ArticleFrontiers in neurology2022
Consensus clustering of gene expression profiles in peripheral blood of acute ischemic stroke patients.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 5 citations in OpenAlex.
- Mitoxyperiosis Defines a Monocyte-driven Inflammatory Endotype in Ischemic Stroke: Multi-cohort Transcriptomic and Single-cell CITE-seq Analysis.Journal of molecular neuroscience : MN · 2026Article
- Discovery and validation of programmed cell death-associated key biomarker genes in ischemic stroke via ssGSEA/WGCNA and LASSO-SVM-RFE.Frontiers in molecular biosciences · 2026Article
- Machine learning consensus clustering for inflammatory subtype analysis in stroke and its impact on mortality risk: a study based on NHANES (1999-2018).Frontiers in neurology · 2025Article
- Transcriptomic profiling of burn patients reveals key lactylation-related genes and their molecular mechanisms.Frontiers in medicine · 2025Article
- Review
- Identification and validation of platelet-related diagnostic markers and potential drug screening in ischemic stroke by integrating comprehensive bioinformatics analysis and machine learning.Frontiers in immunology · 2023Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
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Abstract
Acute ischemic stroke (AIS) is a primary cause of mortality and morbidity worldwide. Currently, no clinically approved immune intervention is available for AIS treatment, partly due to the lack of relevant patient classification based on the peripheral immunity status of patients with AIS. In this study, we adopted the consensus clustering approach to classify patients with AIS into molecular subgroups based on the transcriptomic profiles of peripheral blood, and we identified three distinct AIS molecular subgroups and 8 modules in each subgroup by the weighted gene co-expression network analysis. Remarkably, the pre-ranked gene set enrichment analysis revealed that the co-expression modules with subgroup I-specific signature genes significantly overlapped with the differentially expressed genes in AIS patients with hemorrhagic transformation (HT). With respect to subgroup II, exclusively male patients with decreased proteasome activity were identified. Intriguingly, the majority of subgroup III was composed of female patients who showed a comparatively lower level of AIS-induced immunosuppression (AIIS). In addition, we discovered a non-linear relationship between female age and subgroup-specific gene expression, suggesting a gender- and age-dependent alteration of peripheral immunity. Taken together, our novel AIS classification approach could facilitate immunomodulatory therapies, including the administration of gender-specific therapeutics, and attenuation of the risk of HT and AIIS after ischemic stroke.
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