Li Yuanchun, Yang Zhengrong, Ge Qiping, Zhang Yueqiu, Gao Mengqiu, Liu Xiaoqing, Zhang Lifan
Division of Infectious Diseases, Department of Internal Medicine, State Key Laboratory of Complex Severe and Rare Disease, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, People's Republic of China.
Department of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Beijing, People's Republic of China.
Infect Drug Resist. 2024 Aug 7;17:3385-3393. doi: 10.2147/IDR.S470963. eCollection 2024.
Current immunologic methods cannot distinguish (Mtb) infection statuses, especially to discriminate active tuberculosis (ATB) from latent tuberculosis infection (LTBI). This study explored the potential of latency-associated antigens (Rv1733cSLP and Rv2028c) and multifactorial cytokine detection to distinguish tuberculosis infection states.
ATB patients (20), LTBI healthcare workers (25), fever patients (11), and healthy controls (10) were enrolled. Cytokine levels (IFN-γ, TNF-α, IL-2, IL-6, IP-10, IL-1Ra, CXCL-1, and MCP-1) were measured using Luminex with/without MTB-specific virulence factor and latency-associated antigens stimulation.
Without antigen stimulation, IL-6, IP-10, MCP-1, and IL-1Ra were higher in the ATB group than in the LTBI group (p<0.05), but no significant differences between the ATB group and the fever group. Stimulated with the four antigens, respectively, the cytokines, including IP-10, IP-10, IFN-γ, IFN-γ, IL-6, IL-6, IL-6, IL-2, IL-2 , IL-1Ra, IL-1Ra, IL-1Ra, CXCL-1, CXCL-1, CXCL-1, CXCL-1, MCP-1 and MCP-1, demonstrated accurate discrimination between ATB and LTBI (<0.05). Additive concentrations demonstrated significant secretion differences of IFN-γ, IP-10 and IL-2, primarily by virulence factors in ATB and latency-associated antigens in LTBI. Latency-associated antigens synergized with virulence factors, enhancing TH1-type cytokine diagnostic efficacy for discriminating ATB from LTBI, the AUC for TNF-α increased from 0.696 to 0.820 (=0.038), IFN-γ increased from 0.806 to 0.962 (=0.025), and IL-2 increased from 0.565 to 0.868 (=0.007). Model selected by forward likelihood method indicated combined detection of IFN-γ, IFN-γ, IP-10, and CXCL-1 achieved ATB diagnosis (AUC=0.996) and ATB-LTBI differentiation (AUC=0.992). Combined detection of IFN-γ and IFN-γ achieved tuberculosis infection diagnosis (AUC=0.943).
Latency-associated antigens enhance multiple cytokine discriminatory ability, particularly TH1-type cytokines, for differentiating Mtb infection statuses.
目前的免疫学方法无法区分结核分枝杆菌(Mtb)感染状态,尤其是难以鉴别活动性结核病(ATB)与潜伏性结核感染(LTBI)。本研究探讨了潜伏相关抗原(Rv1733cSLP和Rv2028c)及多因素细胞因子检测在区分结核病感染状态方面的潜力。
纳入ATB患者(20例)、LTBI医护人员(25例)、发热患者(11例)和健康对照者(10例)。使用Luminex检测有/无Mtb特异性毒力因子和潜伏相关抗原刺激时的细胞因子水平(IFN-γ、TNF-α、IL-2、IL-6、IP-10、IL-1Ra、CXCL-1和MCP-1)。
无抗原刺激时,ATB组的IL-6、IP-10、MCP-1和IL-1Ra高于LTBI组(p<0.05),但ATB组与发热组之间无显著差异。分别用四种抗原刺激后,包括IP-10、IFN-γ、IL-6、IL-2、IL-1Ra、CXCL-1和MCP-1在内的细胞因子显示出对ATB和LTBI的准确区分(<0.05)。加和浓度显示出IFN-γ、IP-10和IL-2的显著分泌差异,主要由ATB中的毒力因子和LTBI中的潜伏相关抗原引起。潜伏相关抗原与毒力因子协同作用,增强了TH1型细胞因子对区分ATB与LTBI的诊断效能,TNF-α的曲线下面积(AUC)从0.696增加到0.820(=0.038),IFN-γ从0.806增加到0.962(=0.025),IL-2从0.565增加到0.868(=0.007)。向前似然法选择的模型表明,联合检测IFN-γ、IP-10和CXCL-1可实现ATB诊断(AUC=0.996)和ATB-LTBI鉴别(AUC=0.992)。联合检测IFN-γ可实现结核病感染诊断(AUC=0.943)。
潜伏相关抗原增强了多种细胞因子对区分Mtb感染状态的鉴别能力,尤其是TH1型细胞因子。