SynthesisTranslational stroke research2020
Cardioembolic Ischemic Stroke Gene Expression Fingerprint in Blood: a Systematic Review and Verification Analysis.
Synthesis in Translational stroke research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03188484 (Stepwise High Risk Individuals Screening for Atrial Fibrillation Using Sequential Clinical-electro-biological Register), which is not on this map. Cited by 15 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Stepwise High Risk Individuals Screening for Atrial Fibrillation Using Sequential Clinical-electro-biological Register: the AFRICAT Study (Atrial Fibrillation Research In CATalonia)
Who cites it
15 citing papers in PubMed, 22 citations in OpenAlex.
- Inflammatory and stress markers predicting pneumonia, outcome, and etiology in patients with stroke: Biomarkers for predicting pneumonia, functional outcome, and death after stroke.Neurology(R) neuroimmunology & neuroinflammation · 2020Trial
- Machine Learning-Driven Identification of Blood-Based Biomarkers and Therapeutic Agents for Personalized Ischemic Stroke Management.Journal of cardiovascular translational research · 2025Article
- The causal association between COVID-19 and ischemic stroke: a mendelian randomization study.Virology journal · 2024Article
- Different expression patterns of inflammation-related genes and serum microRNAs in young-onset ischemic stroke.Scientific reports · 2024Article
- Transcriptomic Analysis of Extracellular Vesicles in the Search for Novel Plasma and Thrombus Biomarkers of Ischemic Stroke Etiologies.International journal of molecular sciences · 2024Article
- Identification of potential biological processes and key genes in diabetes-related stroke through weighted gene co-expression network analysis.BMC medical genomics · 2024Article
- Neuroinflammation in the Evolution of Motor Function in Stroke and Trauma Patients: Treatment and Potential Biomarkers.Current issues in molecular biology · 2023Review
- Current perspectives on the clinical management of cryptogenic stroke.Expert review of neurotherapeutics · 2023Review
- Biology of Pellino1: a potential therapeutic target for inflammation in diseases and cancers.Frontiers in immunology · 2023Review
- Elevated NT-proBNP levels are associated with CTP ischemic volume and 90-day functional outcomes in acute ischemic stroke: a retrospective cohort study.BMC cardiovascular disorders · 2022Article
- Promising Biomarker Candidates for Cardioembolic Stroke Etiology. A Brief Narrative Review and Current Opinion.Frontiers in neurology · 2021Review
- Blood-Based Biomarkers Are Associated with Different Ischemic Stroke Mechanisms and Enable Rapid Classification between Cardioembolic and Atherosclerosis Etiologies.Diagnostics (Basel, Switzerland) · 2020Review
- RNA expression studies in stroke: what can they tell us about stroke mechanism?Current opinion in neurology · 2020Review
- Risk of Atrial Fibrillation, Ischemic Stroke and Cognitive Impairment: Study of a Population Cohort ≥65 Years of Age.Vascular health and risk management · 2020Observational
- Bioinformatic analysis for potential biological processes and key targets of heart failure-related stroke.Journal of Zhejiang University. Science. BArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
19 authors at 9 institutions in 5 countries.
Funding
Abstract
An accurate etiological classification is key to optimize secondary prevention after ischemic stroke, but the cause remains undetermined in one third of patients. Several studies pointed out the usefulness of circulating gene expression markers to discriminate cardioembolic (CE) strokes, mainly due to atrial fibrillation (AF), while only exploring them in small cohorts. A systematic review of studies analyzing high-throughput gene expression in blood samples to discriminate CE strokes was performed. Significantly dysregulated genes were considered as candidates, and a selection of them was validated by RT-qPCR in 100 patients with defined CE or atherothrombotic (LAA) stroke etiology. Longitudinal performance was evaluated in 12 patients at three time points. Their usefulness as biomarkers for AF was tested in 120 cryptogenic strokes and 100 individuals at high-risk for stroke. Three published studies plus three unpublished datasets were considered for candidate selection. Sixty-seven genes were found dysregulated in CE strokes. CREM, PELI1, and ZAK were verified to be up-regulated in CE vs LAA (p = 0.010, p = 0.003, p < 0.001, respectively), without changes in their expression within the first 24 h after stroke onset. The combined up-regulation of these three biomarkers increased the probability of suffering from CE stroke by 23-fold. In cryptogenic strokes with subsequent AF detection, PELI1 and CREM showed overexpression (p = 0.017, p = 0.059, respectively), whereas in high-risk asymptomatic populations, all three genes showed potential to detect AF (p = 0.007, p = 0.007, p = 0.015). The proved discriminatory capacity of these gene expression markers to detect cardioembolism even in cryptogenic strokes and asymptomatic high-risk populations might bring up their use as biomarkers.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.