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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
IOS Press
2015
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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. |
format | Online Article Text |
id | pubmed-4887129 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | IOS Press |
record_format | MEDLINE/PubMed |
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)
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title_full | Precompetitive Data Sharing as a Catalyst to Address Unmet Needs in Parkinson’s Disease
(1)
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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)
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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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