• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

一种新型趋化因子生物标志物,可区分活动性结核病与潜伏性结核病:一项队列研究。

A novel chemokine biomarker to distinguish active tuberculosis from latent tuberculosis: a cohort study.

机构信息

Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, Postal No. 9, Beiguan Street, Tongzhou District, Beijing 101149, 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.

出版信息

QJM. 2023 Dec 27;116(12):1002-1009. doi: 10.1093/qjmed/hcad214.

DOI:10.1093/qjmed/hcad214
PMID:37740371
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10753411/
Abstract

BACKGROUND

Interferon-γ release assays (IGRAs), which are widely used to diagnose tuberculosis (TB), cannot effectively discriminate latent TB infection (LTBI) from active TB (ATB). This study aimed to identify potential antigen-specific biomarkers for differentiating LTBI cases from ATB cases.

METHODS

Ongoing recruitment was conducted of individuals meeting study inclusion criteria at Beijing Chest Hospital from May 2020 to April 2022; 208 participants were enrolled and assigned to three groups: HC (60 healthy controls), LTBI (52 subjects with LTBI) and ATB (96 ATB patients). After participants were assigned to the discovery cohort (20 or 21 subjects/group), all others were assigned to the verification cohort. Discovery cohort blood levels of 40 chemokines were measured using Luminex assays to identify chemokines that could be used to discriminate LTBI cases from ATB cases; candidate biomarkers were verified using enzyme-linked immunosorbent assay-based testing of validation cohort samples.

RESULTS

Luminex results revealed highest ATB group levels of numerous cytokines, growth factors and chemokines. Receiving operating characteristic curve-based analysis of 40 biomarkers revealed CCL8 (AUC = 0.890) and CXCL9 (AUC = 0.883) effectively discriminated between LTBI and TB cases; greatest diagnostic efficiency was obtained using both markers together (AUC = 0.929). Interpretation of CCL8 and CXCL9 levels for validation cohort IGRA-positive subjects (based on a 0.658-ng/ml cutoff) revealed ATB group CCL8-based sensitivity and specificity rates approaching 90.79% and 100.00%, respectively.

CONCLUSION

TB-specific chemokines hold promise as ATB diagnostic biomarkers. Additional laboratory confirmation is needed to establish whether CCL8-based assays can differentiate between ATB and LTBI cases, especially for bacteriologically unconfirmed TB cases.

摘要

背景

干扰素-γ 释放试验(IGRAs)广泛用于诊断结核病(TB),但不能有效区分潜伏性 TB 感染(LTBI)与活动性 TB(ATB)。本研究旨在确定潜在的抗原特异性生物标志物,以区分 LTBI 病例和 ATB 病例。

方法

本研究于 2020 年 5 月至 2022 年 4 月在北京胸科医院进行,符合纳入标准的患者被纳入研究并分为三组:健康对照组(HC,60 例健康对照)、LTBI 组(52 例 LTBI 患者)和 ATB 组(96 例 ATB 患者)。在将参与者分配到发现队列(每组 20 或 21 例)后,其余参与者被分配到验证队列。使用 Luminex 分析检测发现队列血液中的 40 种趋化因子水平,以确定可用于区分 LTBI 病例和 ATB 病例的趋化因子;使用验证队列样本的酶联免疫吸附试验验证候选生物标志物。

结果

Luminex 结果显示,ATB 组多种细胞因子、生长因子和趋化因子水平最高。基于 40 种生物标志物的接收者操作特征曲线分析,CCL8(AUC=0.890)和 CXCL9(AUC=0.883)可有效区分 LTBI 和 TB 病例;同时使用两种标志物可获得最佳诊断效率(AUC=0.929)。根据 0.658-ng/ml 截断值,对验证队列 IGRA 阳性患者的 CCL8 和 CXCL9 水平进行解读,发现 ATB 组基于 CCL8 的敏感性和特异性率分别接近 90.79%和 100.00%。

结论

TB 特异性趋化因子有望成为 ATB 诊断的生物标志物。需要进一步的实验室确认来确定基于 CCL8 的检测是否可以区分 ATB 和 LTBI 病例,特别是对于未经细菌学证实的 TB 病例。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/3ea512c16346/hcad214f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/36cbc7d57f86/hcad214f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/bb7d88e1d447/hcad214f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/af3bd8a631e2/hcad214f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/9076b34ddec2/hcad214f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/a5b246297a31/hcad214f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/3ea512c16346/hcad214f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/36cbc7d57f86/hcad214f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/bb7d88e1d447/hcad214f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/af3bd8a631e2/hcad214f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/9076b34ddec2/hcad214f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/a5b246297a31/hcad214f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/25a1/10753411/3ea512c16346/hcad214f6.jpg

