Nogueira Betânia M F, Rangel Francys, Andrade Alice M S, Daniel Evangeline Ann, Figueiredo Marina C, Staats Cody, Rolla Valeria C, Kritski Afrânio L, Cordeiro-Santos Marcelo, Gupta Amita, Hanna Luke Elizabeth, Sterling Timothy R, Araújo-Pereira Mariana, Andrade Bruno B
Programa de Pós-graduação em Ciências da Saúde, Universidade Federal da Bahia, Salvador, Brazil.
Departamento de Infectologia, Instituto Couto Maia, Salvador, Brazil.
J Infect Dis. 2025 Jan 7. doi: 10.1093/infdis/jiae642.
There are insufficient predictors of progression to tuberculosis among contacts. A case-control study within RePORT-Brazil matched 20 QuantiFERON-positive progressors and 40 non-progressors by sex, age, and exposure duration. Twenty-nine cytokines were measured by Luminex in QuantiFERON-TB Gold Plus supernatants collected at baseline and evaluated using machine learning for tuberculosis prediction. The same markers were evaluated in 8 QuantiFERON positive progressors and 12 non-progressors from India. IL-8, IL-10, and CCL3 levels predicted incident tuberculosis (AUC: 0.75) in two years with sensitivity and specificity higher than 80%, in both cohorts. This signature predicted tuberculosis progression in close contacts meeting WHO goals.
在接触者中，预测结核病进展的指标不足。巴西RePORT内的一项病例对照研究，按照性别、年龄和接触时长，对20名结核感染QuantiFERON检测呈阳性的进展者和40名未进展者进行了匹配。通过Luminex检测了在基线时收集的QuantiFERON-TB Gold Plus上清液中的29种细胞因子，并使用机器学习评估其对结核病的预测能力。在来自印度的8名结核感染QuantiFERON检测呈阳性的进展者和12名未进展者中对相同标志物进行了评估。在两个队列中，白细胞介素-8（IL-8）、白细胞介素-10（IL-10）和趋化因子配体3（CCL3）水平均能预测两年内发生的结核病（曲线下面积：0.75），其敏感性和特异性均高于80%。这一特征能够预测符合世界卫生组织目标的密切接触者的结核病进展情况。
