Evidence map›Paper›PMID 41575950›Full record

ArticlePloS one2026

Single-cell RNA-seq reveals the piperlongumine is a potential drug for ischemic stroke.

Jinwei Li, Xiaosi Zhu, Yan Zhang, Zixia Xu, Yurui Zhuang, Liqi Chen, Yan Cao, Chuan Chang, Yao Lv

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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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

9 authors.

Jinwei LiDepartment of Nursing, School of Health and Nursing, Wuxi Taihu University, Wuxi, China.
Xiaosi ZhuDepartments of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Yan ZhangDepartment of Nursing, School of Health and Nursing, Wuxi Taihu University, Wuxi, China.
Zixia XuDepartment of Neurosurgery, the Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.
Yurui ZhuangDepartment of Neurosurgery, the Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.
Liqi ChenDepartment of Neurosurgery, the Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.
Yan CaoDepartment of Nursing, School of Health and Nursing, Wuxi Taihu University, Wuxi, China.
Chuan ChangDepartments of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China.
Yao LvDepartment of Neurosurgery, the Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, China.ORCID https://orcid.org/0009-0008-2497-4762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ischemic stroke is a cerebrovascular disease that can cause long-term neurological impairment, dementia, or death. It is the third most common cause of disability and the second leading cause of death worldwide. The aim of this study was to explore the underlying molecular mechanisms and potentially effective therapeutic drugs for ischemic stroke. Single-cell seq data (GSE174574) were downloaded from the Gene Expression Omnibus (GEO) database, and dimensionality reduction clustering was performed after quality control. Eighteen cell clusters were identified, which were annotated into 9 cell types according to specific marker genes. In addition, Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA) enrichment analysis showed that apoptosis was significantly increased after ischemic brain injury, while p53 signaling pathway, TNF-a signaling pathway and mitogen-activated protein kinase (MAPK) signaling pathway may play an important role in ischemic stroke. Furthermore, Connectivity Map (CMap) analysis and molecular docking suggested that piperlongumine might be an effective drug for the treatment of ischemic stroke by binding to the proteins encoded by Actb and Cflar. Finally, in vitro and in vivo experiments conformed the effectiveness of piperlongumine. This study provided new ideas for the treatment of ischemic stroke.

Indexed as

Brain IschemiaDioxolanesIschemic StrokeAnimalsApoptosisHumansMiceMolecular Docking SimulationPiperidonesRNA-SeqSignal TransductionSingle-Cell AnalysisSingle-Cell Gene Expression AnalysisDioxolanesPiperidonespiperlongumine

Identifiers

PMID41575950
PMCPMC12829879

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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.