Citations

Background Extracellular DNA traps (ETs) have important implications in both thrombosis and thrombolysis. Thus, developing benchtop thrombus analogs that recapitulate clinical ETs is potentially of great value for preclinical development and testing of thrombolytic agents and thrombectomy devices. In this study, we aimed to develop ETs-rich thrombus analogs for preclinical testing. Methods Red blood cell (RBC)-rich, fibrin-rich, and platelet-rich thrombus analogs were created using human whole blood, platelet-poor plasma, and platelet-rich plasma obtained from the blood bank following institutional approval. Peripheral blood mononuclear cells (9.9×106 cells/mL) isolated from human whole blood and lipopolysaccharide (1 µg/mL) were added to induce ETs. Histochemical, immunohistochemistry and immunofluorescence were used to identify thrombus components and ETs. Scanning electronic microscopy was used to investigate the ultrastructure of the thrombus analogs. The thrombus compositions, morphologic features of ETs and citrullinated histone H3 (H3Cit) expression were compared with those of thrombi retrieved from patients by thrombectomy. Results ETs-rich thrombus analogs were more compacted th-an the ETs-poor thrombus analogs. ETs were identified in both ETs-rich thrombus analogs and patient thrombi showing morphologic features including nuclear lobulation, nuclear swelling, diffused chromatin within cytoplasm, DNA/chromatin extending intracellularly and extracellularly, and extracellular chromatin patches and bundles. In the ETs-poor thrombus analogs, ETs were not observed and H3Cit expression was absent to minimal. The compositions and H3Cit expression in the ETs-rich thrombus analogs fell in the range of patient thrombi. Conclusions ETs-rich thrombus analogs can be consistently created in vitro and may benefit the preclinical development and testing of new thrombolytic agents and thrombectomy devices.

Introduction: Mechanical thrombectomy (MT) has become the standard of care for acute ischemic stroke (AIS) patients due to large vessel occlusion (LVO). Clinical outcome of successful recanalization (mTICI 2b or higher) varies greatly and is associated with some baseline characteristics. Many studies have reported the relation of thrombus composition with MT outcomes however the association of thrombus composition with the prognosis of successful recanalization remains to be elucidated. Hypothesis: thrombi retrieved from patients with good clinical outcome may have different compositions compared to that of patients with poor clinical outcome. Methods: Thrombi retrieved from AIS-LVO patients with successful recanalization were included. Patients were divided according to modified Rankin Scale at 90 days (mRS-90days) into good clinical outcome (mRS-90days 0-2) and poor clinical outcome (mRS-90 days 3-6). Representative slide for each thrombus was stained with Martius Scarlet Blue (MSB) for red blood cells (RBCs), white blood cells (WBCs), fibrin (FIB), and platelet (PLT). Immunohistochemistry (IHC) was also performed for NETs (anti-citrullinated H3; CitH3) and vWF in thrombi. The overall mean value of each thrombus composition was calculated. Thrombus was considered rich in given composition if that composition was higher than its overall mean. We compared the thrombus composition and type between patients with good and poor clinical outcomes. Results: A total of 94 patients were included. Fifty-six patients had good clinical outcome. The overall average percentage of RBCs, WBCs, fibrin, platelet, NETs (CitH3), and vWF components in thrombi were 44.3%, 3.6%, 29.3%, 22.8%, 20.3% and 12.5% respectively. There was no association between thrombus type (including RBC-rich, FIB-rich, PLT-rich, vWF-rich, and NETs-rich) and clinical outcomes (P values>0.05). Multivariate logistic regression analysis showed no association between thrombus composition and clinical outcome (good vs poor) while adjusting for age, initial NIHSS score, ASPECT score, pre-MT IV-tPA, and MT technique and number of the device passes. Conclusion: we found no association between thrombus composition and clinical outcome after successful recanalization.

Introduction: Outcomes of mechanical thrombectomy (MT) are influenced by the composition of thrombi. Amongst the risk factors affecting clot composition, diabetes mellitus (DM) may be associated with more thrombus structural and mechanical alterations resulting in fibrinolysis-resistant thrombi. However, extensive analysis of the composition of thrombi obtained from patients is needed to elucidate this relationship. Hypothesis: Thrombi retrieved from patients with DM may have different compositions compared to that of patients with no history of DM. Methods: MT retrieved-thrombi from patients suffering from large vessel occlusion (LVO) stroke were included. Thrombi sections were stained with Martius Scarlet Blue (MSB) for main thrombus components including red blood cells (RBCs), white blood cells (WBCs), fibrin and platelet. Additionally, immunohistochemistry (IHC) was performed to identify neutrophil extracellular traps (NETs) (anti-citrulinated H3; CitH3; NETs-specific marker) and von Willebrand Factor (vWF) in thrombi. Slides were then scanned and analyzed and the thrombus composition was compared between patients with or without a DM diagnosis at the time of stroke presentation. Results: A total of 140 patients were included of which 35 had a diagnosis of DM at stroke presentation. Baseline characteristics (excluding age), IV-tPA use prior to MT, and MT outcomes (number of device passes and final mTICI score) were similar between DM and non DM patients. The overall average percentage of RBCs, WBCs, fibrin, platelet, NETs (CitH3), and vWF components in thrombi were 47.4%, 3.2%, 27.4%, 21.8%, 25.9% and 17.6%, respectively. Thrombi from patients with DM were not statistically significant different from those of patients with no DM in terms of RBCs (44.3 vs 48.4 p=0.37), WBCs (2.7 vs 3.3 p=0.05), fibrin (29.5 vs 26.7 p=0.37), platelet (23.3 vs 21.3 p=0.57), NETs (25.6 vs 22.3 p=0.54), and vWF (17.5 vs 17.7 p=0.96). Conclusion: DM has no effect on the composition of thrombi as no significant difference was found in thrombi obtained from patients with and without DM.

