| Home > Publications Database > A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. |
| Journal Article (Review Article) | DZNE-2024-00117 |
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2024
Lancet Publ. Group
London
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Please use a persistent id in citations: doi:10.1016/S1474-4422(23)00404-0
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)
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