Evidence map›Paper›PMID 39798044›Full record

ArticleMolecular neurobiology2025

Identifying Pyroptosis-Hub Genes and Inflammation Cell Type-Related Genes in Ischemic Stroke.

Wei Ge, Liangbin Cao, Can Liu, Hao Wang, Meijing Lu, Yongquan Chen, Ye Wang

Abstract read
In one paragraph

Article in Molecular neurobiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Prediction and diagnosis of post-stroke epilepsy using artificial intelligence approaches: a systematic review and meta-analysis.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Pooled it
  2. 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

7 authors.

Wei GeDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Liangbin CaoDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Can LiuDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Hao WangDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Meijing LuDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China.
Yongquan ChenDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China. chenyq263@163.com.
Ye WangDepartment of Anesthesiology, Yijishan Hospital, First Affiliated Hospital of Wannan Medical College, Wuhu, 241004, China. wy630006@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is the second-leading global cause of death. The damage attributed to the immune storm triggered by ischemia-reperfusion injury (IRI) post-stroke is substantial. However, data on the transcriptomic dynamics of pyroptosis in IRI are limited. This study aimed to analyze the expression of key pyroptosis genes in stroke and their correlation with immune infiltration. Pyroptosis-related genes were identified from the obtained middle cerebral artery occlusion (MCAO) datasets. Differential expression and functional analyses of pyroptosis-related genes were performed, and differences in functional enrichment between high-risk and low-risk groups were determined. An MCAO diagnostic model was constructed and validated using selected pyroptosis-related genes with differential expression. High- and low-risk MCAO groups were constructed for expression and immune cell correlation analysis with pyroptosis-related hub genes. A regulatory network between pyroptosis-related hub genes and miRNA was also constructed, and protein domains were predicted. The expression of key pyroptosis genes was validated using an MCAO rat model. Twenty-five pyroptosis genes showed differential expression, including four hub genes, namely WISP2, MELK, SDF2L1, and AURKB. Characteristic genes were verified using real-time quantitative PCR analyses. The high- and low-risk groups showed significant expression differences for WISP2, MELK, and SDF2L1. In immune infiltration analysis, 12 immune cells showed differences in expression in MCAO samples. Further analysis demonstrated significant positive correlations between the pyroptosis-related hub gene SDF2L1 and immune cell-activated dendritic cells in the high-risk group and immune cell natural killer cells in the low-risk group. This study identified four pyroptosis-related hub genes, with elevated WISP2, MELK, and SDF2L1 expression closely associated with the high-risk group. The analysis of inflammatory cell types in immune infiltration can predict ischemic stroke risk levels and help to facilitate treatment.

Indexed as

InflammationIschemic StrokePyroptosisAnimalsGene Regulatory NetworksHumansInfarction, Middle Cerebral ArteryMaleRatsRats, Sprague-DawleyHub genesImmune infiltrationIschemia–reperfusion injuryPyroptosisStroke

Identifiers

PMID39798044
PMCPMC11953102

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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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 Socratic graph.