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首页> 外文期刊>Arthritis research & therapy. >Interleukin-18 and fibroblast growth factor 2 in combination is a useful diagnostic biomarker to distinguish adult-onset Still’s disease from sepsis
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Interleukin-18 and fibroblast growth factor 2 in combination is a useful diagnostic biomarker to distinguish adult-onset Still’s disease from sepsis

机译:白细胞介素-18和成纤维细胞生长因子2组合是一种有用的诊断生物标志物,以区分成人发作仍然来自败血症的疾病

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To identify potential biomarkers to distinguish adult-onset Still’s disease (AOSD) from sepsis. We recruited 70 patients diagnosed with AOSD according to the Yamaguchi criteria, 22 patients with sepsis, and 118 age-matched controls. Serum levels of 40 cytokines were analyzed using multi-suspension cytokine array. We performed a cluster analysis of each cytokine in the AOSD and sepsis groups in order to identify specific molecular networks. Further, multivariate classification (random forest analysis) and logistic regression analysis were used to rank the cytokines by their importance and determine specific biomarkers for distinguishing AOSD from sepsis. Seventeen of the 40 cytokines were found to be suitable for further analyses. The serum levels of eleven were significantly higher in patients with AOSD than healthy controls. Levels of serum fibroblast growth factor 2 (FGF-2), vascular endothelial growth factor (VEGF), granulocyte colony-stimulating factor (G-CSF), and interleukin (IL)-18 were significantly elevated in patients with AOSD compared with those with sepsis, and cytokine clustering patterns differed between these two groups. Multivariate classification followed by logistic regression analysis revealed that measurement of both FGF-2 and IL-18 could distinguish AOSD from sepsis with high accuracy (cutoff value for FGF-2?=?36?pg/mL; IL-18?=?543?pg/mL, sensitivity 100%, specificity 72.2%, accuracy 93.8%). Determination of FGF-2 and IL-18 levels in combination may represent a biomarker for the differential diagnosis of AOSD from sepsis, based on the measurement of multiple cytokines.
机译:识别潜在的生物标志物,以区分成人发病仍然来自败血症的疾病(AOSD)。根据山口标准,22例败血症患者,我们招募了70名诊断为AOSD的患者和118例匹配对照。使用多悬浮细胞因子阵列分析40个细胞因子的血清水平。我们在AOSD和SEPSIS组中对每种细胞因子进行了聚类分析,以识别特定的分子网络。此外,多变量分类(随机森林分析)和逻辑回归分析用于通过重要性对细胞因子进行排序,并确定特定的生物标志物,以区分AOSD来自败血症。发现40个细胞因子的十七个适合进一步分析。 AOSD患者比健康对照患者血清9水平显着高。与AOSD相比,血清成纤维细胞生长因子2(FGF-2),血管内皮生长因子(G-CSF),粒细胞菌落刺激因子(G-CSF)和白细胞介素(IL)-18显着升高败血症和细胞因子聚类模式在这两组之间不同。多变量分类,然后是逻辑回归分析显示,FGF-2和IL-18的测量可以以高精度(FGF-2的截止值截止值(FGF-2的截止值)区分AOSD。= 36?PG / ml; IL-18?543 ?Pg / ml,灵敏度100%,特异性72.2%,精度为93.8%)。组合的FGF-2和IL-18水平的测定可以代表基于多种细胞因子的测量的败血症中AOSD差异诊断的生物标志物。

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