Objectives: To investigate the potential protective influence of serum uric acid (UA) level on white matter (WM) microstructural changes in de novo Parkinson's disease (PD). Methods: We enrolled a total of 184 patients with drug-naïve de novo PD and 59 age and gender-matched controls that underwent diffusion tensor imaging (DTI). Based on the distribution, serum UA levels were stratified into tertiles in PD patients by gender. Using tract-based spatial statistics (TBSS) analysis, fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were used to compare WM integrity between the groups. Results: Interaction analysis showed that interaction effect on FA values between gender and UA levels in PD was significant in widespread WM areas, including frontal-parieto-temporal, corpus callosum, bilateral internal and external capsule, and thalamic regions. Multiple regression analysis revealed that FA values had a significantly positive correlation with UA levels across widespread WM areas in male patients. However, there was no significant correlation between DTI measures and UA levels in female patients. In a group comparison in male patients, PD with the lowest UA level (PD-L-UA) group showed significantly lower FA and higher MD and RD values in frontal-parieto-temporal WM regions than PD with the highest UA level (PD-H-UA) group. However, female patients did not show significant difference of DTI measures between PD-L-UA and PD-H-UA groups. Conclusions: The present study demonstrated that the serum UA levels may have the potentially gender-specific close relationship with WM integrity in the early stage of PD.
Bibliographical noteFunding Information:
This work was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Science, ICT and Future Planning ( NRF-2016R1A2A2A05920131 ). Phil Hyu Lee receives funding from NRF-2016R1A2A2A05920131 .
All Science Journal Classification (ASJC) codes
- Geriatrics and Gerontology
- Clinical Neurology