Validation of a new assay for α-synuclein detection in cerebrospinal fluid.
Clin Chem Lab Med
; 55(2): 254-260, 2017 Feb 01.
Article
em En
| MEDLINE
| ID: mdl-27474841
BACKGROUND: Abnormal α-synuclein aggregation and deposition is the pathological hallmark of Parkinson's disease (PD) and dementia with Lewy bodies (DLB), but is also found in Alzheimer disease (AD). Therefore, there is a gaining interest in α-synuclein in cerebrospinal fluid (CSF) as potential biomarker for these neurodegenerative diseases. To broaden the available choices of α-synuclein measurement in CSF, we developed and validated a new assay for detecting total α-synuclein. METHODS: This novel ELISA uses commercially available antibodies and is based on electrochemiluminescence technology. The assay protocol is straightforward, with short and simple incubation steps, and requires only small amounts of CSF. We validated this assay for precision, parallelism, dilution linearity, specificity, and spike recovery. We further compared it to the newly validated α-synuclein assay from BioLegend by analyzing a set of 50 CSF samples with both assays. RESULTS: The new assay quantifies α-synuclein in CSF with a lower limit of detection of 36.3 pg/mL and shows no cross-reactivity with human ß- and γ-synuclein. Results of dilution linearity, parallelism, spike recovery, and precision classify this assay as well suited for α-synuclein detection in human CSF samples. CONCLUSIONS: We present a novel assay based on freely available components to quantify total α-synuclein in CSF as an additional method for α-synuclein as a biomarker in neurodegenerative diseases. The assay convinces with its simple and convenient protocol paired with high sensitivity.
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Ensaio de Imunoadsorção Enzimática
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Alfa-Sinucleína
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Técnicas Eletroquímicas
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Medições Luminescentes
Tipo de estudo:
Diagnostic_studies
Limite:
Humans
Idioma:
En
Revista:
Clin Chem Lab Med
Assunto da revista:
QUIMICA CLINICA
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TECNICAS E PROCEDIMENTOS DE LABORATORIO
Ano de publicação:
2017
Tipo de documento:
Article