Evidence supporting a causal relationship between CP morphological parameters and dementia risk that is partly mediated by specific brain phenotypes is provided, and it is suggested that the CP parameters may be valuable biomarkers for structural brain aging and dementia.
Abstract
The choroid plexus (CP) plays a crucial role in cerebrospinal fluid secretion and the maintenance of brain homeostasis. Its structure and function have been implicated in the pathogenesis of dementia; however, the longitudinal associations of CP with dementia and structural brain biomarkers remain unclear. This prospective cohort study utilized data from the UK Biobank, including 45,306 participants (mean age, 64 years; 47.2% men) who underwent 3.0 T multiparametric brain MRI scans. CP volume and signal intensity were quantified by FreeSurfer software. Measures of grey or white matter macrostructures or microstructures were derived from structural or diffusion MRI. Dementia outcomes were identified using linkage of hospital admission records or death register. Tests for global and domain-specific cognitive functions were administrated at baseline and follow up. Data were analyzed using Cox proportional hazards, Mendelian randomization, linear mixed-effects models, and mediation models. Advancing age was correlated with increased CP volume (R = 0.49, P < 0.001) and decreased CP signal intensity (R = -0.44, P < 0.001). Meanwhile, greater CP volume was associated with an increased risk of all-cause dementia (hazard ratio, 1.61; 95% confidence interval, 1.32-1.97), while higher CP intensity was correlated with a reduced dementia risk (0.44; 0.36-0.55). Reduced volumes of the hippocampus, amygdala, and nucleus accumbens, increased white matter hyperintensity volume, mean diffusivity, and isotropic compartment volume fraction, and decreased intracellular volume fraction significantly mediated up to 42.9% of these associations. This study provides evidence supporting a causal relationship between CP morphological parameters and dementia risk that is partly mediated by specific brain phenotypes, and further suggests that the CP parameters may be valuable biomarkers for structural brain aging and dementia.
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