Exposome Network
LongITools was part of the European Human Exposome Network, the world's largest network of projects (at the time) which studied the impact of environmental exposures on health.
LongITools
A European research project which studied the interactions between environmental, lifestyle and biological factors to determine the risks of chronic cardiovascular and metabolic diseases. The project ran from 1st January 2020 to 30th June 2025. This website will not be updated beyond August 2025.
CARDIOMETABOLIC DISEASE – IT’S TIME FOR A NEW APPROACH
Cardiovascular diseases are the leading cause of deaths in Europe, and metabolic diseases, such as type 2 diabetes and obesity, have reached epidemic proportions worldwide and continue to become more prevalent. Together, they put significant strains on healthcare budgets and services, and affect the daily lives millions of EU citizens. It is essential that we understand more about the causes of these diseases to aid in developing policies and interventions to both reverse and prevent them.
The increase in chronic cardiovascular and metabolic diseases has arisen alongside significant changes in our lifestyles and living environments. The circumstances in which we live, from the air we breathe, to our lifestyle choices, the built environment that surrounds us and the socioeconomic challenges everyday life brings, have fundamental impacts on our health. The collective impact of these circumstances, or exposures, across the life-course, is relatively unknown. Therefore, we should no longer look at health as a consequence of individual events, but as a complex journey.
Updates
Our Project Partners
University of Oulu
The University of Oulu is responsible for coordinating and managing the project and leading work package 6, 10 and 11.
Erasmus MC
Erasmus is leading work package 4 and has research activities in work packages 3, 5, 6 and 7.
Imperial College London
Imperial College London is leading work package 3 and is responsible for the development of statistical methods and strategies.
Beta Technology
Beta led work package 9, coordinating all communication, dissemination and exploitation activity for the project.
University of Eastern Finland
The University of Eastern Finland is studying food-borne or lifestyle related environmental exposures and conducting metabolomics analysis.
Chalmers University of Technology
Chalmers is leading the identification of metabolomic and multiomic profiles of exposures in pregnancy and early life in WP4.
University Medical Center Groningen
UMCG leads work package 2 and is responsible for development of FAIR data infrastructure for multi-centre data stewardship and analysis.
National Institute of Medical Research
Inserm is responsible of 3 cohorts with relevant data for WPs 4-6 and is leading tasks 4.3 and 4.4.
University College London
University College London is participating in WP8 and is leading the development of the life-course model of health production.
Utrecht University
Utrecht is involved in research activities in work packages 2,3,4,5 and 6, leading on the modelling of environmental exposures.
University of Surrey
Surrey will participate in machine learning prediction in work package 3 and perform exposome-based analysis in very large data sets.
Amsterdam University Medical Centers, location AMC
Amsterdam University Medical Centre is mainly involved in WP6, responsible for studying the environmental determinants of cardiometabolic health trajectories.
University of Oslo
The University of Oslo will lead on RNA expression analysis in work packages 4,5 and 6.
University of Bristol
University of Bristol, home of ALSPAC, will lead WP5 on exposome trajectories and associated health in adolescents and young adults.
University of Barcelona
The University of Barcelona is leading work package 7 and is responsible for developing a proof-of-concept app for health monitoring.
Ab.Acus
ABACUS is developing the risk assessment app in work package 7 and running the proof of concept in Italy.
Cynexo
CyNexo is contributing to work package 7 by developing innovative IoT platforms and sensors to collect physiological and environmental data.
Tor Vergata University of Rome
UNITOV is leading work package 8, focusing on the economic implications and dynamic microsimulation modelling.
