Understanding cell-specific transcriptome responses following intracerebral hemorrhage (ICH) and ischemic stroke (IS) will improve knowledge of the immune response to brain injury. Transcriptomic profiles of 141 samples from 48 subjects with ICH, different IS etiologies, and vascular risk factor controls were characterized using RNA-seq in isolated neutrophils, monocytes and whole blood. In both IS and ICH, monocyte genes were down-regulated, whereas neutrophil gene expression changes were generally up-regulated. The monocyte down-regulated response to ICH included innate, adaptive immune, dendritic, NK cell and atherosclerosis signaling. Neutrophil responses to ICH included tRNA charging, mitochondrial dysfunction, and ER stress pathways. Common monocyte and neutrophil responses to ICH included interferon signaling, neuroinflammation, death receptor signaling, and NFAT pathways. Suppressed monocyte responses to IS included interferon and dendritic cell maturation signaling, phagosome formation, and IL-15 signaling. Activated neutrophil responses to IS included oxidative phosphorylation, mTOR, BMP, growth factor signaling, and calpain proteases-mediated blood–brain barrier (BBB) dysfunction. Common monocyte and neutrophil responses to IS included JAK1, JAK3, STAT3, and thrombopoietin signaling. Cell-type and cause-specific approaches will assist the search for future IS and ICH biomarkers and treatments.
Intracerebral hemorrhage (ICH) and perihematomal edema (PHE) volumes are major determinants of ICH outcomes as is the immune system which plays a significant role in damage and repair. Thus, we performed whole-transcriptome analyses of 18 ICH patients to delineate peripheral blood genes and networks associated with ICH volume, absolute perihematomal edema (aPHE) volume, and relative PHE (aPHE/ICH; rPHE). We found 440, 266, and 391 genes correlated with ICH and aPHE volumes and rPHE, respectively (p < 0.005, partial-correlation > |0.6|). These mainly represented inflammatory pathways including NF-κB, TREM1, and Neuroinflammation Signaling—most activated with larger volumes. Weighted Gene Co-Expression Network Analysis identified seven modules significantly correlated with these measures (p < 0.05). Most modules were enriched in neutrophil, monocyte, erythroblast, and/or T cell-specific genes. Autophagy, apoptosis, HIF-1α, inflammatory and neuroinflammatory response (including Toll-like receptors), cell adhesion (including MMP9), platelet activation, T cell receptor signaling, and mRNA splicing were represented in these modules (FDR p < 0.05). Module hub genes, potential master regulators, were enriched in neutrophil-specific genes in three modules. Hub genes included NCF2, NCF4, STX3, and CSF3R, and involved immune response, autophagy, and neutrophil chemotaxis. One module that correlated negatively with ICH volume correlated positively with rPHE. Its genes and hubs were enriched in T cell-specific genes including hubs LCK and ITK, Src family tyrosine kinases whose modulation improved outcomes and reduced BBB dysfunction following experimental ICH. This study uncovers molecular underpinnings associated with ICH and PHE volumes and pathophysiology in human ICH, where knowledge is scarce. The identified pathways and hub genes may represent novel therapeutic targets.
We aimed to determine if plasma levels of bacterial lipopolysaccharide (LPS) and lipoteichoic acid (LTA) are associated with different causes of stroke and correlate with C-reactive protein (CRP), LPS-binding protein (LBP), and the NIH stroke scale (NIHSS). Ischemic stroke (cardioembolic (CE), large artery atherosclerosis (LAA), small vessel occlusion (SVO)), intracerebral hemorrhage (ICH), transient ischemic attack (TIA) and control subjects were compared (n = 205). Plasma LPS, LTA, CRP, and LBP levels were quantified by ELISA. LPS and CRP levels were elevated in ischemic strokes (CE, LAA, SVO) and ICH compared to controls. LBP levels were elevated in ischemic strokes (CE, LAA) and ICH. LTA levels were increased in SVO stroke compared to TIA but not controls. LPS levels correlated with CRP and LBP levels in stroke and TIA. LPS, LBP and CRP levels positively correlated with the NIHSS and WBC count but negatively correlated with total cholesterol. Plasma LPS and LBP associate with major causes of ischemic stroke and with ICH, whereas LPS/LBP do not associate with TIAs. LTA only associated with SVO stroke. LPS positively correlated with CRP, LBP, and WBC but negatively correlated with cholesterol. Higher LPS levels were associated with worse stroke outcomes.
