Project description
Exposing the impact of environmental factors on debilitating lung disease
The concept of exposome reflects the cumulative measure of environmental influences and associated biological responses from the perinatal period onwards, including exposures from the environment, diet, behavior and endogenous processes. Its importance to health and disease is undeniable, particularly for chronic respiratory diseases, as they are the leading causes of environment-related deaths. Chronic obstructive pulmonary disease and cystic fibrosis are two highly debilitating chronic respiratory diseases sharing common characteristics, yet presenting opposite roots: the former appears to be intricately related to the exposome while the latter not. To address the impact of exposome on the course of these two diseases, the EU-funded REMEDIA project is developing approaches combining the collection of exposome and clinical data, advanced machine learning, the use of atmospheric simulation chambers, and the development of individual sensor devices. Such approach could point the way to effective prevention and treatment.
Objective
Chronic obstructive pulmonary disease (COPD) and cystic fibrosis (CF) are two very debilitating non-communicable diseases that are of particular interest to consider in parallel in a human exposome study. Their roots are opposite: COPD is currently considered to be mainly related to the external exposome, while factors outside of the exposome play a major role in CF. However, COPD and CF share common characteristics such as high phenotypic variability of unknown origin, which prevents good therapeutic efficacy. It is therefore clear that the overall picture must be supplemented by taking into account additional components of the exposome than those currently considered in COPD and CF. Thus, the overall objective of the REMEDIA project is to extend the understanding of the contribution of the exposome, taken as a complex set of different components, to COPD and CF diseases. We will exploit data from existing cohorts and population registries in order to create a unified global database gathering phenotype and exposome information; we will develop a flexible individual sensor device combining environmental and biomarker toolkits; and use a versatile atmospheric simulation chamber to simulate the health effects of complex exposomes. We will use machine learning supervised analyses and causal inference models to identify relevant risk factors; and econometric and cost-effectiveness models to assess the costs, performance and cost-effectiveness of a selection of prevention strategies. The results will be used to develop guidelines to better predict disease risks and constitute the elements of the REMEDIA toolbox (global unified database, sensor device, versatile atmospheric simulation chamber, machine learning supervised analyses, causal inference model, Pan-European multi-criteria risk assessment tool, econometric models, cost-effectiveness models, new guidelines and recommendations). Deciphering the impact of environmental components throughout life on the phenotypic variability of COPD and CF could represent a major breakthrough in reducing morbidity and mortality associated with these two non-curable diseases and would lead to the identification of modifiable risk factors on which preventive action could be implemented. REMEDIA will be part of the European Human Exposome Network established between the 9 projects funded within the Human Exposome programme call H2020-SC1-BHC-2018-2020.
Fields of science
- social scienceseconomics and businesseconomicseconometrics
- social sciencessociologydemographymortality
- natural sciencescomputer and information sciencesdatabases
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringsensors
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Funding Scheme
RIA - Research and Innovation actionCoordinator
75654 Paris
France