Rensselaer Polytechnic Institute, Department of Electrical, Computer, and Systems Engineering, Troy, New York, United States of America.
Wake Forest School of Medicine, Bowman Gray Center for Medical Education, Winston-Salem, North Carolina, United States of America.
PLoS Pathog. 2021 Aug 17;17(8):e1009773. doi: 10.1371/journal.ppat.1009773. eCollection 2021 Aug.
More humans have died of tuberculosis (TB) than any other infectious disease and millions still die each year. Experts advocate for blood-based, serum protein biomarkers to help diagnose TB, which afflicts millions of people in high-burden countries. However, the protein biomarker pipeline is small. Here, we used the Diversity Outbred (DO) mouse population to address this gap, identifying five protein biomarker candidates. One protein biomarker, serum CXCL1, met the World Health Organization's Targeted Product Profile for a triage test to diagnose active TB from latent M.tb infection (LTBI), non-TB lung disease, and normal sera in HIV-negative, adults from South Africa and Vietnam. To find the biomarker candidates, we quantified seven immune cytokines and four inflammatory proteins corresponding to highly expressed genes unique to progressor DO mice. Next, we applied statistical and machine learning methods to the data, i.e., 11 proteins in lungs from 453 infected and 29 non-infected mice. After searching all combinations of five algorithms and 239 protein subsets, validating, and testing the findings on independent data, two combinations accurately diagnosed progressor DO mice: Logistic Regression using MMP8; and Gradient Tree Boosting using a panel of 4: CXCL1, CXCL2, TNF, IL-10. Of those five protein biomarker candidates, two (MMP8 and CXCL1) were crucial for classifying DO mice; were above the limit of detection in most human serum samples; and had not been widely assessed for diagnostic performance in humans before. In patient sera, CXCL1 exceeded the triage diagnostic test criteria (>90% sensitivity; >70% specificity), while MMP8 did not. Using Area Under the Curve analyses, CXCL1 averaged 94.5% sensitivity and 88.8% specificity for active pulmonary TB (ATB) vs LTBI; 90.9% sensitivity and 71.4% specificity for ATB vs non-TB; and 100.0% sensitivity and 98.4% specificity for ATB vs normal sera. Our findings overall show that the DO mouse population can discover diagnostic-quality, serum protein biomarkers of human TB.
已有更多人死于结核病(TB),超过死于其他任何传染病的人数,且每年仍有数以百万计的人因此死亡。专家提倡使用基于血液的血清蛋白生物标志物来帮助诊断结核病,因为它困扰着高负担国家的数百万人。然而,蛋白质生物标志物的研究很少。在这里,我们使用多样性远交(DO)小鼠群体来解决这一差距,确定了五个蛋白质生物标志物候选物。一种蛋白质生物标志物血清 CXCL1 符合世界卫生组织(WHO)对用于从潜伏性 MTB 感染(LTBI)、非 TB 肺部疾病和来自南非和越南的 HIV 阴性成年人中诊断活动性 TB 的分诊测试的目标产品特征。为了找到生物标志物候选物,我们定量了与进展性 DO 小鼠中独特的高表达基因相对应的七种免疫细胞因子和四种炎症蛋白。接下来,我们将统计和机器学习方法应用于来自 453 只感染和 29 只非感染小鼠的肺部的 11 种蛋白质的数据中。在搜索了五种算法和 239 个蛋白质子集的所有组合之后,我们对独立数据进行了验证和测试,发现两种组合可以准确地诊断进展性 DO 小鼠:使用 MMP8 的逻辑回归;使用 CXCL1、CXCL2、TNF、IL-10 的梯度树增强的组合。在这五个蛋白质生物标志物候选物中,有两个(MMP8 和 CXCL1)对于分类 DO 小鼠至关重要;在大多数人类血清样本中都超过了检测限;并且以前在人类中尚未广泛评估其诊断性能。在患者血清中,CXCL1 超过了分诊诊断测试标准(>90%的灵敏度;>70%的特异性),而 MMP8 没有。使用曲线下面积分析,CXCL1 对活动性肺结核(ATB)与 LTBI 的平均灵敏度为 94.5%,特异性为 88.8%;对 ATB 与非 TB 的平均灵敏度为 90.9%,特异性为 71.4%;对 ATB 与正常血清的平均灵敏度为 100.0%,特异性为 98.4%。总的来说,我们的研究结果表明,DO 小鼠群体可以发现具有诊断质量的人类结核病血清蛋白生物标志物。