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Recent Findings in PPMI

by Krishna Knabe The Michael J. Fox Foundation A group of authors led by PPMI’s principal investigator, Dr. Kenneth Marek, published baseline data from the study in the Annals of Clinical and Translational Neurology. The paper includes detailed biomarker signatures on the initial volunteer groups, which include patients with Parkinson’s disease, healthy controls and those who […]

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PPMI Study Enters a New Phase

by Krishna Knabe The Michael J. Fox Foundation The Parkinson’s Progression Markers Initiative (PPMI) has reached an important milestone: the study completed enrollment. We have now met the ambitious goal we set back in 2010 of enrolling 1,400 participants, including 600 with rare genetic mutations. PPMI is The Michael J. Fox Foundation’s landmark observational clinical […]

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PPMI Data Available: RNA Seq

by Bradford Casey, Ph.D. The Michael J. Fox Foundation The Parkinson’s Progression Markers Initiative (PPMI) includes a broad and comprehensive panel of measurements designed to improve our understanding of Parkinson’s disease (PD). One approach is analysis of the genome, the full complement of DNA present within the cells of the body. DNA is often considered […]

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PPMI Study Update Call – 6/14/18

PPMI Study Update Call Cerebrospinal Fluid Analysis Thursday, June 14 12-1 pm Eastern Time Brit Mollenhauer, MD Attending Neurologist, Head of Clinical Research PPMI Steering Committee Member Paracelsus-Elena Klinik Doug Galasko, MD Professor of Neurology PPMI Steering Committee Member University of California San Diego   PPMI participants are encouraged to call in to the next […]

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2018 PPMI Annual Meeting Summary

The 2018 PPMI Annual Investigator’s Meeting took place on May 2-3 in New York City.  There were more than 200 attendees present, including PPMI investigators and coordinators, Industry Scientific Advisory Board representatives, The Edmond J. Safra Fellowship in Movement Disorders fellows and fellowship directors, the PPMI Patient Committee, and the PPMI Steering Committee. This meeting […]

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Collaboration with Verily Aims to Deepen Parkinson’s Understanding through Digital Health Tools

Wearable sensors to monitor health-related measures like heart rate, glucose levels, or physical activity are helping people assess their own health and enabling research in treating and understanding chronic disease. The Michael J. Fox Foundation (MJFF) and Verily Life Sciences LLC, an Alphabet company, are collaborating to use wearable devices — in conjunction with clinic-based data and […]

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PPMI Steering Committee Paper Accepted to Movement Disorders Journal

We are excited to announce a recent research article using longitudinal data from PPMI has been accepted to Movement Disorders.  Members of the PPMI Steering Committee, including Dr. Tanya Simuni of Northwestern University, authored this publication on behalf of PPMI. The study, entitled Longitudinal Change of Clinical and Biological Measures in Early Parkinson’s Disease: Parkinson’s […]

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PPMI Study Update Call – 3/15/18

PPMI Study Update Call Thursday, March 15 12-1 pm Eastern Time Andrew Siderowf, MD, MSCE Professor of Neurology University of Pennsylvania Co-Principal Investigator of PPMI   PPMI participants are encouraged to call in to the next quarterly Study Update Call on Thursday, March 15, 2018 at 12 pm EST.  During this call, Dr. Andrew Siderowf, […]

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Participant Update Call – 6/28/2017

All PPMI participants are encouraged to call in for our quarterly study update call, tomorrow at 12 pm EST. Dr. Daniel Weintraub will discuss the impact of PD on cognition. Dr. Weintraub’s talk will center around his recent publication of PPMI data in the journal PLoS One. You can read the full research article online.

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PPMI at MDS 2017

The 21st International Congress of Parkinson’s Disease and Movement Disorders (MDS) conference will take place next week, June 4-8, in Vancouver, Canada. PPMI leadership is happy to announce that several posters will feature PPMI data. We invite you to look for PPMI at this year’s meeting:   Blue Ribbon Highlight:  840 Multiple modality biomarker prediction […]

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