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ORIGINAL RESEARCH article

Front. Neurol.

Sec. Stroke

Volume 16 - 2025 | doi: 10.3389/fneur.2025.1560514

This article is part of the Research TopicRedefining Stroke Recovery: Current Trends and Recent AdvancesView all articles

Identification of PANoptosis-related genes as biomarkers in ischemic stroke

Provisionally accepted
  • 1Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China
  • 2Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, China

The final, formatted version of the article will be published soon.

PANoptosis (panoptotic cell death) is an inflammatory, lytic cell death pathway driven by caspases and RIPKs and regulated by PANoptosome complexes, distinguishing it from other cell death pathways. There is a close potential link between PANoptosis and neuroinflammation, with both regulating each other through complex molecular mechanisms and jointly participating in the pathological processes of neurological diseases. To investigate whether PANoptosis exists in IS and identify the master regulators of PANoptosis and their relationship. Gene microarray data were downloaded from the Gene Expression Omnibus (GEO) and differentially expressed genes (DEGs) were identified using R software. R software and Cytoscape were used to analyze and visualize the data. Gene ontology-biological process and the Kyoto Encyclopedia of Genes and Genomes were used to analyze the biological processes and possible pathways. The LASSO regression analysis、 Random Forest(RF)and support vector machine (SVM) methods were used to identify key genes for diagnostic model construction. In addition, biomarkers with higher diagnostic values for ischemic stroke were validated using other GEO datasets. Finally, 4,392 upregulated genes and 4,356 downregulated genes were identified in the peripheral blood of 23 normal controls and 69 patients with IS from the GSE58294 dataset. Crossing the differential genes with 277 PANoptosis genes yielded 60 upregulated genes and 58 downregulated genes. The top 10 hub upregulated genes and hub downregulated genes were identified using Cytoscape. Through LASSO regression、RF and SVM, four intersecting genes were screened from upregulated genes, and six intersecting genes were screened from downregulated intersecting genes. These ten intersecting genes were differentially expressed in the validation GSE16561 dataset. The results identify upregulated genes (CASP1, CTNNB1, CASP8) and downregulated genes (PSMC3) as key regulators of PANoptosis in IS. These findings demonstrate that PANoptosis-related genes are differentially expressed in IS and may serve as potential biomarkers.

Keywords: ischemic stroke, Neuroinflammation, Diagnostic model, PANoptosis, biomarker, machine learning

Received: 14 Jan 2025; Accepted: 08 Jul 2025.

Copyright: © 2025 Jiang, Zhang, Jia, Zhao, Zhao and Lu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Hong Zhao, Yueyang Hospital of Integrated Traditional Chinese and Western Medicine, Shanghai University of Traditional Chinese Medicine, Shanghai, 200437, China
Zhengyu Lu, Shuguang Hospital, Shanghai University of Traditional Chinese Medicine, Shanghai, China

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