Literature DB >> 27918765

Development of a Biochemical Diagnosis of Parkinson Disease by Detection of α-Synuclein Misfolded Aggregates in Cerebrospinal Fluid.

Mohammad Shahnawaz1, Takahiko Tokuda2, Masaaki Waragai3, Nicolas Mendez1, Ryotaro Ishii4, Claudia Trenkwalder5, Brit Mollenhauer6, Claudio Soto1.   

Abstract

IMPORTANCE: Parkinson disease (PD) is a highly prevalent and incurable neurodegenerative disease associated with the accumulation of misfolded α-synuclein (αSyn) aggregates. An important problem in this disease is the lack of a sensitive, specific, and noninvasive biochemical diagnosis to help in clinical evaluation, monitoring of disease progression, and early differential diagnosis from related neurodegenerative diseases.
OBJECTIVE: To develop a novel assay with high sensitivity and specificity to detect small quantities of αSyn aggregates circulating in cerebrospinal fluid (CSF) of patients affected by PD and related synucleinopathies. DESIGN, SETTING, AND PARTICIPANTS: The strategy evaluated in this proof-of-concept study uses the protein misfolding cyclic amplification (PMCA) technology that detects minute amounts of misfolded oligomers by taking advantage of their ability to nucleate further aggregation, enabling a very high amplification of the signal. The technology was first adapted with synthetic αSyn oligomers prepared in vitro and used to screen in 2 blinded cohorts of CSF samples from German and Japanese patients with PD (n = 76) and individuals serving as controls affected by other neurologic disorders (n = 65), neurodegenerative diseases (n = 18), and Alzheimer disease (n = 14). The kinetics of αSyn aggregation were measured by αSyn-PMCA in the presence of CSF samples from the participants to detect αSyn oligomeric seeds present in this biological fluid. The assays were conducted from November 15, 2013, to August 28, 2015. MAIN OUTCOMES AND MEASURES: Kinetic parameters correlated with disease severity at the time of sample collection, measured by the Hoehn and Yahr scale, with the lowest grade indicating unilateral involvement with minimal or no functional impairment, and the highest grade defining patients with complete confinement to wheelchair or bed.
RESULTS: Studies with synthetic αSyn aggregates showed that αSyn-PMCA enabled to detect as little as 0.1 pg/mL of αSyn oligomers. The αSyn-PMCA signal was directly proportional to the amount of αSyn oligomers added to the reaction. A blinded study of CSF samples correctly identified patients affected by PD with an overall sensitivity of 88.5% (95% CI, 79.2%-94.6%) and specificity of 96.9% (95% CI, 89.3%-99.6%). The αSyn-PMCA results for different patients correlated with the severity of the clinical symptoms of PD (Japanese cohort: rs = -0.54, P = .006; German cohort: rs = -0.36, P = .02). CONCLUSIONS AND RELEVANCE: The findings suggest that detection of αSyn oligomers by αSyn-PMCA in the CSF of patients affected by PD may offer a good opportunity for a sensitive and specific biochemical diagnosis of the disease. Further studies are needed to investigate the usefulness of αSyn-PMCA to monitor disease progression and for preclinical identification of patients who may develop PD.

Entities:  

Mesh:

Substances:

Year:  2017        PMID: 27918765     DOI: 10.1001/jamaneurol.2016.4547

Source DB:  PubMed          Journal:  JAMA Neurol        ISSN: 2168-6149            Impact factor:   18.302


  123 in total

1.  Alpha-Synuclein Oligomers and Neurofilament Light Chain in Spinal Fluid Differentiate Multiple System Atrophy from Lewy Body Synucleinopathies.

Authors:  Wolfgang Singer; Ann M Schmeichel; Mohammad Shahnawaz; James D Schmelzer; Bradley F Boeve; David M Sletten; Tonette L Gehrking; Jade A Gehrking; Anita D Olson; Rodolfo Savica; Mariana D Suarez; Claudio Soto; Phillip A Low
Journal:  Ann Neurol       Date:  2020-08-01       Impact factor: 10.422

2.  4-Repeat tau seeds and templating subtypes as brain and CSF biomarkers of frontotemporal lobar degeneration.

Authors:  Eri Saijo; Michael A Metrick; Shunsuke Koga; Piero Parchi; Irene Litvan; Salvatore Spina; Adam Boxer; Julio C Rojas; Douglas Galasko; Allison Kraus; Marcello Rossi; Kathy Newell; Gianluigi Zanusso; Lea T Grinberg; William W Seeley; Bernardino Ghetti; Dennis W Dickson; Byron Caughey
Journal:  Acta Neuropathol       Date:  2019-10-16       Impact factor: 17.088

Review 3.  Mass spectrometry: A platform for biomarker discovery and validation for Alzheimer's and Parkinson's diseases.

Authors:  Eugene M Cilento; Lorrain Jin; Tessandra Stewart; Min Shi; Lifu Sheng; Jing Zhang
Journal:  J Neurochem       Date:  2019-01-31       Impact factor: 5.372

Review 4.  Applying fluid biomarkers to Alzheimer's disease.

Authors:  Henrik Zetterberg
Journal:  Am J Physiol Cell Physiol       Date:  2017-04-19       Impact factor: 4.249

5.  14-3-3 Proteins Reduce Cell-to-Cell Transfer and Propagation of Pathogenic α-Synuclein.

Authors:  Bing Wang; Rachel Underwood; Anjali Kamath; Colleen Britain; Michael B McFerrin; Pamela J McLean; Laura A Volpicelli-Daley; Robert H Whitaker; William J Placzek; Katelyn Becker; Jiyan Ma; Talene A Yacoubian
Journal:  J Neurosci       Date:  2018-08-09       Impact factor: 6.167

6.  Design, implementation, and interpretation of amplification studies for prion detection.

Authors:  Nicholas J Haley; Jürgen A Richt; Kristen A Davenport; Davin M Henderson; Edward A Hoover; Matteo Manca; Byron Caughey; Douglas Marthaler; Jason Bartz; Sabine Gilch
Journal:  Prion       Date:  2018-03-09       Impact factor: 3.931

Review 7.  Biomarkers for Parkinson's Disease: How Good Are They?

Authors:  Tianbai Li; Weidong Le
Journal:  Neurosci Bull       Date:  2019-10-23       Impact factor: 5.203

Review 8.  The path to biomarker-based diagnostic criteria for the spectrum of neurodegenerative diseases.

Authors:  Filippo Baldacci; Sonia Mazzucchi; Alessandra Della Vecchia; Linda Giampietri; Nicola Giannini; Maya Koronyo-Hamaoui; Roberto Ceravolo; Gabriele Siciliano; Ubaldo Bonuccelli; Fanny M Elahi; Andrea Vergallo; Simone Lista; Filippo Sean Giorgi; Harald Hampel
Journal:  Expert Rev Mol Diagn       Date:  2020-02-27       Impact factor: 5.225

Review 9.  Protein misfolding, aggregation, and conformational strains in neurodegenerative diseases.

Authors:  Claudio Soto; Sandra Pritzkow
Journal:  Nat Neurosci       Date:  2018-09-24       Impact factor: 24.884

Review 10.  Prying into the Prion Hypothesis for Parkinson's Disease.

Authors:  Patrik Brundin; Ronald Melki
Journal:  J Neurosci       Date:  2017-10-11       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.