Umeå University's logo

umu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Immunochemical Detection of alpha-Synuclein Autoantibodies in Parkinson's Disease: Correlation between Plasma and Cerebrospinal Fluid Levels
Umeå University, Faculty of Medicine, Department of Medical Biochemistry and Biophysics.ORCID iD: 0000-0003-4262-1430
Umeå University, Faculty of Medicine, Department of Medical Biochemistry and Biophysics. Department of General Chemistry, Sumy State University, Ukraine.
Umeå University, Faculty of Medicine, Department of Pharmacology and Clinical Neuroscience, Clinical Neuroscience.
Umeå University, Faculty of Medicine, Department of Medical Biochemistry and Biophysics.
2017 (English)In: ACS Chemical Neuroscience, E-ISSN 1948-7193, Vol. 8, no 6, p. 1170-1176Article in journal (Refereed) Published
Abstract [en]

Autoantibodies to Parkinson's disease (PD) amyloidogenic protein, a-synuclein, were recognized as a prospective biomarker for early disease diagnostics, yet there is inconsistency in previous reports, potentially related to PD status. Therefore, plasma and cerebrospinal fluid (CSF) of the cross-sectional cohort of 60 individuals, including recently diagnosed PD patients with mild and moderate PD and age-matched controls, were examined by enzyme-linked immunosorbent assay (ELISA). Nonparametric statistics was used for data analysis. We found significantly elevated levels of a-synuclein autoantibodies in both plasma and CSF in mild PD compared to controls, followed by some decrease in moderate PD. Receiver operating characteristic and effect size analyses confirmed the diagnostic power of a-synuclein antibodies in both plasma and CSF. For the first time, we showed the correlation between plasma and CSF a-synuclein antibody levels for mild, moderate, and combined PD groups. This indicates the potentiality of a-synuclein antibodies as PD biomarker and the increased diagnostic power of their simultaneous analysis in plasma and CSF.

Place, publisher, year, edition, pages
American Chemical Society (ACS), 2017. Vol. 8, no 6, p. 1170-1176
Keywords [en]
Biomarkers, blood plasma, cerebrospinal fluid, enzyme-linked immunosorbent assay (ELISA), rkinson's disease, alpha-synuclein autoantibodies
National Category
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy) Neurosciences Pharmaceutical Sciences
Identifiers
URN: urn:nbn:se:umu:diva-137810DOI: 10.1021/acschemneuro.7b00063ISI: 000404098100008PubMedID: 28263550Scopus ID: 2-s2.0-85021104422OAI: oai:DiVA.org:umu-137810DiVA, id: diva2:1127941
Available from: 2017-07-20 Created: 2017-07-20 Last updated: 2023-09-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textPubMedScopus

Authority records

Horvath, IstvanIashchishyn, Igor A.Forsgren, LarsMorozova-Roche, Ludmilla A.

Search in DiVA

By author/editor
Horvath, IstvanIashchishyn, Igor A.Forsgren, LarsMorozova-Roche, Ludmilla A.
By organisation
Department of Medical Biochemistry and BiophysicsClinical Neuroscience
In the same journal
ACS Chemical Neuroscience
Medical Biotechnology (with a focus on Cell Biology (including Stem Cell Biology), Molecular Biology, Microbiology, Biochemistry or Biopharmacy)NeurosciencesPharmaceutical Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
pubmed
urn-nbn

Altmetric score

doi
pubmed
urn-nbn
Total: 545 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf