Metabolic and immune heterogeneity in stroke: Insights into subtype identification and biomarker discovery Article Swipe
YOU?
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· 2025
· Open Access
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· DOI: https://doi.org/10.1371/journal.pone.0323172
Stroke is a leading cause of mortality and long-term disability worldwide, characterized by substantial molecular and clinical heterogeneity. This study aimed to investigate the metabolic and immune-related mechanisms underlying stroke subtypes using transcriptomic data and advanced computational tools. Gene expression data from two GEO datasets (GSE16561 and GSE58294) were preprocessed, batch-corrected, and integrated. Consensus clustering based on 2,752 metabolism-related genes identified three distinct subtypes with significant differences in metabolic activity. GSVA analysis revealed subtype-specific variations in key pathways, such as the citrate cycle, glycolysis, and glycosaminoglycan biosynthesis, highlighting their metabolic diversity.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1371/journal.pone.0323172
- OA Status
- gold
- References
- 32
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4410574003Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1371/journal.pone.0323172Digital Object Identifier
- Title
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Metabolic and immune heterogeneity in stroke: Insights into subtype identification and biomarker discoveryWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-05-21Full publication date if available
- Authors
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Wei Wang, Qiuyang Qian, Zhigang Guo, Fang-Yi Lin, Wei-Ming Lin, Zhigang Yuan, Mei ShenList of authors in order
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https://doi.org/10.1371/journal.pone.0323172Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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goldOpen access status per OpenAlex
- OA URL
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https://doi.org/10.1371/journal.pone.0323172Direct OA link when available
- Concepts
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Computational biology, Biology, Transcriptome, Biomarker discovery, Metabolic pathway, Gene, Bioinformatics, Biomarker, Immune system, Genetics, Gene expression, ProteomicsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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32Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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