Evidence map›Paper›PMID 38192178›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Single-Cell Sequencing Reveals Functional Alterations in Tuberculosis.

Mengyuan Lyu, Gaolian Xu, Jian Zhou, Julien Reboud, Yili Wang, Hongli Lai, Yi Chen, Yanbing Zhou, Guiying Zhu, Jonathan M Cooper and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
7.4field-weighted citation impact, top 2% of its field
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

20 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Review
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  7. Article
  8. Review
  9. Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Review
  15. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  16. Review
  17. Article
  18. Article
  19. Automated Diagnosis and Phenotyping of Tuberculosis Using Serum Metabolic Fingerprints.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  20. Single-Cell Sequencing Reveals Functional Alterations in Tuberculosis.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    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

11 authors at 3 institutions in 2 countries.

Mengyuan LyuDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Gaolian XuSchool of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.ORCID 0000-0002-8714-5207
Jian ZhouDepartment of Thoracic Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Julien ReboudDivision of Biomedical Engineering, University of Glasgow, Glasgow, G12 8LT, United Kingdom.ORCID 0000-0002-6879-8405
Yili WangDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Hongli LaiDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Yi ChenDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Yanbing ZhouDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.
Guiying ZhuSchool of Biomedical Engineering/Med-X Research Institute, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
Jonathan M CooperDivision of Biomedical Engineering, University of Glasgow, Glasgow, G12 8LT, United Kingdom.ORCID 0000-0002-2358-1050
Binwu YingDepartment of Laboratory Medicine, West China Hospital, Sichuan University, Chengdu, Sichuan, 610041, P. R. China.ORCID 0000-0001-8077-3908
Sichuan University · CNShanghai Jiao Tong University · CNUniversity of Glasgow · GB

Funding

Medical Research Council MR/V035401/1
6 · The paper itself

Abstract

Despite its importance, the functional heterogeneity surrounding the dynamics of interactions between mycobacterium tuberculosis and human immune cells in determining host immune strength and tuberculosis (TB) outcomes, remains far from understood. This work now describes the development of a new technological platform to elucidate the immune function differences in individuals with TB, integrating single-cell RNA sequencing and cell surface antibody sequencing to provide both genomic and phenotypic information from the same samples. Single-cell analysis of 23 990 peripheral blood mononuclear cells from a new cohort of primary TB patients and healthy controls enables to not only show four distinct immune phenotypes (TB, myeloid, and natural killer (NK) cells), but also determine the dynamic changes in cell population abundance, gene expression, developmental trajectory, transcriptomic regulation, and cell-cell signaling. In doing so, TB-related changes in immune cell functions demonstrate that the immune response is mediated through host T cells, myeloid cells, and NK cells, with TB patients showing decreased naive, cytotoxicity, and memory functions of T cells, rather than their immunoregulatory function. The platform also has the potential to identify new targets for immunotherapeutic treatment strategies to restore T cells from dysfunctional or exhausted states.

Indexed as

Mycobacterium tuberculosisTuberculosisHumansKiller Cells, NaturalLeukocytes, MononuclearT-Lymphocytesfunctional variationheterogeneityimmunosuppressionsingle-cell sequencingtuberculosis

Identifiers

PMID38192178
PMCPMC10953544
OpenAlexW4390758855

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.