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Our previous studies demonstrated that traumatic brain injury (TBI) and ventricular administration of thrombin caused hippocampal neuron loss and cognitive dysfunction via activation of Src family kinases (SFKs). Based on SFK localization in brain, we hypothesized SFK subtypes Fyn and c-Src, as well as SFK downstream molecule Rho-associated protein kinase (ROCK), contribute to cell death and cognitive dysfunction after TBI. We administered nanoparticle wrapped small interfering RNA (siRNA)-Fyn and siRNA-c-Src, or ROCK inhibitor Y-27632 to adult rats subjected to moderate lateral fluid percussion (LFP)-induced TBI. Spatial memory function was assessed from 12 to 16 days, and NeuN stained hippocampal neurons were assessed 16 days after TBI. The combination of siRNA-Fyn and siRNA-c-Src, but neither alone, prevented hippocampal neuron loss and spatial memory deficits after TBI. The ROCK inhibitor Y-27632 also prevented hippocampal neuronal loss and spatial memory deficits after TBI. The data suggest that the combined actions of three kinases (Fyn, c-Src, ROCK) mediate hippocampal neuronal cell death and spatial memory deficits produced by LFP-TBI, and that inhibiting this pathway prevents the TBI-induced cell death and memory deficits.

Objective: Identifying the molecular underpinnings associated with long-term functional outcome after ischemic stroke (IS) could guide search for treatments for improved outcome. Thus, we identified early peripheral immune gene expression (GE) responses associated with 90-day IS outcome, as measured by the Barthel Index (BI). Methods: RNA from 108 samples from three peripheral blood draws (≤3h – before thrombolytic treatment; 5h and 24h - post-treatment) from 36 CLEAR-trial subjects was analyzed on Affymetrix arrays. We performed Analysis of Covariance accounting for treatment (tPA or tPA+eptifibatide), hypercholesterolemia, hypertension, diabetes, age, sex and BI. Genes whose partial correlation with BI was significant ( P Results: There were 206, 865, and 209 genes that significantly correlated with 90-day BI at ≤3h, 5h and 24h post ictus , respectively. The gene lists at all three time-points were enriched in B-cell specific genes (hypergeometric probability pictus . Among the genes associated with the 90-day BI were genes important for stroke and repair after stroke, such as KCNG1 , Potassium voltage-gated channel subfamily G member 1, which like other potassium channels could modulate stroke outcome. KCNG1 expression was positively correlated with 90-day BI at ≤3h and 5h. TERML4 , implicated in inflammatory response and human coronary arterial calcification had expression that positively correlated with BI at all three time-points. Conclusion: The findings expand our understanding of the early molecular biology associated with long-term stroke outcome and may serve as potential targets to improve outcome.

Investigating the short and long-term signaling mechanisms via small extracellular vesicles (sEVs) in peripheral blood following human Ischemic Stroke (IS) and Intracerebral Hemorrhage (ICH) is of great interest. The sEV’s cargo can induce distant responses which can be used to derive potential novel therapeutic targets and biomarkers to differentiate the two brain pathologies. Thus, we sequenced the miRNA cargo derived from peripheral blood sEVs in IS (n=3), ICH (n=3), and Vascular Risk Factor-matched Control (VRFC; n=3) subjects. Subjects were divided into contrast groups (IS vs VRFC, ICH vs VRFC, ICH vs IS), and log2 transformed expression underwent Kruskal-Wallis tests to identify differentially expressed (DE; pFig. 1A ). The combination of these miRNAs differentiated the three groups on Principal Components Analysis ( Fig. 1B ). IS associated miRNA included miR-30a, miR-30b, and miR-144. miR-30a is involved in hematopoietic stem cell self-renewal and can impair B cell differentiation. miR-30b may be an immune suppressor via Notch1. In male mice, miR-144 is protective against atherosclerosis. ICH associated miRNA included miR-195, miR-1-3p, and miR-20b-5p. miR-195 can inhibit the pro-inflammatory roles of macrophages. miR-1-3p is involved in cardiomyocyte development, can target TLR1 (Toll-Like Receptor 1), and may regulate autophagy. miR-20b-5p reduces Amyloid Precursor Protein (APP) mRNA and protein levels; vascular accumulation of APP is one cause of Lobar ICH. We show differential expression of sEV-derived miRNAs in peripheral blood of human IS and ICH patients that are involved in relevant signaling processes. sEV cargo profiles pose a largely underexplored intercellular signaling mechanism in IS and ICH with the potential to better characterize long distance signaling from injured brain to peripheral blood leukocytes in these brain disorders.

