ArticlePloS one2020
Whole blood transcriptome biomarkers of unruptured intracranial aneurysm.
Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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16 citing papers in PubMed, 21 citations in OpenAlex.
- Preliminary Exploration on Melatonin-Mediated Protective Effects in Intracranial Aneurysms: Transcriptomic, Proteomic, and Metabolomic Profiling of Cerebral Vascular Tissues Combined with in vivo Animal Experiments.Drug design, development and therapy · 2026Article
- Cost-effectiveness of population-wide screening for intracranial aneurysms revisited in light of potential diagnostic developments.International journal of stroke : official journal of the International Stroke Society · 2025Article
- Evaluation of radiogenomics for risk stratification of intracranial aneurysms: a pilot study.Neuroradiology · 2025Article
- Modulation of the Immunological Milieu in Acute Aneurysmal Subarachnoid Hemorrhage: The Potential Role of Monocytes Through CXCL10 Secretion.Translational stroke research · 2025Article
- Dysregulated Genes and Signaling Pathways in the Formation and Rupture of Intracranial Aneurysm.Translational stroke research · 2024Article
- Review
- RNA Expression Signatures of Intracranial Aneurysm Growth Trajectory Identified in Circulating Whole Blood.Journal of personalized medicine · 2023Article
- A machine learning-derived gene signature for assessing rupture risk and circulatory immunopathologic landscape in patients with intracranial aneurysms.Frontiers in cardiovascular medicine · 2023Article
- Canonical NF-κB signaling pathway and GRO-α/CXCR2 axis are activated in unruptured intracranial aneurysm patients.Scientific reports · 2022Article
- Intracranial aneurysm wall (in)stability-current state of knowledge and clinical perspectives.Neurosurgical review · 2022Review
- A two-stage hybrid gene selection algorithm combined with machine learning models to predict the rupture status in intracranial aneurysms.Frontiers in neuroscience · 2022Article
- Identification of the key immune-related genes in aneurysmal subarachnoid hemorrhage.Frontiers in molecular neuroscience · 2022Article
- Article
- Aberrant Whole Blood Gene Expression in the Lumen of Human Intracranial Aneurysms.Diagnostics (Basel, Switzerland) · 2021Article
- Identification of Circulating Gene Expression Signatures of Intracranial Aneurysm in Peripheral Blood Mononuclear Cells.Diagnostics (Basel, Switzerland) · 2021Article
- A Two-Gene-Based Diagnostic Signature for Ruptured Intracranial Aneurysms.Frontiers in cardiovascular medicine · 2021Article
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe rupture of an intracranial aneurysm (IA) causes devastating subarachnoid hemorrhages, yet most IAs remain undiscovered until they rupture. Recently, we found an IA RNA expression signature of circulating neutrophils, and used transcriptome data to build predictive models for unruptured IAs. In this study, we evaluate the feasibility of using whole blood transcriptomes to predict the presence of unruptured IAs.
methodsWe subjected RNA from peripheral whole blood of 67 patients (34 with unruptured IA, 33 without IA) to next-generation RNA sequencing. Model genes were identified using the least absolute shrinkage and selection operator (LASSO) in a random training cohort (n = 47). These genes were used to train a Gaussian Support Vector Machine (gSVM) model to distinguish patients with IA. The model was applied to an independent testing cohort (n = 20) to evaluate performance by receiver operating characteristic (ROC) curve. Gene ontology and pathway analyses investigated the underlying biology of the model genes.
resultsWe identified 18 genes that could distinguish IA patients in a training cohort with 85% accuracy. This SVM model also had 85% accuracy in the testing cohort, with an area under the ROC curve of 0.91. Bioinformatics reflected activation and recruitment of leukocytes, activation of macrophages, and inflammatory response, suggesting that the biomarker captures important processes in IA pathogenesis.
conclusionsCirculating whole blood transcriptomes can detect the presence of unruptured IAs. Pending additional testing in larger cohorts, this could serve as a foundation to develop a simple blood-based test to facilitate screening and early detection of IAs.
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