ArticleJournal of neurointerventional surgery2023
Gene expression profiles of ischemic stroke clots retrieved by mechanical thrombectomy are associated with disease etiology.
Article in Journal of neurointerventional surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 20 citations in OpenAlex.
- Next-Generation Stroke Biomarkers: Bridging the Gap Between Innovation and Translation.Journal of clinical medicine · 2026Review
- Computed Tomography Radiomic Signatures Associated With Neutrophil Extracellular Trap Enrichment and First-Pass Outcome in Ischemic Stroke Thrombi.Journal of the American Heart Association · 2026Article
- Advances in genetics and multi-omics for ischemic stroke: from pathogenesis to clinical translation.Frontiers in genetics · 2026Review
- Identification of coagulation-related hub genes in ischemic stroke based on bioinformatics integration analysis and investigation of their immune regulatory mechanisms.European journal of medical research · 2025Article
- Transcriptomic profiling of thrombus-derived extracellular vesicles reveals PECAM-1 as a potential inflammatory marker for cardioembolic stroke patients.Journal of neuroinflammation · 2025Article
- Transcriptome Analysis IdentifiedJournal of the American Heart Association · 2025Article
- Clot Composition and Ischemic Stroke Etiology: A Contemporary Narrative Review.Journal of clinical medicine · 2025Review
- Thrombus composition in ischaemic stroke: histological and radiological evaluation, and implications for acute clinical management.Journal of thrombosis and thrombolysis · 2025Review
- Automatic etiological classification of stroke thrombus digital photographs using a deep learning model.Frontiers in neurology · 2025Article
- Multimodal CT imaging of ischemic stroke thrombi identifies scale-invariant radiomic features that reflect clot biology.Journal of neurointerventional surgery · 2023Article
- Bio-Impedance Spectroscopy of Retained Cells Using a Micro-Perforated Sensing Membrane Filtrating Whole Blood Samples under High Flowrate.Biosensors · 2023Article
- Biologically Informed Clot Histomics Are Predictive of Acute Ischemic Stroke Etiology.Stroke (Hoboken, N.J.) · 2023Article
- Advancing Stroke Research on Cerebral Thrombi with Omic Technologies.International journal of molecular sciences · 2023Review
Corrections and comments
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Authors and funding
12 authors at 3 institutions in 1 country.
Funding
Abstract
backgroundDetermining stroke etiology is crucial for secondary prevention, but intensive workups fail to classify ~30% of strokes that are cryptogenic.
objectiveTo examine the hypothesis that the transcriptomic profiles of clots retrieved during mechanical thrombectomy are unique to strokes of different subtypes.
methodsWe isolated RNA from the clots of 73 patients undergoing mechanical thrombectomy. Samples of sufficient quality were subjected to 100-cycle, paired-end RNAseq, and transcriptomes with less than 10 million unique reads were excluded from analysis. Significant differentially expressed genes (DEGs) between subtypes (defined by the Trial of Org 10 172 in Acute Stroke Treatment) were identified by expression analysis in edgeR. Gene ontology enrichment analysis was used to study the biologic differences between stroke etiologies.
resultsIn all, 38 clot transcriptomes were analyzed; 6 from large artery atherosclerosis (LAA), 21 from cardioembolism (CE), 5 from strokes of other determined origin, and 6 from cryptogenic strokes. Among all comparisons, there were 816 unique DEGs, 174 of which were shared by at least two comparisons, and 20 of which were shared by all three. Gene ontology analysis showed that CE clots reflected high levels of inflammation, LAA clots had greater oxidoreduction and T-cell processes, and clots of other determined origin were enriched for aberrant platelet and hemoglobin-related processes. Principal component analysis indicated separation between these subtypes and showed cryptogenic samples clustered among several different groups.
conclusionsExpression profiles of stroke clots were identified between stroke etiologies and reflected different biologic responses. Cryptogenic thrombi may be related to multiple etiologies.
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