Gene expression changes in peripheral leukocytes display distinctive profiles after intracerebral hemorrhage (ICH) and ischemic stroke (IS), differentiating both conditions at the molecular level. The breadth of data produced by high-throughput transcriptomic analyses can identify groups of genes and main gene expression drivers that have meaningful functional associations with the disease. This can help prioritize the investigation of key genes for diagnosis and treatment. Thus, we performed whole transcriptome analyses on ICH and IS samples and constructed gene networks from a genome-wide perspective. RNA-seq was performed on peripheral blood (WB) and isolated monocytes (MON) and neutrophils (NEU) (n=6 ICH, n=33 IS and n=9 vascular risk factors control (VRFC) subjects). Gene expression results were used to construct separate co-expression networks for all datasets analyzed (ICH + VRFCs, and IS + VRFCs, for MON, NEU and WB) using Weighted Gene Co-expression Network Analysis. Modules of genes significantly associated with ICH in the ICH + VRFCs network, and with IS in the IS + VRFCs network, were identified. The most highly interconnected genes in each of these modules were identified, representing hub genes that are potential master regulators. Functional annotation of the modules and hubs were done using gene ontology. From the significantly associated modules for ICH and IS in all sample types analyzed, there was little overlap in genes between diagnoses (≤2% in MON, ≤21 % in NEU and ≤16% in WB), and no overlap of ICH or IS hub genes from MON and NEU. In WB, ≤2% of the hubs were common to ICH and IS. It is plausible that these potential master regulators drive diagnosis-specific gene expression profiles. ICH hubs were associated with RNA splicing and mRNA processing (MON), cell adhesion (NEU) and NF-κβ signaling (WB). IS hubs were associated with cell migration (MON), T cell chemotaxis (NEU) and transcription factor activity (WB). In addition, most hubs in IS MON were noncoding RNA. The gene networks and their respective hub genes provide novel cell-specific pathophysiological insights and could represent potential key pharmacological targets and biomarkers.

Cerebral white matter hyperintensities are an important contributor to ageing brain pathology. Progression in white matter hyperintensity volume is associated with cognitive decline and gait impairment. Understanding the factors associated with white matter hyperintensity progression provides insight into pathogenesis and may identify novel treatment targets to improve cognitive health. We postulated that the immune system interaction with cerebral vessels and tissue may be associated with disease progression, and thus evaluated the relationship of blood leucocyte gene expression to progression of cerebral white matter hyperintensities. A brain MRI was obtained at baseline in 166 patients assessed for a cognitive complaint, and then repeated at regular intervals over a median of 5.9 years (interquartile range 3.5–8.2 years). White matter hyperintensity volumes were measured by semi-automated segmentation and percentage change in white matter hyperintensity per year calculated. A venous blood sample obtained at baseline was used to measure whole-genome expression by RNA sequencing. The relationship between change in white matter hyperintensity volumes over time and baseline leucocyte gene expression was analysed. The mean age was 77.8 (SD 7.5) years and 60.2% of participants were female. The median white matter hyperintensity volume was 13.4 ml (SD 17.4 ml). The mean change in white matter hyperintensity volume was 12% per year. Patients were divided in quartiles by percentage change in white matter hyperintensity volume, which was: −3.5% per year in quartile 1, 7.4% per year in quartile 2, 11.7% in quartile 3 and 33.6% per year in quartile 4. There were 148 genes associated with changing white matter hyperintensity volumes over time (P |0.2|). Genes and pathways identified have roles in endothelial dysfunction, extracellular matrix remodelling, altered remyelination, inflammation and response to ischaemia. ADAM8, CFD, EPHB4, FPR2, Wnt-B-catenin, focal adhesion kinase and SIGLEC1 were among the identified genes. The progression of white matter hyperintensity volumes over time is associated with genes involved in endothelial dysfunction, extracellular matrix remodelling, altered remyelination, inflammation and response to ischaemia. Further studies are needed to evaluate the role of peripheral inflammation in relation to rate of white matter hyperintensity progression and the contribution to cognitive decline.

Funding: This work was supported by grants from the Emergency Medicine Foundation Career Development Grant; AHA Mentored Clinical & Population Research Award (14CRP18860027); NIH/NINDS-R01-NS085419 (C.C., J.M.L.); NIH/NINDS-R37-NS107230, NIH/NINDS U24-NS107230 (J.M.L.); NIH/NINDS-K23-NS099487 (L.H.); NIH/NIA-K99-AG062723 (L.I.); Barnes-Jewish Hospital Foundation (J.M.L.); Biogen (C.C., J.M.L.); Bright Focus Foundation, US Department of Defense, Helsinki University Central Hospital; Finnish Medical Foundation; Finland government subsidiary funds; Spanish Ministry of Science and Innovation; Instituto de Salud Carlos III (grants ‘Registro BASICMAR’ Funding for Research in Health (PI051737), ‘GWALA project’ from Fondos de Investigación Sanitaria ISC III (PI10/02064, PI12/01238 and PI15/00451), JR18/00004); Fondos FEDER/EDRF Red de Investigación Cardiovascular (RD12/0042/0020); Fundació la Marató TV3; Genestroke Consortium (76/C/2011); Recercaixa’13 (JJ086116). Tomás Sobrino (CPII17/00027), Francisco Campos (CPII19/00020) and Israel Fernandez are supported by Miguel Servet II Program from Instituto de Salud Carlos III and Fondos FEDER. I.F. is also supported by Maestro project (PI18/01338) and Pre-test project (PMP15/00022) from Instituto de Salud Carlos III and Fondos Feder, Agaur; and Epigenesis project from Marató TV3 Foundation. J.C., J.M., A.D., J.M.-F., J.A. and I.F. are supported by Invictus plus Network (RD16/0019) from Instituto de Salud Carlos III and Fondos Feder. Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP-2013/07559-3) (I.L.-C.), Sigrid Juselius Foundation. The MEGASTROKE project received funding from sources specified at http://www.megastroke.org/acknowledgments.html. B.S., B.A. and F.S. are supported by NIH awards NS097000, NS101718, NS075035, NS079153 and NS106950. During the first hours after stroke onset, neurological deficits can be highly unstable: some patients rapidly improve, while others deteriorate. This early neurological instability has a major impact on long-term outcome. Here, we aimed to determine the genetic architecture of early neurological instability measured by the difference between the National Institutes of Health Stroke Scale (NIHSS) within 6h of stroke onset and NIHSS at 24h. A total of 5876 individuals from seven countries (Spain, Finland, Poland, USA, Costa Rica, Mexico and Korea) were studied using a multi-ancestry meta-analyses. We found that 8.7% of NIHSS at 24h of variance was explained by common genetic variations, and also that early neurological instability has a different genetic architecture from that of stroke risk. Eight loci (1p21.1, 1q42.2, 2p25.1, 2q31.2, 2q33.3, 5q33.2, 7p21.2 and 13q31.1) were genome-wide significant and explained 1.8% of the variability suggesting that additional variants influence early change in neurological deficits. We used functional genomics and bioinformatic annotation to identify the genes driving the association from each locus. Expression quantitative trait loci mapping and summary data-based Mendelian randomization indicate that ADAM23 (log Bayes factor = 5.41) was driving the association for 2q33.3. Gene-based analyses suggested that GRIA1 (log Bayes factor = 5.19), which is predominantly expressed in the brain, is the gene driving the association for the 5q33.2 locus. These analyses also nominated GNPAT (log Bayes factor = 7.64) ABCB5 (log Bayes factor = 5.97) for the 1p21.1 and 7p21.1 loci. Human brain single-nuclei RNA-sequencing indicates that the gene expression of ADAM23 and GRIA1 is enriched in neurons. ADAM23, a presynaptic protein and GRIA1, a protein subunit of the AMPA receptor, are part of a synaptic protein complex that modulates neuronal excitability. These data provide the first genetic evidence in humans that excitotoxicity may contribute to early neurological instability after acute ischaemic stroke. Postprint

