Evidence map›Paper›PMID 40703454›Full record

ArticleiScience2025

Single-cell transcriptional landscape of peripheral myeloid cells in autoimmune diseases.

Frank Qingyun Wang, Xiao Dang, Caicai Zhang, Huidong Su, Yao Lei, Xinxin Chen, Jing Yang, Wanling Yang

Abstract read
In one paragraph

Article in iScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Type I Interferon-Driven Monocyte Dysregulation and MAS-associated CD8bioRxiv : the preprint server for biology · 2026
    Article
  3. 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

8 authors.

Frank Qingyun WangDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Xiao DangDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Caicai ZhangDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Huidong SuDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Yao LeiDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Xinxin ChenDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Jing YangDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.
Wanling YangDepartment of Paediatrics and Adolescent Medicine, The University of Hong Kong, Hong Kong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Myeloid cells are pivotal in autoimmune disorder development due to their varied immune response functions yet understanding them at the single-cell level in such conditions is limited. To address this gap, we analyzed 351,905 myeloid cells from 375 single-cell RNA sequencing samples covering 14 autoimmune diseases, which allowed us to classify myeloid cells into 13 distinct subsets with unique immunological profiles. Through pseudotime analysis, we identified a branching process leading to two intermediary inflammatory subtypes and observed dysregulation in eight co-expression modules crucial for monocyte function across autoimmune conditions. Notably, a module linked to myeloid cell activation was consistently upregulated in autoimmune disorders. This insight led us to identify potential drug targets for therapeutic repurposing within the dysregulated modules. By incorporating genetic data from genome-wide association studies, we identified 13 myeloid cell subsets predisposed to varying degrees of risk in different autoimmune conditions.

Indexed as

Components of the immune systemImmunologyTranscriptomics

Identifiers

PMID40703454
PMCPMC12283746

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.