Evaluation of the serum concentrations of albumin and uric acid as a biomarker in patients with Parkinson\'s disease

Abstract

Background: Parkinson's disease (PD) is a neurological disorder in which dopamine-producing neurons are destroyed. This disease is associated with aging. Our aim in this study was to measure the serum concentrations of albumin and uric acid (UA) as a biomarker for PD detection. Materials and Methods: In this case-control study, we recruited 40 Parkinson patients and 40 healthy individuals. Blood samples (5 ml) were collected from both groups and the serum was isolated. Serum albumin and UA levels were measured, and the data was analyzed by SPSS software, and graphs were prepared using Graphpad Prism. Results: Our results showed that the serum levels of albumin were significantly higher in the control group (5.69 ± 2.51 g/dl) compared to the patient group (4.12 ± 1.60 g/dl) (p˂ 0.001). On the other hand, the serum concentrations of UA in the control group (5.18 ± 1.28 mg/dl) were not statistically significantly different in comparison with the patient group (5.01 ± 1.34 mg/dl) (p= 0.56). The ROC analysis used to evaluate the diagnostic value of biomarkers for PD. Albumin was shown to have a high capability for separating patients from healthy subjects, with an area under the ROC curve 0.85, sensitivity 60% and specificity 97%. Conclusion: The findings of this study indicate that serum albumin levels in patients with PD are lower than healthy subject, and maybe in the future this can be used as diagnostic criteria