This study identified early immune gene responses in peripheral blood associated with 90-day ischemic stroke (IS) outcomes and an early gene profile that predicted 90-day outcomes. Peripheral blood from the CLEAR trial IS patients was compared to vascular risk factor matched controls. Whole-transcriptome analyses identified genes and networks associated with 90-day IS outcome (NIHSS-NIH Stroke Scale, mRS-modified Rankin Scale). The expression of 467, 526, and 571 genes measured at ≤3, 5 and 24 hours after IS, respectively, were associated with poor 90-day mRS outcome (mRS=3-6), while 49, 100 and 35 associated with good mRS 90-day outcome (mRS=0-2). Poor outcomes were associated with up-regulatedMMP9,S100A12, interleukin-related and STAT3 pathways. Weighted Gene Co-Expression Network Analysis (WGCNA) revealed modules significantly associated with 90-day outcome. Poor outcome modules were enriched in down-regulated T cell and monocyte-specific genes plus up-regulated neutrophil genes and good outcome modules were associated with erythroblasts and megakaryocytes. Using the difference in gene expression between 3 and 24 hours, 10 genes correctly predicted 100% of patients with Good 90-day mRS outcome and 67% with Poor mRS outcome (AUC=0.88) in a validation set. The predictors includedAVPR1A, which mediates platelet aggregation, release of coagulation factors and exacerbates the brain inflammatory response; andKCNK1(TWIK-1), a member of a two-pore potassium channel family, which like other potassium channels likely modulates stroke outcomes. This study suggests the immune response after stroke impacts long-term functional outcomes. Furthermore, early post-stroke gene expression may predict stroke outcomes and outcome-associated genes could be targets for improving outcomes.

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 |0.6|). 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 p

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.

Objective: Prediction of the long-term outcome in Ischemic Stroke (IS) patients can have a significant impact on design of clinical trials and on patients’ care. We studied gene expression (GE) as a novel biomarker to provide an accurate prediction of 90-day outcome in IS patients. Methods: RNA from 72 samples from 2 peripheral blood draws (at ≤3 and 24 hrs post IS onset) was analyzed on Affymetrix U133 Plus 2.0 microarrays. These represented samples from 36 CLEAR trial IS patients that had blood drawn within 3 hrs of stroke onset and were then treated with tPA with or without eptifibatide. The samples were split into derivation (n=25) and validation (n=11) sets. We identified the differential GE in blood at 24 hrs and the difference in GE between 24 hrs and 3 hrs post IS that was associated with 90-day post stroke outcome using the model: GE = μ + NIHSS_24hr+mRS_90day+ ε. Good outcome was defined as mRS 0-2; Poor - as mRS 3-5. Logistic regression was used to derive a biomarker classifier. Results: Using 24 hrs GE, we identified 14 probesets (12 genes) with the highest discriminative power for predicting outcome. The model achieved recall (the probability of correctly identifying the patients with Good outcome) of 0.88 and specificity (the probability of correctly identifying the patients with Poor outcome) of 0.67 in the validation set (The AUC-ROC = 0.88). The biomarker genes were enriched in immune responses such as IL and cytokine signaling. Among the predictors were genes important for stroke and repair after stroke (e.g., MACC1 , GDF11 ). MACC1 has been considered as a potential treatment target for IS with a protective role in hypoxia-induced human brain microvascular endothelial cells. GDF11 plays a role in brain repair after IS. We also determined how the change of GE from 3 hrs to 24 hrs would predict the 90-day outcome. A panel of ten genes was able to predict outcome in the validation set (recall= 1, specificity = 0.67, AUC-ROC=0.88). These included AVPR1A , which mediates platelet aggregation and release of coagulation factors and exacerbates brain inflammatory response to injury. Conclusion: This pilot study suggests gene expression can be used to predict stroke outcome. Some of the genes may serve as potential therapeutic targets.

