The DOI matches its Crossref record; 69 of the 69 references it cites were found in a registry or an index.
Ultrasensitive RT-QuIC assay with high sensitivity and specificity for Lewy body-associated synucleinopathies
Open accessAbstract
The clinical diagnosis of synucleinopathies, including Parkinson’s disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA), is challenging, especially at an early disease stage, due to the heterogeneous and often non-specific clinical manifestations. The discovery of reliable specific markers for synucleinopathies would consequently be of great aid to the diagnosis and management of these disorders. Real-Time Quaking-Induced Conversion (RT-QuIC) is an ultrasensitive technique that has been previously used to detect self-templating amyloidogenic proteins in the cerebrospinal fluid (CSF) and other biospecimens in prion disease and synucleinopathies. Using a wild-type recombinant α-synuclein as a substrate, we applied RT-QuIC to a large cohort of 439 CSF samples from clinically well-characterized, or post-mortem verified patients with parkinsonism or dementia. Of significance, we also studied patients with isolated REM sleep behavior disorder (iRBD) (n = 18) and pure autonomic failure (PAF) (n = 28), representing clinical syndromes that are often caused by a synucleinopathy, and may precede the appearance of parkinsonism or cognitive decline. The results show that our RT-QuIC assay can accurately detect α-synuclein seeding activity across the spectrum of Lewy Body (LB)-related disorders (LBD), including DLB, PD, iRBD, and PAF, with an overall sensitivity of 95.3%. In contrast, all but two patients with MSA showed no α-synuclein seeding activity in the applied experimental setting. The analysis of the fluorescence response reflecting the amount of α-synuclein seeds revealed no significant differences between the clinical syndromes associated with LB pathology. Finally, the assay demonstrated 98% specificity in a neuropathological cohort of 101 cases lacking LB pathology. In conclusion, α-synuclein RT-QuIC provides an accurate marker of synucleinopathies linked to LB pathology and may have a pivotal role in the early discrimination and management of affected patients. The finding of no α-synuclein seeding activity in MSA seems to support the current view that MSA and LBD are associated with different conformational strains of α-synuclein.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Spillantini, M. G., Schmidt, M. L., Lee, V. M.-Y., Trojanowski, J. Q., Jakes, R., & Goedert, M. (1997) · Nature · doi:10.1038/42166 · Cited by 8,382
MDS clinical diagnostic criteria for Parkinson’s disease
Postuma, R. B., Berg, D., Stern, M., Poewe, W., Olanow, C. W., Oertel, W., Obeso, J., Marek, K., Litvan, I., Lang, A. E., et al. (2015) · Movement Disorders · doi:10.1002/mds.26424 · Cited by 7,653
Kalia, L. V., & Lang, A. E. (2015) · The Lancet · doi:10.1016/s0140-6736(14)61393-3 · Cited by 6,184
Prusiner, S. B. (1998) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.95.23.13363 · Cited by 5,373
Diagnosis and management of dementia with Lewy bodies: Fourth consensus report of the DLB Consortium
McKeith, I. G., Boeve, B. F., Dickson, D. W., Halliday, G., Taylor, J.-P., Weintraub, D., Aarsland, D., Galvin, J., Attems, J., Ballard, C. G., et al. (2017) · Neurology · doi:10.1212/wnl.0000000000004058 · Cited by 4,476
International Classification of Sleep Disorders-Third Edition
