Evidence map›Paper›PMID 41145625›Full record

ArticleScientific reports2025

Peripheral blood cellular dynamics during the progression of human tuberculosis.

Shanshan Zhu, Qiuchen Dai, Kai Wang, Hanlin Yan, Yuexuan Ma, Yayan Niu, Cheng Chen, Meiying Wu, Xueying Xie, Wanjun Gu

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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

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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. Article
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

10 authors.

Shanshan ZhuState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, China. 230198597@seu.edu.cn.
Qiuchen DaiSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Kai WangSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Hanlin YanSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Yuexuan MaState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, China.
Yayan NiuDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China.
Cheng ChenDepartment of Chronic Communicable Disease, Center for Disease Control and Prevention of Jiangsu Province, Nanjing, Jiangsu, China.
Meiying WuDepartment of Tuberculosis, The Fifth People's Hospital of Suzhou, The Affiliated Infectious Diseases Hospital of Soochow University, Suzhou, Jiangsu, China.
Xueying XieState Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing, Jiangsu, China.
Wanjun GuSchool of Artificial Intelligence and Information Technology, Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China. wanjungu@njucm.edu.cn.

Funding

National Natural Science Foundation of China 82430122
6 · The paper itself

Abstract

Tuberculosis (TB) remains a major global health challenge. Peripheral blood immune cell composition provides valuable insights into TB progression and management. In this study, we analyzed cellular dynamics across the TB disease spectrum using 43 global transcriptomic datasets encompassing 5,902 blood samples. Distinct immune changes were identified during the early stages of TB progression. Transition from latent infection to incipient TB was associated with reduced proportions of natural killer (NK) cells. In subclinical TB, monocyte proportions increased further, accompanied by additional reductions in NK cells and B cells. These early immune shifts preceded the pronounced alterations observed in active TB, characterized by elevated monocytes and neutrophils alongside markedly decreased lymphocyte populations. During successful anti-TB treatment, immune profiles gradually normalized. Cellular dynamics were also influenced by TB burden, age, and HIV coinfection, with stronger immune responses observed in adults and in regions with lower TB burdens. Overall, this study highlights early-stage peripheral blood biomarkers, particularly NK cell changes, as potential indicators of TB progression and targets for preventive interventions.

Indexed as

TuberculosisAdultBiomarkersB-LymphocytesDisease ProgressionFemaleHIV InfectionsHumansKiller Cells, NaturalLatent TuberculosisMaleMiddle AgedMonocytesNeutrophilsTranscriptomeYoung AdultBiomarkersBlood transcriptomeIncipient tuberculosisSubclinical tuberculosisTuberculosis progression

Identifiers

PMID41145625
PMCPMC12559705

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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.