Whole-blood culture-derived cytokine combinations for the diagnosis of tuberculosis

Anne Ahrens Østergaard, Søren Feddersen, M. Barnkob, R. B. Lynggaard, Amanda Cecilie Annie Karstoft, Maria Borup, Ingrid Louise Titlestad, T. T. Jensen, Ole Hilberg, Christian Wejse, Stephanie Bjerrum, Morten Blaabjerg, Kristian Assing, I. S. Johansen
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Abstract

The diagnosis of tuberculosis (TB) disease and TB infection (TBI) remains a challenge, and there is a need for non-invasive and blood-based methods to differentiate TB from conditions mimicking TB (CMTB), TBI, and healthy controls (HC). We aimed to determine whether combination of cytokines and established biomarkers could discriminate between 1) TB and CMTB 2) TB and TBI 3) TBI and HC. We used hemoglobin, total white blood cell count, neutrophils, monocytes, C-reactive protein, and ten Meso Scale Discovery analyzed cytokines (interleukin (IL)-1β, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12p70, IL-13, interferon (IFN)-ɣ, and tumor necrosis factor (TNF)-α) in TruCulture whole blood tubes stimulated by lipopolysaccharides (LPS), zymosan (ZYM), anti-CD3/28 (CD3), and unstimulated (Null) to develop three index tests able to differentiate TB from CMTB and TBI, and TBI from HC. In 52 persons with CMTB (n=9), TB (n=23), TBI (n=10), and HC (n=10), a combination of cytokines (LPS-IFN-ɣ, ZYM-IFN-ɣ, ZYM-TNF-α, ZYM-IL-1β, LPS-IL-4, and ZYM-IL-6) and neutrophil count could differentiate TB from CMTB with a sensitivity of 52.2% (95% CI: 30.9%–73.4%) and a specificity of 100 % (66.4%-100%). Null- IFN-ɣ, Null-IL-8, CD3-IL-6, CD3-IL-8, CD3-IL-13, and ZYM IL-1b discriminated TB from TBI with a sensitivity of 73.9% (56.5% - 91.3%) and a specificity of 100% (69.2-100). Cytokines and established biomarkers failed to differentiate TBI from HC with ≥ 98% specificity.Selected cytokines may serve as blood-based add-on tests to detect TB in a low-endemic setting, although these results need to be validated.
诊断结核病的全血培养细胞因子组合
肺结核(TB)疾病和肺结核感染(TBI)的诊断仍然是一项挑战,因此需要一种无创和基于血液的方法来区分肺结核与模拟肺结核(CMTB)、肺结核感染和健康对照(HC)。我们的目的是确定细胞因子和已建立的生物标志物的组合是否能区分 1) 结核病和 CMTB 2) 结核病和 TBI 3) TBI 和 HC。我们使用了血红蛋白、白细胞总数、中性粒细胞、单核细胞、C 反应蛋白和十种 Meso Scale Discovery 分析细胞因子(白细胞介素 (IL)-1β、IL-2、IL-4、IL-6、IL-8、IL-10、IL-12p70、IL-13、干扰素 (IFN)-ɣ、肿瘤坏死因子 (TNF)-ɣ)、和肿瘤坏死因子(TNF)-α)在TruCulture全血试管中受到脂多糖(LPS)、zymosan(ZYM)、抗CD3/28(CD3)和未受刺激(Null)的刺激,从而开发出能够区分肺结核与CMTB和TBI以及TBI与HC的三种指标检测方法。在 52 名 CMTB(n=9)、TB(n=23)、TBI(n=10)和 HC(n=10)患者中,细胞因子(LPS-IFN-ɣ、ZYM-IFN-ɣ、ZYM-TNF-α、ZYM-IL-1β、LPS-IL-4 和 ZYM-IL-6)和中性粒细胞计数的组合可以区分 TB 和 CMTB,灵敏度为 52.2%(95% CI:30.9%-73.4%),特异性为 100%(66.4%-100%)。Null-IFN-ɣ、Null-IL-8、CD3-IL-6、CD3-IL-8、CD3-IL-13 和 ZYM IL-1b 可区分肺结核和肺结核,灵敏度为 73.9%(56.5%-91.3%),特异性为 100%(69.2%-100%)。选定的细胞因子可作为在低流行病环境中检测结核病的血液附加检验,但这些结果还需要验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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