Journal Article (Review Article)

DZNE-2024-01255

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png The why and how of the SynNerGe criteria of Parkinson´s disease.

Höglinger, G. U. (First author)DZNE* ; Lang, A. E.

2024
Springer Wien [u.a.]

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Please use a persistent id in citations: doi:10.1007/s00702-024-02797-9

Abstract: In pursuit of early therapeutic interventions for Parkinson's disease, the proposed SynNeurGe classification system integrates α-synuclein pathology (S), neurodegeneration evidence (N), and pathogenic gene variants (G). This approach aims to address the disease's complexity and biological diversity. It suggests categorizing patients based on the presence or absence of α-synuclein pathology in tissues or cerebrospinal fluid, neurodegeneration indicators from specific imaging techniques, and identification of pathogenic gene variants associated with Parkinson's disease. The proposed system emphasizes the future need for precision medicine and aims to facilitate both basic and clinical research toward disease-modifying therapies. However, the authors stress that initial implementation should be confined to research settings, considering ethical implications and current limitations. Prospective validation of these criteria is deemed necessary to ensure their efficacy and ethical application in clinical practice.

Keyword(s): Humans (MeSH) ; Parkinson Disease: diagnosis (MeSH) ; Parkinson Disease: genetics (MeSH) ; alpha-Synuclein: metabolism (MeSH) ; alpha-Synuclein: cerebrospinal fluid (MeSH) ; Biological definition ; Genetics ; Neurodegeneration ; Parkinson’s disease ; Synuclein ; alpha-Synuclein

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Contributing Institute(s):

1. Translational Neurodegeneration (AG Höglinger)
2. Clinical Research (Munich) (Clinical Research (Munich))

Research Program(s):

1. 353 - Clinical and Health Care Research (POF4-353) (POF4-353)

Appears in the scientific report 2024

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Database coverage:
; ; ; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Life Sciences ; DEAL Springer ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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