Combining biomarkers for prognostic modelling of Parkinson’s disease

Output Details

Preprint November 2, 2021

Published July 12, 2022

Patients with Parkinson’s disease (PD) have variable rates of progression. More accurate prediction of progression could improve selection for clinical trials. Although some variance in clinical progression can be predicted by age at onset and phenotype, we hypothesise that this can be further improved by blood biomarkers. We evaluated the relationship between serum NfL and baseline and longitudinal clinical measures as well as patients’ genetic (GBA and APOE) status.
Tags
  • APOE (Apolipoprotein E)
  • Biomarkers
  • Blood
  • DNA
  • GBA (Glucocerebrosidase)
  • Genotyping
  • Motor symptoms
  • NfL (Neurofilament light)
  • Original Research
  • Prognostic modeling
  • SNPs (Single Nucleotide Polymorphisms)

Meet the Authors

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    Raquel Real, PhD

    Key Personnel: Team Hardy

    University College London

  • Ed Jabbari

    Key Personnel: Team Hardy

    University College London

  • Roger Barker, PhD

    Co-PI (Core Leadership): Team Jakobsson

    University of Cambridge

  • Nicholas Wood, PhD

    Lead PI (Core Leadership): Team Wood

    University College London

  • John Hardy, PhD

    Lead PI (Core Leadership): Team Hardy

    University College London

  • Huw Morris

    Collaborating PI: Team Hardy

    University College London

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    Christine Girges

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    Viorica Chelban

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    Katherine A Grosset

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    John Woodside

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    Manuela Tan

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    Tong Guo

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    Michael Lawton

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    Amanda Heslegrave

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    Nirosen Vijiaratnam

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    Ben-Shlomo Yoav

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    Thomas Foltynie

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    Henry Houlden

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    Henrik Zetterberg

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    Dilan Athauda

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    Nigel Williams

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    Donald Grosset