Toward an Early Real-Time Quaking-Induced Conversion-Based Diagnostic Biomarker for Lewy Body-Related Synucleinopathies.
Synucleinopathies are neurodegenerative diseases pathologically characterized by aggregates of α-synuclein protein in selectively vulnerable neurons and/or glia.1 These include neuronal Lewy bodies (LB) and Lewy neurites in Parkinson's disease (PD), dementia with LB, and PD dementia, and predominantly oligodendroglial cytoplasmic inclusions in multiple system atrophy (MSA).1 Isolated rapid eye movement sleep behavior disorder (iRBD) and pure autonomic failure (PAF) are often underpinned by α-synuclein pathology, sometimes revealing themselves as prodromal stages of the aforementioned disorders in retrospect.2, 3 The self-propagation of misfolded proteins assembling into seeds that induce normal-like proteins to misshape and aggregate was first recognized as mechanism of neurotoxicity in prion diseases. Increasing evidence supports the prion-like behavior of other proteins in neurodegeneration, including amyloid-β, tau, and α-synuclein.4 Therefore, detecting protein aggregates in easily accessible biospecimens represents a promising diagnostic avenue,5 especially in synucleinopathies, which can be difficult to clinically differentiate in early stages and lack specific positron emission tomography radiotracers. Moreover, because the prion-like process may precede their clinical onset by years or decades, iRBD and PAF are potential targets for an early biochemical diagnosis of synucleinopathies.2, 3, 5 Real-time quaking-induced conversion (RT-QuIC) is a high-sensitive amplification assay to detect the seeding activity of protein aggregates in biospecimens at the expense of a substrate (ie, the recombinant protein) under shaking conditions, which is monitored by thioflavin T fluorescence. RT-QuIC was first validated in sporadic Creutzfeldt-Jacob disease and is now included in its diagnostic criteria.6 Recently, it has also been explored in synucleinopathies.7 Following an established protocol,8 Rossi and colleagues9 performed cerebrospinal fluid α-synuclein RT-QuIC in a large cohort of (1) neuropathologically verified cases of LB-positive and LB-negative dementia, atypical parkinsonism, and LB-negative controls and (2) clinically diagnosed cases of PD, atypical parkinsonism, dementia, iRBD, and PAF. The assay accurately detected α-synuclein seeding activity across LB-related synucleinopathies (ie, PD, dementia with LB, iRBD, and PAF), with an overall sensitivity of 95.3% (100% in definite dementia with LB and iRBD) and an overall specificity of 98% against cases lacking LB on neuropathology.9 Intriguingly, negative RT-QuIC results were found in almost all MSA cases, 1 iRBD case with subsequent phenoconversion to MSA, and 1 PAF case showing normal adrenergic cardiac innervation on iodine-123 meta-iodobenzylguanidine single photon emission computed tomography, as observed in MSA.9 Finally, quantification of α-synuclein seeding activity through fluorescence analysis did not discriminate among LB-related clinical syndromes.9 Besides supporting the prion-like nature of LB-related synucleinopathies, this study demonstrates that α-synuclein RT-QuIC provides an accurate and reliable biomarker for these disorders in the largest cohort hitherto investigated.9 It also proves that RT-QuIC detects α-synuclein seeding activity in prodromal syndromes, allowing early diagnosis of synucleinopathy and identification of candidates for disease-modifying trials.9 Interpretation of negative assay results in most MSA cases is arguable. Although it might confirm that MSA and LB-related syndromes are associated with different conformational α-synuclein strains,10 further research needs to clarify whether different RT-QuIC set-ups may detect α-synuclein seeding activity in MSA, thus differentiating synucleinopathies. In conclusion, these findings endorse the inclusion of an RT-QuIC-based biomarker in diagnostic criteria for LB-related synucleinopathies and promote studies to test the α-synuclein RT-QuIC analysis of other biospecimens and its potential as a progression/prognostic tool. (1) Research Project: A. Conception, B. Organization, C. Execution; (2) Data Analysis: A. Design, B. Execution, C. Review and Critique; (3) Manuscript Preparation: A. Writing of the First Draft, B. Review and Critique. F.M.: 1A, 2A, 2B, 3A M.T.: 2C, 3B K.P.B.: 1A, 2C, 3B We confirm that we have read the Journal's position on issues involved in ethical publication and affirm that this work is consistent with those guidelines. The authors confirm that the approval of an institutional review board was not required for this work. The authors confirm that no patient consent was required for this work. No specific funding was received for this work. The authors declare that there are no conflicts of interest relevant to this work. F.M. is supported by the European Academy of Neurology Research Fellowship 2020. M.T. reports no disclosures. K.P.B. has received grant support from Welcome/Medical Research Council, National Institute for Health Research, Parkinsons's UK, and EU Horizon 2020. He receives royalties from publication of the Oxford Specialist Handbook Parkinson's Disease and Other Movement Disorders (Oxford University Press, 2008), Marsden's Book of Movement Disorders (Oxford University Press, 2012), and Case Studies in Movement Disorders–Common and Uncommon Presentations (Cambridge University Press, 2017). He has received honoraria/personal compensation for participating as consultant/scientific board member from Ipsen, Allergan, and Merz and honoraria for speaking at meetings and from Allergan, Ipsen, Merz, Sun Pharma, Teva, UCB Pharmaceuticals, and the American Academy of Neurology, and the International Parkinson's Disease and Movement Disorders Society.
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