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Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation.
J Proteomics. 2013 Sep 02; 90:107-14.JP

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+Show Affiliations

Division of Biomedical Research, Department of Theoretical and Applied Sciences, University of Insubria, Busto Arsizio, Italy.No affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Clinical Trial
Journal Article
Research Support, Non-U.S. Gov't
Review

Language

eng

PubMed ID

23385359

Citation

Alberio, Tiziana, et al. "Parkinson's Disease Plasma Biomarkers: an Automated Literature Analysis Followed By Experimental Validation." Journal of Proteomics, vol. 90, 2013, pp. 107-14.
Alberio T, Bucci EM, Natale M, et al. Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation. J Proteomics. 2013;90:107-14.
Alberio, T., Bucci, E. M., Natale, M., Bonino, D., Di Giovanni, M., Bottacchi, E., & Fasano, M. (2013). Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation. Journal of Proteomics, 90, 107-14. https://doi.org/10.1016/j.jprot.2013.01.025
Alberio T, et al. Parkinson's Disease Plasma Biomarkers: an Automated Literature Analysis Followed By Experimental Validation. J Proteomics. 2013 Sep 2;90:107-14. PubMed PMID: 23385359.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Parkinson's disease plasma biomarkers: an automated literature analysis followed by experimental validation. AU - Alberio,Tiziana, AU - Bucci,Enrico M, AU - Natale,Massimo, AU - Bonino,Dario, AU - Di Giovanni,Marco, AU - Bottacchi,Edo, AU - Fasano,Mauro, Y1 - 2013/02/04/ PY - 2012/11/15/received PY - 2013/01/11/revised PY - 2013/01/22/accepted PY - 2013/2/7/entrez PY - 2013/2/7/pubmed PY - 2014/3/19/medline KW - 2-DE KW - Biomarkers KW - Meta-analysis KW - Parkinson's disease KW - Plasma SP - 107 EP - 14 JF - Journal of proteomics JO - J Proteomics VL - 90 N2 - 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. SN - 1876-7737 UR - https://www.unboundmedicine.com/medline/citation/23385359/Parkinson's_disease_plasma_biomarkers:_an_automated_literature_analysis_followed_by_experimental_validation_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S1874-3919(13)00055-9 DB - PRIME DP - Unbound Medicine ER -