Objective: To identify clinical variables that could predict the presence of autoantibodies in patients with acute encephalitis.
Methods: An observational, retrospective study from May 2011 to May 2017. Clinical, EEG, brain MRI data, and antibodies against human neuronal antigens (NMDAR, GABAR, AMPAR, LGI1, CASPR2, and GAD) from 158 patients with criteria for possible autoimmune encephalitis were analyzed to create a predictive model for this disease.
Little is known about the genetic basis of amyotrophic lateral sclerosis (ALS) outside Europe and US. In this study, we investigated whether intermediate CAG expansions at ATXN1 were associated to ALS in the Brazilian population. To accomplish that, representative samples from 411 unrelated patients and 436 neurologically normal controls from 6 centers spread over the territory were genotyped to quantify ATXN1 expansions.
View Article and Find Full Text PDFIntermediate-length cytosine-adenine-guanine nucleotide repeat expansions in the ATXN2 gene (which encodes for the protein Ataxin-2) have been linked to increased risk for amyotrophic lateral sclerosis (ALS) in different populations. There is no such study in the Brazilian population, which has a mixed ethnic background. We have thus selected 459 patients with ALS (372 Sporadic ALS and 87 Familial ALS) and 468 control subjects from 6 Brazilian centers to investigate this point.
View Article and Find Full Text PDFGC hexanucleotide repeat expansions in the C9orf72 gene seem to be the cause of numerous cases of amyotrophic lateral sclerosis (ALS) and/or frontotemporal dementia (FTD). In this study, we investigated the presence of the GC repeat expansion in 463 Brazilian probands, of whom 404 had ALS/motor neuron disease and 67 FTD, and in 63 healthy controls in the southeastern region of Brazil. The highest frequencies of the C9orf72 mutation were in the ALS-FTD group (50% of familial and 17.
View Article and Find Full Text PDFObjective: To evaluate MRI-based parameters as biomarkers of Amyotrophic Lateral Sclerosis (ALS) progression.
Methods: Twenty-seven patients and 27 controls performed two clinical and MRI acquisitions 8 months apart. ALSFRS-R scale was used to quantify disease severity at both time points.
Introduction: Skeletal muscle microRNAs (miRNAs) are potential candidate biomarkers for amyotrophic lateral sclerosis (ALS) that deserve further investigation.
Objectives: To identify miRNAs abnormally expressed in the skeletal muscle and plasma of patients with ALS, and to correlate them with parameters of disease progression.
Methods: Expression profile of miRNAs in muscle was evaluated using an array platform.
Background And Purpose: Amyotrophic Lateral Sclerosis (ALS) is characterized by extensive corticospinal damage, but extrapyramidal involvement is suggested in pathological studies. Texture analysis (TA) is an image processing technique that evaluates the distribution of gray levels between pixels in a given region of interest (ROI). It provides quantitative data and has been employed in several neurodegenerative disorders.
View Article and Find Full Text PDFMutations in the SPG4 gene (SPG4-HSP) are the most frequent cause of hereditary spastic paraplegia, but the extent of the neurodegeneration related to the disease is not yet known. Therefore, our objective is to identify regions of the central nervous system damaged in patients with SPG4-HSP using a multi-modal neuroimaging approach. In addition, we aimed to identify possible clinical correlates of such damage.
View Article and Find Full Text PDFAmyotroph Lateral Scler Frontotemporal Degener
March 2014
Our objective was to investigate spinal cord (SC) atrophy in amyotrophic lateral sclerosis (ALS) patients, and to determine whether it correlates with clinical parameters. Forty-three patients with ALS (25 males) and 43 age- and gender-matched healthy controls underwent MRI on a 3T scanner. We used T1-weighted 3D images covering the whole brain and the cervical SC to estimate cervical SC area and eccentricity at C2/C3 level using validated software (SpineSeg).
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