Literature DB >> 19691116

A longitudinal program for biomarker development in Parkinson's disease: a feasibility study.

Bernard Ravina1, Caroline Tanner, Diane Dieuliis, Shirley Eberly, Emily Flagg, Wendy R Galpern, Stanley Fahn, Christopher G Goetz, Stephen Grate, Roger Kurlan, Anthony E Lang, Kenneth Marek, Karl Kieburtz, David Oakes, Robin Elliott, Ira Shoulson.   

Abstract

Long-term follow up is necessary to understand the natural history of treated Parkinson's disease (PD). The Longitudinal and Biomarker Study in PD (LABS-PD) is an observational study designed to prospectively measure the evolution of motor and non-motor features of PD and sample promising biomarkers from early to late stage illness. LABS-PD is organized on the premise that cohorts from completed clinical trials can be re-recruited for long-term follow up. LABS-PD will eventually contain multiple cohorts, but to test the feasibility of the strategy, we examined enrollment and biomarker sampling in the initial cohorts. The first PD cohort (PostCEPT) comes from the de novo clinical trial of a mixed lineage kinase inhibitor (PRECEPT). We assessed the recruitment from PRECEPT to PostCEPT, the ability to link data from the two studies, and sample collection for a variety of biomarkers. A total of 537 of 709 eligible PRECEPT subjects (76%) enrolled in PostCEPT; 509 (95%) had repeat dopamine transporter imaging. PRECEPT clinical and imaging data were successfully linked to PostCEPT, to provide 3 to 4 year follow-up. A biomarker sub-study enrolled over 100 PD cases from PostCEPT and 100 controls to measure olfaction and blood markers of gene expression, alpha-synuclein, and proteomic profiles. We were also successful in linking clinical and biomarker data to DNA samples that have been collected in the publicly accessible Coriell repository. The PostCEPT cohort and associated studies strongly support the feasibility of the LABS-PD approach of retaining and repurposing clinical trial cohorts to collect longitudinal clinical and biomarker data. (c) 2009 Movement Disorder Society.

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Year:  2009        PMID: 19691116     DOI: 10.1002/mds.22690

Source DB:  PubMed          Journal:  Mov Disord        ISSN: 0885-3185            Impact factor:   10.338


  28 in total

Review 1.  Calcium, mitochondrial dysfunction and slowing the progression of Parkinson's disease.

Authors:  D James Surmeier; Glenda M Halliday; Tanya Simuni
Journal:  Exp Neurol       Date:  2017-08-02       Impact factor: 5.330

2.  Conversion to Parkinson Disease in the PARS Hyposmic and Dopamine Transporter-Deficit Prodromal Cohort.

Authors:  Danna Jennings; Andrew Siderowf; Matthew Stern; John Seibyl; Shirley Eberly; David Oakes; Kenneth Marek
Journal:  JAMA Neurol       Date:  2017-08-01       Impact factor: 18.302

3.  Dopamine transporter imaging is associated with long-term outcomes in Parkinson's disease.

Authors:  Bernard Ravina; Kenneth Marek; Shirley Eberly; David Oakes; Roger Kurlan; Alberto Ascherio; Flint Beal; James Beck; Emily Flagg; Wendy R Galpern; Jennifer Harman; Anthony E Lang; Michael Schwarzschild; Caroline Tanner; Ira Shoulson
Journal:  Mov Disord       Date:  2012-09-13       Impact factor: 10.338

4.  Clinical trials of disease-modifying therapies for neurodegenerative diseases: the challenges and the future.

Authors:  Anthony E Lang
Journal:  Nat Med       Date:  2010-09-21       Impact factor: 53.440

5.  Prediction of cognition in Parkinson's disease with a clinical-genetic score: a longitudinal analysis of nine cohorts.

Authors:  Ganqiang Liu; Joseph J Locascio; Jean-Christophe Corvol; Brendon Boot; Zhixiang Liao; Kara Page; Daly Franco; Kyle Burke; Iris E Jansen; Ana Trisini-Lipsanopoulos; Sophie Winder-Rhodes; Caroline M Tanner; Anthony E Lang; Shirley Eberly; Alexis Elbaz; Alexis Brice; Graziella Mangone; Bernard Ravina; Ira Shoulson; Florence Cormier-Dequaire; Peter Heutink; Jacobus J van Hilten; Roger A Barker; Caroline H Williams-Gray; Johan Marinus; Clemens R Scherzer
Journal:  Lancet Neurol       Date:  2017-06-16       Impact factor: 44.182

6.  Predicting progression in patients with Parkinson's disease.

Authors:  Cornelis Blauwendraat; Sara Bandrés-Ciga; Andrew B Singleton
Journal:  Lancet Neurol       Date:  2017-09-25       Impact factor: 44.182

Review 7.  Gene therapy in Parkinson's disease: rationale and current status.

Authors:  Li Rebekah Feng; Kathleen A Maguire-Zeiss
Journal:  CNS Drugs       Date:  2010-03       Impact factor: 5.749

Review 8.  Clinical neuroprosthetics: Today and tomorrow.

Authors:  Morgan B Lee; Daniel R Kramer; Terrance Peng; Michael F Barbaro; Charles Y Liu; Spencer Kellis; Brian Lee
Journal:  J Clin Neurosci       Date:  2019-07-30       Impact factor: 1.961

9.  Handwriting as an objective tool for Parkinson's disease diagnosis.

Authors:  Sara Rosenblum; Margalit Samuel; Sharon Zlotnik; Ilana Erikh; Ilana Schlesinger
Journal:  J Neurol       Date:  2013-06-16       Impact factor: 4.849

10.  A practical approach to remote longitudinal follow-up of Parkinson's disease: the FOUND study.

Authors:  Caroline M Tanner; Cheryl C Meng; Bernard Ravina; Anthony Lang; Roger Kurlan; Kenneth Marek; David Oakes; John Seibyl; Emily Flagg; Lisa Gauger; Dolores D Guest; Christopher G Goetz; Karl Kieburtz; Diane DiEuliis; Stanley Fahn; Robin A Elliott; Ira Shoulson
Journal:  Mov Disord       Date:  2014-02-11       Impact factor: 10.338

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