Parkinson's disease plasma biomarkers: An automated literature analysis followed by experimental validation ☆

摘要: Abstract Diagnosis of Parkinson's disease (PD) is currently assessed by the clinical evaluation extrapyramidal signs. The identification specific biomarkers would be advisable, however most studies stop at discovery phase, with no reaching exploitation. To this purpose, we developed an automated literature analysis procedure to retrieve all background knowledge available in public databases. bioinformatic platform allowed us analyze more than 51,000 scientific papers dealing PD, containing information on 4121 proteins. Out these, could track back 35 PD-related proteins as present least two published 2-DE maps human plasma. Then, 9 different (haptoglobin, transthyretin, apolipoprotein A-1, serum amyloid P component, E, complement factor H, fibrinogen γ, thrombin, C3) split into 32 spots were identified a potential diagnostic pattern. Eventually, compared collected data experimental gels from 90 subjects (45 PD patients, 45 non-neurodegenerative control subjects) experimentally verify their plasma PD. This article part Special Issue entitled: From Genome Proteome: Open Innovations.