FB2026_03 , released September 17, 2026
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Citation
Lim, C.H., Kaur, P., Teo, E., Lam, V.Y.M., Zhu, F., Kibat, C., Gruber, J., Mathuru, A.S., Tolwinski, N.S. (2020). Application of optogenetic Amyloid-β distinguishes between metabolic and physical damages in neurodegeneration.  eLife 9(): e52589.
FlyBase ID
FBrf0245372
Publication Type
Research paper
Abstract
The brains of Alzheimer's disease patients show a decrease in brain mass and a preponderance of extracellular Amyloid-β plaques. These plaques are formed by aggregation of polypeptides that are derived from the Amyloid Precursor Protein (APP). Amyloid-β plaques are thought to play either a direct or an indirect role in disease progression, however the exact role of aggregation and plaque formation in the aetiology of Alzheimer's disease (AD) is subject to debate as the biological effects of soluble and aggregated Amyloid-β peptides are difficult to separate in vivo. To investigate the consequences of formation of Amyloid-β oligomers in living tissues, we developed a fluorescently tagged, optogenetic Amyloid-β peptide that oligomerizes rapidly in the presence of blue light. We applied this system to the crucial question of how intracellular Amyloid-β oligomers underlie the pathologies of A. We use Drosophila, C. elegans and D. rerio to show that, although both expression and induced oligomerization of Amyloid-β were detrimental to lifespan and healthspan, we were able to separate the metabolic and physical damage caused by light-induced Amyloid-β oligomerization from Amyloid-β expression alone. The physical damage caused by Amyloid-β oligomers also recapitulated the catastrophic tissue loss that is a hallmark of late AD. We show that the lifespan deficit induced by Amyloid-β oligomers was reduced with Li+ treatment. Our results present the first model to separate different aspects of disease progression.
PubMed ID
PubMed Central ID
PMC7145416 (PMC) (EuropePMC)
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    eLife
    Title
    eLife
    ISBN/ISSN
    2050-084X
    Data From Reference
    Alleles (5)
    Genes (8)
    Human Disease Models (1)
    Natural transposons (1)
    Insertions (2)
    Experimental Tools (3)
    Transgenic Constructs (5)