Sex differences in immune and inflammatory pathways have been shown in health and disease. However, little research has been done on sex differences following human Intracerebral Hemorrhage (ICH). We sought to unveil transcriptome differences in blood between Male (M) and Female (F) ICH responses. We evaluated 33 ICH patients and 33 vascular risk factor matched controls (VRFC), 9F and 24M each. Peripheral blood expression of 21,175 genes was analyzed at the co-expression network level with WGCNA - separate F (F-ICH and F-VRFC) and M (M-ICH and M-VRFC) networks generated; and per gene level (ANCOVA: Age, Time, and Sex*Dx (Diagnosis)). Five F (F-6, F-20, F-21, F-19, F-5) and 2 M (M-32, M-26) WGCNA modules were significant to Dx (p < 0.05) (Fig 1A). 105 genes were significant for the direct comparison (F-ICH vs M-ICH p < 0.05, |FC| > 1.2; Sex*Dx FDR < 0.2), which separated Sex*Dx groups (Fig 1B). 1,425 genes were differentially expressed in F-ICH (F-ICH vs F-VRFC p < 0.05, |FC| > 1.2; Sex*Dx FDR < 0.2) and 421 in M-ICH (M-ICH vs M-VRFC p < 0.05, |FC| > 1.2; Sex*Dx FDR < 0.2) (Fig 1C). F-ICH response was enriched in Monocyte and T Cell Specific genes and M-ICH in B Cell and Erythroblast specific genes; both were enriched in Neutrophil specific genes (Fig 1A). Overall, F modules and gene lists were significantly enriched in 236 GO terms (FDR < 0.1) and M modules in 55; 20 were common (Fig 1D). The ICH response unique to F-ICH included Inflammatory Response, T Cell Activation, Autophagy, Apoptotic Process, and RNA Splicing. M-ICH unique included B Cell Receptor Signaling, Immunoglobulin Receptor Binding, Antigen Binding, Complement Activation, and Receptor Mediated Endocytosis. Common responses included Innate Immune Response, Blood Coagulation, and Fc-ã Receptor Signaling Involved in Phagocytosis (Fig 1E). We found sex differences in ICH transcriptome responses in human peripheral blood. These implicate specific cell types in each sex that could represent novel sex-specific treatment targets.

Gene expression changes in peripheral blood reflect injury and repair processes occurring post ischemic stroke (IS). Our study explored the dynamic time-dependent expression of key genes involved in the immune response after IS to better understand the biology and to identify specific diagnostic biomarkers. Using RNA-sequencing, we analyzed gene expression profiles of 38 IS patients and 18 controls with at least one vascular risk factor (VRFC) including diabetes and/or hypertension and/or hypercholesterolemia in isolated monocytes, neutrophils and whole blood. We used two approaches: Weighted Gene Co-expression Network Analysis (WGCNA) with respect to time after stroke onset; and differential expression analyses with subject samples split into time points (TPs) from stroke onset (TP0=VRFC; TP1=0-24 h; TP2=24-48 h; and TP3≥48 h). In WGCNA, highly interconnected “hub” genes were identified for modules significant to time (p

Background and Purpose— Comorbid cancer is common in patients with acute ischemic stroke (AIS). As blood mRNA profiles can distinguish AIS mechanisms, we hypothesized that cancer-related AIS would have a distinctive gene expression profile. Methods— We evaluated 4 groups of 10 subjects prospectively enrolled at 3 centers from 2009 to 2018. This included the group of interest with active solid tumor cancer and AIS and 3 control groups with active cancer only, AIS only, or vascular risk factors only. Subjects in the AIS-only and cancer-only groups were matched to subjects in the cancer-stroke group by age, sex, and cancer type (if applicable). Subjects in the vascular risk factor group were matched to subjects in the cancer-stroke and stroke-only groups by age, sex, and vascular risk factors. Blood was drawn 72 to 120 hours after stroke. Total RNA was processed using 3′ mRNA sequencing. ANOVA and Fisher least significant difference contrast methods were used to estimate differential gene expression between groups. Results— In the cancer-stroke group, 50% of strokes were cryptogenic. All groups had differentially expressed genes that could distinguish among them. Comparing the cancer-stroke group to the stroke-only group and after accounting for cancer-only genes, 438 genes were differentially expressed, including upregulation of multiple genes/pathways implicated in autophagy signaling, immunity/inflammation, and gene regulation, including IL (interleukin)-1, interferon, relaxin, mammalian target of rapamycin signaling, SQSTMI1 (sequestosome-1), and CREB1 (cAMP response element binding protein-1). Conclusions— This study provides evidence for a distinctive molecular signature in blood mRNA expression profiles of patients with cancer-related AIS. Future studies should evaluate whether blood mRNA can predict detection of occult cancer in patients with AIS. Clinical Trial Registration— URL: https://clinicaltrials.gov . Unique identifier: NCT02604667.

