摘要
The discovery of diagnostic and prognostic biomarkers for neurodegenerative diseases represents an unmet clinical challenge. For example, the diagnosis of Parkinson's disease (PD) relies mainly on the presence of clinical symptoms. Therefore, the identification and use of novel PD biomarkers would allow the application of disease-modifying treatments at the very early stages of neurodegeneration. The presynaptic protein, α-synuclein, has been genetically and biochemically linked with PD pathogenesis and has been considered as a potential biomarker for the diagnosis of PD and the related synucleinopathies. The vast majority of studies have assessed the measurement of α-synuclein, alone or in combination with other biomarkers in the cerebrospinal fluid (CSF), since it is the biofluid that most closely reflects the pathophysiology of the brain. The diagnostic value of the monomericα-synuclein but also the oligomeric, the phosphorylated and the aggregated forms of the protein has been evaluated using a variety of immunoassays. The results have so far been reproducible but the assays used are still lacking the required diagnostic accuracy. Recent reports have shown that Protein misfolding cyclic amplification is a technique that has the potential to detect α-synuclein seeds in samples of CSF with high sensitivity and across different synucleinopathies. In an effort to increase the source of biomarker for PD and related synucleinopathies,α-synuclein has also been measured in neuronal exosomes, small vesicles of endosomal origin that are secreted from neurons into the CSF or the periphery. The potential diagnostic value of exosomes stems from the notion that exosomes carry a disease-specific repertoire of marker proteins. Therefore, the assessment of exosome-associated α-synuclein species may also open up new avenues for disease diagnosis in different synucleinopathies.
作者简介
Correspondence to:Dr.Kostas Vekrellis,Center for Basic Science,Biomedical Research Foundation Academy of Athens,4 Soranou Ephessiou St.,Athens 11527,Greece.E-mail:vekrellis@bioacademy.gr
