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Cited by 369

The DOI matches its Crossref record; 237 of the 237 references it cites were found in a registry or an index.

Autophagy in Alzheimer’s disease pathogenesis: Therapeutic potential and future perspectives

Open access
Zhang, Zhigang, Yang, Xifei, Song, You-Qiang, Tu, Jie·2021·Ageing Research Reviews

Abstract

Alzheimer's disease (AD) is a complex neurodegenerative disease in the elderly and the most common cause of human dementia. AD is characterized by accumulation of abnormal protein aggregates including amyloid plaques (composed of beta-amyloid (Aβ) peptides) and neurofibrillary tangles (formed by hyper-phosphorylated tau protein). Synaptic plasticity, neuroinflammation, calcium signaling etc. also show dysfunction in AD patients. Autophagy is an evolutionarily conserved lysosome-dependent cellular event in eukaryotes. It is closely linked to modulation of protein metabolism, through which damaged organelles and mis-folded proteins are degraded and then recycled to maintain protein homeostasis. Accumulating evidence has shown that impaired autophagy also contributes to AD pathogenesis. In the present review, we highlight the role of autophagy, including bulk and selective autophagy, in regulating metabolic circuits in AD pathogenesis. We also discuss the potential and future perspectives of autophagy-inducing strategies in AD therapeutics.

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Metadata

Authors
Zhang, Z., Yang, X., Song, Y.-Q., & Tu, J.
Venue
Ageing Research Reviews
Publisher
Elsevier BV
Published
2021-12
Volume
72
Pages
101464
ISSN
1568-1637 (ISSN-L)
OpenAlex
W3199718651
Cited by
369
References
237
FWCI
10.40
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Autophagy in Alzheimer’s disease pathogenesis: Therapeutic potential and future perspectives. https://app.cochat.ai/papers/10.1016/j.arr.2021.101464
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Zhang, Z., Yang, X., Song, Y.-Q., & Tu, J. (2021). Autophagy in Alzheimer’s disease pathogenesis: Therapeutic potential and future perspectives. Ageing Research Reviews. https://doi.org/10.1016/j.arr.2021.101464

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

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