Journal
MOLECULAR NEUROBIOLOGY
Volume 59, Issue 3, Pages 1476-1485Publisher
SPRINGER
DOI: 10.1007/s12035-021-02604-6
Keywords
Parkinson's disease; Diagnosis; Alpha-synuclein; Amyloid-beta40; Biomarkers
Categories
Funding
- Parkinson's disease research grant from South Western Sydney Local Health District
- Parkinson's New South Wales Research Seed Grant
- New South Wales Health Early-Mid Career Research Fellowship
- NHMRC Practitioner Fellowship
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This study investigated the correlation between plasma levels of alpha-synuclein, anti-alpha-synuclein, and their ratios to amyloid beta-40 in Parkinson's disease diagnosis. A diagnostic algorithm was built using promising biomarkers, and the results were verified in an independent sample. The study showed that the combination of these biomarkers demonstrated promising sensitivity and specificity.
Easily accessible and accurate biomarkers can aid Parkinson's disease diagnosis. We investigated whether combining plasma levels of alpha-synuclein, anti-alpha-synuclein, and/or their ratios to amyloid beta-40 correlated with clinical diagnosis. The inclusion of amyloid beta-40 (A beta 40) is novel. Plasma levels of biomarkers were quantified with ELISA. Using receiver operating characteristic (ROC) curve analysis, levels of alpha-synuclein, anti-alpha-synuclein, and their ratios with A beta 40 were analyzed in an initial training set of cases and controls. Promising biomarkers were then used to build a diagnostic algorithm. Verification of the results of biomarkers and the algorithm was performed in an independent set. The training set consisted of 50 cases (age 65.2 +/- 9.3, range 44-83, female:male=21:29) with 50 age- and gender-matched controls (67.1 +/- 10.0, range 45-96 years; female:male=21:29). ROC curve analysis yielded the following area under the curve results: anti-alpha-synuclein=0.835, alpha-synuclein=0.738, anti-alpha-synuclein/A beta 40=0.737, and alpha-synuclein/A beta 40=0.663. A 2-step diagnostic algorithm was built: either alpha-synuclein or anti-alpha-synuclein was >= 2 times the means of controls (step-1), resulting in 74% sensitivity; and adding alpha-synuclein/A beta 40 or anti-alpha-synuclein/A beta 40 (step-2) yielded better sensitivity (82%) while using step-2 alone yielded good specificity in controls (98%). The results were verified in an independent sample of 46 cases and 126 controls, with sensitivity reaching 91.3% and specificity 90.5%. The algorithm was equally sensitive in Parkinson's disease of <= 5-year duration with 92.6% correctly identified in the training set and 90% in the verification set. With two independent samples totaling 272 subjects, our study showed that combination of biomarkers of alpha-synuclein, anti-alpha-synuclein, and their ratios to A beta 40 showed promising sensitivity and specificity.
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