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粒细胞-巨噬细胞集落刺激因子和肿瘤坏死因子-α联合是一种有用的诊断生物标志物,可用于区分家族性地中海热和脓毒症。

Granulocyte-macrophage colony-stimulating factor and tumor necrosis factor-α in combination is a useful diagnostic biomarker to distinguish familial Mediterranean fever from sepsis.

机构信息

Department of Immunology and Rheumatology, Division of Advanced Preventive Medical Sciences, Nagasaki University Graduate School of Biomedical Sciences, Nagasaki, Japan.

Center for Bioinformatics and Molecular Medicine, Nagasaki University Graduate School of Biomedical Sciences, 1-12-4 Sakamoto, Nagasaki, 852-8523, Japan.

出版信息

Arthritis Res Ther. 2021 Oct 15;23(1):260. doi: 10.1186/s13075-021-02644-2.

Abstract

OBJECTIVE

To identify potential biomarkers to distinguish familial Mediterranean fever (FMF) from sepsis.

METHOD

We recruited 28 patients diagnosed with typical FMF (according to the Tel Hashomer 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 FMF and sepsis groups in order to identify specific molecular networks. Multivariate classification (random forest analysis) and logistic regression analysis were used to rank the cytokines by importance and determine specific biomarkers for distinguishing FMF from sepsis.

RESULTS

Fifteen of the 40 cytokines were found to be suitable for further analysis. Levels of serum granulocyte-macrophage colony-stimulating factor (GM-CSF), fibroblast growth factor 2, vascular endothelial growth factor, macrophage inflammatory protein-1b, and interleukin-17 were significantly elevated, whereas tumor necrosis factor-α (TNF-α) was significantly lower in patients with FMF compared with those with sepsis. Cytokine clustering patterns differed between the two groups. Multivariate classification followed by logistic regression analysis revealed that measurement of both GM-CSF and TNF-α could distinguish FMF from sepsis with high accuracy (cut-off values for GM-CSF = 8.3 pg/mL; TNF-α = 16.3 pg/mL; sensitivity, 92.9%; specificity, 94.4%; accuracy, 93.4%).

CONCLUSION

Determination of GM-CSF and TNF-α levels in combination may represent a biomarker for the differential diagnosis of FMF from sepsis, based on measurement of multiple cytokines.

摘要

目的

鉴定潜在生物标志物以区分家族性地中海热(FMF)与脓毒症。

方法

我们招募了 28 例根据特哈肖默尔标准诊断的典型 FMF 患者、22 例脓毒症患者和 118 例年龄匹配的对照者。采用多悬浮细胞因子阵列分析 40 种细胞因子的血清水平。我们对 FMF 和脓毒症组中的每种细胞因子进行聚类分析,以鉴定特定的分子网络。采用多元分类(随机森林分析)和逻辑回归分析按重要性对细胞因子进行排序,并确定用于区分 FMF 与脓毒症的特异性生物标志物。

结果

40 种细胞因子中有 15 种适合进一步分析。FMF 患者血清粒细胞-巨噬细胞集落刺激因子(GM-CSF)、成纤维细胞生长因子 2、血管内皮生长因子、巨噬细胞炎症蛋白-1b 和白细胞介素-17 水平显著升高,而肿瘤坏死因子-α(TNF-α)水平显著低于脓毒症患者。两组间细胞因子聚类模式不同。多元分类后逻辑回归分析显示,同时测量 GM-CSF 和 TNF-α可准确区分 FMF 与脓毒症(GM-CSF 的截断值为 8.3pg/ml;TNF-α的截断值为 16.3pg/ml;敏感性为 92.9%;特异性为 94.4%;准确性为 93.4%)。

结论

基于对多种细胞因子的测定,GM-CSF 和 TNF-α水平的联合测定可能代表 FMF 与脓毒症鉴别诊断的生物标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9129/8518289/ef5e6b81a717/13075_2021_2644_Fig1_HTML.jpg

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