ADAIR - From air pollution to brain pollution - novel biomarkers to unravel the link of air pollution and Alzheimer's disease

Starting date
January 1, 2020
Duration (months)
Computer Science, Department of Engineering for Innovation Medicine
Managers or local contacts
Giugno Rosalba

Drawing upon a unique combination of expertise and state-of-the-art methods and tools in
neurobiology, epidemiology, clinical science, environmental science and data science, the ADAIR consortium is uniquely placed to, for the first time, provide crucial mechanistic insight about the effects of air pollutants on the brain in humans and discover biomarkers for air pollution and AD risk prediction. ADAIR applies a precision medicine approach to stratify individuals to subgroups
for risk estimation and future AD prevention, ultimately aiming to target air pollution induced effects
in those individuals that can most benefit from them. The project investigates the novel, ambitious
hypothesis that the pollutant exposure environment of an individual alters cellular mechanisms
and functions, resulting in the expression of measurable biomarkers. By identifying biomarkers,
the individuals with increased AD risk can be stratified prior to the disease onset and preventive measures can be targeted to the specific at-risk populations in order to be most effective.


UE - Unione Europea
Funds: assigned and managed by the department

Project participants

Nicola Bombieri
Full Professor
Carlo Combi
Full Professor
Rosalba Giugno
Full Professor

Collaboratori esterni

Tarja Malm
University of Eastern Finland, Finland
Katja Kanninen
University of Eastern Finland, Finland
Thomas Sandström
University of Umeå, Sweden
Anna Oudin
University of Umeå, Sweden
Jan Topinka
The Czech Academy of Science, Czech Republic
Arfan Ikram
Erasmus University Medical Center, The Netherlands
Research areas involved in the project
Bioinformatica e informatica medica
Life and medical sciences


Research facilities