André Kemmling

Dietary Cu stabilizes brain superoxide dismutase 1 activity and reduces amyloid Aβ production in APP23 transgenic mice

The Cu-binding β-amyloid precursor protein (APP), and the amyloid Aβ peptide have been proposed to play a role in physiological metal regulation. There is accumulating evidence of an unbalanced Cu homeostasis with a causative or diagnostic link to Alzheimers disease. Whereas elevated Cu levels are observed in APP knockout mice, APP overexpression results in reduced Cu in transgenic mouse brain. Moreover, Cu induces a decrease in Aβ levels in APP-transfected cells in vitro. To investigate the influence of bioavailable Cu, transgenic APP23 mice received an oral treatment with Cu-supplemented sucrose-sweetened drinking water (1). Chronic APP overexpression per se reduced superoxide dismutase 1 activity in transgenic mouse brain, which could be restored to normal levels after Cu treatment (2). A significant increase of brain Cu indicated its bioavailability on Cu treatment in APP23 mice, whereas Cu levels remained unaffected in littermate controls (3). Cu treatment lowered endogenous CNS Aβ before a detectable reduction of amyloid plaques. Thus, APP23 mice reveal APP-induced alterations linked to Cu homeostasis, which can be reversed by addition of dietary Cu.

Collateral vessels on CT angiography predict outcome in acute ischemic stroke.

Background and Purpose— Despite the abundance of emerging multimodal imaging techniques in the field of stroke, there is a paucity of data demonstrating a strong correlation between imaging findings and clinical outcome. This study explored how proximal arterial occlusions alter flow in collateral vessels and whether occlusion or extent of collaterals correlates with prehospital symptoms of fluctuation and worsening since onset or predict in-hospital worsening. Methods— Among 741 patients enrolled in a prospective cohort study involving CT angiographic imaging in acute stroke, 134 cases with proximal middle cerebral artery occlusion and 235 control subjects with no occlusions were identified. CT angiography was used to identify occlusions and grade the extent of collateral vessels in the sylvian fissure and leptomeningeal convexity. History of symptom fluctuation or progressive worsening was obtained on admission. Results— Prehospital symptoms were unrelated to occlusion or collateral status. In cases, 37.5% imaged within 1 hour were found to have diminished collaterals versus 12.1% imaged at 12 to 24 hours (P=0.047). No difference in worsening was seen between cases and control subjects with adequate collaterals, but cases with diminished sylvian and leptomeningeal collaterals experienced greater risk of worsening compared with control subjects measured either by admission to discharge National Institutes of Health Stroke Scale increase ≥1 (55.6% versus 16.6%, P=0.001) or ≥4 (44.4% versus 6.4%, P<0.001). Conclusion— Most patients with proximal middle cerebral artery occlusion rapidly recruit sufficient collaterals and follow a clinical course similar to patients with no occlusions, but a subset with diminished collaterals is at high risk for worsening.

Malignant CTA Collateral Profile Is Highly Specific for Large Admission DWI Infarct Core and Poor Outcome in Acute Stroke