Background Though there are many biomarker studies of plasma and serum in patients with aneurysmal subarachnoid hemorrhage (SAH), few have examined blood cells that might contribute to vasospasm. In this study, we evaluated inflammatory and prothrombotic pathways by examining mRNA expression in whole blood of SAH patients with and without vasospasm. Methods Adult SAH patients with vasospasm (n = 29) and without vasospasm (n = 21) were matched for sex, race/ethnicity, and aneurysm treatment method. Diagnosis of vasospasm was made by angiography. mRNA expression was measured by Affymetrix Human Exon 1.0 ST Arrays. SAH patients with vasospasm were compared to those without vasospasm by ANCOVA to identify differential gene, exon, and alternatively spliced transcript expression. Analyses were adjusted for age, batch, and time of blood draw after SAH. Results At the gene level, there were 259 differentially expressed genes between SAH patients with vasospasm compared to patients without (false discovery rate P α/RXRα, and calcium. Genes predicted to be alternatively spliced included IL23A, RSU1, PAQR6, and TRIP6. Conclusions This is the first study to demonstrate that mRNA expression in whole blood distinguishes SAH patients with vasospasm from those without vasospasm and supports a role of coagulation and immune systems in vasospasm.

Author(s): Cheng, Xiyuan; Ferino, Eva; Hull, Heather; Jickling, Glen C; Ander, Bradley P; Stamova, Boryana; Sharp, Frank R | Abstract: ObjectiveThough 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.MethodsWe 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.ResultsOne 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 (Pnln0.01; |fold change|n≥n1.2). 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.InterpretationWe 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.

Previous studies showed changes in mRNA levels in whole blood of rats and humans, and in miRNA in whole blood of rats following intracerebral hemorrhage (ICH). Thus, this study assessed miRNA and their putative mRNA targets in whole blood of humans following ICH. Whole transcriptome profiling identified altered miRNA and mRNA levels in ICH patients compared to matched controls. Target mRNAs of the differentially expressed miRNAs were identified, and functional analysis of the miRNA-mRNA targets was performed. Twenty-nine miRNAs (22 down, 7 up) and 250 target mRNAs (136 up, 114 down), and 7 small nucleolar RNA changed expression after ICH compared to controls (FDR

Supplemental information from the publication: Distinct peripheral blood monocyte and neutrophil transcriptional programs following intracerebral hemorrhage and different etiologies of ischemic stroke https://doi.org/10.1177/0271678X20953912 Abstract 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.

Background and Purpose: With advancing age, alterations occur to the immune system, including an increase in inflammation (inflammaging) and a reduced ability to respond to new immune challenges. The role of an aging immune system in patients with ischemic stroke remains unclear, although age is an important determinant of stroke risk and outcome. This study assessed the aging immune system in patients with acute ischemic stroke by differences in leukocyte gene expression in relationship to age. Methods: Peripheral blood RNA from 2 cohorts with acute ischemic stroke was measured by whole-genome microarray, and genes associated with advancing age were identified (false discovery rate-corrected P Results: There were 166 genes associated with age in cohort 1 (derivation cohort, n=94). Sixty-nine of these age-associated genes were verified in cohort 2 (validation cohort, n=79). Identified genes included a decrease in CR2 , CD27 , CCR7 , and NT5E . Genes were associated with altered B-cell receptor signaling, lymphocyte proliferation, and leukocyte homeostasis. Forty-three of the 69 age-associated genes in stroke were also associated with age in nonstroke studies. Conclusions: A relationship between leukocyte gene expression and age in patients with ischemic stroke was identified. The changes include alterations to the adaptive humoral immune system, which may influence age-related stroke risk and outcome.

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.

Introduction: Inflammation and infection are associated with cerebrovascular diseases including stroke due to carotid atherosclerotic plaques. C-reactive protein (CRP), an acute-phase protein, is upregulated in the plasma of patients with carotid atherosclerotic plaques. However, little is known about whether bacterial molecules trigger inflammation or play a role in patients with carotid atherosclerotic plaques. Recently, it has been recognized that inflammation associated with atherosclerosis and morbidity and mortality in cardiovascular diseases may be due to lipopolysaccharide (LPS) that is found in the outer wall of all Gram-negative bacteria. These findings prompted this study to explore whether plasma levels of LPS and LPS-binding protein (LBP) are elevated and correlated with CRP levels in patients with asymptomatic carotid plaques (ACP). We also compared LBP levels in patients with ACP to large vessel (LV) strokes due to carotid plaques and to matched controls. Methods: Patients (n = 30) with ACP, LV stroke due to carotid atherosclerosis and age-, sex- matched healthy controls gave consent and had their blood drawn. Plasma was processed for LPS, LBP and CRP detection using separate ELISA for each. Results: Plasma LBP level in ACP (22.7 ± 2.92 μg/ml) was similar to LV stroke (21.6 ± 1.56 μg/ml, p = 0.74, ACP vs LV) but greater than controls (13.6 ± 1.43 μg/ml, p = 0.011, ACP vs controls). In ACP patients, plasma LPS level (159.5 ± 30.5 μg/ml) was greater than controls (42.6 ± 11.7 μg/ml, p = 0.001); plasma CRP levels (20.2 ± 6.2 μg/ml) was higher than controls (5.3 ± 2.1 μg/ml, p = 0.011). There was a positive correlation between LPS levels and LBP levels (r = 0.86, p < 0.00001), LPS levels and CRP levels (r = 0.82, p = 0.00001), and LBP levels and CRP levels (r = 0.89, p < 0.00001) in ACP cases. Conclusions: Plasma LPS, LBP and CRP associate with asymptomatic carotid plaques suggesting a pro-inflammatory state exists in patients with asymptomatic carotid plaques, a cause of large vessel stroke. LPS is postulated to directly upregulate both CRP and LBP. Elevated LBP in large vessel stroke patients suggests a Gram-negative bacteria associated post-stroke inflammatory state.

