Evidence map›Paper›PMID 40415087›Full record

ArticleInfection2025

Antigen-specific chemokine CCL3 as a biomarker for distinguishing between recent and remote tuberculosis infection.

Chunyan Chang, Zichun Ma, Weicong Ren, Wei Wang, Haohan Liu, Rujie Zhong, Shanshan Li, Mengqiu Gao, Yu Pang

Abstract read
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In one paragraph

Article in Infection, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Chunyan Chang *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.
Zichun Ma *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.
Weicong Ren *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.
Wei WangDepartment 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.
Haohan LiuDepartment 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.
Rujie ZhongDepartment 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.
Shanshan LiDepartment 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. lss9011@126.com.
Mengqiu GaoDepartment of Tuberculosis, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis & Thoracic Tumor Research Institute, Beijing, People's Republic of China. gaomqwdm@aliyun.com.
Yu PangDepartment 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. pangyupound@163.com.

Funding

Beijing Municipal Science & Technology Commission Z221100007422064Beijing Nova Program 20220484169&20230484295Beijing Tongzhou District Science and Technology Commission key project KJ2024CX028the Capital's Funds for Health Improvement and Research 2024-1-1041
6 · The paper itself

Abstract

backgroundIdentifying recent tuberculosis (TB) infection individuals and administering TB preventive therapy (TPT) are critical strategies for controlling TB. However, current diagnostics fail to identify these individuals at high risk for developing active TB. Herein, we aimed to explore the candidate biomarkers to distinguish recent TB infection from remote TB infection individuals.

methodsClose contacts of TB patients were continuously recruited. A total of 121 participants meeting study inclusion criteria were assigned to screening and validation cohorts, consisting of 45 participants assigned to screening cohort, and 76 participants assigned to validation cohort. The inflammation-related protein biomarkers in Mtb antigen-stimulated blood plasma were measured in the screening cohort using the Olink targeted proteomics. The candidate biomarkers were verified in validation cohort with the customized Luminex-based multiplex microbead array.

resultsQuantitative proteomics analysis reveals that significant differences in Mycobacterium tuberculosis (Mtb) antigen-stimulated blood plasma levels of CCL3, CCL20, CCL23 and TNF-α between remote and recent TB infection group. The different response profiles of memory immune cells to Mtb antigens could stem from activation of the NF-κB signaling pathway. The levels of CCL3, CCL20 and TNF-α were predictive of recent TB infection group, of which CCL3 exhibited the best performance with an AUC value of 0.859, yielding a sensitivity and specificity of 86.4% and 75%, respectively.

conclusionsThe Mtb antigen-specific assay utilizing CCL3 exhibits superior diagnostic performance and could potentially enhance diagnostic accuracy for identifying recent TB infection patients among LTBI individuals.

Indexed as

Antigens, BacterialBiomarkersChemokine CCL3TuberculosisAdultCohort StudiesFemaleHumansMaleMiddle AgedMycobacterium tuberculosisProteomicsSensitivity and SpecificityYoung AdultAntigens, BacterialBiomarkersCCL3 protein, humanChemokine CCL3BiomarkerLatent tuberculosis infectionProteomicsRecent infection

Identifiers

PMID40415087

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.