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Cited by 1,663

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Molecular Pathways of Neurodegeneration in Parkinson's Disease

Dawson, Ted M., Dawson, Valina L.·2003·Science

Abstract

Parkinson's disease (PD) is a complex disorder with many different causes, yet they may intersect in common pathways, raising the possibility that neuroprotective agents may have broad applicability in the treatment of PD. Current evidence suggests that mitochondrial complex I inhibition may be the central cause of sporadic PD and that derangements in complex I cause α-synuclein aggregation, which contributes to the demise of dopamine neurons. Accumulation and aggregation of α-synuclein may further contribute to the death of dopamine neurons through impairments in protein handling and detoxification. Dysfunction of parkin (a ubiquitin E3 ligase) and DJ-1 could contribute to these deficits. Strategies aimed at restoring complex I activity, reducing oxidative stress and α-synuclein aggregation, and enhancing protein degradation may hold particular promise as powerful neuroprotective agents in the treatment of PD.

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Crossref · 10.1126/science.1087753

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Metadata

Authors
Dawson, T. M., & Dawson, V. L.
Venue
Science
Published
2003-10-31
Volume
302
Issue
5646
Pages
819-822
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1971389338
Cited by
1,663
References
14
FWCI
65.65
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Molecular Pathways of Neurodegeneration in Parkinson's Disease. https://app.cochat.ai/papers/10.1126/science.1087753
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Dawson, T. M., & Dawson, V. L. (2003). Molecular Pathways of Neurodegeneration in Parkinson's Disease. Science. https://doi.org/10.1126/science.1087753

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.