Evidence map›Paper›PMID 41293646›Full record

ArticleJournal of inflammation research2025

Single-Cell Transcriptomics Reveals CCL3

Heng Xu, Kai Yuan, Guangyao Chen, Jing Luo, Aimin Yan, Huaijuan Huang, Xinbo Yu, Qingwen Tao, Guangrui Huang, Anlong Xu

Abstract read
In one paragraph

Article in Journal of inflammation research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 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

10 authors.

Heng Xu *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Kai Yuan *School of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Guangyao Chen *Traditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0002-6004-289X
Jing LuoTraditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0002-2454-2168
Aimin YanSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Huaijuan HuangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Xinbo YuTraditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, People's Republic of China.ORCID 0000-0003-2366-5147
Qingwen TaoTraditional Chinese Medicine Department of Rheumatism, China-Japan Friendship Hospital, Beijing, People's Republic of China.
Guangrui HuangSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.
Anlong XuSchool of Life Sciences, Beijing University of Chinese Medicine, Beijing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: The diverse differentiation states of mononuclear macrophages are closely associated with the pathogenesis of autoimmune diseases. This study integrates single-cell RNA sequencing data from six autoimmune diseases to characterize shared and disease-specific alterations in mononuclear macrophages, with the aim of enhancing our understanding of the immune landscape in autoimmune diseases and refining clinical treatment strategies. Methods: We collected single-cell RNA-sequencing data of autoimmune diseases including primary Sjogren's syndrome (pSS), Behçet's disease (BD), juvenile dermatomyositis (JDM), rheumatoid arthritis (RA), relapsing-remitting multiple sclerosis (RRMS), and systemic lupus erythematosus (SLE). We performed scRNA-seq analysis on 350,043 peripheral blood immune cells from autoimmune diseases patients and healthy controls, followed by validations with flow cytometry, immunohistochemical staining, and immunofluorescence. Results: Fifteen mononuclear phagocyte subpopulations were clustered from peripheral blood mononuclear cells (PBMCs), we identified a new subpopulation named CCL3 Conclusion: This study delineates a comprehensive landscape of mononuclear phagocyte heterogeneity in autoimmune diseases and reveals CCL3

Indexed as

autoimmune diseasesCCL3+ classical monocytesmononuclear phagocytesprimary Sjogren’s syndromesingle-cell RNA sequencing

Identifiers

PMID41293646
PMCPMC12642938

What OpenQuestion holds

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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.