58 research outputs found

    Hyperacute Incidental Late Myocardial Enhancement in Ischemic Stroke Using Chest Spectral CT: Relationship with Etiology

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    Background: Hyperacute cardiac imaging of patients with acute ischemic stroke (AIS), though desirable, is impractical. Using delayed-enhancement, low-dose, non-gated, chest spectral computed tomography scans (DESCT), we explored the prevalence and patterns of incidental myocardial late iodine enhancement (LIE) and embolic sources, and their relationship with stroke etiology. Methods: Since July 2020, DESCT was performed after cerebrovascular CT angiography (CTA) among patients with suspected AIS undergoing CT using a dual-layer spectral scanner, without additional contrast administration. Images were analyzed using monoenergetic reconstructions and iodine density maps, and the myocardial extracellular volume fraction (ECV, %) was calculated. Results: Eighty patients with AIS were included. DESCT identified a cardiac thrombi in 6 patients (7.5%), and a complex aortic plaque in 4 (5%) cases; reclassifying 5 embolic strokes of uncertain source (28% of ESUS) to cardioembolic (CE, n = 3) and non-CE (n = 2) etiologies. LIE was identified in 38 (48%) patients, most commonly (82%) of ischemic pattern. We did not identify significant relationships between AIS etiology and the presence, pattern, and extent of LIE (p > 0.05); ECV (p = 0.56), severe aortic (p = 0.25) or valvular (p = 0.26) disease, or the extent of coronary calcification (p = 0.39). Patients with evidence of major cardiovascular DESCT findings had higher rates of all-cause death at 90 days (42% vs. 19%, p = 0.037). Conclusions: In this study, hyperacute cardiac imaging of AIS with DESCT identified a high prevalence of incidental cardiac disease predominantly involving LIE of ischemic etiology and mostly not related to the stroke etiology.Fil: Rodriguez Granillo, Gaston Alfredo. Consejo Nacional de Investigaciones CientĂ­ficas y TĂ©cnicas. Oficina de CoordinaciĂłn Administrativa Houssay. Instituto Alberto C. Taquini de Investigaciones en Medicina Traslacional - Universidad de Buenos Aires. Facultad de Medicina. Instituto de Investigaciones CardiolĂłgicas "Prof. Dr. Alberto C. Taquini". Instituto Alberto C. Taquini de Investigaciones en Medicina Traslacional; Argentina. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Cirio, Juan J.. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Ciardi, Celina. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Caballero, Maria L.. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Fontana, Lucia A.. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Buezas, Mariano D.. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Diluca, Pablo. Clinica La Sagrada Familia. Instituto Medico ENERI; ArgentinaFil: Lylyk, Pedro. Clinica La Sagrada Familia. Instituto Medico ENERI; Argentin

    SAP97-mediated local trafficking is altered in Alzheimer disease patients' hippocampus

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    Synapse-asssociated protein-97 (SAP97) is responsible for the trafficking of both glutamate receptor subunits, GluR1 and NR2A, and \u3b1-secretase ADAM10 to the synaptic membrane. Here we evaluate the trafficking capability of SAP97 in Alzheimer disease (AD) patients' brain. We analyzed autoptic hippocampus and superior frontal gyrus, respectively as an affected and a less affected area, from 6 AD patients (Braak 4) and 6 healthy controls. In hippocampus, but not in superior frontal gyrus, of AD patients, ADAM10 and GluR1 synaptic membrane levels are altered while NR2A localization is not affected. Both immunoprecipitation and pull-down assays demonstrated that SAP97 failed to correctly couple to ADAM10 and GluR1, but not to NR2A. These findings not only indicate SAP97 as a point of convergence between amyloid cascade and synaptic failure in AD, but also allow a different interpretation of AD which can be now perceived as synaptic trafficking defect patholog

    Perceived Surface Slant Is Systematically Biased in the Actively-Generated Optic Flow

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    Humans make systematic errors in the 3D interpretation of the optic flow in both passive and active vision. These systematic distortions can be predicted by a biologically-inspired model which disregards self-motion information resulting from head movements (Caudek, Fantoni, & Domini 2011). Here, we tested two predictions of this model: (1) A plane that is stationary in an earth-fixed reference frame will be perceived as changing its slant if the movement of the observer's head causes a variation of the optic flow; (2) a surface that rotates in an earth-fixed reference frame will be perceived to be stationary, if the surface rotation is appropriately yoked to the head movement so as to generate a variation of the surface slant but not of the optic flow. Both predictions were corroborated by two experiments in which observers judged the perceived slant of a random-dot planar surface during egomotion. We found qualitatively similar biases for monocular and binocular viewing of the simulated surfaces, although, in principle, the simultaneous presence of disparity and motion cues allows for a veridical recovery of surface slant

    Predicting Alzheimer dementia in mild cognitive impairment patients. Are biomarkers useful?

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    A correct clinical diagnosis in the early stage of Alzheimer disease is not only of importance given the current available treatment with acetylcholine esterase inhibitors, but would be the basis for disease-modifying therapy slowing down or arresting the degenerative process. Moreover, in the last years, several efforts have been made to determine if a patient with mild cognitive impairment has incipient Alzheimer disease, i.e. will progress to Alzheimer disease with dementia, or have a benign form of mild cognitive impairment. In this review, the recent published reports regarding progress in early and preclinical Alzheimer disease diagnosis are discussed and the role of peripheral and cerebrospinal fluid biomarkers highlighted. Approaches combining panels of different biomarkers show promise for discovering profiles that are characteristic of Alzheimer disease, even in the pre-symptomatic stage. More work is needed but available novel perspectives offered by recent introduced technologies shed some lights in identifying incipient Alzheimer disease in mild cognitive impairment subjects

    Combined biomarkers for early Alzheimer disease diagnosis

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    Few public health problems have captured the attention of the biomedical and lay communities alike as has Alzheimer Disease (AD). Several questions remain still open in disease management, as the necessity to delineate disease process from "normal ageing". In the last few years, Mild Cognitive Impairment (MCI) has received significant attention, thus it represents the major risk factor for AD. Not all people diagnosed as having MCI, however, will develop AD, hence there is a need to reliably predict progression. To this aim, different biomarkers have been proposed with the attempt to identify MCI people who already have pre-clinical AD. Neuropsychological assessment, peripheral and CSF biomarkers as well as neuroimaging findings (both structural and functional) have reported variable accuracy values, but better results have been obtained by combined biomarker approach. In this review, we summarise the most recent findings on combined biomarkers and their usefulness in clinical practice for the early and preclinical diagnosis of A
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