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Blood-based biomarker in Parkinson’s disease: potential for future applications in clinical research and practice

  • Lars Tönges
  • , Carsten Buhmann
  • , Stephan Klebe
  • , Jochen Klucken
  • , Eun Hae Kwon
  • , Thomas Müller
  • , David J. Pedrosa
  • , Nils Schröter
  • , Peter Riederer
  • , Paul Lingor
  • Huntington-Zentrum (NRW) Bochum im St. Josef Hospital
  • Max-Planck-lnstitut für Kohlenforschung
  • University Medical Center Hamburg-Eppendorf
  • University Hospital of Essen
  • University of Luxembourg
  • Luxembourg Institute of Health
  • Centre Hospitalier de Luxembourg
  • St. Joseph Hospital Berlin-Weissensee
  • Somnomar Institut für Medizinische Forschung und Schlafmedizin
  • Philipps-Universität Marburg
  • University of Freiburg
  • University Hospital Würzburg
  • University of Southern Denmark

Research output: Contribution to journalReview articlepeer-review

46 Scopus citations

Abstract

The clinical presentation of Parkinson’s disease (PD) is both complex and heterogeneous, and its precise classification often requires an intensive work-up. The differential diagnosis, assessment of disease progression, evaluation of therapeutic responses, or identification of PD subtypes frequently remains uncertain from a clinical point of view. Various tissue- and fluid-based biomarkers are currently being investigated to improve the description of PD. From a clinician's perspective, signatures from blood that are relatively easy to obtain would have great potential for use in clinical practice if they fulfill the necessary requirements as PD biomarker. In this review article, we summarize the knowledge on blood-based PD biomarkers and present both a researcher’s and a clinician’s perspective on recent developments and potential future applications.

Original languageEnglish
Pages (from-to)1201-1217
Number of pages17
JournalJournal of Neural Transmission
Volume129
Issue number9
DOIs
StatePublished - Sep 2022

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Alpha-synuclein
  • Biomarker
  • Parkinsonian syndromes
  • Parkinson’s disease

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