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Cited by 479

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index.

Converging pathways in neurodegeneration, from genetics to mechanisms

Open access
Gan, Li, Cookson, Mark R., Petrucelli, Leonard, La Spada, Albert R.·2018·Nature Neuroscience

Abstract

Neurodegenerative diseases cause progressive loss of cognitive and/or motor function and pose major challenges for societies with rapidly aging populations. Human genetics studies have shown that disease-causing rare mutations and risk-associated common alleles overlap in different neurodegenerative disorders. Here we review the intricate genotype–phenotype relationships and common cellular pathways emerging from recent genetic and mechanistic studies. Shared pathological mechanisms include defective protein quality-control and degradation pathways, dysfunctional mitochondrial homeostasis, stress granules, and maladaptive innate immune responses. Research efforts have started to bear fruit, as shown by recent treatment successes and an encouraging therapeutic outlook. Neurodegenerative diseases cause progressive loss of brain functions associated with aging. Here we review intricate genotype–phenotype relationships, shared pathogenic mechanisms, and emerging therapeutic opportunities and challenges.

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Crossref · 10.1038/s41593-018-0237-7

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Metadata

Authors
Gan, L., Cookson, M. R., Petrucelli, L., & La Spada, A. R.
Venue
Nature Neuroscience
Published
2018-09-26
Volume
21
Issue
10
Pages
1300-1309
ISSN
  • 1097-6256 (ISSN-L)
  • 1546-1726
OpenAlex
W2891479021
Cited by
479
References
63
FWCI
24.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Converging pathways in neurodegeneration, from genetics to mechanisms. https://app.cochat.ai/papers/10.1038/s41593-018-0237-7
The paper
Gan, L., Cookson, M. R., Petrucelli, L., & La Spada, A. R. (2018). Converging pathways in neurodegeneration, from genetics to mechanisms. Nature Neuroscience. https://doi.org/10.1038/s41593-018-0237-7

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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.