Evidence map›Paper›PMID 40303468›Full record

ArticleFrontiers in aging neuroscience2025

Decoding immune cell dynamics in ischemic stroke: insights from single-cell RNA sequencing analysis.

Yating Lan, Chun Zou, Feiyu Nong, Qi Huang, Jingyi Zeng, Wenyi Song, Guining Liang, Qingyan Wei, Mika Pan, Donghua Zou and 1 more

Abstract read
In one paragraph

Article in Frontiers in aging neuroscience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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.

Yating Lan *Department of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Chun Zou *Department of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Feiyu Nong *Department of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qi HuangDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Jingyi ZengDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Wenyi SongDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Guining LiangDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Qingyan WeiDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Mika PanDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Donghua ZouDepartment of Neurology, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.
Yaobin LongDepartment of Rehabilitation, The Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Ischemic stroke (IS) is a leading cause of adult disability worldwide. The inflammatory processes involved are complex, making it challenging to fully understand the pathological mechanisms of IS. Phagocytosis plays an important role in eliminating neurotoxic or damaged neurons resulting from inflammatory responses. This study employed bioinformatics methods to analyze single-cell RNA sequencing (scRNA-seq) data to investigate the cell types and molecular biological processes involved in IS. Methods: scRNA-seq data for IS were obtained from the Gene Expression Omnibus (GEO). Following sample screening and reprocessing, 5,582 single cells were identified from healthy controls and patients with IS. Uniform manifold approximation and projection (UMAP) was utilized to further explore the cellular composition in IS. Functional enrichment analysis of differentially expressed genes was conducted to identify transcriptional regulators, whereas cell developmental trajectories were predicted to uncover potential cell fate decisions. iTALK was employed to identify potential ligand-receptor axes within the cell-type immune microenvironment of IS. Results: Based on scRNA-seq data analysis, we identified four cell types and their associated subclusters, along with genes exhibiting significant differential expression within these subclusters. Phagocytosis was significantly enriched in cell types linked to IS, while the differentiation trajectories of subpopulations in IS was different. Additionally, multiple receptor-ligand axes were identified, indicating diverse interactions within the immune microenvironment of IS. Conclusion: This study demonstrated that phagocytosis in IS cell types critically influences disease progression. It also predicted the trajectories of infarct cells. These findings provide valuable insights into the molecular and cellular mechanisms underlying IS and highlight potential pathways for therapeutic intervention.

Indexed as

cell communicationdifferential gene expressionenrichment analysisimmune cellsischemic strokephagocytosissingle cell analysis

Identifiers

PMID40303468
PMCPMC12037566

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