ArticleIET systems biology2022
Identification of the key genes and immune infiltrating cells determined by sex differences in ischaemic stroke through co-expression network module.
Article in IET systems biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 13 citations in OpenAlex.
- Neuroinflammation and acute ischemic stroke: impact on translational research and clinical care.Frontiers in surgery · 2025Review
- Potential diagnostic biomarkers for immunogenic cell death in elderly female patients with ischemic stroke: identification and analysis.Scientific reports · 2024Article
- Neuroprotective effects of gemfibrozil in neurological disorders: Focus on inflammation and molecular mechanisms.CNS neuroscience & therapeutics · 2024Review
- Sex differences in the inflammatory response to stroke.Seminars in immunopathology · 2023Review
- Investigation of shared genes and regulatory mechanisms associated with coronavirus disease 2019 and ischemic stroke.Frontiers in neurology · 2023Article
- The Link between Stroke Risk and Orodental Status-A Comprehensive Review.Journal of clinical medicine · 2022Review
- A cohesin-associated gene score may predict immune checkpoint blockade in hepatocellular carcinoma.FEBS open bio · 2022Article
- Sex-Specific Immune Responses in Stroke.Stroke · 2022Review
- Identification of the key genes and immune infiltrating cells determined by sex differences in ischaemic stroke through co-expression network module.IET systems biology · 2022Article
- Identification of key genes in late-onset major depressive disorder through a co-expression network module.Frontiers in genetics · 2022Article
- Identifying Key Biomarkers and Immune Infiltration in Female Patients with Ischemic Stroke Based on Weighted Gene Co-Expression Network Analysis.Neural plasticity · 2022Article
Corrections and comments
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stroke is one of the leading causes of patients' death and long-term disability worldwide, and ischaemic stroke (IS) accounts for nearly 80% of all strokes. Differential genes and weighted gene co-expression network analysis (WGCNA) in male and female patients with IS were compared. The authors used cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) to analyse the distribution pattern of immune subtypes between male and female patients. In this study, 141 up-regulated and 61 down-regulated genes were gathered and distributed into five modules in response to their correlation degree to clinical traits. The criterion for Gene Ontology (GO) term and Kyoto Encyclopaedia of Genes and Genomes (KEGG) pathway indicated that detailed analysis had the potential to enhance clinical prediction and to identify the gender-related mechanism. After that, the expression levels of hub genes were measured via the quantitative real-time PCR (qRT-PCR) method. Finally, CCL20, ICAM1 and PTGS2 were identified and these may be some promising targets for sex differences in IS. Besides, the hub genes were further verified by rat experiments. Furthermore, these CIBERSORT results showed that T cells CD8 and Monocytes may be the target for the treatment of male and female patients, respectively.
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