title: Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation.
abstract: Diagnosis of Parkinson's disease (PD) is currently assessed by the clinical evaluation of extrapyramidal signs. The identification of specific biomarkers would be advisable, however most studies stop at the discovery phase, with no biomarkers reaching clinical exploitation. To this purpose, we developed an automated literature analysis procedure to retrieve all the background knowledge available in public databases. The bioinformatic platform allowed us to analyze more than 51,000 scientific papers dealing with PD, containing information on 4121 proteins. Out of these, we could track back 35 PD-related proteins as present in at least two published 2-DE maps of human plasma. Then, 9 different proteins (haptoglobin, transthyretin, apolipoprotein A-1, serum amyloid P component, apolipoprotein E, complement factor H, fibrinogen γ, thrombin, complement C3) split into 32 spots were identified as a potential diagnostic pattern. Eventually, we compared the collected literature data to experimental gels from 90 subjects (45 PD patients, 45 non-neurodegenerative control subjects) to experimentally verify their potential as plasma biomarkers of PD.
authors: Division of Biomedical Research, Department of Theoretical and Applied Sciences, University of Insubria, Busto Arsizio, Italy.
authors: Tiziana
authors: T
authors: Alberio
authors: Enrico M
authors: EM
authors: Bucci
authors: Massimo
authors: M
authors: Natale
authors: Dario
authors: D
authors: Bonino
authors: Marco
authors: M
authors: Di Giovanni
authors: Edo
authors: E
authors: Bottacchi
authors: Mauro
authors: M
authors: Fasano
mesh_terms: D000368:Aged; D015415:Biomarkers / Q000097:blood; D001798:Blood Proteins / Q000378:metabolism*; D057225:Data Mining; D001330:Electronic Data Processing; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D010300:Parkinson Disease / Q000097:blood* / Q000175:diagnosis
chemical_list: D015415:Biomarkers; D001798:Blood Proteins
keywords: 2-DE; Biomarkers; Meta-analysis; Parkinson's disease; Plasma