Objective Though cigarette smoking (CS) is a well‐known risk factor for ischemic stroke (IS), there is no data on how CS affects the blood transcriptome in IS patients. Methods We recruited IS‐current smokers (IS‐SM), IS‐never smokers (IS‐NSM), control‐smokers (C‐SM), and control‐never smokers (C‐NSM). mRNA expression was assessed on HTA‐2.0 microarrays and unique as well as commonly expressed genes identified for IS‐SM versus IS‐NSM and C‐SM versus C‐NSM. Results One hundred and fifty‐eight genes were differentially expressed in IS‐SM versus IS‐NSM; 100 genes were differentially expressed in C‐SM versus C‐NSM; and 10 genes were common to both IS‐SM and C‐SM (P < 0.01; |fold change| ≥ 1.2). Functional pathway analysis showed the 158 IS‐SM‐regulated genes were associated with T‐cell receptor, cytokine–cytokine receptor, chemokine, adipocytokine, tight junction, Jak‐STAT, ubiquitin‐mediated proteolysis, and adherens junction signaling. IS‐SM showed more altered genes and functional networks than C‐SM. Interpretation We propose some of the 10 genes that are elevated in both IS‐SM and C‐SM (GRP15, LRRN3, CLDND1, ICOS, GCNT4, VPS13A, DAP3, SNORA54, HIST1H1D, and SCARNA6) might contribute to increased risk of stroke in current smokers, and some genes expressed by blood leukocytes and platelets after stroke in smokers might contribute to worse stroke outcomes that occur in smokers.
Objective Single nucleotide polymorphisms (SNPs) contribute to complex disorders such as ischemic stroke (IS). Since SNPs could affect IS by altering gene expression, we studied the association of common SNPs with changes in mRNA expression (i.e. expression quantitative trait loci; eQTL) in blood after IS. Methods RNA and DNA were isolated from 137 patients with acute IS and 138 vascular risk factor controls (VRFC). Gene expression was measured using Affymetrix HTA 2.0 microarrays and SNP variants were assessed with Axiom Biobank Genotyping microarrays. A linear model with a genotype (SNP) × diagnosis (IS and VRFC) interaction term was fit for each SNP‐gene pair. Results The eQTL interaction analysis revealed significant genotype × diagnosis interaction for four SNP‐gene pairs as cis‐eQTL and 70 SNP‐gene pairs as trans‐eQTL. Cis‐eQTL involved in the inflammatory response to IS included rs56348411 which correlated with neurogranin expression (NRGN), rs78046578 which correlated with CXCL10 expression, rs975903 which correlated with SMAD4 expression, and rs62299879 which correlated with CD38 expression. These four genes are important in regulating inflammatory response and BBB stabilization. SNP rs148791848 was a strong trans‐eQTL for anosmin‐1 (ANOS1) which is involved in neural cell adhesion and axonal migration and may be important after stroke. Interpretation This study highlights the contribution of genetic variation to regulating gene expression following IS. Specific inflammatory response to stroke is at least partially influenced by genetic variation. This has implications for progressing toward personalized treatment strategies. Additional research is required to investigate these genes as therapeutic targets.
Objectives: Intracerebral hemorrhage (ICH) volume is a major determinant of functional outcome. The peripheral immune system plays a critical role in post-ICH damage and repair. Identifying potential modulators of ICH volume may guide the search for therapeutic targets. We performed a whole genome expression study in peripheral blood to examine the immune response following ICH with respect to ICH volume. Methods: Whole-genome RNA expression from 18 ICH subjects (14M/4F) was assessed on Affymetrix HTA 2.0 microarrays. Volumetric measurements were conducted on CT images using AnalyzePro. Multiple Regression including ICH volume while accounting for time from ICH onset to blood draw and interval between scan time and blood draw, was performed. A partial correlation between gene expression and ICH volume was calculated, with FDR p<0.3 (nominal p<0.005) and Pearson Correlation coefficient r>|0.6| considered significant. Pathway analysis and activation/suppression prediction of over-represented pathways was performed (Benjamini-Hochberg p<0.05, pathway activation/suppression Z-score >|2|). Results: Gene expression levels of 281 genes, including coding (mRNA) and non-coding RNA (i.e. several miRNAs) were associated with ICH volume. Major pathways, such as Neuroinflammation Signaling, were predicted to be activated in subjects with larger ICH volumes. So were Inflammasome Pathway, Toll-like Receptor, Leukocyte Extravasation, NF-kB signaling and FC? Receptor-Mediated Phagocytosis – some of which have been associated with poor clinical outcomes. Scavenger mechanisms, such as FC? Receptor-Mediated Phagocytosis, have been implicated in hematoma resolution. Thrombin Signaling, involved in coagulation, was also activated in subjects with larger ICH volumes. Peroxisome Proliferator-Activated Receptor (PPAR) Signaling was predicted to be suppressed in subjects with larger ICH volumes. PPAR pathway activation may have a neuroprotective effect following experimental ICH. Conclusions: We provide human data on genes and pathways associated with ICH volume. The results reveal major inflammatory pathways associated with ICH volume, which may be therapeutic targets for human ICH.
