Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Department of Laboratory Medicine, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Int Immunopharmacol. 2024 Feb 15;128:111572. doi: 10.1016/j.intimp.2024.111572. Epub 2024 Jan 26.
The differential diagnosis between active tuberculosis (ATB) and latent tuberculosis infection (LTBI) is still a challenge worldwide.
Immune indicators involved in innate, humoral, and cellular immune cells, as well as antigen-specific cells were simultaneously assessed in patients with ATB and LTBI.
Of 54 immune indicators, no indicator could distinguish ATB from LTBI, likely due to an obvious heterogeneity of immune indicators noticed in ATB patients. Cluster analysis of ATB patients identified three immune clusters with different severity. Cluster 1 (42.1 %) was a ''Treg/Th1/Tfh unbalance type" cluster, whereas cluster 2 (42.1 %) was an "effector type'' cluster, and cluster 3 was a ''inhibition type'' cluster (15.8 %) which showed the highest severity. A prediction model based on immune indicators was established and showed potential in classifying Mycobacterium tuberculosis infection.
We depicted the immune landscape of patients with ATB and LTBI. Three immune subtypes were identified in ATB patients with different severity.
活动性结核病（ATB）与潜伏性结核感染（LTBI）的鉴别诊断在全球范围内仍然是一个挑战。
同时评估了 ATB 和 LTBI 患者中涉及固有免疫、体液免疫和细胞免疫细胞以及抗原特异性细胞的免疫指标。
在 54 个免疫指标中，没有指标可以区分 ATB 和 LTBI，这可能是由于 ATB 患者的免疫指标明显存在异质性。ATB 患者的聚类分析确定了三个具有不同严重程度的免疫簇。簇 1（42.1%）是“Treg/Th1/Tfh 失衡型”簇，簇 2（42.1%）是“效应器型”簇，簇 3 是“抑制型”簇（15.8%），其严重程度最高。基于免疫指标建立了预测模型，具有潜在的结核分枝杆菌感染分类能力。
我们描绘了 ATB 和 LTBI 患者的免疫图谱。在 ATB 患者中发现了三种具有不同严重程度的免疫亚型。
