Enzymatic properties and clinical associations of serum alpha-galactosidase A in Parkinson's disease

Ann Clin Transl Neurol. 2023 Sep;10(9):1662-1672. doi: 10.1002/acn3.51856. Epub 2023 Jul 26.

Abstract

Objective: Recent studies have revealed an association between Parkinson's disease (PD) and Fabry disease, a lysosomal storage disorder; however, the underlying mechanisms remain to be elucidated. This study aimed to investigate the enzymatic properties of serum alpha-galactosidase A (GLA) and compared them with the clinical parameters of PD.

Methods: The study participants consisted of 66 sporadic PD patients and 52 controls. We measured serum GLA activity and calculated the apparent Michaelis constant (Km ) and maximal velocity (Vmax ) by Lineweaver-Burk plot analysis. Serum GLA protein concentration was measured by enzyme-linked immunosorbent assay. We examined the potential correlations between serum GLA activity and GLA protein concentration and clinical features and the plasma neurofilament light chain (NfL) level.

Results: Compared to controls, PD patients showed significantly lower serum GLA activity (P < 0.0001) and apparent Vmax (P = 0.0131), but no change in the apparent Km value. Serum GLA protein concentration was lower in the PD group (P = 0.0168) and was positively associated with GLA activity. Serum GLA activity and GLA protein concentration in the PD group showed a negative correlation with age. Additionally, serum GLA activity was negatively correlated with the motor severity score and the level of plasma NfL, and was positively correlated with the score of frontal assessment battery.

Interpretation: This study highlights that the lower serum GLA activity in PD is the result of a quantitative decrement of GLA protein in the serum and that it may serve as a biomarker of disease severity.

MeSH terms

  • Biomarkers
  • Fabry Disease*
  • Humans
  • Parkinson Disease*
  • Patient Acuity
  • alpha-Galactosidase / metabolism

Substances

  • alpha-Galactosidase
  • Biomarkers
  • GLA protein, human