The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.
A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria
Open accessAbstract
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.
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Metadata
- Authors
- Höglinger, G. U., Adler, C. H., Berg, D., Klein, C., Outeiro, T. F., Poewe, W., Postuma, R., Stoessl, A. J., & Lang, A. E.
- Venue
- The Lancet Neurology
- Publisher
- Elsevier BV
- Published
- 2024-02
- Volume
- 23
- Issue
- 2
- Pages
- 191-204
- ISSN
- 1474-4422 (ISSN-L)
- OpenAlex
- W4391090585
- Cited by
- 549
- References
- 77
- FWCI
- 126.23
- Type
- journal article
- Language
- en
- Open access
- green
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- Höglinger, G. U., Adler, C. H., Berg, D., Klein, C., Outeiro, T. F., Poewe, W., Postuma, R., Stoessl, A. J., & Lang, A. E. (2024). A biological classification of Parkinson's disease: the SynNeurGe research diagnostic criteria. The Lancet Neurology. https://doi.org/10.1016/s1474-4422(23)00404-0
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