Title: Transport derived Ultrafines and the Brain Effects
EU H2020 Research and innovation actions (RIA)
Participant's number: 14
Project number: H2020-MG-2018-2019-2020
Project website: ntx.iras.uu.nl/node/118
The aim of the research is to study the effects of smallest traffic related ultrafine- or nanoparticles beyond the lung on brain health. Air pollutants have been shown to cause a vast amount of different adverse health effects. These effects include impairment of many respiratory (e.g. asthma, COPD) and cardiovascular (ischemic heart disease, infarction, stroke) diseases. However, in recent years, the evidence showing effects beyond the lungs and circulatory system are becoming more evident. Neurological diseases, namely Alzheimer´s disease (AD) has shown to be associated with living near traffic. However, reason for this has remained unresolved until today. This consortium aims on revealing the mechanisms and exposures both behind cardiorespiratory diseases and beyond the current knowledge in neurological diseases. This consortium includes experts in areas of aerosol technology, emission research, engine and fuel research, human clinical studies, epidemiology, emission inventories, inhalation toxicology, neurotoxicology and disease mechanism studies. This enables research of resolving the effects of nanoparticles from different traffic modes for both air quality and concomitant toxic effect of these air pollutants. In this study, we will investigate adverse effects of air pollutants using cell cultures, animal exposures and volunteered human exposures as well as the material from epidemiological cohort study. These are going to be compared according to inflammatory, cytotoxic and genotoxic changes and furthermore beyond the current state of the art to neurotoxic and brain health effects. With this approach, we are aiming in to a comprehensive understanding of the adverse effects of nanoparticles from traffic. In current situation only particles above 23nm are measured in regulations, traditional toxicological methods are used in risk assessment and emission inventories and regulations are largely based on old technology engines. Our project will change this.