Background: Advancing age is associated with changes to the immune system, which affect stroke outcome. We previously demonstrated an age-associated alteration in leukocyte gene expression in patients with ischemic stroke. The aim of this study is to validate these findings in an independent stroke cohort and assess the relationship to stroke outcome. Methods: Genes associated with age were identified in a cohort of 57 patients with acute ischemic stroke. Peripheral blood RNA was measured using whole genome microarrays and genes associated with advancing age identified (FDR-corrected p < 0.05, partial correlation coefficient r > |0.3|); age-associated gene expression differences in patients with poor 90-day outcome (mRS < 2) were also compared. Genes were functionally characterized by pathway and enrichment analysis and verified against age-associated genes from two additional stroke cohorts containing a total of 173 patients. Results: There were 536 genes associated with age in the new stroke cohort, of which 286 decreased and 253 increased with age. Thirty-nine (39) of the age-associated genes were present in previous stroke cohorts analyzed, including a decrease in CCR6, CXCR5, BLNK and NT5E. A decrease in CXCR5 and CD79B was also identified in patients with poor outcome. Pathways and enriched terms relating to the humoral adaptive system immune system, including B-cell and lymphocyte activation, were among those represented in age-associated genes. Conclusions: Age-related changes in leukocyte gene expression were validated in an independent cohort of patients with ischemic stroke. Verified changes include alterations to the humoral immune system and a relationship to stroke outcome. Further investigation of the aging immune system in stroke is warranted.

Introduction: One-tenth of patients with stroke have cancer. We previously identified mRNA profiles differentiating patients with stroke and cancer, stroke only, and cancer only. In this study, we investigated mRNA and microRNA (miRNA) transcriptomes to identify potential miRNA regulators that underlie the observed mRNA changes. Methods: We prospectively enrolled 4 groups of subjects at 3 centers from 2009-2020. This analysis included 41 subjects with ischemic stroke plus cancer, 42 subjects with ischemic stroke only, 28 subjects with cancer only, and 30 vascular risk factor controls. Stroke-only and cancer-only subjects were matched to stroke-plus-cancer subjects by age, sex, and cancer type. We performed miRNA and mRNA sequencing on blood drawn 72-120 hours after stroke. ANCOVA estimated differential expression of miRNA and mRNA between groups (FDR p1.2). Analyses were adjusted for time from stroke onset, sex, age, vascular risk factors and batch. Results: We identified differential expression in 36 miRNA and 264 corresponding mRNA targets between the stroke-plus-cancer and stroke-only groups after accounting for cancer-only expression (Fig 1). Immune and coagulation pathways, including complement, platelet glycoproteins, TGF-β, and mTOR signaling, were overrepresented in stroke-plus-cancer vs stroke-only subjects. T cell, B cell and platelet precursor-specific genes were also overrepresented in stroke-plus-cancer subjects. When compared to other groups, stroke-plus-cancer subjects had 230 unique mRNA encoding for transcriptional regulators, including those involving splicing, epigenetics, and mediator complex genes bridging transcription factors and RNA transcriptional machinery. Conclusion: Patients with stroke and cancer had distinct signatures of miRNA and target mRNA compared to stroke patients without cancer, supporting the hypothesis that cancer-related stroke is a unique subgroup of ischemic stroke.

Introduction: After ischemic stroke (IS), peripheral leukocytes infiltrate the damaged region and modulate the response to injury. We previously showed that peripheral blood cells display different gene expression profiles after IS and these transcriptional programs reflect the changes in immune processes in response to IS. Dissecting the temporal dynamics of gene expression after IS improves our understanding of the changes of molecular and cellular pathways involved in acute brain injury. Methods: We analyzed the transcriptomic profiles of 33 IS patients in isolated monocytes, neutrophils and whole blood. RNA-sequencing was performed on all the stroke samples as well as 12 controls with vascular risk factors (diabetes and/or hypertension and/or hypercholesterolemia). To identify differentially expressed genes, subjects were split into time points (TPs) from stroke onset (TP1= 0-24 h; TP2= 24-48 h; and TP3= > 48 h), and controls were assigned TP0. A linear regression model including time and the interaction of diagnosis x TP with cutoff of p|1.2| was used. Time dependent changes were analyzed using artificial neural networks to identify clusters of genes that behave in a similar way across TPs. Results: Unique patterns of temporal expression were distinguished for the three sample types. These include genes not expressed in TP0 that peak only within the first 24 h, others that peak or decrease in TP2 and TP3, and more complex patterns. Genes that peak at TP1 in monocytes and neutrophils are related to cell adhesion and leukocyte differentiation/migration, respectively. Early peaks in whole blood occur in genes related to transcriptional regulation. In monocytes, interleukin pathways are enriched across all TPs, whereas there is a trend of suppression after 24 h in neutrophils. The inflammasome pathway is enriched in the earlier TPs in neutrophils, while not enriched in monocytes until over 48 hours. Conclusion: Our analyses on gene expression dynamics and cluster patterns allow identification of key genes and pathways at different time points following ischemic injury that are valuable as IS biomarkers and may be possible treatment targets.

