Browsing by Author "West, Andrew B."

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    A blood-based marker of mitochondrial DNA damage in Parkinson's disease
    (American Association for the Advancement of Science, 2023) Qi, Rui; Sammler, Esther; Gonzalez-Hunt, Claudia P.; Barraza, Ivana; Pena, Nicholas; Rouanet, Jeremy P.; Naaldijk, Yahaira; Goodson, Steven; Fuzzati, Marie; Blandini, Fabio; Erickson, Kirk I.; Weinstein, Andrea M.; Lutz, Michael W.; Kwok, John B.; Halliday, Glenda M.; Dzamko, Nicolas; Padmanabhan, Shalini; Alcalay, Roy N.; Waters, Cheryl; Hogarth, Penelope; Simuni, Tanya; Smith, Danielle; Marras, Connie; Tonelli, Francesca; Alessi, Dario R.; West, Andrew B.; Shiva, Sruti; Hilfiker, Sabine; Sanders, Laurie H.; Oral and Maxillofacial Surgery and Hospital Dentistry, School of Dentistry
    Parkinson's disease (PD) is the most common neurodegenerative movement disorder, and neuroprotective or disease-modifying interventions remain elusive. High-throughput markers aimed at stratifying patients on the basis of shared etiology are required to ensure the success of disease-modifying therapies in clinical trials. Mitochondrial dysfunction plays a prominent role in the pathogenesis of PD. Previously, we found brain region-specific accumulation of mitochondrial DNA (mtDNA) damage in PD neuronal culture and animal models, as well as in human PD postmortem brain tissue. To investigate mtDNA damage as a potential blood-based marker for PD, we describe herein a PCR-based assay (Mito DNADX) that allows for the accurate real-time quantification of mtDNA damage in a scalable platform. We found that mtDNA damage was increased in peripheral blood mononuclear cells derived from patients with idiopathic PD and those harboring the PD-associated leucine-rich repeat kinase 2 (LRRK2) G2019S mutation in comparison with age-matched controls. In addition, mtDNA damage was elevated in non-disease-manifesting LRRK2 mutation carriers, demonstrating that mtDNA damage can occur irrespective of a PD diagnosis. We further established that Lrrk2 G2019S knock-in mice displayed increased mtDNA damage, whereas Lrrk2 knockout mice showed fewer mtDNA lesions in the ventral midbrain, compared with wild-type control mice. Furthermore, a small-molecule kinase inhibitor of LRRK2 mitigated mtDNA damage in a rotenone PD rat midbrain neuron model and in idiopathic PD patient-derived lymphoblastoid cell lines. Quantifying mtDNA damage using the Mito DNADX assay may have utility as a candidate marker of PD and for measuring the pharmacodynamic response to LRRK2 kinase inhibitors.
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    Parkinson's disease biomarkers: perspective from the NINDS Parkinson's Disease Biomarkers Program
    (Future Medicine, 2017-05) Gwinn, Katrina; David, Karen K.; Swanson-Fischer, Christine; Albin, Roger; St Hillaire-Clarke, Coryse; Sieber, Beth-Anne; Lungu, Codrin; Bowman, F. DuBois; Alcalay, Roy N.; Babcock, Debra; Dawson, Ted M.; Dewey, Richard B., Jr.; Foroud, Tatiana; German, Dwight; Huang, Xuemei; Petyuk, Vlad; Potashkin, Judith A.; Saunders-Pullman, Rachel; Sutherland, Margaret; Walt, David R.; West, Andrew B.; Zhang, Jing; Chen-Plotkin, Alice; Scherzer, Clemens R.; Vaillancourt, David E.; Rosenthal, Liana S.; Medical and Molecular Genetics, School of Medicine
    Biomarkers for Parkinson's disease (PD) diagnosis, prognostication and clinical trial cohort selection are an urgent need. While many promising markers have been discovered through the National Institute of Neurological Disorders and Stroke Parkinson's Disease Biomarker Program (PDBP) and other mechanisms, no single PD marker or set of markers are ready for clinical use. Here we discuss the current state of biomarker discovery for platforms relevant to PDBP. We discuss the role of the PDBP in PD biomarker identification and present guidelines to facilitate their development. These guidelines include: harmonizing procedures for biofluid acquisition and clinical assessments, replication of the most promising biomarkers, support and encouragement of publications that report negative findings, longitudinal follow-up of current cohorts including the PDBP, testing of wearable technologies to capture readouts between study visits and development of recently diagnosed (de novo) cohorts to foster identification of the earliest markers of disease onset.