相似文献

1
A novel chemokine biomarker to distinguish active tuberculosis from latent tuberculosis: a cohort study.一种新型趋化因子生物标志物,可区分活动性结核病与潜伏性结核病:一项队列研究。
QJM. 2023 Dec 27;116(12):1002-1009. doi: 10.1093/qjmed/hcad214.
2
Antigen-specific chemokine profiles as biomarkers for detecting infection.作为感染检测生物标志物的抗原特异性趋化因子谱
Front Immunol. 2024 Mar 6;15:1359555. doi: 10.3389/fimmu.2024.1359555. eCollection 2024.
3
Host biomarkers other than interferon gamma in QFT-TB supernatants for identifying active tuberculosis.QFT-TB 上清液中除干扰素γ以外的宿主生物标志物用于识别活动性结核病。
Tuberculosis (Edinb). 2022 Sep;136:102256. doi: 10.1016/j.tube.2022.102256. Epub 2022 Sep 7.
4
Diagnostic performance of plasma cytokine biosignature combination and MCP-1 as individual biomarkers for differentiating stages Mycobacterium tuberculosis infection.血浆细胞因子生物标志物组合和 MCP-1 作为区分结核分枝杆菌感染阶段的个体生物标志物的诊断性能。
J Infect. 2019 Apr;78(4):281-291. doi: 10.1016/j.jinf.2018.10.017. Epub 2018 Dec 5.
5
Multiplex analysis of plasma cytokines/chemokines showing different immune responses in active TB patients, latent TB infection and healthy participants.对血浆细胞因子/趋化因子进行多重分析,结果显示活动性肺结核患者、潜伏性结核感染患者和健康参与者存在不同的免疫反应。
Tuberculosis (Edinb). 2017 Dec;107:88-94. doi: 10.1016/j.tube.2017.07.013. Epub 2017 Aug 3.
6
Activation Phenotype of -Specific CD4 T Cells Promoting the Discrimination Between Active Tuberculosis and Latent Tuberculosis Infection.-特异性 CD4 T 细胞激活表型促进活动性结核病与潜伏性结核感染的鉴别。
Front Immunol. 2021 Aug 26;12:721013. doi: 10.3389/fimmu.2021.721013. eCollection 2021.
7
QuantiFERON-TB Gold Plus combined with HBHA-Induced IFN-γ release assay improves the accuracy of identifying tuberculosis disease status.QuantiFERON-TB Gold Plus 联合 HBHA 诱导的 IFN-γ 释放试验提高了结核疾病状态的识别准确性。
Tuberculosis (Edinb). 2020 Sep;124:101966. doi: 10.1016/j.tube.2020.101966. Epub 2020 Aug 6.
8
Prediction of Th1 and Cytotoxic T Lymphocyte Epitopes of and Evaluation of Their Potential in the Diagnosis of Tuberculosis in a Mouse Model and in Humans.和细胞毒性 T 淋巴细胞表位的预测及其在小鼠模型和人类结核病诊断中的潜在应用评估。
Microbiol Spectr. 2022 Aug 31;10(4):e0143822. doi: 10.1128/spectrum.01438-22. Epub 2022 Aug 8.
9
Heme oxygenase-1 and neopterin plasma/serum levels and their role in diagnosing active and latent TB among HIV/TB co-infected patients: a cross sectional study.血红素加氧酶-1 和新蝶呤的血浆/血清水平及其在诊断 HIV/TB 合并感染患者活动性和潜伏性结核病中的作用:一项横断面研究。
BMC Infect Dis. 2021 Jul 27;21(1):711. doi: 10.1186/s12879-021-06370-7.
10
A combination of iron metabolism indexes and tuberculosis-specific antigen/phytohemagglutinin ratio for distinguishing active tuberculosis from latent tuberculosis infection.铁代谢指标与结核特异抗原/植物血凝素比值联合鉴别活动性结核病与潜伏性结核感染。
Int J Infect Dis. 2020 Aug;97:190-196. doi: 10.1016/j.ijid.2020.05.109. Epub 2020 Jun 2.

引用本文的文献

1
Multiplexed cytokine profiling identifies diagnostic signatures for latent tuberculosis and reactivation risk stratification.多重细胞因子分析可识别潜伏性结核病的诊断特征及再激活风险分层。
PLoS One. 2025 Apr 9;20(4):e0316648. doi: 10.1371/journal.pone.0316648. eCollection 2025.
2
The blood biomarker combination IL-8/IL-33 and IL-18/IL-33 distinguish between active tuberculosis and latent infection.血液生物标志物组合白细胞介素-8/白细胞介素-33和白细胞介素-18/白细胞介素-33可区分活动性肺结核和潜伏感染。
Infection. 2025 Mar 17. doi: 10.1007/s15010-024-02454-z.
3
Diagnostic performance of biomarkers for differentiating active tuberculosis from latent tuberculosis: a systematic review and Bayesian network meta-analysis.

