ArticleTranslational stroke research2019
Shifts in Leukocyte Counts Drive the Differential Expression of Transcriptional Stroke Biomarkers in Whole Blood.
Article in Translational stroke research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 18 citations in OpenAlex.
- The Blood RNA Stability Atlas: defining temporal structure and trait-state programs in the human whole-blood transcriptome.bioRxiv : the preprint server for biology · 2026Article
- Long-read sequencing and proteomics reveal blood transcriptome and protein expression profiles in multiple primary lung cancers.BMC cancer · 2026Article
- Machine learning identifies PPARG as a diagnostic biomarker for sepsis linked to CD14/NF-κB signaling: integrated transcriptomics and experimental validation.Frontiers in cellular and infection microbiology · 2026Article
- Donor white blood cell differential is the single largest determinant of whole blood gene expression patterns.Genomics · 2023Article
- Variability in donor leukocyte counts confound the use of common RNA sequencing data normalization strategies in transcriptomic biomarker studies performed with whole blood.Scientific reports · 2023Article
- Depletion of Arg1-Positive Microglia/Macrophages Exacerbates Cerebral Ischemic Damage by Facilitating the Inflammatory Response.International journal of molecular sciences · 2022Article
- Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts.BMC neurology · 2022Article
- Cellular Immune Signal Exchange From Ischemic Stroke to Intestinal Lesions Through Brain-Gut Axis.Frontiers in immunology · 2022Review
- Immune Modulation as a Key Mechanism for the Protective Effects of Remote Ischemic Conditioning After Stroke.Frontiers in neurology · 2021Review
- Use of high-sensitivity digital ELISA improves the diagnostic performance of circulating brain-specific proteins for detection of traumatic brain injury during triage.Neurological research · 2020Article
- RNA expression studies in stroke: what can they tell us about stroke mechanism?Current opinion in neurology · 2020Review
- Discovery of stroke-related blood biomarkers from gene expression network models.BMC medical genomics · 2019Article
- Translational Metabolomics: Current Challenges and Future Opportunities.Metabolites · 2019Article
- Article
- Analysis of Early Stroke-induced Changes in Circulating Leukocyte Counts using Transcriptomic Deconvolution.Translational neuroscience · 2018Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
Our group recently identified a panel of ten genes whose RNA expression levels in whole blood have utility for detection of stroke. The purpose of this study was to determine the mechanisms by which these genes become differentially expressed during stroke pathology. First, we assessed the transcriptional distribution of the ten genes across the peripheral immune system by measuring their expression levels on isolated neutrophils, monocytes, B-lymphocytes, CD-4+ T-lymphocytes, CD-8+ T-lymphocytes, and NK-cells generated from the blood of healthy donors (n = 3). Then, we examined the relationship between the whole-blood expression levels of the ten genes and white blood cell counts in a cohort of acute ischemic stroke patients (n = 36) and acute stroke mimics (n = 15) recruited at emergency department admission. All ten genes displayed strong patterns of lineage-specific expression in our analysis of isolated leukocytes, and their whole-blood expression levels were correlated with white blood cell differential across the total patient population, suggesting that many of them are likely differentially expressed in whole blood during stroke as an artifact of stroke-induced shifts in leukocyte counts. Specifically, factor analysis inferred that over 50% of the collective variance in their whole-blood expression levels across the patient population was driven by underlying variance in white blood cell counts alone. However, the cumulative expression levels of the ten genes displayed a superior ability to discriminate between stroke patients and stroke mimics relative to white blood cell differential, suggesting that additional less prominent factors influence their expression levels which add to their diagnostic utility. These findings not only provide insight regarding this particular panel of ten genes, but also into the results of prior stroke transcriptomics studies performed in whole blood.
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