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Cited by 265

The DOI matches its Crossref record; 258 of the 258 references it cites were found in a registry or an index.

Mitophagy in Alzheimer’s Disease and Other Age-Related Neurodegenerative Diseases

Open access
Cai, Qian, Jeong, Yu Young·2020·Cells

Abstract

Mitochondrial dysfunction is a central aspect of aging and neurodegenerative diseases, including Alzheimer’s disease, Parkinson’s disease, amyotrophic lateral sclerosis, and Huntington’s disease. Mitochondria are the main cellular energy powerhouses, supplying most of ATP by oxidative phosphorylation, which is required to fuel essential neuronal functions. Efficient removal of aged and dysfunctional mitochondria through mitophagy, a cargo-selective autophagy, is crucial for mitochondrial maintenance and neuronal health. Mechanistic studies into mitophagy have highlighted an integrated and elaborate cellular network that can regulate mitochondrial turnover. In this review, we provide an updated overview of the recent discoveries and advancements on the mitophagy pathways and discuss the molecular mechanisms underlying mitophagy defects in Alzheimer’s disease and other age-related neurodegenerative diseases, as well as the therapeutic potential of mitophagy-enhancing strategies to combat these disorders.

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Metadata

Authors
Cai, Q., & Jeong, Y. Y.
Venue
Cells
Publisher
MDPI AG
Published
2020-01-08
Volume
9
Issue
1
Pages
150
ISSN
2073-4409 (ISSN-L)
OpenAlex
W2999771085
Cited by
265
References
258
FWCI
24.42
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Mitophagy in Alzheimer’s Disease and Other Age-Related Neurodegenerative Diseases. https://app.cochat.ai/papers/10.3390/cells9010150
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Cai, Q., & Jeong, Y. Y. (2020). Mitophagy in Alzheimer’s Disease and Other Age-Related Neurodegenerative Diseases. Cells. https://doi.org/10.3390/cells9010150

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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.