26 research outputs found

    Longitudinal Clinical, Neuropsychological, and Neuroimaging Characterization of a Kindred with a 12-Octapeptide Repeat Insertion in PRNP: The Next Generation

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    Background: Highly penetrant inherited mutations in the prion protein gene (PRNP) offer a window to study the pathobiology of prion disorders. Method: Clinical, neuropsychological, and neuroimaging characterization of a kindred. Results: Three of four mutation carriers have progressed to a frontotemporal dementia phenotype. Declines in neuropsychological function coincided with changes in FDG-PET at the identified onset of cognitive impairment. Conclusions and relevance: Gene silencing treatments are on the horizon and when they become available, early detection will be crucial. Longitudinal studies involving familial mutation kindreds can offer important insights into the initial neuropsychological and neuroimaging changes necessary for early detection

    Assessment of VITEK MS IVD database V3.0 for identification of Nocardia spp. using two culture media and comparing direct smear and protein extraction procedures

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    We assessed the performance of the VITEK MS IVD V3.0 matrix-assisted laser desorption ionization - time of flight mass spectrometry (MALDI-ToF MS) V3.0 database for the identification of Nocardia spp. as compared with targeted DNA sequencing. A collection of 222 DNA sequence-defined Nocardia spp. strains encompassing 18 different species present or not in the database was tested. Bromocresol purple agar (BCP) and Columbia agar +5% sheep's blood (COS) culture media were used together with two different preparation steps: direct smear and a "3 attempts" procedure that covered (1) spotting of an extract, (2) new spotting of the same extract, and (3) spotting of a new extract. The direct smear protocol yielded low correct identification rates (<= 15% for both media) whereas protein extraction yielded correct identification results (\\textgreater 67% regardless of the media used.). The use of 2 additional attempts using repeat or new extracts increased correct identification rates to 87% and 91% for BCP and COS, respectively. When using the 3 attempts procedure, the best identification results, independent of media types, were obtained for N. farcinica and N. cyriacigeorgica (100%). Identification attempts 2 and 3 allowed to increase the number of correct identifications (BCP, +20%; COS, +13%). The enhancement in performance during attempts 2 and 3 was remarkable for N. abscessus (81% for both media) and low prevalence species (BCP, 70%; COS, 85%). Up to 3.4% and 2.4% of the strains belonging to species present in the database were misidentified with BCP and COS media, respectively. In 1.9% of the cases for BCP and 1.4% for COS, these misidentifications concerned a species belonging to the same phylogenetic complex. Concerning strains that are not claimed in the V3.0 database, N. puris and N. goodfellowi generated "No identification" results and 100% of the strains belonging to N. arthritidis, N.cerradoensis, and N. altamirensis yielded a misidentification within the same phylogenetic complex. Vitek MS IVD V3.0 is an accurate and useful tool for identification of Nocardia spp

    Nonclinical data supporting orphan medicinal product designations: lessons from rare neurological conditions

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    Here, we provide an in-depth literature and experience-based review of nonclinical models and data used to support orphan medicinal product designations (OMPDs) in rare neurodegenerative conditions. The Committee for Orphan Medicinal Products (COMP) of the European Medicines Agency updates its assessment processes based on scientific progress and aims to provide transparent criteria required in support of OMPDs. Thus, we also provide an updated analysis of existing nonclinical models in selected conditions and identify key features of nonclinical studies that are crucial for the support of OMPDs. This could not only inform future drug development in rare neurological conditions, but also indicate areas where the use of nonclinical models can be made more efficient
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