Introduction: Ample evidence exists in support of the anti-inflammatory properties of statins which in turn could affect arterial thrombosis. Compositional analysis of thrombi retrieved by MT may provide us with knowledge useful for evaluating the effect of current Statin therapy on thrombus composition. Methods: Consecutive AIS-LVO patients were included. Histopathological evaluation of thrombi retrieved during MT was performed using Martius Scarlet Blue staining (MSB) and immunohistochemistry for von Willebrand Factor (vWF) and anti-citrulinated H3 (CitH3; NETs marker) and the composition of thrombi was determined using image analysis software. Thrombus was considered rich in a given composition if that composition was higher than its overall mean. We reviewed patient’s medication records and cataloged any statin therapy prior to MT. Results: 117 patients were included in this study. The mean density of red blood cells (RBCs), white blood cells (WBCs), platelets (PLT), fibrin (FIB), vWF and NETs (CitH3) in thrombi was 43.4%, 3.7%, 23.6%, 29.3%, 14.3% and 21.1% respectively. Twenty-seven patients were taking Statins at the time of MT. Statins were not associated with pre-thrombectomy IV-tPA, and stroke etiology (p values: >0.05). There was no association between Statins and thrombi composition and type (p values: >0.05 for all thrombus components and type). Additionally, Statins were not associated with MT outcomes including number of device passes and final mTICI score. Conclusion: Pre-stroke Statin therapy was not associated with differences in thrombus composition.

Introduction: Selection criteria for endovascular thrombectomy (EVT) for emergent large-vessel occlusion (ELVO) stroke increasingly rely on CT perfusion (CTP) findings at presentation. While perfusion imaging is used to estimate the likelihood of deriving long-term functional benefit from EVT, there is comparatively little data on how perfusion deficits relate to domains of neurological function. Here, we investigated region-specific hypoperfusion as a driver of neurological dysfunction through correspondence between NIHSS items and CTP. Methods: We included 169 patients with ELVO presenting to Mayo Clinic Rochester or Jacksonville, who had baseline CTP and itemised NIHSS data. Perfusion was quantified as mean transit time using e-CTP (Brainomix Ltd., Oxford, UK) and thresholded to ≥5 s for lesion masking. Voxel-wise lesion-symptom mapping (VLSM) was performed using sparse canonical correlations analysis (Lesymap package, R). Results: Total NIHSS was most strongly predicted by left MCA territory hypoperfusion, corresponding to language-eloquent cortical areas and dominant hemisphere motor tracts (figure 1). Contralateral limb motor deficits (NIHSS 5 and 6) were mainly associated with subcortical and white matter hypoperfusion; there was an additional strong signal for left frontal cortex in language function (NIHSS 9). The remaining NIHSS items were less well localised. Conclusions: Expanding on previous pilot data, our results provide further evidence for the feasibility of hypoperfusion-to-symptom mapping in ELVO. This could allow for more nuanced clinical-imaging mismatch determination, and selection of patients based on specific neurological deficits that may be reversible.

Background & Purpose It has been hypothesized that circulating neutrophils have a direct correlation with the composition of emboli in acute ischemic stroke (AIS). The aim of this study is to evaluate the association between neutrophil-lymphocyte ratio (NLR) in peripheral blood and the expression of neutrophil extracellular traps (NETs) within stroke emboli. Methods Consecutive patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) that underwent mechanical thrombectomy (MT) were included. Patients were divided into two groups based on NLR median value. Retrieved thrombi were histologically analyzed using Martius Scarlett Blue (MSB) for main thrombus components including red blood cells (RBCs), white blood cells (WBCs), fibrin and platelet. Immunohistochemistry staining for von Willebrand Factor (vWF) and anti-citrullinated H3 (H3Cit; NETs marker) was also performed. Results Samples from a total of 84 patients were included. The average percentage of RBCs, WBCs, fibrin, platelet, H3Cit, and vWF components in thrombi were 45.1%, 3.5%, 21.8%, 29.6%, 19.7% and 14.8% respectively. When stratifying by NLR group [low (≤3.94) versus high (>3.95)], high NLR group had significantly more WBCs (4.5%), fibrin (24.2%), H3Cit (22.7%) and vWF (17.1%) thrombus fractions compared to low NLR group. Additionally, RBC content (38.8%) was lower in the high NLR group. Conclusions NLR is correlated with the amounts of WBCs, fibrin, NETs and vWF within the thrombi retrieved from AIS patients due to LVO.

Epilepsy as a common neurological disease is mostly managed effectively with antiepileptic medications. One-third of patients do not respond to medical treatments requiring alternative therapies. Vagus nerve stimulation (VNS) has been used in the last decades for the treatment of medically resistant epilepsy. Despite the extensive use of VNS in these patients, factors associated with clinical outcomes of VNS remain to be elucidated. In this study, we evaluated factors affecting VNS outcomes in epileptic patients to have a better understanding of patients who are better candidates for VNS therapy. Several databases including PubMed, Scopus, and Google Scholar were searched through June 2020 for relevant articles. The following factors were assessed in this review: previous surgical history, age at implantation and gender, types of epilepsy, duration of epilepsy, age at epilepsy onset, frequency of attacks, antiepileptic drugs, VNS parameters, EEG findings, MRI findings, and biomarkers. Literature data show that nonresponder rates range between 25% and 65%. Given the complexity and diversity of factors associated with response to VNS, more clinical studies are needed to establish better paradigm for selection of patients for VNS therapy.