| Literature DB >> 26162713 |
Franc Llorens1, Niels Kruse2, Matthias Schmitz3, Mohsin Shafiq3, José Eriton Gomes da Cunha4, Nadine Gotzman3, Saima Zafar3, Katrin Thune3, João Ricardo Mendes de Oliveira4, Brit Mollenhauer2,5,6, Inga Zerr3.
Abstract
The identification of reliable diagnostic tools for the differential diagnosis between sporadic Creutzfeldt-Jakob Disease (sCJD) and Alzheimer's disease (AD) remains impeded by the existing clinical, neuropathological and molecular overlap between both diseases. The development of new tools for the quantitative measurement of biomarkers is gaining experimental momentum due to recent advances in high-throughput screening analysis and with the optimization of assays for their quantification in biological fluids, including cerebrospinal fluid (CSF). Electrochemiluminescence (ECL)-based immunoassays have demonstrated to achieve clinical quality performance in a variety of sample types due to its high sensitivity and dynamic range. Here, we quantified the CSF levels of Tau-protein, β-amyloid 1-42 (Aβ42) and α-synuclein, as important biomarkers in CSF used in the differential diagnosis of neurodegenerative disorders in 12 AD, 12 sCJD and 12 control cases by singleplex ECL-based technology. Its performance has been compared to classical enzyme-linked immunosorbent assays (ELISA) to confront their clinical accuracy. ECL-based technology validates previous data obtained with ELISA and presents a higher performance in the discrimination of three analysed groups as determined by increased area under the curve (AUC) values for the three biomarkers. Importantly, α-synuclein levels detected by ECL allow an excellent discrimination between sCJD cases and AD and control cases, unveiling a new clinical approach for the differential diagnosis of sCJD.Entities:
Keywords: Alzheimer’s disease; Biomarkers; Cerebrospinal fluid; Creutzfeldt–Jakob disease; ELISA; Electrochemiluminescence-based detection system; Neurodegeneration
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Year: 2015 PMID: 26162713 DOI: 10.1007/s00415-015-7837-x
Source DB: PubMed Journal: J Neurol ISSN: 0340-5354 Impact factor: 4.849