Song Yunlin, Abuduaini Buzukela, Yang Xinting, Zhang Jiyuan, Wang Guirong, Lu Xiaobo
Department of Intensive Care Unit, The First Affiliated Hospital of Xinjiang Medical University, Urumqi, 830054, China.
Department of Intensive Care Unit, State Key Laboratory of Pathogenesis, Prevention and Treatment of High Incidence Diseases in Central Asia, The First Affiliated Hospital of Xinjiang Medical University, 393 South Li Yu Shan Road, Urumqi, 830054, Xinjiang, China.
Inflamm Res. 2025 Apr 1;74(1):60. doi: 10.1007/s00011-025-02020-9.
This study aimed to identify the potential inflammatory molecular biomarkers that could be utilized for the early prediction of different subtypes of tuberculosis (TB) in adults.
Plasma samples were obtained from a cohort of adults diagnosed with 48 cases of active TB, including drug-susceptible TB (S-TB, n = 28), multidrug-resistant TB (R-TB, n = 20), latent TB infection (LTBI, n = 20), as well as a control group of healthy individuals without any infection (HC, n = 20). The expression level of 92 inflammatory-related proteins was detected by using the high-throughput Olink proteomics platform.
There were 47 inflammatory proteins showing a significant difference (p < 0.05) among TB, LTBI, and HC groups, and 7 of them differed significantly between HC and LTBI groups, 43 proteins differed considerably between LTBI and TB groups, and overall, CXCL10 and TGF-alpha proteins differed substantially among the three groups which could be used as potential diagnostic biomarkers. Furthermore, SCF demonstrates remarkable discriminatory power in distinguishing TB from LTBI, with an area under the curve (AUC) score of 0.920. SLAMF1 has emerged as the top predictor for distinguishing Sputum Culture-Negative from positive tuberculosis cases, with an AUC of 0.779. The Correlation analyses showed various relationships among co-differentiated proteins. In LTBI versus HC, TGF-alpha and CXCL10 had a strong positive correlation. In non-severe versus severe TB, CXCL10 and CXCL9, as well as TNF and CCL3, were strongly positively correlated, while IL-6 and SCF had a negative correlation. These co-differentiated proteins were found to be enriched in various biological processes and molecular functions related to immune regulation and signaling pathways, such as the p53 signaling pathway, the TNF signaling pathway, and the NF-kappa B signaling pathway, highlighting the complex interplay of these proteins in the immune response to TB infection.
Inflammation-related proteins exhibited distinct expression profiles in various conditions of TB. These proteins are intercorrelated and involve the pathogenesis of tuberculosis by activating diverse immune cells and promoting the secretion of pro-inflammatory cytokines. Their functions influence cellular phenotypes, which play a crucial regulatory role in the interaction between the host and Mycobacterium tuberculosis. These findings suggest that these proteins are potential disease prevention and treatment targets.
本研究旨在确定可用于成人不同亚型结核病(TB)早期预测的潜在炎症分子生物标志物。
从一组确诊为48例活动性结核病的成人中获取血浆样本,包括药敏结核病(S-TB,n = 28)、耐多药结核病(R-TB,n = 20)、潜伏性结核感染(LTBI,n = 20),以及一组无任何感染的健康个体对照组(HC,n = 20)。使用高通量Olink蛋白质组学平台检测92种炎症相关蛋白的表达水平。
在结核病、潜伏性结核感染和健康对照组之间,有47种炎症蛋白存在显著差异(p < 0.05),其中7种在健康对照组和潜伏性结核感染组之间差异显著,43种蛋白在潜伏性结核感染组和结核病组之间差异较大,总体而言,CXCL10和转化生长因子-α蛋白在三组之间差异显著,可用作潜在的诊断生物标志物。此外,干细胞因子(SCF)在区分结核病和潜伏性结核感染方面具有显著的鉴别能力,曲线下面积(AUC)评分为0.920。信号淋巴细胞激活分子家族成员1(SLAMF1)已成为区分痰培养阴性和阳性结核病病例的最佳预测指标,AUC为0.779。相关性分析显示了共同差异蛋白之间的各种关系。在潜伏性结核感染与健康对照组中,转化生长因子-α和CXCL10呈强正相关。在非重症与重症结核病中,CXCL10和CXCL9以及肿瘤坏死因子(TNF)和趋化因子配体3(CCL3)呈强正相关,而白细胞介素-6(IL-6)和干细胞因子呈负相关。发现这些共同差异蛋白在与免疫调节和信号通路相关的各种生物学过程和分子功能中富集,如p53信号通路、TNF信号通路和核因子κB信号通路,突出了这些蛋白在结核病感染免疫反应中的复杂相互作用。
炎症相关蛋白在结核病的不同状态下表现出不同的表达谱。这些蛋白相互关联,并通过激活多种免疫细胞和促进促炎细胞因子的分泌参与结核病的发病机制。它们的功能影响细胞表型,在宿主与结核分枝杆菌之间的相互作用中起关键的调节作用。这些发现表明这些蛋白是潜在的疾病预防和治疗靶点。