Why the study?
Cardiovascular diseases remain a primary cause of global mortality, underscoring the need for biomarkers that capture systemic aging risks.
The brain age gap (BAG) serves as an integrative imaging-derived biomarker that correlates with incident cardiovascular disease risk and demonstrates a shared genetic basis and bidirectional causal relationship with cardiovascular health.
Should not yet change BAG use or CVD counseling; leaves open a possible protective genetic heart-brain link.
Cardiovascular diseases (CVDs) remain a primary cause of global mortality, underscoring the need for biomarkers that capture systemic aging risks. T1-weighted magnetic resonance imaging (MRI) data from UK Biobank (UKB) participants were utilized to develop a three-dimensional vision transformer (3D-ViT) model for predicting brain age and computing BAG, an imaging-derived indicator of biological aging. Causal BAG-CVD relationships were assessed through bidirectional Mendelian randomization (MR). The results substantiated significant brain-heart interactions, revealing that acute myocardial infarction (AMI) and chronic ischemic heart disease (CIH) were associated with decelerated brain aging (OR = 0.783; OR = 0.847), while an elevated BAG correlated with a reduced risk of AMI and CIH (OR = 0.954; OR = 0.969). These findings highlight BAG as an integrative indicator combining neuroimaging and genetic profiles. The observed bidirectional causality offers a biological framework for defining intervention strategies targeting comorbid brain and cardiovascular health.
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Lyu et al. (2026) studied this question.
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