本文引用的文献

1
QuantiFERON Supernatant-Based Host Biomarkers Predicting Progression to Active Tuberculosis Disease Among Household Contacts of Tuberculosis Patients.基于 QuantiFERON 上清液的宿主生物标志物预测结核病患者家庭接触者中向活动性结核病进展的情况。
Clin Infect Dis. 2023 May 24;76(10):1802-1813. doi: 10.1093/cid/ciac979.
2
Significant difference in Th1/Th2 paradigm induced by tuberculosis-specific antigens between IGRA-positive and IGRA-negative patients.结核特异性抗原诱导的 IGRA 阳性和 IGRA 阴性患者 Th1/Th2 格局存在显著差异。
Front Immunol. 2022 Aug 31;13:904308. doi: 10.3389/fimmu.2022.904308. eCollection 2022.
3
用于区分活动性肺结核与潜伏性肺结核的生物标志物的诊断性能:一项系统评价和贝叶斯网络荟萃分析
Front Microbiol. 2024 Dec 20;15:1506127. doi: 10.3389/fmicb.2024.1506127. eCollection 2024.
4
Transcriptomics-based anti-tuberculous mechanism of traditional Chinese polyherbal preparation NiuBeiXiaoHe intermediates.基于转录组学的中药复方制剂牛贝消核中间体抗结核机制
Front Pharmacol. 2024 Sep 19;15:1415951. doi: 10.3389/fphar.2024.1415951. eCollection 2024.
5
Intensive reprocessing of reusable bronchoscopes can reduce the false positive rate of Xpert MTB/RIF caused by nucleic acid residue.可重复使用支气管镜的强化再处理可降低核酸残留导致的Xpert MTB/RIF假阳性率。
J Clin Tuberc Other Mycobact Dis. 2024 Aug 14;37:100476. doi: 10.1016/j.jctube.2024.100476. eCollection 2024 Dec.
6
Plasma immune profiling combined with machine learning contributes to diagnosis and prognosis of active pulmonary tuberculosis.血浆免疫谱分析结合机器学习有助于活动性肺结核的诊断和预后。
Emerg Microbes Infect. 2024 Dec;13(1):2370399. doi: 10.1080/22221751.2024.2370399. Epub 2024 Jul 4.
7
The predictive value of TNF family for pulmonary tuberculosis: a pooled causal effect analysis of multiple datasets.TNF 家族对肺结核的预测价值:多个数据集的汇总因果效应分析。
Front Immunol. 2024 May 21;15:1398403. doi: 10.3389/fimmu.2024.1398403. eCollection 2024.
Differential Diagnosis of Latent Tuberculosis Infection and Active Tuberculosis: A Key to a Successful Tuberculosis Control Strategy.
潜伏性结核感染与活动性结核的鉴别诊断:成功结核病控制策略的关键
Front Microbiol. 2021 Oct 22;12:745592. doi: 10.3389/fmicb.2021.745592. eCollection 2021.
4
Tuberculosis: The Past, the Present and the Future.结核病:过去、现在与未来
Respiration. 2021;100(7):553-556. doi: 10.1159/000516509. Epub 2021 May 25.
5
Blood-based host biomarker diagnostics in active case finding for pulmonary tuberculosis: A diagnostic case-control study.用于肺结核主动病例发现的血液宿主生物标志物诊断:一项诊断性病例对照研究。
EClinicalMedicine. 2021 Mar 6;33:100776. doi: 10.1016/j.eclinm.2021.100776. eCollection 2021 Mar.
6
Tuberculosis Outbreak Associated With Delayed Diagnosis and Long Infectious Periods in Rural Arkansas, 2010-2018.2010-2018 年阿肯色州农村地区因诊断延迟和较长传染期导致的结核病爆发。
Public Health Rep. 2022 Jan-Feb;137(1):94-101. doi: 10.1177/0033354921999167. Epub 2021 Mar 17.
7
Xpert MTB/RIF Ultra and Xpert MTB/RIF assays for extrapulmonary tuberculosis and rifampicin resistance in adults.Xpert MTB/RIF Ultra 检测和 Xpert MTB/RIF 检测在成人肺外结核和利福平耐药检测中的应用。
Cochrane Database Syst Rev. 2021 Jan 15;1(1):CD012768. doi: 10.1002/14651858.CD012768.pub3.
8
The rapid molecular test Xpert MTB/RIF ultra: towards improved tuberculosis diagnosis and rifampicin resistance detection.Xpert MTB/RIF ultra 快速分子检测:提高结核病诊断和利福平耐药检测水平。
Clin Microbiol Infect. 2019 Nov;25(11):1370-1376. doi: 10.1016/j.cmi.2019.03.021. Epub 2019 Mar 28.
9
Curving Tuberculosis: Current Trends and Future Needs.《结核病的变迁:当前趋势与未来需求》。
Ann Glob Health. 2019 Jan 22;85(1):5. doi: 10.5334/aogh.2415.
10
Chemokines additional to IFN-γ can be used to differentiate among Mycobacterium tuberculosis infection possibilities and provide evidence of an early clearance phenotype.除γ-干扰素外,趋化因子可用于区分结核分枝杆菌感染的可能性,并提供早期清除表型的证据。
Tuberculosis (Edinb). 2017 Jul;105:28-34. doi: 10.1016/j.tube.2017.04.005. Epub 2017 Apr 18.