The Parkinson’s Progression Markers Initiative (PPMI) is a landmark observational clinical study to comprehensively evaluate cohorts of significant interest using advanced imaging, biologic sampling and clinical and behavioral assessments to identify biomarkers of Parkinson’s disease progression.
PPMI is taking place at clinical sites in the United States, Europe, Israel, and Australia. Data and samples acquired from study participants will enable the development of a comprehensive Parkinson’s database and biorepository, which is currently available to the scientific community to conduct field-changing research.
PPMI is made possible by the concerted efforts of a number of collaborators. This study is sponsored by The Michael J. Fox Foundation for Parkinson’s Research.
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A critical component of PPMI is the standardized, longitudinal collection of biospecimens. Each month the Biospecimen Review Committee examines requests for biospecimens collected through the PPMI study. We are excited to announce approval for Dr. Martin Rabey, the Chief Medical Officer of BioShai Ltd, for a project entitled: Validation of a blood based gene expression […]
In a recent publication in Movement Disorders, Zhang, et al. used PPMI data and found that diffusion tensor imaging (DTI) detected neural fiber abnormalities in people with Parkinson’s disease (PD) and that the degree of deviation from normal neural fiber integrity is associated with the severity of motor symptoms in patients.
The tranSMART Foundation is hosting the Cross Neurodegenerative Diseases Datathon June 30 – July 2. Scientists will use the tranSMART Platform to perform analyses across multiple public datasets in the neurodegenerative disease field, including PPMI, BioFIND, LRRK2, ADNI, and GEO PD.
Dr. Mollenhauer: “[Cerebrospinal fluid] bears the possibility to reflect the underlying biology of the disease process.” Find out what makes the PPMI biospecimens, like cerebrospinal fluid, so important to finding progression markers for PD.
The Study Cohorts page has been updated to give researchers a view of the visit data available for each cohort.