“Malignant” stroke features include a large core (>100 ml), little penumbra, and no collateral circulation, and portray a poor outcome. These authors studied patients with proximal intracranial arterial occlusions and assessed infarct core size and collateral circulation as seen on CTA. After analyzing 197 such patients, they determined that those with poor collateral grades (absent collateral circulation) had larger infarct cores, large lesions on DWI, and a poor functional outcome. Additionally, patients with poor collaterals had higher NIHSS scores at admission. BACKGROUND AND PURPOSE: Large admission DWI lesion volumes are associated with poor outcomes despite acute stroke treatment. The primary aims of our study were to determine whether CTA collaterals correlate with admission DWI lesion volumes in patients with AIS with proximal occlusions, and whether a CTA collateral profile could identify large DWI volumes with high specificity. MATERIALS AND METHODS: We studied 197 patients with AIS with M1 and/or intracranial ICA occlusions. We segmented admission and follow-up DWI lesion volumes, and categorized CTA collaterals by using a 5-point CS system. ROC analysis was used to determine CS accuracy in predicting DWI lesion volumes >100 mL. Patients were dichotomized into 2 categories: CS = 0 (malignant profile) or CS>0. Univariate and multivariate analyses were performed to compare imaging and clinical variables between these 2 groups. RESULTS: There was a negative correlation between CS and admission DWI lesion volume (ρ = −0.54, P < .0001). ROC analysis revealed that CTA CS was a good discriminator of DWI lesion volume >100 mL (AUC = 0.84, P < .001). CS = 0 had 97.6% specificity and 54.5% sensitivity for DWI volume >100 mL. CS = 0 patients had larger mean admission DWI volumes (165.8 mL versus 32.7 mL, P < .001), higher median NIHSS scores (21 versus 15, P < .001), and were more likely to become functionally dependent at 3 months (95.5% versus 64.0%, P = .003). Admission NIHSS score was the only independent predictor of a malignant CS (P = .007). CONCLUSIONS: In patients with AIS with PAOs, CTA collaterals correlate with admission DWI infarct size. A malignant collateral profile is highly specific for large admission DWI lesion size and poor functional outcome.

Clinical relevance of specific T-cell activation in the blood and cerebrospinal fluid of patients with mild Alzheimer's disease

In Alzheimers disease, the contribution of inflammation is still controversially discussed. The aim of this study was to identify a particular immune profile in the peripheral blood (PB) and cerebrospinal fluid (CSF) in patients with mild Alzheimers disease (mAD) and mild cognitive impairment (MCI) and its potential functional relevance and association with neurodegeneration. A total of 88 patients with cognitive decline (54 mAD, 19 MCI, and 15 other dementias) were included in this study and compared with a group of younger (mean age, 31.3 years) and older (mean age, 68.9 years) healthy volunteers. Patients underwent detailed neurologic and neuropsychological examination, magnetic resonance imaging including voxel-based morphometry of gray matter, voxel-based diffusion tensor imaging, and white matter lesion volumetry, and PB and CSF analysis including multiparameter flow cytometry. Multiparameter flow cytometry revealed that proportions of activated HLA-DR positive CD4(+) and CD8(+) T-cells were slightly and significantly increased in the PB of MCI and mAD patients, respectively, when compared with healthy elderly controls but not in patients with other dementias. Although only a slight enhancement of the proportion of activated CD4(+) T-cells was observed in the CSF of both MCI and mAD patients, the proportion of activated CD8(+) T-cells was significantly increased in the CSF of mAD patients when compared with healthy elderly individuals. A slight increase in the proportion of activated CD8(+) T-cells was also observed in the intrathecal compartment of MCI patients. Activation of cytotoxic CD8(+) T-cells was considerably related to AD-typical neuropsychological deficits. Voxel-based regression analysis revealed a significant correlation between CD8(+) T-cell activation and microstructural tissue damage within parahippocampal areas as assessed by diffusion tensor imaging. Taken together, peripheral and intrathecal CD8(+) T-cell activation in mAD was significantly different from other dementias, suggesting a specific adaptive immune response. Lymphocyte activation seems to have a clinical impact because levels of activated CD8(+) T-cells were correlated with clinical and structural markers of AD pathology.

Prediction of Malignant Middle Cerebral Artery Infarction Using Computed Tomography-Based Intracranial Volume Reserve Measurements