Objective: Ischemic stroke (IS) is sexually dimorphic for risk factors, age, heritability, causes, treatment, and outcome. We identified transcriptional correlates with 90-day outcome that differed between male and female IS subjects. Methods: RNA from 72 samples from 2 peripheral blood draws (at ≤3 and 24h post IS onset) was analyzed on Affymetrix U133 Plus 2 microarrays. These represented samples from 36 CLEAR trial IS patients treated with tPA with or without eptifibatide after the first blood sample within 3 hours of stroke onset. Changes in gene expression levels (deltaGE) between 3h and 24h were calculated and the association with percent NIH Stroke Scale (NIHSS) improvement from 3h to 90 days (% Improvement) examined. We used mixed-effects linear regression, including Treatment, Age, Sex, Vascular Risk Factors, 3h NIHSS, % Improvement, and a Sex * % Improvement interaction. Sex differences in association of gene expression with % Improvement were determined by examining the Sex * % Improvement interaction term, p Results: 577 genes correlated differently with % Improvement in IS males and females. These included matrix metalloproteinases (MMPs), which play a major role in BBB dysfunction and outcomes post IS. MMP11 , MMP14 and MM17 correlated with % Improvement in opposite direction in males and females. Inflammatory genes like IL-27 , implicated in infarct volume and stroke outcome, and ABC transporters ( ABCC9 ) also had opposite correlation with % Improvement in males and females. Calmodulin 1 ( CAML1 ) was also sexually dimorphic, and a SNP in CALM1 has been implicated in IS risk and blood coagulation in female IS patients. EIF2 signaling, a major protein synthesis pathway was activated in males (adj. p = 1e-8), while suppressed in females (adj. p value = 1e-9). Protein synthesis and associated unfolded protein response cascade have previously been implicated in stroke outcome. Conclusions: The identified sexually dimorphic gene expression associated with 90-day improvement might relate to sex differences in blood immune and clotting pathways. The findings expand our understanding of the genomic underpinnings associated with stroke outcome and may serve as potential sex-specific treatment targets.

During the first hours after stroke onset neurological deficits can be highly unstable: some patients rapidly improve, while others deteriorate. This early neurological instability has a major impact on long-term outcome. Here, we aimed to determine the genetic architecture of early neurological instability measured by the difference between NIH stroke scale (NIHSS) within six hours of stroke onset and NIHSS at 24h (ΔNIHSS). A total of 5,876 individuals from seven countries (Spain, Finland, Poland, United States, Costa Rica, Mexico and Korea) were studied using a multi-ancestry meta-analyses. We found that 8.7% of ΔNIHSS variance was explained by common genetic variations, and also that early neurological instability has a different genetic architecture than that of stroke risk. Seven loci (2p25.1, 2q31.2, 2q33.3, 4q34.3, 5q33.2, 6q26 and 7p21.1) were genome-wide significant and explained 2.1% of the variability suggesting that additional variants influence early change in neurological deficits. We used functional genomics and bioinformatic annotation to identify the genes driving the association from each loci. eQTL mapping and SMR indicate that ADAM23 (log Bayes Factor (LBF)=6.34) was driving the association for 2q33.3. Gene based analyses suggested that GRIA1 (LBF=5.26), which is predominantly expressed in brain, is the gene driving the association for the 5q33.2 locus. These analyses also nominated PARK2 (LBF=5.30) and ABCB5 (LBF=5.70) for the 6q26 and 7p21.1 loci. Human brain single nuclei RNA-seq indicates that the gene expression of ADAM23 and GRIA1 is enriched in neurons. ADAM23, a pre-synaptic protein, and GRIA1, a protein subunit of the AMPA receptor, are part of a synaptic protein complex that modulates neuronal excitability. These data provides the first evidence in humans that excitotoxicity may contribute to early neurological instability after acute ischemic stroke.RESEARCH INTO CONTEXTEvidence before this studyNo previous genome-wide association studies have investigated the genetic architecture of early outcomes after ischemic stroke.Added Value of this studyThis is the first study that investigated genetic influences on early outcomes after ischemic stroke using a genome-wide approach, revealing seven genome-wide significant loci. A unique aspect of this genetic study is the inclusion of all of the major ethnicities by recruiting from participants throughout the world. Most genetic studies to date have been limited to populations of European ancestry.Implications of all available evidenceThe findings provide the first evidence that genes implicating excitotoxicity contribute to human acute ischemic stroke, and demonstrates proof of principle that GWAS of acute ischemic stroke patients can reveal mechanisms involved in ischemic brain injury.

Author(s): Amini, Hajar; Shroff, Natasha; Stamova, Boryana; Ferino, Eva; Carmona-Mora, Paulina; Zhan, Xinhua; Sitorus, Preston P; Hull, Heather; Jickling, Glen C; Sharp, Frank R; Ander, Bradley P | Abstract: ObjectiveSingle 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.MethodsRNA 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.ResultsThe eQTL interaction analysis revealed significant genotypen×ndiagnosis 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.InterpretationThis 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.