Understanding transcriptome changes following intracerebral hemorrhage (ICH) and ischemic stroke (IS) of different etiologies, can lead to a better understanding of the molecular and cellular pathways involved in the response to acute brain injury caused by ICH and IS. We characterized the transcriptomic profiles from ICH and different IS etiologies to identify acute molecular changes in isolated monocytes, neutrophils and in whole blood. Peripheral blood was drawn from ICH (6) and IS (33) cases (cardioembolic, large vessel and lacunar) in the first 30 ± 20 hours post-onset of symptoms. We performed whole-genome RNA sequencing of whole blood (WB), and isolated neutrophils and monocytes. Control cases (10) with vascular risk factors (diabetes and/or hypertension and/or hypercholesterolemia) were also included (VRFC). A linear regression model including the interaction diagnosis x sample subtype with p<0.05 and overlap with FDR<0.2, (fold-change>1.2) was used for identifying differentially expressed (DE) genes. Gene ontology and pathway enrichment were performed for investigating the biological context of the DE. We observed specific transcriptional responses for ICH and IS, and within IS etiologies in monocytes, neutrophils and WB. Neutrophils’ response was the strongest with highest number of DE genes in both ICH and IS and its etiologies when compared to VRFC. Most of the changes were cell-type specific and involved immune response and signal transduction pathways. For example, in ICH compared to VRFC, about half of the over-represented pathways were unique to either monocytes or neutrophils. Many pathways over-represented in WB were not over-represented in monocytes or neutrophils, signifying the importance of additional blood cell types in the immune response to ICH and IS. A T-cell receptor gene was DE in WB only, and in opposite directions in ICH and IS when compared to VRFC, thus is a good biomarker candidate. The unique expression changes in neutrophils and monocytes after ICH and IS and its subtypes underscore their involvement in IS and ICH pathophysiology. The large number of unique genes and pathways in whole blood not detected in monocytes or neutrophils signify the contribution of other peripheral blood cell types to the ICH and IS responses.
Objective: Single nucleotide polymorphism (SNP) is one of the most common types of genetic variation and likely has a contributing role in ischemic stroke (IS). The influence of SNPs on changes of gene expression in blood after IS remains largely unknown. Thus, we evaluated the association of genetic variants with changes in mRNA expression levels (i.e. expression quantitative trait loci;eQTL) in blood after IS. Methods: RNA and DNA were isolated from blood samples collected from 137 IS patients and 138 vascular risk factor controls (VRFC). Gene expression of protein-coding transcripts was quantified by Affymetrix HTA 2.0 microarrays and SNP variants assessed by Axiom Biobank Genotyping microarrays. A linear model with a genotype (SNP)х diagnosis (IS or VRFC) interaction was fit for each SNP-gene pair to identify novel IS diagnosis-dependent eQTL. Results: Our trans- eQTL interaction analysis found 70 significant SNP-gene pairs (FDR<0.01). Our observations indicated that 24 mRNAs were associated with significant genotype х diagnosis interaction. Among these genes, two X-linked genes ANOS1 and POF1B were found. Expression of ANOS1 was significantly associated with SNPs rs148791848 and rs149957475. The SNP, rs950391, was significantly associated with expression of POF1B, a gene previously shown as sexually dimorphic in stroke. Interestingly, some of the eQTL SNPs affected multiple genes in trans that are known to be altered after IS. For example, X-linked SNP rs950391, altered expression of ABCA6, CLNK, EML6, POF1B, and WNT16. Conclusions: To our knowledge, this is the first whole-genome study to examine the effect of genotype х diagnosis on gene expression of blood after IS. Some SNP-gene pairs are X-linked and may account for aspects of sexual dimorphism in stroke. Our findings facilitate better understanding of trans effects of genetic variation on gene expression in stroke.
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