Exposome-wide patterns predict brain health in aging
Promoting brain health is vital for well-being and reducing healthcare burdens. Brain health as measured with the Brain Age Gap (BAG) - the difference between chronological and predicted brain age- relates to many factors. However, a holistic view, integrating the range of factors an individual brain is exposed to, is missing for understanding how the exposome shapes brain health. After computing BAG as an indicator of grey matter (GM) health, we predicted it using machine learning based on 261 exposome variables (spanning biomedical, environmental, lifestyle, socio-affective, and early life domains) in UK Biobank participants. Exposome data can predict GM health with factors pertaining to cardiovascular and bone health, along with alcohol and smoking, nutrition and diabetes showing greater contribution to the prediction. In such domains, life period and duration of exposure appeared crucial. These findings call for early prevention in cardiovascular and metabolic health to promote life-long brain health.
Authors
- Eliana Nicolaisen‐Sobesky (ORCID: https://orcid.org/0000-0002-4806-2863)
- Simon Bodo Eickhoff (ORCID: https://orcid.org/0000-0001-6363-2759)
- Sarah Genon (ORCID: https://orcid.org/0000-0002-7087-7882)
- Somayeh Maleki Balajoo (ORCID: https://orcid.org/0000-0002-5238-2448)
- Felix Hoffstaedter (ORCID: https://orcid.org/0000-0001-7163-3110)
- Holger Schwender (ORCID: https://orcid.org/0000-0002-2858-6715)
- Federico Raimondo (ORCID: https://orcid.org/0000-0003-4087-8259)
- Shammi More (ORCID: https://orcid.org/0000-0002-1272-217X)
- Jianxiao Wu (ORCID: https://orcid.org/0000-0002-4866-272X)
- Mostafa Mahdipour (ORCID: https://orcid.org/0000-0001-8752-0938)
- Masoud Tahmasian (ORCID: https://orcid.org/0000-0003-3999-3807)
Institutions
- University of Liège (BE)
- Forschungszentrum Jülich (DE)
- University of Cologne (DE)
- Fraunhofer Institute for Algorithms and Scientific Computing (DE)
- Jülich Aachen Research Alliance (DE)
- University Hospital Cologne (DE)
- Heinrich Heine University Düsseldorf (DE)
Publication Details
- Journal
- Nature Communications
- Published
- 2026-04-10
- DOI
- https://doi.org/10.1038/s41467-026-71271-9
- Primary Topic
- Health, Environment, Cognitive Aging
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- European Commission
- Deutsche Forschungsgemeinschaft
- HORIZON EUROPE Framework Programme