A minimally Invasive Biomarker for Sensitive and Accurate Diagnosis of Parkinson’s Disease
Authors: Wang Zerui , Gilliland Tricia , Kim Hyun Jo , Gerasimenko Maria , Sajewski Kailey , Camacho Manuel V. , Bebek Gurkan , Chen Shu G. , Gunzler Steven A. , Kong Qingzhong 
Published: July 2024

Importance

Parkinson’s disease (PD), the second most common neurodegenerative disease, is pathologically characterized by intraneuronal deposition of misfolded alpha-synuclein aggregates (αSynD). αSynDseeding activities in CSF and skin samples have shown great promise in PD diagnosis, but they require invasive procedures. Sensitive and accurate αSynDseed amplification assay (αSyn-SAA) for more accessible and minimally invasive samples (such as blood and saliva) are urgently needed for PD pathological diagnosis in routine clinical practice.

Objective

To develop a sensitive and accurate αSyn-SAA biomarker using blood and saliva samples for sensitive, accurate and minimally invasive PD diagnosis.

Design, Setting, and Participants

This prospective diagnostic study evaluates serum and saliva samples collected from patients clinically diagnosed with PD or healthy controls (HC) without PD at an academic Parkinson’s and Movement Disorders Center from February 2020 to March 2024. Patients diagnosed with non-PD parkinsonism were excluded from this analysis. A total of 124 serum samples (82 PD and 42 HC) and 131 saliva samples (83 PD and 48 HC) were collected and examined by αSyn-SAA. Out of the 124 serum donors, a subset of 74 subjects (48 PD and 26 HC) also donated saliva samples during the same visits. PD patients with serum samples had a mean age of 69.21 years (range 44-88); HC subjects with serum samples had a mean age of 66.55 years (range 44-81); PD patients with saliva samples had a mean age of 69.58 years (range 49-87); HC subjects with saliva samples had a mean age of 64.71 years (range 30-81).

Main Outcomes and Measures

Serum and/or saliva αSynDseeding activities from PD and HC subjects were measured by αSyn-SAA using the Real-Time Quaking-Induced Conversion (RT-QuIC) platform. These PD patients had extensive clinical assessments including MDS-UPDRS. For a subset of PD and HC subjects whose serum and saliva samples were both collected during the same visits, the αSynDseeding activities in both samples from the same subjects were examined, and the diagnostic accuracies for PD based on the seeding activities in either sample alone or both samples together were compared.

Results

RT-QuIC analysis of αSynDseeding activities in the 124 serum samples revealed a sensitivity of 80.49%, a specificity of 90.48%, and an accuracy of 0.9006 (AUC of ROC, 95% CI, 0.8472-0.9539,p<0.0001) for PD diagnosis. RT-QuIC analysis of αSynDseeding activity in 131 saliva samples revealed a sensitivity of 74.70%, a specificity of 97.92%, and an accuracy of 0.8966 (AUC of ROC, 95% CI, 0.8454-0.9478,p<0.0001). When aSynDseeding activities in the paired serum-saliva samples from the subset of 48 PD and 26 HC subjects were considered together, sensitivity was 95.83%, specificity was 96.15%, and the accuracy was 0.98 (AUC of ROC, 95% CI, 0.96-1.00,p<0.001), which are significantly better than when αSynDseeding activities in either serum or saliva were used alone. For the paired serum-saliva samples, when specificity was set at 100% by elevating the αSyn-SAA cutoff values, a sensitivity of 91.7% and an accuracy of 0.9457 were still attained. Detailed correlation analysis revealed that αSynDseeding activities in the serum of PD patients were correlated inversely with Montreal Cognitive Assessment (MoCA) score (p=0.04), positively with Hamilton Depression Rating Scale (HAM-D) (p=0.03), and weakly positively with PDQ-39 cognitive impairment score (p=0.07). Subgroup analysis revealed that the inverse correlation with MoCA was only seen in males (p=0.013) and weakly in the ≥70 age group (p=0.07), and that the positive correlation with HAM-D was only seen in females (p=0.04) and in the <70 age group (p=0.01). In contrast, αSynDseeding activities in the saliva of PD patients were inversely correlated with age at diagnosis (p=0.02) and the REM sleep behavior disorder (RBD) status (p=0.04), but subgroup analysis showed that the inverse correlation with age at diagnosis was only seen in males (p=0.04) and in the <70 age group (p=0.01).

Conclusion and Relevance

Our data show that concurrent RT-QuIC assay of αSynDseeding activities in both serum and saliva can achieve high diagnostic accuracies comparable to that of CSF αSyn-SAA, suggesting that αSynDseeding activities in serum and saliva together can potentially be used as a valuable biomarker for highly sensitive, accurate, and minimally invasive diagnosis of PD in routine clinical practice. αSynDseeding activities in serum and saliva of PD patients correlate differentially with some clinical characteristics and in an age and sex-dependent manner.

KEY POINTS

Question

Are αSynDseeding activities in serum and saliva together a more sensitive and accurate diagnostic PD biomarker than αSynDseeding activities in either sample type alone? Are αSynDseeding activities in either serum or saliva correlated with any clinical characteristics?

Findings

Examinations of αSynDseeding activities in 124 serum samples and 131 saliva samples from PD and heathy control subjects show that αSynDseeding activities in both serum and saliva samples together can provide significantly more sensitive and accurate diagnosis of PD than either sample type alone. αSynDseeding activities in serum or saliva exhibit varied inverse or positive correlations with some clinical features in an age and sex-dependent manner.

Meaning

αSynDseeding activities in serum and saliva together can potentially be used as a valuable pathological biomarker for highly sensitive, accurate, and minimally invasive PD diagnosis in routine clinical practice and clinical studies, and αSynDseeding activities in serum or saliva correlate with some clinical characteristics in an age and sex-dependent manner, suggesting some possible clinical utility of quantitative serum/saliva αSyn-SAA data.