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Peripheral TARC (CCL17) Levels Track Widespread Microstructural Vulnerability in Cognitively Unimpaired Older African
Soodeh Moallemian1, Samira Raminfard2, Isha Mhatre-Winters3
1School of Arts and Sciences, Center for Molecular and Behavioral Neuroscience, Rutgers University - Newark.
Introduction:
Neuroinflammation and immune dysregulation are increasingly recognized as early drivers of Alzheimer's disease (AD) and AD-related dementias (AD/ADRD), often emerging decades before the onset of clinical symptoms. Despite this, there remains a critical need for non-invasive biomarkers that can capture these early processes, particularly in African Americans, a population at elevated risk for AD/ADRD yet underrepresented in neuroimaging research. In this study, we investigated the relationship between systemic plasma inflammatory markers and brain microstructural integrity in cognitively unimpaired older African Americans.
Methods:
Forty-one participants (mean age = 68.68 years) underwent MRI scanning and multi-plex plasma-based inflammatory marker quantification. Microstructural changes were quantified using Diffusion Weighted Imaging (DWI) metrics, including mean diffusivity (MD), radial diffusivity (RD), mean kurtosis (MK), and radial kurtosis (RK). Voxel-wise general linear models, and cluster-based models were used to examine associations between plasma-derived inflammatory markers and brain microstructure.
Results:
Higher TARC levels were associated with widespread increases in MD and RD across both gray and white matter, implicating reduced microstructural integrity and potential myelin disruption. In contrast, kurtosis-based metrics demonstrated more spatially selective and generally weaker associations, with MK and RK showing limited decreases primarily within white matter tracts. Cluster-level analyses confirmed the robustness of diffusivity findings and highlighted consistent effect sizes across multiple regions.
Discussion:
These findings suggest that elevated TARC is linked to early microstructural alterations detectable with diffusion MRI, with diffusivity metrics demonstrating greater sensitivity to inflammation-related changes than kurtosis measures in this cohort. This work underscores the importance of incorporating inflammatory biomarkers in neuroimaging studies of aging and highlights diffusion MRI as a promising tool for detecting early neurobiological signatures of AD/ADRD risk in African American populations.
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