Journal Article (Review Article) DZNE-2024-00117

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A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria.

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2024
Lancet Publ. Group London

The lancet 23(2), 191 - 204 () [10.1016/S1474-4422(23)00404-0]

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Abstract: With the hope that disease-modifying treatments could target the molecular basis of Parkinson's disease, even before the onset of symptoms, we propose a biologically based classification. Our classification acknowledges the complexity and heterogeneity of the disease by use of a three-component system (SynNeurGe): presence or absence of pathological α-synuclein (S) in tissues or CSF; evidence of underlying neurodegeneration (N) defined by neuroimaging procedures; and documentation of pathogenic gene variants (G) that cause or strongly predispose to Parkinson's disease. These three components are linked to a clinical component (C), defined either by a single high-specificity clinical feature or by multiple lower-specificity clinical features. The use of a biological classification will enable advances in both basic and clinical research, and move the field closer to the precision medicine required to develop disease-modifying therapies. We emphasise the initial application of these criteria exclusively for research. We acknowledge its ethical implications, its limitations, and the need for prospective validation in future studies.

Keyword(s): Humans (MeSH) ; Parkinson Disease: diagnosis (MeSH) ; Parkinson Disease: genetics (MeSH) ; Neuroimaging (MeSH) ; Precision Medicine (MeSH)

Classification:

Contributing Institute(s):
  1. 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
Database coverage:
Medline ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Ebsco Academic Search ; Essential Science Indicators ; IF >= 40 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection
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Institute Collections > M DZNE > M DZNE-Clinical Research (Munich)
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 Record created 2024-02-02, last modified 2024-02-11


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