Cargando…

Predictors of RBD progression and conversion to synucleinopathies

PURPOSE OF REVIEW: Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal res...

Descripción completa

Detalles Bibliográficos
Autores principales: de Natale, Edoardo Rosario, Wilson, Heather, Politis, Marios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001233/
https://www.ncbi.nlm.nih.gov/pubmed/35274191
http://dx.doi.org/10.1007/s11910-022-01171-0
_version_ 1784685625780207616
author de Natale, Edoardo Rosario
Wilson, Heather
Politis, Marios
author_facet de Natale, Edoardo Rosario
Wilson, Heather
Politis, Marios
author_sort de Natale, Edoardo Rosario
collection PubMed
description PURPOSE OF REVIEW: Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal research studies in isolated RBD (iRBD) aiming to describe the most promising progression biomarkers of iRBD and to delineate the current knowledge on the level of prediction of future outcome in iRBD patients at diagnosis. RECENT FINDINGS: Longitudinal studies revealed the potential value of a variety of biomarkers, including clinical markers of motor, autonomic, cognitive, and olfactory symptoms, neurophysiological markers such as REM sleep without atonia and electroencephalography, genetic and epigenetic markers, cerebrospinal fluid and serum markers, and neuroimaging markers to track the progression and predict phenoconversion. To-date the most promising neuroimaging biomarker in iRBD to aid the prediction of phenoconversion is striatal presynaptic striatal dopaminergic dysfunction. SUMMARY: There is a variety of potential biomarkers for monitoring disease progression and predicting iRBD conversion into synucleinopathies. A combined multimodal biomarker model could offer a more sensitive and specific tool. Further longitudinal studies are warranted to iRBD as a high-risk population for early neuroprotective interventions and disease-modifying therapies.
format Online
Article
Text
id pubmed-9001233
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-90012332022-04-27 Predictors of RBD progression and conversion to synucleinopathies de Natale, Edoardo Rosario Wilson, Heather Politis, Marios Curr Neurol Neurosci Rep Sleep (M. Thorpy and M. Billiard, Section Editor) PURPOSE OF REVIEW: Rapid eye movement (REM) sleep behaviour disorder (RBD) is considered the expression of the initial neurodegenerative process underlying synucleinopathies and constitutes the most important marker of their prodromal phase. This article reviews recent research from longitudinal research studies in isolated RBD (iRBD) aiming to describe the most promising progression biomarkers of iRBD and to delineate the current knowledge on the level of prediction of future outcome in iRBD patients at diagnosis. RECENT FINDINGS: Longitudinal studies revealed the potential value of a variety of biomarkers, including clinical markers of motor, autonomic, cognitive, and olfactory symptoms, neurophysiological markers such as REM sleep without atonia and electroencephalography, genetic and epigenetic markers, cerebrospinal fluid and serum markers, and neuroimaging markers to track the progression and predict phenoconversion. To-date the most promising neuroimaging biomarker in iRBD to aid the prediction of phenoconversion is striatal presynaptic striatal dopaminergic dysfunction. SUMMARY: There is a variety of potential biomarkers for monitoring disease progression and predicting iRBD conversion into synucleinopathies. A combined multimodal biomarker model could offer a more sensitive and specific tool. Further longitudinal studies are warranted to iRBD as a high-risk population for early neuroprotective interventions and disease-modifying therapies. Springer US 2022-03-11 2022 /pmc/articles/PMC9001233/ /pubmed/35274191 http://dx.doi.org/10.1007/s11910-022-01171-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Sleep (M. Thorpy and M. Billiard, Section Editor)
de Natale, Edoardo Rosario
Wilson, Heather
Politis, Marios
Predictors of RBD progression and conversion to synucleinopathies
title Predictors of RBD progression and conversion to synucleinopathies
title_full Predictors of RBD progression and conversion to synucleinopathies
title_fullStr Predictors of RBD progression and conversion to synucleinopathies
title_full_unstemmed Predictors of RBD progression and conversion to synucleinopathies
title_short Predictors of RBD progression and conversion to synucleinopathies
title_sort predictors of rbd progression and conversion to synucleinopathies
topic Sleep (M. Thorpy and M. Billiard, Section Editor)
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9001233/
https://www.ncbi.nlm.nih.gov/pubmed/35274191
http://dx.doi.org/10.1007/s11910-022-01171-0
work_keys_str_mv AT denataleedoardorosario predictorsofrbdprogressionandconversiontosynucleinopathies
AT wilsonheather predictorsofrbdprogressionandconversiontosynucleinopathies
AT politismarios predictorsofrbdprogressionandconversiontosynucleinopathies