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G-CSF 作为血流感染诊断的潜在早期生物标志物。

G-CSF as a potential early biomarker for diagnosis of bloodstream infection.

机构信息

Department of Infectious Disease, Jiaozhou People's Hospital, Jiaozhou, China.

Department of Infectious Disease, Jiaozhou Renmin Hospital, Jiaozhou, China.

出版信息

J Clin Lab Anal. 2021 Dec;35(12):e23592. doi: 10.1002/jcla.23592. Epub 2021 Nov 1.

Abstract

BACKGROUND

Cytokines play an important role in bacterial infection, and thus, we aim to find out cytokines that may be diagnostically significant in early stage of bacterial bloodstream infection.

METHODS

Mice models infected with Staphylococcus aureus and Klebsiella pneumoniae were established. Then dynamic changes of nine serum cytokines were monitored within 48 hours after the infection. Cytokines with significant differences between the infected groups and control group were further analyzed. Clinical samples of patients who were suspected of bloodstream infection were collected. Then the diagnostic efficiency of screened cytokines was determined with receiver operating characteristic curve analysis.

RESULTS

As for mice models infected by Staphylococcus aureus and Klebsiella pneumoniae, six cytokines including IL-1β, IL-6, IL-12p70, G-CSF, IFN-γ, and TNF-α were significantly different (P < .05) between two bacterial infected groups. As for clinical samples, three cytokines including IL-6, IL-12p70, and G-CSF showed significant differences between infection group (Staphylococcus aureus and Klebsiella pneumonia group) and negative control group. With the area under curve of 0.7350 and 0.6431 for G-CSF and IL-6, respectively, these two cytokines were significantly different between Staphylococcus aureus and Klebsiella pneumoniae infection groups. Combination of G-CSF and IL-6 could improve the AUC to 0.8136.

CONCLUSIONS

G-CSF cannot only identify bacterial bloodstream infection, but can also distinguish the infection of Staphylococcus aureus from Klebsiella pneumoniae. Further investigation should be performed concerning the diagnostic efficiency of G-CSF in diagnosing different types of bacterial bloodstream infection.

摘要

背景

细胞因子在细菌感染中起着重要作用,因此,我们旨在寻找在细菌血流感染的早期阶段可能具有诊断意义的细胞因子。

方法

建立了金黄色葡萄球菌和肺炎克雷伯菌感染的小鼠模型。然后,在感染后 48 小时内监测了 9 种血清细胞因子的动态变化。对感染组与对照组之间存在显著差异的细胞因子进行了进一步分析。收集疑似血流感染的患者临床样本。然后通过接受者操作特征曲线分析确定筛选出的细胞因子的诊断效率。

结果

对于金黄色葡萄球菌和肺炎克雷伯菌感染的小鼠模型,白细胞介素 1β(IL-1β)、白细胞介素 6(IL-6)、白细胞介素 12p70(IL-12p70)、粒细胞集落刺激因子(G-CSF)、干扰素 γ(IFN-γ)和肿瘤坏死因子 α(TNF-α)等 6 种细胞因子在两种细菌感染组之间存在显著差异(P<0.05)。对于临床样本,白细胞介素 6(IL-6)、白细胞介素 12p70(IL-12p70)和 G-CSF 等 3 种细胞因子在感染组(金黄色葡萄球菌和肺炎克雷伯菌组)和阴性对照组之间存在显著差异。G-CSF 和 IL-6 的曲线下面积分别为 0.7350 和 0.6431,G-CSF 和 IL-6 在金黄色葡萄球菌和肺炎克雷伯菌感染组之间存在显著差异。G-CSF 和 IL-6 的组合可将 AUC 提高至 0.8136。

结论

G-CSF 不仅可以识别细菌血流感染,还可以区分金黄色葡萄球菌和肺炎克雷伯菌的感染。应进一步研究 G-CSF 在诊断不同类型细菌血流感染中的诊断效率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6a4e/8649329/d31328bd11cb/JCLA-35-e23592-g002.jpg

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