Literature DB >> 32150777

A longitudinal study on α-synuclein in plasma neuronal exosomes as a biomarker for Parkinson's disease development and progression.

M Niu1, Y Li1, G Li1, L Zhou1, N Luo1, M Yao1, W Kang1,2, J Liu1,3.   

Abstract

BACKGROUND AND
PURPOSE: The identification of reliable diagnostic and prognostic biomarkers for Parkinson's disease (PD) is urgently needed. Here, we explored the potential use of α-synuclein (α-syn) in plasma neuronal exosomes as a biomarker for early PD diagnosis and disease progression.
METHODS: This study included both cross-sectional and longitudinal designs. The subjects included 36 patients with early-stage PD, 17 patients with advanced PD, 20 patients with idiopathic rapid eye movement sleep behavior disorder and 21 healthy controls (HCs). α-syn levels were measured by electrochemiluminescence immunoassay. A subgroup of patients with early-stage PD (n = 18) participated in a follow-up examination with repeated blood collection and clinical assessments after an average of 22 months.
RESULTS: The α-syn levels in plasma neuronal exosomes were significantly higher in patients with early-stage PD compared with HCs (P = 0.007). Differences in α-syn levels between patients with idiopathic rapid eye movement sleep behavior disorder and HCs did not reach statistical significance (P = 0.08). In addition, Spearman correlation analysis revealed that neuronal exosomal α-syn concentrations were correlated with Movement Disorders Society Unified Parkinson's Disease Rating Scale III/(I + II + III) scores, Non-Motor Symptom Questionnaire scores and Sniffin' Sticks 16-item test scores of patients with PD (P < 0.05). After a mean follow-up of 22 months in patients with early-stage PD, a Cox regression analysis adjusted for age and gender showed that longitudinally increased α-syn rather than baseline α-syn levels were associated with higher risk for motor symptom progression in PD (P = 0.039).
CONCLUSIONS: Our results suggested that α-syn in plasma neuronal exosomes may serve as a biomarker to aid early diagnosis of PD and also as a prognostic marker for PD progression.
© 2020 European Academy of Neurology.

Entities:  

Keywords:  Parkinson's disease; biomarker; diagnosis; disease progression; idiopathic rapid eye movement sleep behavior disorder; neuronal exosome; plasma; α-synuclein

Mesh:

Substances:

Year:  2020        PMID: 32150777     DOI: 10.1111/ene.14208

Source DB:  PubMed          Journal:  Eur J Neurol        ISSN: 1351-5101            Impact factor:   6.089


  32 in total

1.  Exosomes in disease and regeneration: biological functions, diagnostics, and beneficial effects.

Authors:  Yun Lin; Johnathon D Anderson; Lily M A Rahnama; Shenwen V Gu; Anne A Knowlton
Journal:  Am J Physiol Heart Circ Physiol       Date:  2020-09-28       Impact factor: 4.733

2.  Poly (ADP-Ribose) and α-synuclein extracellular vesicles in patients with Parkinson disease: A possible biomarker of disease severity.

Authors:  Fabrice Lucien; Eduardo E Benarroch; Aidan Mullan; Farwa Ali; Bradley F Boeve; Michelle M Mielke; Ronald C Petersen; Yohan Kim; Cole Stang; Emanuele Camerucci; Owen A Ross; Zbigniew K Wszolek; David Knopman; James Bower; Wolfgang Singer; Rodolfo Savica
Journal:  PLoS One       Date:  2022-04-08       Impact factor: 3.240

Review 3.  Exosomes: Innocent Bystanders or Critical Culprits in Neurodegenerative Diseases.

Authors:  Margarida Beatriz; Rita Vilaça; Carla Lopes
Journal:  Front Cell Dev Biol       Date:  2021-05-13

Review 4.  Emerging targets for the diagnosis of Parkinson's disease: examination of systemic biomarkers.

Authors:  Lara Cheslow; Adam E Snook; Scott A Waldman
Journal:  Biomark Med       Date:  2021-05-14       Impact factor: 2.498

5.  Exosomal α-synuclein as a biomarker for Parkinson disease.

Authors:  Sarah Lemprière
Journal:  Nat Rev Neurol       Date:  2020-05       Impact factor: 42.937

Review 6.  Biomarkers of conversion to α-synucleinopathy in isolated rapid-eye-movement sleep behaviour disorder.

Authors:  Mitchell G Miglis; Charles H Adler; Elena Antelmi; Dario Arnaldi; Luca Baldelli; Bradley F Boeve; Matteo Cesari; Irene Dall'Antonia; Nico J Diederich; Kathrin Doppler; Petr Dušek; Raffaele Ferri; Jean-François Gagnon; Ziv Gan-Or; Wiebke Hermann; Birgit Högl; Michele T Hu; Alex Iranzo; Annette Janzen; Anastasia Kuzkina; Jee-Young Lee; Klaus L Leenders; Simon J G Lewis; Claudio Liguori; Jun Liu; Christine Lo; Kaylena A Ehgoetz Martens; Jiri Nepozitek; Giuseppe Plazzi; Federica Provini; Monica Puligheddu; Michal Rolinski; Jan Rusz; Ambra Stefani; Rebekah L S Summers; Dallah Yoo; Jennifer Zitser; Wolfgang H Oertel
Journal:  Lancet Neurol       Date:  2021-08       Impact factor: 44.182

7.  Decreased Exosomal Acetylcholinesterase Activity in the Plasma of Patients With Parkinson's Disease.

Authors:  Kyu Hwan Shim; Han Gyeol Go; Heewon Bae; Da-Eun Jeong; Danyeong Kim; Young Chul Youn; SangYun Kim; Seong Soo A An; Min Ju Kang
Journal:  Front Aging Neurosci       Date:  2021-05-28       Impact factor: 5.750

8.  Plasma Extracellular Vesicle α-Synuclein Level in Patients with Parkinson's Disease.

Authors:  Chen-Chih Chung; Lung Chan; Jia-Hung Chen; Yi-Chieh Hung; Chien-Tai Hong
Journal:  Biomolecules       Date:  2021-05-17

Review 9.  Alpha-synuclein research: defining strategic moves in the battle against Parkinson's disease.

Authors:  Luis M A Oliveira; Thomas Gasser; Robert Edwards; Markus Zweckstetter; Ronald Melki; Leonidas Stefanis; Hilal A Lashuel; David Sulzer; Kostas Vekrellis; Glenda M Halliday; Julianna J Tomlinson; Michael Schlossmacher; Poul Henning Jensen; Julia Schulze-Hentrich; Olaf Riess; Warren D Hirst; Omar El-Agnaf; Brit Mollenhauer; Peter Lansbury; Tiago F Outeiro
Journal:  NPJ Parkinsons Dis       Date:  2021-07-26

Review 10.  Nipping disease in the bud: nSMase2 inhibitors as therapeutics in extracellular vesicle-mediated diseases.

Authors:  Carolyn Tallon; Kristen R Hollinger; Arindom Pal; Benjamin J Bell; Rana Rais; Takashi Tsukamoto; Kenneth W Witwer; Norman J Haughey; Barbara S Slusher
Journal:  Drug Discov Today       Date:  2021-03-31       Impact factor: 8.369

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