ArticleAntioxidants (Basel, Switzerland)2025
Multi-Omics and Experimental Validation Identify GPX7 and Glutathione-Associated Oxidative Stress as Potential Biomarkers in Ischemic Stroke.
Article in Antioxidants (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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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.
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Who cites it
3 citing papers in PubMed.
- Next-Generation Redox Mediators: Itaconate, Nitro-Fatty Acids, Reactive Sulfur Species and Succinate as Emerging Switches in Predictive Redox Medicine.Antioxidants (Basel, Switzerland) · 2026Review
- Identification and validation of oxidative stress signature genes in the trabecular meshwork of glaucoma.Scientific reports · 2025Article
- DICAR/DICAR-JP exerts therapeutic effects in brain stroke via the miR-361-5p/PRMT1 pathway.Frontiers in pharmacology · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Ischemic stroke (IS) is the leading cause of disability and death worldwide, and its high incidence, disability and recurrence rates impose a heavy economic burden on families and society. Recent studies have shown that oxidative stress plays a key role in the pathophysiological mechanisms of ischemic stroke, not only participating in the onset and development of neuronal damage in the acute phase but also significantly influencing the long-term prognosis of ischemic stroke through molecular mechanisms, such as epigenetic modifications. However, the potential targets of oxidative stress-related genes in IS and their mechanisms of action remain to be elucidated. The aim of this study was to systematically analyse the function and significance of oxidative stress-related genes in IS. We obtained IS-related gene expression datasets from the GEO database and integrated known oxidative stress-related genes from the Genecards database for cross-analysis. Multidimensional feature screening using unsupervised consensus clustering and a series of machine learning algorithms led to the identification of the signature gene
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Registered trials
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