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Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)

Parkinson’s disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson’s UK and co-organized by Critical Path Institute’s (C...

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Autores principales: Stephenson, Diane, Hu, Michele T., Romero, Klaus, Breen, Kieran, Burn, David, Ben-Shlomo, Yoav, Bhattaram, Atul, Isaac, Maria, Venuto, Charles, Kubota, Ken, Little, Max A., Friend, Stephen, Lovestone, Simon, Morris, Huw R., Grosset, Donald, Sutherland, Margaret, Gallacher, John, Williams-Gray, Caroline, Bain, Lisa J., Avilés, Enrique, Marek, Ken, Toga, Arthur W., Stark, Yafit, Forrest Gordon, Mark, Ford, Steve
Formato: Online Artículo Texto
Lenguaje:English
Publicado: IOS Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887129/
https://www.ncbi.nlm.nih.gov/pubmed/26406139
http://dx.doi.org/10.3233/JPD-150570
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author Stephenson, Diane
Hu, Michele T.
Romero, Klaus
Breen, Kieran
Burn, David
Ben-Shlomo, Yoav
Bhattaram, Atul
Isaac, Maria
Venuto, Charles
Kubota, Ken
Little, Max A.
Friend, Stephen
Lovestone, Simon
Morris, Huw R.
Grosset, Donald
Sutherland, Margaret
Gallacher, John
Williams-Gray, Caroline
Bain, Lisa J.
Avilés, Enrique
Marek, Ken
Toga, Arthur W.
Stark, Yafit
Forrest Gordon, Mark
Ford, Steve
author_facet Stephenson, Diane
Hu, Michele T.
Romero, Klaus
Breen, Kieran
Burn, David
Ben-Shlomo, Yoav
Bhattaram, Atul
Isaac, Maria
Venuto, Charles
Kubota, Ken
Little, Max A.
Friend, Stephen
Lovestone, Simon
Morris, Huw R.
Grosset, Donald
Sutherland, Margaret
Gallacher, John
Williams-Gray, Caroline
Bain, Lisa J.
Avilés, Enrique
Marek, Ken
Toga, Arthur W.
Stark, Yafit
Forrest Gordon, Mark
Ford, Steve
author_sort Stephenson, Diane
collection PubMed
description Parkinson’s disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson’s UK and co-organized by Critical Path Institute’s (C-Path) Coalition Against Major Diseases (CAMD) Consortiums, investigators from industry, academia, government and regulatory agencies agreed on the need for sharing of data to enable future success. Government agencies included EMA, FDA, NINDS/NIH and IMI (Innovative Medicines Initiative). Emerging discoveries in new biomarkers and genetic endophenotypes are contributing to our understanding of the underlying pathophysiology of PD. In parallel there is growing recognition that early intervention will be key for successful treatments aimed at disease modification. At present, there is a lack of a comprehensive understanding of disease progression and the many factors that contribute to disease progression heterogeneity. Novel therapeutic targets and trial designs that incorporate existing and new biomarkers to evaluate drug effects independently and in combination are required. The integration of robust clinical data sets is viewed as a powerful approach to hasten medical discovery and therapies, as is being realized across diverse disease conditions employing big data analytics for healthcare. The application of lessons learned from parallel efforts is critical to identify barriers and enable a viable path forward. A roadmap is presented for a regulatory, academic, industry and advocacy driven integrated initiative that aims to facilitate and streamline new drug trials and registrations in Parkinson’s disease.
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spelling pubmed-48871292016-05-31 Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1) Stephenson, Diane Hu, Michele T. Romero, Klaus Breen, Kieran Burn, David Ben-Shlomo, Yoav Bhattaram, Atul Isaac, Maria Venuto, Charles Kubota, Ken Little, Max A. Friend, Stephen Lovestone, Simon Morris, Huw R. Grosset, Donald Sutherland, Margaret Gallacher, John Williams-Gray, Caroline Bain, Lisa J. Avilés, Enrique Marek, Ken Toga, Arthur W. Stark, Yafit Forrest Gordon, Mark Ford, Steve J Parkinsons Dis Research Article Parkinson’s disease is a complex heterogeneous disorder with urgent need for disease-modifying therapies. Progress in successful therapeutic approaches for PD will require an unprecedented level of collaboration. At a workshop hosted by Parkinson’s UK and co-organized by Critical Path Institute’s (C-Path) Coalition Against Major Diseases (CAMD) Consortiums, investigators from industry, academia, government and regulatory agencies agreed on the need for sharing of data to enable future success. Government agencies included EMA, FDA, NINDS/NIH and IMI (Innovative Medicines Initiative). Emerging discoveries in new biomarkers and genetic endophenotypes are contributing to our understanding of the underlying pathophysiology of PD. In parallel there is growing recognition that early intervention will be key for successful treatments aimed at disease modification. At present, there is a lack of a comprehensive understanding of disease progression and the many factors that contribute to disease progression heterogeneity. Novel therapeutic targets and trial designs that incorporate existing and new biomarkers to evaluate drug effects independently and in combination are required. The integration of robust clinical data sets is viewed as a powerful approach to hasten medical discovery and therapies, as is being realized across diverse disease conditions employing big data analytics for healthcare. The application of lessons learned from parallel efforts is critical to identify barriers and enable a viable path forward. A roadmap is presented for a regulatory, academic, industry and advocacy driven integrated initiative that aims to facilitate and streamline new drug trials and registrations in Parkinson’s disease. IOS Press 2015-09-14 /pmc/articles/PMC4887129/ /pubmed/26406139 http://dx.doi.org/10.3233/JPD-150570 Text en IOS Press and the authors. All rights reserved https://creativecommons.org/licenses/by-nc/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License (https://creativecommons.org/licenses/by-nc/4.0/) , which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Stephenson, Diane
Hu, Michele T.
Romero, Klaus
Breen, Kieran
Burn, David
Ben-Shlomo, Yoav
Bhattaram, Atul
Isaac, Maria
Venuto, Charles
Kubota, Ken
Little, Max A.
Friend, Stephen
Lovestone, Simon
Morris, Huw R.
Grosset, Donald
Sutherland, Margaret
Gallacher, John
Williams-Gray, Caroline
Bain, Lisa J.
Avilés, Enrique
Marek, Ken
Toga, Arthur W.
Stark, Yafit
Forrest Gordon, Mark
Ford, Steve
Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title_full Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title_fullStr Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title_full_unstemmed Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title_short Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease (1)
title_sort precompetitive data sharing as a catalyst to address unmet needs in parkinson’s disease (1)
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4887129/
https://www.ncbi.nlm.nih.gov/pubmed/26406139
http://dx.doi.org/10.3233/JPD-150570
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