Association of T-Cell Profiles With Disease Severity, Drug-Induced Liver Injury, and Treatment Completion in Tuberculosis

IF 2.3 4区 医学 Q3 RESPIRATORY SYSTEM
Yifan He, Xubin Zheng, Zihan Dang, Xiaohui Hao, Yidian Liu, Peng Wang, Yingying Chen, Ying Wang, Wei Sha
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引用次数: 0

Abstract

Background

Tuberculosis (TB) treatment is challenged by a long duration, poor adherence, and the high risk of drug-induced liver injury (DILI). T-cell immunity is essential for anti-mycobacterial defense, but current immune-monitoring methods poorly reflect disease severity and treatment response. Correlations of immune subpopulations with TB severity, DILI, and treatment prognosis remain poorly understood.

Methods

Peripheral blood mononuclear cells were collected from confirmed TB patients (n = 40). Multiparameter flow cytometry analysis was used to assess previously defined TB-associated T-cell phenotypes based on the co-expression of cytokines and immune checkpoint molecules following stimulation with two Mycobacterium tuberculosis peptides: culture filtrate protein 10 and early secreted antigenic target 6. Patients were subgrouped by disease severity, DILI, and treatment regimen (16-week short course vs. 24-week standard).

Results

Specific subsets (14/124) were found to be associated with disease severity. Notably, six of 14 subsets were positive for programmed death-ligand 1 (PD-L1), indicating its potential role in disease progression. DILI was associated with three interleukin (IL)-21+ subsets (naïve CD4+, memory CD8+, and interferon [IFN]-γ CD4+ T cells) and IL-17+ memory CD8+ T cells, along with PD-L1+TIM-3+CD4+ T cells (all p < 0.05). The 16-week and 24-week treatment groups showed a significant difference in IFN-γ+ naïve CD8+ T cells at week 16 (p = 0.013), but not at treatment completion (p = 0.393), despite the different durations.

Conclusions

This study identifies specific T-cell phenotypes associated with TB severity, DILI, and treatment dynamics, highlighting potential immune markers for disease monitoring and DILI prediction.

Abstract Image

结核患者t细胞谱与疾病严重程度、药物性肝损伤和治疗完成程度的关系
结核病(TB)治疗面临持续时间长、依从性差和药物性肝损伤(DILI)风险高的挑战。t细胞免疫对于抗分枝杆菌防御至关重要,但目前的免疫监测方法不能反映疾病的严重程度和治疗反应。免疫亚群与结核病严重程度、DILI和治疗预后的相关性仍然知之甚少。方法采集确诊结核患者外周血单个核细胞40例。多参数流式细胞术分析用于评估先前定义的结核病相关t细胞表型,基于细胞因子和免疫检查点分子在两种结核分枝杆菌肽(培养滤液蛋白10和早期分泌抗原靶点6)刺激后的共同表达。患者按疾病严重程度、DILI和治疗方案(16周短疗程vs 24周标准疗程)进行亚组。结果发现特异性亚群(14/124)与疾病严重程度相关。值得注意的是,14个亚群中有6个程序性死亡配体1 (PD-L1)阳性,表明其在疾病进展中的潜在作用。DILI与三个白细胞介素(IL)-21+亚群(naïve CD4+,记忆CD8+和干扰素[IFN]-γ - CD4+ T细胞)和IL-17+记忆CD8+ T细胞以及PD-L1+TIM-3+CD4+ T细胞相关(均p <; 0.05)。16周和24周治疗组在第16周时IFN-γ+ naïve CD8+ T细胞有显著差异(p = 0.013),但在治疗结束时无显著差异(p = 0.393),尽管持续时间不同。本研究确定了与结核病严重程度、DILI和治疗动态相关的特定t细胞表型,突出了疾病监测和DILI预测的潜在免疫标志物。
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来源期刊
Clinical Respiratory Journal
Clinical Respiratory Journal 医学-呼吸系统
CiteScore
3.70
自引率
0.00%
发文量
104
审稿时长
>12 weeks
期刊介绍: Overview Effective with the 2016 volume, this journal will be published in an online-only format. Aims and Scope The Clinical Respiratory Journal (CRJ) provides a forum for clinical research in all areas of respiratory medicine from clinical lung disease to basic research relevant to the clinic. We publish original research, review articles, case studies, editorials and book reviews in all areas of clinical lung disease including: Asthma Allergy COPD Non-invasive ventilation Sleep related breathing disorders Interstitial lung diseases Lung cancer Clinical genetics Rhinitis Airway and lung infection Epidemiology Pediatrics CRJ provides a fast-track service for selected Phase II and Phase III trial studies. Keywords Clinical Respiratory Journal, respiratory, pulmonary, medicine, clinical, lung disease, Abstracting and Indexing Information Academic Search (EBSCO Publishing) Academic Search Alumni Edition (EBSCO Publishing) Embase (Elsevier) Health & Medical Collection (ProQuest) Health Research Premium Collection (ProQuest) HEED: Health Economic Evaluations Database (Wiley-Blackwell) Hospital Premium Collection (ProQuest) Journal Citation Reports/Science Edition (Clarivate Analytics) MEDLINE/PubMed (NLM) ProQuest Central (ProQuest) Science Citation Index Expanded (Clarivate Analytics) SCOPUS (Elsevier)
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