Evidence map›Paper›PMID 41163794›Full record

ArticleExploration (Beijing, China)2025

Single-Cell Transcriptomic Analysis of the Immune Response to COVID-19 and Tuberculosis Coinfection.

Yi Wang, Maike Zheng, Yun Zhang, Yu Xue, Sibo Long, Chaohong Wang, Qing Sun, Jun Yan, Yiheng Shi, Bin Yang and 11 more

Abstract read
In one paragraph

Article in Exploration (Beijing, China), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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  4. Review
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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

21 authors.

Yi WangExperimental Research Center Capital Center for Children's Health Capital Medical University Capital Institute of Pediatrics Beijing P. R. China.ORCID https://orcid.org/0000-0002-2031-087X
Maike ZhengDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Yun ZhangDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Yu XueTuberculosis Department Beijing Chest Hospital Capital Medical University Beijing P. R. China.
Sibo LongDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Chaohong WangDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Qing SunDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Jun YanDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Yiheng ShiDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Bin YangDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Shang MaDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Tiantian ZhangDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Lei CaoDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Yan ChenDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Wenfu JuDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Jing ZhangTuberculosis Department Beijing Chest Hospital Capital Medical University Beijing P. R. China.
Yan ZhaoDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.
Mengqiu GaoDepartment of Emergency Beijing Chest Hospital Capital Medical University Beijing P. R. China.
Laurence Don Wai LuuSchool of Life Sciences University of Technology Sydney Sydney Australia.
Xinting YangTuberculosis Department Beijing Chest Hospital Capital Medical University Beijing P. R. China.
Guirong WangDepartment of Clinical Laboratory Beijing Chest Hospital Capital Medical University Beijing Tuberculosis and Thoracic Tumor Institute Beijing P. R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The immune characteristics and pathological mechanisms of COVID-19 and tuberculosis coinfection are not well understood. Single-cell RNA sequencing has emerged as a powerful tool for dissecting complex immune responses and cellular interactions in infectious diseases. Here, we employed scRNA-seq, combined with laboratory examinations and clinical observations, to elucidate potential mechanisms of immunopathology and protective immunity in coinfected patients. Substantial alterations in immune cell populations in patients with severe coinfection were observed, characterized by severe lymphopenia and massive expansion of myeloid cells. Lymphocytopenia may have resulted from lymphocyte apoptosis and migration. Systemic upregulation of S100 family proteins, mainly released by classical monocytes, might contribute to inflammatory cytokine storm via

Indexed as

CoinfectionCOVID‐19Dysregulated immune responsescRNA‐seqTuberculosis

Identifiers

PMID41163794
PMCPMC12561472

What OpenQuestion holds

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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.