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AI MRI Study Links Visceral Fat to Faster Heart Aging, Not BMI

Researchers estimated a cardiovascular 'heart age' from UK Biobank imaging to show how specific fat depots track with premature ageing.

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Overview

  • Using whole-body and cardiac MRIs from 21,241 UK Biobank participants, a machine-learning model derived an age-delta reflecting vascular stiffness, cardiac motion, and myocardial fibrosis.
  • Visceral, liver, and muscle-infiltrated fat were among the strongest predictors of accelerated cardiovascular ageing in both sexes, outperforming body mass index as a risk indicator.
  • Sex-specific patterns emerged, with android and abdominal subcutaneous fat linked to higher age-delta in men, while gynoid fat was protective in premenopausal women and higher estradiol correlated with slower ageing.
  • Physical activity modestly attenuated the adverse association of visceral fat with cardiovascular ageing, diabetes amplified it, and metformin use was associated with a somewhat reduced effect.
  • The analysis is cross-sectional and drawn from a cohort with limited diversity, prompting calls for longitudinal studies and trials testing fat-targeting interventions such as GLP-1 therapies.