Evidence map›Paper›PMID 40092995›Full record

ArticleFrontiers in immunology2025

Unveiling the immunological landscape of disseminated tuberculosis: a single-cell transcriptome perspective.

Zhen Gong, Hongxiang Xu, Qiao Zhang, Guirong Wang, Lin Fan, Zilu Wang, Lichao Fan, Chang Liu, Yanhong Yu, Zhou Liu and 6 more

Abstract read
In one paragraph

Article in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. 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

16 authors.

Zhen GongInstitute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing, China.
Hongxiang XuInstitute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing, China.
Qiao ZhangInstitute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing, China.
Guirong WangDepartment of Clinical Laboratory, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute, Beijing, China.
Lin FanShanghai Clinical Research Center for Tuberculosis, Shanghai Key Lab of Tuberculosis, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China.
Zilu WangInstitute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing, China.
Lichao FanShenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, Liaoning, China.
Chang LiuShenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, Liaoning, China.
Yanhong YuShenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, Liaoning, China.
Zhou LiuDepartment of Clinical Laboratory, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Qiang ZhouDepartment of Clinical Laboratory, The Second Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.
Huasheng XiaoShanghai Biotechnology Corporation, Shanghai, China.
Rui HouShanghai Biotechnology Corporation, Shanghai, China.
Ying ZhaoShanghai Biotechnology Corporation, Shanghai, China.
Yu ChenShenyang Tenth People's Hospital, Shenyang Chest Hospital, Shenyang, Liaoning, China.
Jianping XieInstitute of Modern Biopharmaceuticals, School of Life Sciences, Southwest University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Hematogenous disseminated tuberculosis (DTB) has an unclear etiology that likely involves multiple factors. Understanding the underlying immunological characteristics of DTB is crucial for elucidating its pathogenesis. Methods: We conducted single-cell RNA transcriptome and T cell receptor (TCR) sequencing on samples from seven DTB patients. Additionally, we integrated and analyzed data from two published profiles of latent TB infection, three active TB cases, and two healthy controls. Results: Our analysis revealed a significantly higher proportion of inflammatory immune cells (e.g., monocytes and macrophages) in DTB patients, along with a notably lower abundance of various lymphocytes (including T cells, B cells, and plasma cells), suggesting that lymphopenia is a prominent feature of the disease. T cell pseudotime analysis indicated a decrease in the expression of most hypervariable genes over time, pointing to T cell functional exhaustion. Furthermore, a marked absence of mucosal-associated invariant T (MAIT) cells was observed in the peripheral blood of DTB patients. In the TCR repertoire, specific polymorphisms (TRAV9-2, TRAV13-1, TRBV20-1, and TRBV5-1) and dominant clones (TRAJ49, TRBJ2-7, and TRBJ2-1) were identified. Analysis of the complementarity determining region 3 (CDR3) showed that the most frequent combination was TRAV1-2/TRAJ33, with the motif "CAAMD" being significantly reduced in DTB patients. Discussion: These findings suggest that lymphopenia and T cell exhaustion, along with unique TCR signatures, may play critical roles in DTB pathogenesis. The reduced "CAAMD" motif and altered TCR clonotypes provide novel insights into the complex cellular dynamics associated with the disease, potentially offering new avenues for targeted immunological interventions.

Indexed as

Mycobacterium tuberculosisTranscriptomeTuberculosisAdultFemaleGene Expression ProfilingHumansMaleMiddle AgedMucosal-Associated Invariant T CellsReceptors, Antigen, T-CellSingle-Cell AnalysisReceptors, Antigen, T-CellCDR3hematogenous disseminated tuberculosissingle-cell sequencingT cell exhaustionTCR repertoire

Identifiers

PMID40092995
PMCPMC11906432

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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.