Abstract
Background Vascular risk factors (VRF) exert deleterious effects on the vasculature throughout the body, including cerebrovasculature. These effects are characterized by structural and functional alterations in the cerebrovasculature, which in turn, may impact white matter (WM) microstructure. We sought to determine the relative contributions of VRF to alterations in WM tract microstructure in a large, multi‐study cohort using diffusion tensor imaging (DTI). Method We collated datasets from the Vanderbilt Memory and Aging Project (VMAP) and several Alzheimer's Disease (AD) Sequencing Project‐Phenotype Harmonization Consortium (ADSP‐PHC) cohorts, including diffusion magnetic resonance imaging and VRF (n = 1,304, 72.3±9.5 years, 53% female). ADSP‐PHC cohorts included in this study were the AD Neuroimaging Initiative (ADNI), the National Alzheimer's Coordinating Center (NACC), the Religious Orders Study/Rush Memory and Aging Project/Minority Aging Research Study (ROS/MAP/MARS), and the Wisconsin Registry of Alzheimer's Prevention (WRAP). To assess the contributions of VRF to WM microstructure, we quantified the cross‐sectional association between VRF and white matter microstructure. Specifically, VRF were used to predict differences in free‐water (FW) and fractional anisotropy (FAFWcorr) across 10 AD‐relevant WM tracts. VRF variables studied included hypertension, diabetes, heart disease, body mass index (BMI), and Atherosclerotic Cardiovascular Disease Framingham Risk Score (FRS). Covariates included age, sex, education, race, apolipoprotein E‐ɛ4 status, and cognitive status. Models were corrected for multiple comparisons using the FDR approach. Result Hypertension and heart disease were significantly associated with FAFWcorr in all tracts, while FRS was a significant predictor for FAFWcorr in 9/10 tracts (top associations shown in Figure 1). Diabetes and BMI were not significant predictors for FAFWcor in any of the tracts. Hypertension was a significant predictor for FW in all tracts, and FRS was a significant predictor only in the cingulum. Diabetes, BMI, and heart disease were not significant predictors for FW in any of the tracts. Conclusion This study demonstrates that VRF, especially hypertension, heart disease, and FRS, differentially impact WM tract microstructure, providing insight into their unique contributions to WM microstructure in a large multi‐cohort of older adults. These findings underscore the critical importance of managing vascular risk factors to preserve white matter integrity to potentially prevent cognitive decline.