Key result
Visceral adipose tissue showed a strong association with incident type 2 diabetes in females, and MRI-derived adiposity traits improved cardiometabolic risk prediction beyond BMI.
Why the study?
BMI does not capture fat distribution and ectopic fat deposition, prompting the assessment of age-related differences in MRI-derived body composition measures and their relevance for cardiometabolic disease risk.
Cohort (n=36,831)
Yes
MRI-derived adiposity measures, particularly visceral adipose tissue, improve cardiometabolic risk prediction beyond BMI and highlight the harmful effects of age-related fat redistribution.
Answers are grounded in this paper and cite their sources.
Supports VAT as T2D risk marker in females; leaves open whether MRI adiposity traits enhance prediction beyond BMI in practice.
Background/Objectives Body mass index (BMI) is widely used to assess obesity-related disease risk but does not capture important aspects of fat distribution and ectopic fat deposition. Here we assess age-related differences in magnetic resonance imaging (MRI)-derived body composition measures and their relevance for cardiometabolic disease risk. Subjects/Methods We analysed 36,831 UK Biobank participants (45–82 years), with MRI-derived measures, including 1,688 participants with longitudinal measures. Nine MRI-derived traits and five cardiometabolic outcomes were analysed: type 2 diabetes (T2DM), hypertension, hyperlipidaemia, myocardial infarction, and cerebral infarction. Cox regression was used to estimate the association between adiposity traits and clinical outcomes and stepwise Cox regression to determine the relative importance of the variables. Significant associations were validated using univariable and multivariable Mendelian randomization (MR). Results At the initial imaging session, several MRI-derived traits, including visceral adipose tissue (VAT) volume and pancreatic and thigh muscle fat infiltration, were higher with age at assessment and increased within participants between imaging timepoints in the longitudinal sub-cohort, despite similar BMI. In contrast, liver and pancreas volume were lower in older participants. All MRI-derived traits were associated with at least one clinical outcome. However, after adjustment for multiple testing and for BMI, only T2DM and hyperlipidemia remained significant. Including MRI-derived traits alongside BMI improved risk prediction, particularly in males. VAT showed the strongest association and accounted for a substantial proportion of the T2DM risk traditionally attributed to BMI in both females and males, as supported by multivariable MR. Conclusions Ageing is associated with progressive, depot-specific redistribution of body fat with increasing accumulation in metabolically harmful depots later in life. MRI-derived adiposity measures provide important insight into these risk-relevant patterns. Future clinical translation may depend on more scalable tools or biological markers that capture visceral and ectopic fat accumulation and improve cardiometabolic risk assessment beyond BMI.
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Rask-Andersen et al. (2026) conducted a cohort in Cardiometabolic disease (n=36,831). Visceral adipose tissue (VAT) and ectopic fat vs. Lower levels of VAT and ectopic fat was evaluated on Incident type 2 diabetes associated with visceral adipose tissue in females (HR 3.33, 95% CI 2.83-3.91). Visceral adipose tissue showed a strong association with incident type 2 diabetes in females, and MRI-derived adiposity traits improved cardiometabolic risk prediction beyond BMI.
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