Sateia, M. J. (2014) · Chest · doi:10.1378/chest.14-0970 · Cited by 3,860
Advancing research diagnostic criteria for Alzheimer's disease: the IWG-2 criteria
Dubois, B., Feldman, H. H., Jacova, C., Hampel, H., Molinuevo, J. L., Blennow, K., DeKosky, S. T., Gauthier, S., Selkoe, D., Bateman, R., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(14)70090-0 · Cited by 3,321
Second consensus statement on the diagnosis of multiple system atrophy
Gilman, S., Wenning, G. K., Low, P. A., Brooks, D. J., Mathias, C. J., Trojanowski, J. Q., Wood, N. W., Colosimo, C., Dürr, A., Fowler, C. J., et al. (2008) · Neurology · doi:10.1212/01.wnl.0000324625.00404.15 · Cited by 3,140
Montine, T. J., Phelps, C. H., Beach, T. G., Bigio, E. H., Cairns, N. J., Dickson, D. W., Duyckaerts, C., Frosch, M. P., Masliah, E., Mirra, S. S., et al. (2012) · Acta Neuropathologica · doi:10.1007/s00401-011-0910-3 · Cited by 2,894
Clinical diagnosis of progressive supranuclear palsy: The movement disorder society criteria
Höglinger, G. U., Respondek, G., Stamelou, M., Kurz, C., Josephs, K. A., Lang, A. E., Mollenhauer, B., Müller, U., Nilsson, C., Whitwell, J. L., et al. (2017) · Movement Disorders · doi:10.1002/mds.26987 · Cited by 2,359
Cited by
Revised criteria for diagnosis and staging of Alzheimer's disease: Alzheimer's Association Workgroup
Jack, C. R., Andrews, J. S., Beach, T. G., Buracchio, T., Dunn, B., Graf, A., Hansson, O., Ho, C., Jagust, W., McDade, E., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.13859 · Cited by 2,803
Challenges in the diagnosis of Parkinson's disease
Tolosa, E., Garrido, A., Scholz, S. W., & Poewe, W. (2021) · The Lancet Neurology · doi:10.1016/s1474-4422(21)00030-2 · Cited by 1,874
Biomarkers for neurodegenerative diseases
Hansson, O. (2021) · Nature Medicine · doi:10.1038/s41591-021-01382-x · Cited by 1,159
The Movement Disorder Society Criteria for the Diagnosis of Multiple System Atrophy
Wenning, G. K., Stankovic, I., Vignatelli, L., Fanciulli, A., Calandra‐Buonaura, G., Seppi, K., Palma, J., Meissner, W. G., Krismer, F., Berg, D., et al. (2022) · Movement Disorders · doi:10.1002/mds.29005 · Cited by 833
Self-citationSiderowf, A., Concha-Marambio, L., Lafontant, D.-E., Farris, C. M., Ma, Y., Urenia, P. A., Nguyen, H., Alcalay, R. N., Chahine, L. M., Foroud, T., et al. (2023) · The Lancet Neurology · doi:10.1016/s1474-4422(23)00109-6 · Cited by 719
Metadata
- Authors
- Rossi, M., Candelise, N., Baiardi, S., Capellari, S., Giannini, G., Orrù, C. D., Antelmi, E., Mammana, A., Hughson, A. G., Calandra-Buonaura, G., Ladogana, A., Plazzi, G., Cortelli, P., Caughey, B., & Parchi, P.
- Venue
- Acta Neuropathologica
- Published
- 2020-04-27
- Volume
- 140
- Issue
- 1
- Pages
- 49-62
- ISSN
- 0001-6322 (ISSN-L)
- 1432-0533
- OpenAlex
- W3020087588
- Cited by
- 451
- References
- 69
- FWCI
- 20.31
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Ultrasensitive RT-QuIC assay with high sensitivity and specificity for Lewy body-associated synucleinopathies. https://app.cochat.ai/papers/10.1007/s00401-020-02160-8
- The paper
- Rossi, M., Candelise, N., Baiardi, S., Capellari, S., Giannini, G., Orrù, C. D., Antelmi, E., Mammana, A., Hughson, A. G., Calandra-Buonaura, G., Ladogana, A., Plazzi, G., Cortelli, P., Caughey, B., & Parchi, P. (2020). Ultrasensitive RT-QuIC assay with high sensitivity and specificity for Lewy body-associated synucleinopathies. Acta Neuropathologica. https://doi.org/10.1007/s00401-020-02160-8
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
