Introduction
Comparison of α-synucleinopathies: are PD and DLB the same or different diseases?
Clinical features of α-synucleinopathies
Fig. 1 Clinical characteristics and neuropathological findings in PD, DLB, and MSA. The figure displays important clinical characteristics (right side) as well as neuropathological findings (left side) of the three most important forms of α-synucleinopathy. Bold black arrows point to typical aspects, whereas thin arrows point to neuropathological and clinical findings that are either less frequent or only occur in late disease stages. PD-D Parkinson’s disease-associated dementia |
Fig. 2 Immunohistochemical detection of α-synuclein (αSyn) deposits in different types of α-synucleinopathies. Original immunohistochemical staining from 2-µm sections of the cerebral cortex, cerebral white matter, and the midbrain including the substantia nigra was done on a Ventana Benchmark XT Autostainer (Ventana, Tucson, AZ), in accordance with the manufacturer's recommendations, using antibodies against αSyn (polyclonal; Zytomed 519-2684; dilution 1:1000). a Negative control. A person with no clinical history of Parkinson’s disease (PD), PD-associated dementia or dementia with Lewy bodies (DLB) showed physiological neuromelanin-containing neurons in the substantia nigra but no αSyn-positive structures. b A patient with a history of PD showed numerous αSyn-positive Lewy bodies and neurites in the substantia nigra. c αSyn-positive Lewy neurites in the neocortex of a patient with DLB are shown. d Numerous αSyn-positive glial cytoplasmic inclusions are recognizable in the white matter of a patient with multiple system atrophy |
Staging of α-synucleinopathies and different subtypes
Protein misfolding amplification assays for misfolded αSyn
Table 1 Overview of the diagnostic accuracy of the αSyn RT-QuIC assay in different studies |
| Reference | Source | Substrate | Accuracy indicated by sensitivity and specificity |
|---|---|---|---|
| Fairfoul et al. [43] | CSF | Hu FL αSyn | 92%-95% sensitivity and 100% specificity for DLB and PD versus AD and controls; DLB (n = 12), PD (n = 22), AD (n = 30), mixed DLB/AD (n = 17), HC (n = 20), PD control (n = 15) |
| Saijo et al. [47] | CSF | His-WT, K23Q αSyn | 92% sensitivity and 100% specificity for PD and DLB |
| Groveman et al. [46] | CSF | K23Q αSyn | 93% sensitivity and 100% specificity; DLB (n = 17), PD (n = 12), AD (n = 16), non-α-synucleinopathy controls (n = 31) |
| Bongianni et al. [48] | CSF | Hu FL αSyn | 92.9% sensitivity and 95.9% specificity synucleinopathies versus non-α-synucleinopathy; αSyn (n = 27), non-αSyn (n = 49) |
| Garrido et al. [49] | CSF | Hu FL αSyn | 40% LRRK2-PD and 18.8% LRRK2-NMC with positive RT-QuIC results; IPD with 90% sensitivity and 80% specificity LRRK2-PD (n = 15), LRRK2-NMC (n = 16), IPD (n = 10), HC (n = 10) |
| Manne et al. [44] | CSF | Hu FL αSyn | 100% sensitivity and specificity; PD (n = 15) compared with controls (n = 11) |
| van Rumund et al. [50] | CSF | Hu FL αSyn | 75% sensitivity and 85%-98% specificity; αSyn (n = 85), non-αSyn (n = 26) |
| Rossi et al. [51] | CSF | Hu FL αSyn | 98% specificity and 95.3% sensitivity for α-synucleinopathies (DLB + PD + iRBD + PAF); LB-αSyn + (n = 21), LB-αSyn − (n = 101) |
| Shahnawaz et al. [52] | CSF | Hu FL αSyn | 95.4% sensitivity to discriminate PD and MSA; n = 153 |
| Orrú et al. [53] | CSF | K23Q αSyn | 97% sensitivity and 87% specificity for PD versus controls PD (n = 108), HC (n = 85) |
| Bargar et al. [54] | CSF | Hu FL αSyn | 98% sensitivity and 100% specificity PD (n = 88), DLB (n = 58), Controls (n = 68) |
| Rossi et al. [55] | CSF | Hu FL αSyn | 95% sensitivity and 97% specificity for MCI-LB patients versus controls |
| Donadio et al. [56] | CSF | Hu FL αSyn | 78% sensitivity and 100% specificity for α-synucleinopathies versus controls; α-synucleinopathies (n = 9), non-α-synucleinopathies (n = 24), controls (n = 16) |
| Manne et al. [57] | Skin | Hu FL αSyn | PD versus control: 96% sensitivity and 96% specificity for frozen skin tissues (PD n = 25, control n = 25); 75% sensitivity and 83% specificity for formalin-fixed paraffin-embedded skin sections (PD n = 12, control n = 12) |
| Wang et al., 2020 [58] | Skin | Hu FL αSyn | 93% sensitivity and 93% specificity for synucleinopathies (PD, DLB, MSA) versus controls (AD, PSP, CBD, NNCs.); α-synucleinopathies (n = 57), controls (n = 73) |
| Mammana et al. [59] | Skin | K23Q αSyn | 89.2% sensitivity and 96.3% specificity for DLB versus neurological controls; vitam (n = 69), post-mortem (n = 49) |
| Donadio et al. [56] | Skin | Hu FL αSyn | 86% sensitivity and 80% specificity; α-synucleinopathies (n = 31), non-α-synucleinopathies (n = 38), controls (n = 24) |
| Stefani et al. [60] | OM | Hu FL αSyn | 45.2% sensitivity and 89.9% specificity for RBD plus PD versus controls |
| Manne et al. [61] | SMG | Hu FL αSyn | 100% sensitivity and 94% specificity; PD (n = 13), ILBD (n = 3), controls (n = 16) |
CSF Cerebrospinal fluid, OM Olfactory mucosa, SMG Submandibular gland, Hu FL Human full-length |
Discrimination of different αSyn strains
Prion-like spreading characteristics of αSyn conformers
Selective vulnerability towards misfolded αSyn
Evidence for the existence of different αSyn strains in α-synucleinopathies
Fig. 3 Potential strain typing by RT-QuIC. A schematic illustration indicating the possible outcomes of RT-QuIC to distinguish a classical signal (in blue) from various conditions. All-or-none response (a), different lag-phases with the same IMax (b), different IMax with the same lag-phase (c), same lag-phase and IMax, but with steeper aggregation phase (different areas under the curve) (d), and different lag-phases and IMax (e), can be applied to distinguish between different seeding efficiencies |

