Pedersen Jessica L, Barry Simone E, Bokil Nilesh J, Ellis Magda, Yang YuRong, Guan Guangyu, Wang Xiaolin, Faiz Alen, Britton Warwick J, Saunders Bernadette M
School of Life Sciences, Faculty of Science University of Technology Sydney Sydney NSW Australia.
Centenary Institute The University of Sydney Sydney NSW Australia.
Clin Transl Immunology. 2021 Jun 22;10(6):e1298. doi: 10.1002/cti2.1298. eCollection 2021.
Non-sputum-based tests to accurately identify active tuberculosis (TB) disease and monitor response to therapy are urgently needed. This study examined the biomarker capacity of a panel of plasma proteins alone, and in conjunction with a previously identified miRNA signature, to identify active TB disease.
The expression of nine proteins (IP-10, MCP-1, sTNFR1, RANTES, VEGF, IL-6, IL-10, TNF and Eotaxin) was measured in the plasma of 100 control subjects and 100 TB patients, at diagnosis (treatment naïve) and over the course of treatment (1-, 2- and 6-month intervals). The diagnostic performance of the nine proteins alone, and with the miRNA, was assessed.
Six proteins were significantly up-regulated in the plasma of TB patients at diagnosis compared to controls. Receiver operator characteristic curve analysis demonstrated that IP-10 with an AUC = 0.874, sensitivity of 75% and specificity of 87% was the best single biomarker candidate to distinguish TB patients from controls. IP-10 and IL-6 levels fell significantly within one month of commencing treatment and may have potential as indicators of a positive response to therapy. The combined protein and miRNA panel gave an AUC of 1.00. A smaller panel of only five analytes (IP-10, miR-29a, miR-146a, miR-99b and miR-221) showed an AUC = 0.995, sensitivity of 96% and specificity of 97%.
A novel combination of miRNA and proteins significantly improves the sensitivity and specificity as a biosignature over single biomarker candidates and may be useful for the development of a non-sputum test to aid the diagnosis of active TB disease.
迫切需要基于非痰液的检测方法来准确识别活动性结核病(TB)并监测治疗反应。本研究考察了一组血浆蛋白单独以及与先前鉴定的miRNA特征联合用于识别活动性结核病的生物标志物能力。
在100名对照受试者和100名结核病患者的血浆中,于诊断时(未接受治疗)以及治疗过程中(间隔1、2和6个月)测量9种蛋白质(IP-10、MCP-1、sTNFR1、RANTES、VEGF、IL-6、IL-10、TNF和嗜酸性粒细胞趋化因子)的表达。评估了这9种蛋白质单独以及与miRNA联合的诊断性能。
与对照组相比,诊断时结核病患者血浆中有6种蛋白质显著上调。受试者工作特征曲线分析表明,AUC = 0.874、灵敏度为75%、特异性为87%的IP-10是区分结核病患者与对照组的最佳单一生物标志物候选物。IP-10和IL-6水平在开始治疗的一个月内显著下降,可能有作为治疗阳性反应指标的潜力。蛋白质和miRNA联合检测组的AUC为1.00。仅由5种分析物(IP-10、miR-29a、miR-146a、miR-99b和miR-221)组成的较小检测组显示AUC = 0.995、灵敏度为96%、特异性为97%。
miRNA和蛋白质的新型组合作为生物标志物特征,与单一生物标志物候选物相比,显著提高了灵敏度和特异性,可能有助于开发一种非痰液检测方法以辅助诊断活动性结核病。