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Authors & Affiliations
Nazife Ayyildiz, Karsten Mueller, Samyogita Hardikar, Frauke Beyer, Cornelia Enzenbach, Ronny Baber, Kerstin Wirkner, Silke Zachariae, Johanna Girbardt, Jordan Hassett, Alfred Anwander, Tobias Elze, Mengyu Wang, A. Veronica Witte, Franziska G. Rauscher, Arno Villringer
Abstract
Cardiovascular risk (CVR) factors affect both the retina and the brain. This study investigated whether circumpapillary retinal nerve fiber layer thickness (cpRNFLT) might serve as a surrogate marker of CVR-associated gray-matter density (GMD) and white-matter microstructure (WMM) differences in the brain. We cross-sectionally evaluated retinal Optical Coherence Tomography and brain T1- and Diffusion-weighted Magnetic Resonance Imaging data of the same participant in population-based LIFE-Adult study (Leipzig, Germany). We included 769 participants [44% female, meanAge (SD):54.1(15.8)] in voxel-based-morphometry (GMD) and 702 participants [37% female, meanAge (SD):51(16.5)] in tract-based-spatial-statistics (WMM) analyses. We used multiple regression with cpRNFLT and CVR-phenotypes [i.e., status of arterial-hypertension, diabetes-mellitus (DM), smoking and physical activity, and values of body-mass-index (BMI), low-density-lipoprotein, high-density-lipoprotein] as predictor (adjusting for age, sex, total-intracranial-volume and ocular-refraction), and brain GMD and WMM as predicted variables. cpRNFLT was positively associated with GMD in occipital, inferior-temporal, superior-parietal, and cerebellar regions, and WMM (i.e., Fractional Anisotropy) throughout the main white-matter bundles of the brain including Optic- and Thalamic-Radiations, Superior-, Inferior-Longitudinal and Inferior-Fronto-Occipital Fasciculi and Corpus Callosum. When each CVR factor was regressor, we found that higher BMI and having DM, active smoking, and arterial-hypertension were associated with lower GMD and WMM. There was overlap between the associations (Figure 1). This population-based cross-sectional analysis using retina and brain imaging data together suggests that the retina might represent some CVR-associated changes in the brain. Longitudinal and interventional studies can help to better understand the nature and direction of the relationships shown here between cpRNFLT, brain structure, and CVR phenotypes.