Evidence map›Paper›PMID 40681605›Full record

ArticleScientific reports2025

Analyses of the mechanism and therapeutic targets of senescence related genes in ischemic stroke with multi-omics approach.

Nanding Li, Shanquan Jing, Kang An, Bo Jia, Yingjie Han, Zan Wang, Chengcai Li, Xiaole Li, Jiwei Wang, Wei Liu and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 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.

Nanding Li *Department of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Shanquan Jing *Department of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Kang AnDepartment of Gastroenterology, Hebei General Hospital, Shijiazhuang, China.
Bo JiaDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Yingjie HanDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Zan WangDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Chengcai LiDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Xiaole LiDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Jiwei WangDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China.
Wei LiuDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China. roarofbear@163.com.
Conghui LiDepartment of Neurosurgery, The First Hospital of Hebei Medical University, 89 Donggang Road, Shijiazhuang, 050051, China. 13363880072@163.com.

Funding

National Health Commission Capacity Building and Continuing Education Center-funded project GWJJQ2022100102
6 · The paper itself

Abstract

Ischemic stroke (IS) affects 11 million people annually, posing substantial clinical and economic burdens. Current therapies remain limited by time sensitivity and variable efficacy, necessitating novel biomarkers. We developed a multi-omics framework to investigate senescence-associated gene regulation in IS. After normalizing GSE22255 and GSE58294 datasets, we systematically identified aging-related differentially expressed genes (DEGs). Functional annotation via Gene Set Enrichment Analysis (GSEA) and machine learning-driven Weighted Gene Co-expression Network Analysis (WGCNA) identified core genetic signatures validated in the GSE16561 cohort. Key regulators underwent single-gene profiling, immune microenvironment evaluation, and transcriptional network analysis. Reverse transcription-quantitative PCR (RT-qPCR) confirmed bioinformatics findings. We identified 132 senescence-related DEGs, with PTGS2 emerging as a key biomarker. Pathway analyses revealed significant NF-κB, HIF-1, and TGF-β signaling pathway activation. CIBERSORT-based immune profiling showed altered lymphocyte/macrophage ratios in IS patients. Drug-gene interaction analysis identified nine therapeutic compounds, including etodolac targeting NFE2L2 and PTGS2. A strong positive correlation (r = 0.72, p < 0.001) between NFE2L2 and PTGS2 expression was observed. This study establishes senescence-related genes as promising biomarkers and therapeutic targets for IS, particularly through NFE2L2-PTGS2 interactions, providing a foundation for developing immunomodulatory and targeted therapies.

Indexed as

AgingIschemic StrokeBiomarkersComputational BiologyCyclooxygenase 2Gene Expression ProfilingGene Expression RegulationGene Regulatory NetworksHumansMultiomicsSignal TransductionTranscriptomeBiomarkersCyclooxygenase 2PTGS2 protein, humanBiomarkersImmune profilingIschemic strokeMulti-omicsSenescence related genesTherapeutic targets

Identifiers

PMID40681605
PMCPMC12274485

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.