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Citation
Mou, W., Cui, Y. (2024). Enhancing neuronal reticulophagy: a strategy for combating aging and APP toxicity.  Autophagy 20(12): 2819--2820.
FlyBase ID
FBrf0261023
Publication Type
Note
Abstract
Reticulophagy, which directs the endoplasmic reticulum (ER) to the phagophore for sequestration within an autophagosome and subsequent lysosomal degradation via specific receptors, is essential for ER quality control and is implicated in various diseases. This study utilizes Drosophila to establish an in vivo model for reticulophagy. Starvation-induced reticulophagy is detected across multiple tissues in Drosophila. Whole-body upregulation or downregulation of the expression of reticulophagy receptors, atl and Rtnl1, negatively affects fly health. Notably, moderate upregulation of reticulophagy in neuronal tissues by overexpressing these receptors reduces age-related degeneration. In a Drosophila Alzheimer model expressing human APP (amyloid beta precursor protein), reticulophagy is compromised. Correcting reticulophagy by enhancing atl and Rtnl1 expression in the neurons promotes APP degradation, significantly reducing neurodegenerative symptoms. However, overexpression of mutated atl and Rtnl1, which disrupts the interaction of the corresponding proteins with Atg8, does not alleviate these symptoms, emphasizing the importance of receptor functionality. These findings support modulating reticulophagy as a therapeutic strategy for aging and neurodegenerative diseases associated with ER protein accumulation.
PubMed ID
PubMed Central ID
PMC11587828 (PMC) (EuropePMC)
Related Publication(s)
Research paper

Upregulation of neuronal ER-phagy improves organismal fitness and alleviates APP toxicity.
Mou et al., 2024, Cell Rep. 43(5): 114255 [FBrf0259655]

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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Autophagy
    Title
    Autophagy
    Publication Year
    2005-
    ISBN/ISSN
    1554-8627 1554-8635
    Data From Reference