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- W2711122168 abstract "Background Cytokine dysregulation contributes to immune dysfunction, inflammation and organ damage in Systemic Lupus Erythematosus (SLE). Cytokines have multifarious interactions on other cytokines and immune cells. Thus cytokines studies should reflect this intrinsic complexity. Aim Utilise Principle Component Analysis (PCA) to unravel the interplay of a selection of cytokines for SLE versus healthy controls. Methods A cross-sectional study of 102 SLE patients and 30 controls. Sera samples of IFN-γ, IL-1β, IL-4, IL-6, IL-10, IL-12, IL17, BAFF and MCP-1, were analysed by ELISA and compared non-parametrically between groups. SLE disease activity was assessed by SLEDAI-2K. PCA demonstrated the cytokine profiles of healthy controls, SLE patients with low (SLEDAI-2K Results BAFF correlated with disease activity (Rs. 0.483, p IL-1β was inversely correlated with disease activity (Rs. −0.216, p=0.013) and lowest in SLEDAI-2K≥3 (p=0.001). IL-1β was a moderate driver of cytokine variance for healthy controls, but became more dominant across SLEDAI-2K Conclusions Increased BAFF levels were not a direct agitator of cytokine variation in SLE, suggesting a contribution to disease activity through other pathways. In contrast, the reduction of IL-1β had a dominant effect on cytokine variance in SLE (PC 1). Principal component analysis is a useful asset for cytokine profiling in SLE." @default.
- W2711122168 created "2017-06-30" @default.
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- W2711122168 date "2017-03-01" @default.
- W2711122168 modified "2023-09-24" @default.
- W2711122168 title "418 Principal component analysis as a method to unravel the relation between disease activity and cytokine profiling in systemic lupus erythematosus" @default.
- W2711122168 doi "https://doi.org/10.1136/lupus-2017-000215.418" @default.
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