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Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke

Authors: Paulina Carmona-Mora; Bodie Knepp; Glen C Jickling; Xinhua Zhan; Marisa Hakoupian; Heather Hull; Noor Alomar; +4 Authors

Monocyte, neutrophil, and whole blood transcriptome dynamics following ischemic stroke

Abstract

Abstract Background After ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. Peripheral blood cells display distinctive gene expression signatures post-IS and these transcriptional programs reflect changes in immune responses to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of immune and clotting responses at the molecular and cellular level that are involved in acute brain injury and may assist with time-targeted, cell-specific therapy. Methods The transcriptomic profiles from peripheral monocytes, neutrophils, and whole blood from 38 ischemic stroke patients and 18 controls were analyzed with RNA-seq as a function of time and etiology after stroke. Differential expression analyses were performed at 0–24 h, 24–48 h, and >48 h following stroke. Results Unique patterns of temporal gene expression and pathways were distinguished for monocytes, neutrophils, and whole blood with enrichment of interleukin signaling pathways for different time points and stroke etiologies. Compared to control subjects, gene expression was generally upregulated in neutrophils and generally downregulated in monocytes over all times for cardioembolic, large vessel, and small vessel strokes. Self-organizing maps identified gene clusters with similar trajectories of gene expression over time for different stroke causes and sample types. Weighted Gene Co-expression Network Analyses identified modules of co-expressed genes that significantly varied with time after stroke and included hub genes of immunoglobulin genes in whole blood. Conclusions Altogether, the identified genes and pathways are critical for understanding how the immune and clotting systems change over time after stroke. This study identifies potential time- and cell-specific biomarkers and treatment targets.

Country
United States
Keywords

Aging, Stroke (mesh), Cerebrovascular, Neutrophils, Pathway analyses, 11 Medical and Health Sciences (for), Medical and Health Sciences, Monocytes, Clinical Research (rcdc), Aging (rcdc), transcriptomics, Monocytes (mesh), neutrophils, Brain Disorders (rcdc), Gene Regulatory Networks, 32 Biomedical and Clinical Sciences (for-2020), Neurosciences (rcdc), Humans (mesh), Time course, Ischemic stroke, WGCNA, R, Cerebrovascular (rcdc), pathway analyses, RNAseq, Stroke, Stroke (hrcs-hc), Blood, Gene Regulatory Networks (mesh), Medicine, monocytes, Hub genes, Biotechnology, Research Article, Neutrophils (mesh), General & Internal Medicine (science-metrix), 1.1 Normal biological development and functioning, Immunology, 610, Biotechnology (rcdc), Ischemic Stroke (mesh), Clinical Research, 42 Health sciences (for-2020), blood, General & Internal Medicine, Genetics, ischemic stroke, Humans, Transcriptomics, 3204 Immunology (for-2020), Ischemic Stroke, 1.1 Normal biological development and functioning (hrcs-rac), Biomedical and Clinical Sciences, Genetics (rcdc), Gene Expression Profiling, Human Genome, Neurosciences, Stroke (rcdc), Health sciences, hub genes, Transcriptome (mesh), Human Genome (rcdc), Gene Expression Profiling (mesh), Brain Disorders, 32 Biomedical and clinical sciences (for-2020), gene expression, Gene expression, RNA-seq, Transcriptome

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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