Su Wen-Lin, Perng Wann-Cherng, Huang Ching-Hui, Yang Cheng-Yu, Wu Chin-Pyng, Chang Feng-Yee, Chen Jenn-Han
Graduate Institute of Medical Sciences, National Defense Medical Center, No. 161, Sec. 6, Mincyuan E. Rd., Neihu District, Taipei City 114, Taiwan, Republic of China.
Clin Vaccine Immunol. 2010 May;17(5):771-7. doi: 10.1128/CVI.00526-09. Epub 2010 Mar 17.
Differentiating tuberculosis (TB) from pneumonia remains a challenge. We evaluated the cytokine profiles of whole blood cells from patients with TB (n = 38) or pneumonia (n = 30) and from healthy individuals (n = 30) before and after stimulating cells with ESAT-6 or lipopolysaccharide (LPS). When the percent change in the levels of gamma interferon (IFN-gamma) after stimulation with ESAT-6 was used in receiver operating characteristics (ROC) analysis (a graphic method to determine the diagnostic accuracy of a test) to identify a patient with TB, the area under the curve (AUC) was 90.4%, and a cutoff point of a 3.59% change produced a corresponding sensitivity, specificity, and accuracy of over 80%. When the change in IFN-gamma after stimulation of blood cells with LPS was used to identify a patient with pneumonia, the AUC reached 89.1%, and a cutoff point of 3.59% produced a sensitivity, specificity, and accuracy of approximately 80% each. When the change in interleukin-12 (IL-12) after stimulation of blood cells with LPS was selected to define a patient with pneumonia, the AUC was 85.2%, and a cutoff point of 2.08% gave a sensitivity, specificity, and accuracy of 80.0%, 78.9%, and 79.4%, respectively. We conclude that the percent change in IFN-gamma after stimulation of whole blood cells with ESAT-6 may differentiate patients with TB from patients with pneumonia. The percent change in IFN-gamma and IL-12 after LPS stimulation of whole blood cells could differentiate patients with pneumonia from patients with TB.
区分肺结核(TB)和肺炎仍然是一项挑战。我们评估了结核病患者(n = 38)、肺炎患者(n = 30)以及健康个体(n = 30)的全血细胞在用ESAT-6或脂多糖(LPS)刺激前后的细胞因子谱。当用ESAT-6刺激后γ干扰素(IFN-γ)水平的变化百分比用于受试者工作特征(ROC)分析(一种确定检测诊断准确性的图形方法)以识别结核病患者时,曲线下面积(AUC)为90.4%,3.59%的变化截断点产生了超过80%的相应敏感性、特异性和准确性。当用LPS刺激血细胞后IFN-γ的变化用于识别肺炎患者时,AUC达到89.1%,3.59%的截断点产生的敏感性、特异性和准确性均约为80%。当选择用LPS刺激血细胞后白细胞介素-12(IL-12)的变化来定义肺炎患者时,AUC为85.2%,2.08%的截断点产生的敏感性、特异性和准确性分别为80.0%、78.9%和79.4%。我们得出结论,用ESAT-6刺激全血细胞后IFN-γ的变化百分比可能有助于区分结核病患者和肺炎患者。用LPS刺激全血细胞后IFN-γ和IL-12的变化百分比可以区分肺炎患者和结核病患者。