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  1. Article

    Open Access

    Prediction of motor and non-motor Parkinson’s disease symptoms using serum lipidomics and machine learning: a 2-year study

    Identifying biological factors which contribute to the clinical progression of heterogeneous motor and non-motor phenotypes in Parkinson’s disease may help to better understand the disease process. Several lip...

    Jasmin Galper, Giorgia Mori, Gordon McDonald in npj Parkinson's Disease (2024)

  2. Article

    Open Access

    Single-cell DNA methylation sequencing by combinatorial indexing and enzymatic DNA methylation conversion

    DNA methylation is a critical molecular mark involved in cellular differentiation and cell-specific processes. Single-cell whole genome DNA methylation profiling methods hold great potential to resolve the DNA...

    Zac Chatterton, Praves Lamichhane, Diba Ahmadi Rastegar in Cell & Bioscience (2023)

  3. Article

    Open Access

    Effect of LRRK2 protein and activity on stimulated cytokines in human monocytes and macrophages

    Leucine-rich-repeat kinase 2 (LRRK2), a potential therapeutic target for the treatment of Parkinson’s disease (PD), is highly expressed in monocytes and macrophages and may play a role in the regulation of inf...

    Diba Ahmadi Rastegar, Laura P. Hughes, Gayathri Perera in npj Parkinson's Disease (2022)

  4. Article

    Open Access

    Parkinson’s progression prediction using machine learning and serum cytokines

    The heterogeneous nature of Parkinson’s disease (PD) symptoms and variability in their progression complicates patient treatment and interpretation of clinical trials. Consequently, there is much interest in d...

    Diba Ahmadi Rastegar, Nicholas Ho, Glenda M. Halliday in npj Parkinson's Disease (2019)