Background and Purpose— Early decompressive surgery in patients with malignant middle cerebral artery (MCA) infarction improves outcome. Elevation of intracranial pressure depends on both the space occupying brain edema and the intracranial volume reserve (cerebrospinal fluid [CSF]). However, CSF volume was not investigated as a predictor of malignant infarction so far. We hypothesize that assessment of CSF volume in addition to admission infarct size improves early prediction of malignant MCA infarction. Methods— Stroke patients with carotid-T or MCA main stem occlusion and ischemic lesion (reduced cerebral blood volume [CBV]) on perfusion CT were considered for the analysis. The end point malignant MCA infarction was defined by clinical signs of herniation. Volumes of CSF and CBV lesion were determined on admission. Receiver-operator characteristics analysis was used to calculate predictive values for radiological and clinical measurements. Results— Of 52 patients included, 26 (50%) developed malignant MCA infarction. Age, a decreased level of consciousness on admission, CBV lesion volume, CSF volume, and the ratio of CBV lesion volume to CSF volume were significantly different between malignant and nonmalignant groups. The best predictor of a malignant course was the ratio of CBV lesion volume to CSF volume with a cut-off value of 0.92 (96.2% sensitivity, 96.2% specificity, 96.2% positive predictive value, and 96.2% negative predictive value). Conclusions— Based on admission native CT and perfusion CT measurements, the ratio of ischemic lesion volume to CSF volume predicts the development of malignant MCA infarction with higher accuracy than other known predictors, including ischemic lesion volume or clinical characteristics.

Continuous Positive Airway Pressure Ventilation for Acute Ischemic Stroke A Randomized Feasibility Study

Background and Purpose— Sleep-related breathing disorders occur frequently after stroke. We assessed the feasibility of continuous positive airway pressure (CPAP) treatment initiated in the first night after stroke. Methods— In this open-label, parallel-group trial, 50 patients were randomly assigned to the CPAP therapy or to the control group. All patients underwent polysomnography in the fourth night. Intervention patients received CPAP therapy for 3 nights starting the first night after stroke onset and for an additional 4 nights when polysomnography revealed an apnea–hypopnea index >10/hour. The primary end point was feasibility defined as apnea–hypopnea index reduction under CPAP treatment, nursing workload, and CPAP adherence. Results— The apnea–hypopnea index under CPAP treatment was significantly reduced (32.2±25.3–9.8±6.6, P=0.0001). Nursing workload did not significantly differ between the CPAP (n=25) and the control group (n=25; P=0.741). Ten patients (40.0%) had excellent CPAP use, 14 patients (56.0%) had some use, and 1 patient (4.0%) had no use. There was a trend toward greater National Institutes of Health Stroke Scale score improvement until Day 8 in patients on CPAP (2.00 versus 1.40, P=0.092) and a significantly greater National Institutes of Health Stroke Scale score improvement in patients with excellent CPAP use when compared with control patients (2.30 versus 1.40, P=0.022). Conclusions— CPAP therapy initiated in the first night after stroke seems to be feasible and was not associated with neurological deterioration. Clinical Trial Registration— URL: www.clinicaltrials.gov. Unique identifier: NCT00151177.

Predicting language improvement in acute stroke patients presenting with aphasia: a multivariate logistic model using location-weighted atlas-based analysis of admission CT perfusion scans.

BACKGROUND AND PURPOSE: Prediction of functional outcome immediately after stroke onset can guide optimal management. Most prognostic grading scales to date, however, have been based on established global metrics such as total NIHSS score, admission infarct volume, or intracranial occlusion on CTA. Our purpose was to construct a more focused, location-weighted multivariate model for the prediction of early aphasia improvement, based not only on traditional clinical and imaging parameters, but also on atlas-based structure/function correlation specific to the clinical deficit, using CT perfusion imaging. MATERIALS AND METHODS: Fifty-eight consecutive patients with aphasia due to first-time ischemic stroke of the left hemisphere were included. Language function was assessed on the basis of the patients admission and discharge NIHSS scores and clinical records. All patients had brain CTP and CTA within 9 hours of symptom onset. For image analysis, all CTPs were automatically coregistered to MNI-152 brain space and parcellated into mirrored cortical and subcortical regions. Multiple logistic regression analysis was used to find independent imaging and clinical predictors of language recovery. RESULTS: By the time of discharge, 21 (36%) patients demonstrated improvement of language. Independent factors predicting improvement in language included rCBF of the angular gyrus GM (BA 39) and the lower third of the insular ribbon, proximal cerebral artery occlusion on admission CTA, and aphasia score on the admission NIHSS examination. Using these 4 variables, we developed a multivariate logistic regression model that could estimate the probability of early improvement in aphasia and predict functional outcome with 91% accuracy. CONCLUSIONS: An imaging-based location-weighted multivariate model was developed to predict early language improvement of patients with aphasia by using admission data collected within 9 hours of stroke onset. This pilot model should be validated in a larger, prospective study; however, the semiautomated atlas-based analysis of brain CTP, along with the statistical approach, could be generalized for prediction of other outcome measures in patients with stroke.

