Department of Microbiology and Research and Diagnostic Center for Emerging Infectious Diseases, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
National Electronics and Computer Technology Center (NECTEC), National Science and Technology Development Agency (NSTDA), Rama VI Rd., Pathumthani, Thailand.
Tuberculosis (Edinb). 2020 Mar;121:101916. doi: 10.1016/j.tube.2020.101916. Epub 2020 Feb 18.
Current tools for screening LTBI are limited due to the long turnaround time required, cross-reactivity of tuberculin skin test to BCG vaccine and the high cost of interferon gamma release assay (IGRA) tests. We evaluated Raman spectroscopy (RS) for serum-protein fingerprinting from 26 active TB (ATB) cases, 20 LTBI cases, 34 early clearance (EC; TB-exposed persons with undetected infection) and 38 healthy controls (HC). RS at 532 nm using candidate peaks provided 92.31% sensitivity and 90.0% to distinguish ATB from LTBI, 84.62% sensitivity and 89.47% specificity to distinguish ATB from HC and 87.10% sensitivity and 85.0% specificity to distinguish LTBI from EC. RS at 532 nm with the random forest model provided 86.84% sensitivity and 65.0% specificity to distinguish LTBI from HC and 94.74% sensitivity and 87.10% specificity to distinguish EC from HC. Using preliminary sample sets (n = 5 for each TB-infection category), surface-enhanced Raman spectroscopy (SERS) showed high potential diagnostic performance, distinguishing very clearly among all TB-infection categories with 100% sensitivity and specificity. With lower cost, shorter turnaround time and performance comparable to that of IGRAs, our study demonstrated RS and SERS to have high potential for ATB and LTBI diagnosis.
目前用于筛查 LTBI 的工具由于需要较长的周转时间、结核菌素皮肤试验对卡介苗疫苗的交叉反应以及干扰素γ释放分析 (IGRA) 检测的高成本而受到限制。我们评估了拉曼光谱 (RS) 用于来自 26 例活动性结核病 (ATB) 病例、20 例 LTBI 病例、34 例早期清除 (EC；TB 暴露者未检测到感染) 和 38 例健康对照者 (HC) 的血清蛋白指纹图谱。使用候选峰的 532nm RS 提供了 92.31%的灵敏度和 90.0%的特异性来区分 ATB 与 LTBI，84.62%的灵敏度和 89.47%的特异性来区分 ATB 与 HC，87.10%的灵敏度和 85.0%的特异性来区分 LTBI 与 EC。使用随机森林模型的 532nm RS 提供了 86.84%的灵敏度和 65.0%的特异性来区分 LTBI 与 HC，94.74%的灵敏度和 87.10%的特异性来区分 EC 与 HC。使用初步样本集 (每个 TB 感染类别 n = 5)，表面增强拉曼光谱 (SERS) 显示出很高的诊断性能潜力，能够非常清晰地区分所有 TB 感染类别，具有 100%的敏感性和特异性。与 IGRAs 相比，RS 和 SERS 具有成本更低、周转时间更短且性能相当的优势，我们的研究表明 RS 和 SERS 具有用于 ATB 和 LTBI 诊断的巨大潜力。
