Association of cholesterol and glycemic state biomarkers with phenotypic variation and Parkinson's disease progression: The Oxford Discovery cohort.

Abstract

BackgroundParkinson's disease (PD) has marked phenotypic variability. Increased lipids have been suggested as being neuroprotective whilst hyperglycemia may increase α-synuclein aggregation.ObjectiveWe have tested whether high total cholesterol and high-density lipoprotein cholesterol (HDL-C) and low levels of fructosamine are associated with better PD phenotypes and predict less rapid progressionMethodsNon-fasting serum HDL-C, total cholesterol, and fructosamine were measured at baseline in 866 patients with early PD (median duration, 0.96; IQR, 0.43-1.98 years) from the Oxford Discovery cohort. These biomarkers were compared against our data-derived PD subtypes using multinomial logistic regression. We used multilevel models to predict longitudinal motor and non-motor outcomes (e.g., cognition, mood).ResultsHDL-C and total cholesterol differed across baseline PD phenotype clusters, with reduced levels associated with the most severe motor and non-motor phenotypes (psychological well-being, cognitive impairment, REM sleep behavior disorder, and daytime sleepiness). Higher HDL-C and total cholesterol, although the latter was attenuated after adjustment for statin use, were associated with better baseline activities of daily living (e.g., UPDRS-II score with 1 SD increase in HDL-C -0.74, 95%CI -1.22 to -0.26, p = 0.002) and non-motor features. Neither predicted the rate of motor or non-motor progression. Fructosamine levels were not associated with phenotypic variability or rate of disease progression.ConclusionsHypercholesterolemia was associated with a better motor/non-motor disease subtype and daily living impairment at presentation, but did not predict longitudinal change. Future research needs to determine if these associations are causally related or secondary to disease onset by examining prodromal subjects.