Evidence map›Paper›PMID 39123125›Full record

ArticleMolecular medicine (Cambridge, Mass.)2024

Single-cell transcriptomic analysis reveals a decrease in the frequency of macrophage-RGS1

Ying Jiang, Xinqiang Zhang, Bo Wang, Liping Tang, Xin Liu, Xiudong Ding, Yueming Dong, Hong Lei, Di Wang, Huicheng Feng

Abstract read
In one paragraph

Article in Molecular medicine (Cambridge, Mass.), 2024. 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. Article
  2. Host- and pathogen-related determinants of pulmonaryEuropean respiratory review : an official journal of the European Respiratory Society · 2026
    Review
  3. Review
  4. Advances in Single-Cell Sequencing for Infectious Diseases: Progress and Perspectives.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  5. 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.

Ying Jiang *The Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Xinqiang Zhang *Emergency Department, Chengde Central Hospital, Chengde, 067000, Hebei, People's Republic of China.
Bo WangThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Liping TangThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Xin LiuThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Xiudong DingThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Yueming DongThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China.
Hong LeiThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China. leihong_hospital@126.com.
Di WangInstitute of Immunology and Molecular Medicine, Jining Medical University, Jining, China. wangdi_42869@163.com.ORCID 0000-0003-0870-2157
Huicheng FengThe Eighth Medical Center of Chinese PLA General Hospital, Beijing, 100091, People's Republic of China. fenghc309@126.com.

Funding

National Natural Science Foundation of China 61871382National Natural Science Foundation of China 81401635
6 · The paper itself

Abstract

backgroundCell subsets differentially modulate host immune responses to Mycobacterium tuberculosis (MTB) infection. However, the nature and functions of these subsets against osteoarticular tuberculosis (OTB) are unclear. Here, we aimed to understand the phenotypes and functions of immune cell subsets in patients with OTB using single-cell RNA sequencing (scRNA-Seq).

methodsPathological and healthy adjacent tissues were isolated from patients with OTB and subjected to scRNA-Seq. Unsupervised clustering of cells was performed based on gene expression profiles, and uniform manifold approximation and projection was used for clustering visualization.

resultsThirteen cell subsets were identified in OTB tissues. scRNA-seq datasets of patients and healthy controls (HCs) showed that infection changed the frequency of immune cell subsets in OTB tissues. Myeloid cell examination revealed nine subsets. The frequency of macrophage-RGS1

conclusionThe macrophage-RGS1

Indexed as

Gene Expression ProfilingMacrophagesSingle-Cell AnalysisTranscriptomeTuberculosis, OsteoarticularAdultBiomarkersFemaleHumansMaleMiddle AgedMycobacterium tuberculosisBiomarkersBiomarkerFerroptosisMacrophagesOsteoarticular tuberculosisscRNA

Identifiers

PMID39123125
PMCPMC11316427

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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.