Abstract
Objective To investigate the association between cumulative blood pressure (BP) load and renal fibrosis indices quantified by T 1 mapping, using large-scale population data from the UK Biobank (UKB). Methods This cross-sectional study included 4 951 participants from the UKB who underwent renal coronal T 1 mapping between January 2014 and October 2024. Cumulative blood pressure load, including systolic blood pressure (SBP) and diastolic blood pressure (DBP) loads, was calculated based on BP measurements taken at baseline and the first follow-up with an interval of (12.6±1.7) years. Three multiple linear regression models were employed to analyze the associations between cumulative BP load and renal cortical T 1 value (T 1-C ), medullary T 1 value (T 1-M ), and corticomedullary T 1 difference (ΔT 1 ), with stepwise adjustment for potential confounders. Model 1 adjusted for age and sex; Model 2 further adjusted for ethnicity, Townsend deprivation index, and body mass index; Model 3 additionally adjusted for diabetes, history of antihypertensive medication use, total cholesterol, C-reactive protein, smoking status, and alcohol consumption frequency. Results Cumulative SBP load showed a robust negative association with T 1-M across all models (Model 1: β =-0.537, P <0.001; Model 2: β =-0.422, P <0.001; Model 3: β =-0.383, P <0.001). A robust negative association was also observed between cumulative SBP load and ΔT 1 in all models (Model 1: β =-0.341, P< 0.001; Model 2: β =-0.239, P =0.012; Model 3: β =-0.212, P =0.032). No significant association was found between cumulative SBP load and T 1-C in any of the models (all P >0.05). Cumulative DBP load was negatively associated with ΔT 1 in Model 1 ( β= -0.355, P =0.014), but showed no significant association in Models 2 and 3 (both P >0.05). Conclusion Based on large-scale general population data, elevated cumulative SBP load is associated with reduced renal T 1-M and decreased ΔT 1 .</p>