在学校接触中预测结核病的进展:用于早期风险评估的新型宿主生物标志物
Peng Lu1,2, Meijuan Tian3, Yilin Lian3
1Department of Chronic Communicable Disease, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Frontiers in cellular and infection microbiology
|September 17, 2025
概括
新的生物标志物准确地预测活跃结核病 (ATB) 的进展,优于传统测试. 这项研究确定了用于早期ATB风险评估的特定细胞因子及其比率,使得有针对性的干预措施成为可能,并提高诊断准确性.
科学领域:
- 免疫学 免疫学 免疫学
- 传染性疾病 传染性疾病
- 生物标志物发现发现
背景情况:
- 结核素皮肤测试和干扰素γ释放试验具有较低的积极预测值,导致不必要的治疗.
- 准确预测活跃结核病 (ATB) 的进展对于及时干预至关重要.
研究的目的:
- 识别抗原特异性生物标志物,以高精度预测ATB进展.
- 开发一个精确的工具来识别具有快速ATB疾病进展高风险的个体.
主要方法:
- 在两年内在学校结核病爆发队列中分析了来自QuantiFERON超的67种细胞因子.
- 使用了Luminex多重数组,LASSO和多变量逻辑回归来进行预测器选择.
- 开发了一个名图,并使用AUC,C指数和AIC评估模型性能.
主要成果:
- 基本的FGF,GM-CSF,MPIF-1/CCL23,以及它们的比率与ATB风险有显著的关联.
- 拉索回归模型实现了最高的预测性能 (AUC 0.939),具有卓越的灵敏度和特异性.
- 综合免疫指标在改善ATB的诊断准确性方面显示出显著的希望.
结论:
- 确定了用于预测ATB进展的新生物标志物.
- 拉索回归模型提供了一种更精确的工具,用于识别有ATB高风险的个人.
- 多种免疫指标的结合提高了ATB的诊断准确性.
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