosus patients, whereas QC and HCQ inhibited IFN-α equally. QC also suppressed phospho-NF-κB p65 more profoundly than HCQ. In conclusion, increased myeloid dendritic cell population with higher TNF-α expression might contribute to HCQ refractoriness and a better response to QC. Differential suppressive effects of HCQ and QC could also affect antimalarial responses in cutaneous lupus erythematosus patients.
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However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y.

