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Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project

BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major challenge for healthcare. Heterogeneities in clinical manifestations and in disease progression are relevant traits in COPD with impact on patient management and prognosis. It is hypothesized that COPD heterogeneity results from the...

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Autores principales: Miralles, Felip, Gomez-Cabrero, David, Lluch-Ariet, Magí, Tegnér, Jesper, Cascante, Marta, Roca, Josep
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255885/
https://www.ncbi.nlm.nih.gov/pubmed/25472742
http://dx.doi.org/10.1186/1479-5876-12-S2-S12
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author Miralles, Felip
Gomez-Cabrero, David
Lluch-Ariet, Magí
Tegnér, Jesper
Cascante, Marta
Roca, Josep
author_facet Miralles, Felip
Gomez-Cabrero, David
Lluch-Ariet, Magí
Tegnér, Jesper
Cascante, Marta
Roca, Josep
author_sort Miralles, Felip
collection PubMed
description BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major challenge for healthcare. Heterogeneities in clinical manifestations and in disease progression are relevant traits in COPD with impact on patient management and prognosis. It is hypothesized that COPD heterogeneity results from the interplay of mechanisms governing three conceptually different phenomena: 1) pulmonary disease, 2) systemic effects of COPD and 3) co-morbidity clustering. OBJECTIVES: To assess the potential of systems medicine to better understand non-pulmonary determinants of COPD heterogeneity. To transfer acquired knowledge to healthcare enhancing subject-specific health risk assessment and stratification to improve management of chronic patients. METHOD: Underlying mechanisms of skeletal muscle dysfunction and of co-morbidity clustering in COPD patients were explored with strategies combining deterministic modelling and network medicine analyses using the Biobridge dataset. An independent data driven analysis of co-morbidity clustering examining associated genes and pathways was done (ICD9-CM data from Medicare, 13 million people). A targeted network analysis using the two studies: skeletal muscle dysfunction and co-morbidity clustering explored shared pathways between them. RESULTS: (1) Evidence of abnormal regulation of pivotal skeletal muscle biological pathways and increased risk for co-morbidity clustering was observed in COPD; (2) shared abnormal pathway regulation between skeletal muscle dysfunction and co-morbidity clustering; and, (3) technological achievements of the projects were: (i) COPD Knowledge Base; (ii) novel modelling approaches; (iii) Simulation Environment; and, (iv) three layers of Clinical Decision Support Systems. CONCLUSIONS: The project demonstrated the high potential of a systems medicine approach to address COPD heterogeneity. Limiting factors for the project development were identified. They were relevant to shape strategies fostering 4P Medicine for chronic patients. The concept of Digital Health Framework and the proposed roadmap for its deployment constituted relevant project outcomes.
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spelling pubmed-42558852014-12-05 Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project Miralles, Felip Gomez-Cabrero, David Lluch-Ariet, Magí Tegnér, Jesper Cascante, Marta Roca, Josep J Transl Med Review BACKGROUND: Chronic Obstructive Pulmonary Disease (COPD) is a major challenge for healthcare. Heterogeneities in clinical manifestations and in disease progression are relevant traits in COPD with impact on patient management and prognosis. It is hypothesized that COPD heterogeneity results from the interplay of mechanisms governing three conceptually different phenomena: 1) pulmonary disease, 2) systemic effects of COPD and 3) co-morbidity clustering. OBJECTIVES: To assess the potential of systems medicine to better understand non-pulmonary determinants of COPD heterogeneity. To transfer acquired knowledge to healthcare enhancing subject-specific health risk assessment and stratification to improve management of chronic patients. METHOD: Underlying mechanisms of skeletal muscle dysfunction and of co-morbidity clustering in COPD patients were explored with strategies combining deterministic modelling and network medicine analyses using the Biobridge dataset. An independent data driven analysis of co-morbidity clustering examining associated genes and pathways was done (ICD9-CM data from Medicare, 13 million people). A targeted network analysis using the two studies: skeletal muscle dysfunction and co-morbidity clustering explored shared pathways between them. RESULTS: (1) Evidence of abnormal regulation of pivotal skeletal muscle biological pathways and increased risk for co-morbidity clustering was observed in COPD; (2) shared abnormal pathway regulation between skeletal muscle dysfunction and co-morbidity clustering; and, (3) technological achievements of the projects were: (i) COPD Knowledge Base; (ii) novel modelling approaches; (iii) Simulation Environment; and, (iv) three layers of Clinical Decision Support Systems. CONCLUSIONS: The project demonstrated the high potential of a systems medicine approach to address COPD heterogeneity. Limiting factors for the project development were identified. They were relevant to shape strategies fostering 4P Medicine for chronic patients. The concept of Digital Health Framework and the proposed roadmap for its deployment constituted relevant project outcomes. BioMed Central 2014-11-28 /pmc/articles/PMC4255885/ /pubmed/25472742 http://dx.doi.org/10.1186/1479-5876-12-S2-S12 Text en Copyright © 2014 Miralles et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/4.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Review
Miralles, Felip
Gomez-Cabrero, David
Lluch-Ariet, Magí
Tegnér, Jesper
Cascante, Marta
Roca, Josep
Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title_full Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title_fullStr Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title_full_unstemmed Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title_short Predictive medicine: outcomes, challenges and opportunities in the Synergy-COPD project
title_sort predictive medicine: outcomes, challenges and opportunities in the synergy-copd project
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4255885/
https://www.ncbi.nlm.nih.gov/pubmed/25472742
http://dx.doi.org/10.1186/1479-5876-12-S2-S12
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