MRI-based age gaps linked to disease and lifestyle in UK Biobank and German National Cohort
In 70,000 MRI scans from two cohort studies, models predicted chronological age from single organs and the whole body; accelerated ageing relative to a healthy reference cohort was associated with some chronic diseases and lifestyle factors. [1]
Automatic summary · not editorially reviewed
The key findings
The study evaluated ageing patterns using 70,000 MRI scans from the UK Biobank and the German National Cohort. [1]
Accelerated ageing was significantly associated with diseases including multiple sclerosis and chronic obstructive pulmonary disease, and with smoking and physical activity. [1]
Virtual substitution of anatomical regions showed that local substitutions can influence global ageing patterns. [1]
The source at a glance
- Study type / format
- Large-scale observational imaging study (abstract)
- Population / context
- Participants in the UK Biobank and the German National Cohort whose MRI scans were analysed.
- Summary based on
- Study abstract
- Original publication
- June 13, 2026
Age prediction from organ MRI in two cohorts
The study used 70,000 MRI scans from the UK Biobank and the German National Cohort. Models predicted chronological age from the brain, heart, liver, spine, lungs, muscle and intestine, and from the whole body. From these predictions the researchers derived age gaps relative to a strictly healthy reference cohort, which they used to identify accelerated ageing patterns.
Supporting source [1]
Accelerated ageing associated with diseases and lifestyle
The detected accelerated ageing was significantly associated with specific chronic diseases, including multiple sclerosis and chronic obstructive pulmonary disease, and with lifestyle factors such as smoking and physical activity. These are associations, not evidence that ageing patterns cause these diseases or that changing lifestyle alters them.
Supporting source [1]
Virtual substitution framework and stated aims
A virtual ageing framework was developed to explore counterfactual scenarios by substituting anatomical regions across subjects and quantifying local impacts on global biological age. Virtual substitution showed that local substitutions can influence global ageing patterns. The authors present this framework as a foundation for risk stratification and personalised health assessment, not as a validated clinical tool.
Supporting source [1]
How to interpret this
Abstract only; the full text was not reviewed. The abstract reports associations, not causal effects, and does not give effect sizes, follow-up or validation of the virtual ageing framework.
Based on the study abstract; the full paper, tables and supplementary data were not reviewed.
Source & supporting passages
Mueller TT, Starck S, Llalloshi R, Kaissis G, Ziller A, Graf R, Schlett C, Ringhof S, Bamberg F, Wielpütz M, Völzke H, Leitzmann M, Niendorf T, Keil T, Krist L, Pischon T, Karch A, Berger K, Kirschke J, Rueckert D, Braren R. · europepmc.org · June 13, 2026