The histone deacetylase 9 (HDAC9) polymorphism rs2107595 is associated with an increased risk for large vessel atherosclerotic stroke (LVAS). In humans, there remains a need to better understand this HDAC9 polymorphism's contribution to large vessel stroke. In this pilot study, we evaluated whether the HDAC9 polymorphism rs2107595 is associated with differences in leukocyte gene expression in patients with LVAS. HDAC9 SNP rs2107595 was genotyped in 155 patients (43 LVAS and 112 vascular risk factor controls). RNA isolated from blood was processed on whole genome microarrays. Gene expression was compared between HDAC9 risk allele-positive and risk allele-negative LVAS patients and controls. Functional analysis identified canonical pathways and molecular functions associated with rs2107595 in LVAS. In HDAC9 SNP rs2107595 risk allele-positive LVAS patients, there were 155 genes differentially expressed compared to risk allele-negative patients (fold change > |1.2|, p

Understanding how the blood transcriptome of human intracerebral hemorrhage (ICH) differs from ischemic stroke (IS) and matched controls (CTRL) will improve understanding of immune and coagulation pathways in both disorders. This study examined RNA from 99 human whole-blood samples using GeneChip® HTA 2.0 arrays to assess differentially expressed transcripts of alternatively spliced genes between ICH, IS and CTRL. We used a mixed regression model with FDR-corrected p(Dx) 1.2 for individual comparisons. For time-dependent analyses, subjects were divided into four time-points: 0(CTRL), 48 h; 489 transcripts were differentially expressed between ICH and CTRL, and 63 between IS and CTRL. ICH had differentially expressed T-cell receptor and CD36 genes, and iNOS, TLR, macrophage, and T-helper pathways. IS had more non-coding RNA. ICH and IS both had angiogenesis, CTLA4 in T lymphocytes, CD28 in T helper cells, NFAT regulation of immune response, and glucocorticoid receptor signaling pathways. Self-organizing maps revealed 4357 transcripts changing expression over time in ICH, and 1136 in IS. Understanding ICH and IS transcriptomes will be useful for biomarker development, treatment and prevention strategies, and for evaluating how well animal models recapitulate human ICH and IS.

Our previous study demonstrated caspase independent DNA fragmentation after very brief cerebral ischemia, the mechanism of which was unclear. In this study, we explore whether actin is cleaved following focal cerebral ischemia, and whether these structural changes of actin might modulate DNA fragmentation observed following focal ischemia. Results showed that a cleaved β-actin fragment was identified in brains of rats 24 hours following 10-minute and 2-hour focal ischemia. Though granzyme B and caspase-3 cleaved β-actin in vitro, the fragment size of β-actin cleaved by granzyme B was the same as those found after 10-minute and 2-hour focal ischemia. This was consistent with increases of granzyme B activity after 10-minute and 2-hour ischemia compared with controls. Cerebral extracts from 10-minute and 2-hour ischemic brains degraded DNA in vitro. Adding intact β-actin to these samples completely abolished DNA degradation from the 10-minute ischemia group but not from the 2-hour ischemia group. We concluded that β-actin is likely cleaved by granzyme B by 24 hours following 10-minute and 2-hour focal cerebral ischemia. Intact β-actin inhibits DNase, and cleavage of β-actin activates DNase, which leads to DNA fragmentation observed in the brain following very brief focal ischemia.

Acute ischemic stroke affects over 800,000 US adults annually, with hundreds of thousands more experiencing a transient ischemic attack. Emergent evaluation, prompt acute treatment, and identification of stroke or TIA (transient ischemic attack) etiology for specific secondary prevention are critical for decreasing further morbidity and mortality of cerebrovascular disease. The Biomarkers of Acute Stroke Etiology (BASE) study is a multicenter observational study to identify serum markers defining the etiology of acute ischemic stroke. Observational trial of patients presenting to the hospital within 24h of stroke onset. Blood samples are collected at arrival, 24, and 48h later, and RNA gene expression is utilized to identify stroke etiology marker candidates. The BASE study began January 2014. At the time of writing, there are 22 recruiting sites. Enrollment is ongoing, expected to hit 1000 patients by March 2017. The BASE study could potentially aid in focusing the initial diagnostic evaluation to determine stroke etiology, with more rapidly initiated targeted evaluations and secondary prevention strategies.Clinical Trial Registration Clinicaltrials.gov NCT02014896 https://clinicaltrials.gov/ct2/show/NCT02014896?term=biomarkers+of+acute+stroke+etiology&rank=1.

Aneurysmal intraventricular hemorrhage (IVH) survivors may recover with significant deficits in learning and memory. The goal of this study was to investigate the mechanism of memory decline after intraventricular aneurysm rupture. We developed an aneurysmal IVH rat model by injecting autologous, arterial blood over the period of two minutes into the right lateral ventricle. We also evaluated the effects of a volume-matched artificial cerebrospinal fluid (CSF) control, thrombin and the mode of delivery (pulsed hand injection versus continuous pump infusion). We performed magnetic resonance brain imaging after 1 and 5weeks to evaluate for hydrocephalus and histological analysis of the dentate gyrus after 6weeks. Only animals which underwent a whole blood pulsed hand injection had a spatial memory acquisition and retention deficit 5weeks later. These animals had larger ventricles at 1 and 5weeks than animals which underwent a continuous pump infusion of whole blood. We did not find a decline in dentate gyrus granule cell neurons or an impairment in dentate gyrus neurogenesis or differentiation 6weeks after IVH. Rapid injections of blood or volume resulted in microglial activation in the dentate gyrus. In conclusion, our results point to mechanical injury as the predominant mechanism of memory decline after intraventricular aneurysmal rupture. However, volume-matched pulsed injections of artificial CSF did not create a spatial memory deficit at 5weeks. Therefore, whole blood itself must play a role in the mechanism. Further research is required to evaluate whether the viscosity of blood causes additional mechanical disruption and hydrocephalus through a primary injury mechanism or whether the toxicity of blood causes a secondary injury mechanism that leads to the observed spatial memory deficit after 5weeks.