Identification of the optimal cortical target point for extracranial–intracranial bypass surgery in patients with hemodynamic cerebrovascular insufficiency

OBJECT The objective of this report is to describe a new approach to identify the optimal cortical target point for extracranial-intracranial (EC-IC) bypass surgery, to reliably find suitable recipient vessels for the anastomosis. METHODS Thirty consecutive patients (17 men and 13 women; mean age 54.6 +/- 11.79 years [+/- standard deviation]) with hemodynamic cerebrovascular insufficiency due to stenoocclusive arterial disease underwent EC-IC bypass surgery. The end of the Sylvian fissure was identified preoperatively using a specially designed template and external landmarks. At surgery, a 3-cm trephination was made, centered over the target point as determined by the template. The number, diameter, and length of the exposed cortical arteries were assessed using photographs and indocyanine green (ICG) angiograms. RESULTS At least 1 recipient artery appropriate for anastomosis (>or= 1 mm) was found in every craniectomy. The mean number of suitable recipient arteries per craniotomy was 2.09 +/- 0.87, the mean diameter was 1.28 +/- 0.24 mm, and the mean length 10.83 +/- 4.87 mm. Bypass patency was confirmed by intraoperative ICG angiography, postoperative computed tomography angiography, and digital subtraction angiography, and reached 100%. CONCLUSIONS Performing a 3-cm craniectomy over the described target point, reliably allows access to suitable recipient arteries for EC-IC bypass surgery.

Possible mechanisms of APP-mediated oxidative stress in Alzheimer's disease

Oxidative stress was presented to play an important role in the pathogenesis of Alzheimers disease (AD), especially in the early evolution of AD amyloidogenesis and not only as a consequence thereof. The effect of oxidative stress catalysed by transition metals appears to have a critical relevance in AD. Metal-ion homeostasis is severely dysregulated in AD and it was found that experimentally induced disturbances in the homeostasis of Zn(II) and Cu(II) affect the amyloid precursor protein (APP) metabolism. APP itself binds Zn(II) and Cu(II) at nanomolar concentrations and an altered APP metabolism or expression level is believed to result in neurotoxic processes.

ANTONIA perfusion and stroke. A software tool for the multi-purpose analysis of MR perfusion-weighted datasets and quantitative ischemic stroke assessment.

OBJECTIVES The objective of this work is to present the software tool ANTONIA, which has been developed to facilitate a quantitative analysis of perfusion-weighted MRI (PWI) datasets in general as well as the subsequent multi-parametric analysis of additional datasets for the specific purpose of acute ischemic stroke patient dataset evaluation. METHODS Three different methods for the analysis of DSC or DCE PWI datasets are currently implemented in ANTONIA, which can be case-specifically selected based on the study protocol. These methods comprise a curve fitting method as well as a deconvolution-based and deconvolution-free method integrating a previously defined arterial input function. The perfusion analysis is extended for the purpose of acute ischemic stroke analysis by additional methods that enable an automatic atlas-based selection of the arterial input function, an analysis of the perfusion-diffusion and DWI-FLAIR mismatch as well as segmentation-based volumetric analyses. RESULTS For reliability evaluation, the described software tool was used by two observers for quantitative analysis of 15 datasets from acute ischemic stroke patients to extract the acute lesion core volume, FLAIR ratio, perfusion-diffusion mismatch volume with manually as well as automatically selected arterial input functions, and follow-up lesion volume. The results of this evaluation revealed that the described software tool leads to highly reproducible results for all parameters if the automatic arterial input function selection method is used. CONCLUSION Due to the broad selection of processing methods that are available in the software tool, ANTONIA is especially helpful to support image-based perfusion and acute ischemic stroke research projects.