FB2026_03 , released September 17, 2026
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Citation
Zhu, Z.J., Wu, K.C., Qian, Z.M., Yung, W.H., Ke, Y. (2014). Drosophila models for studying iron-related neurodegenerative diseases.  Sheng Li Xue Bao 66(1): 47--54.
FlyBase ID
FBrf0224213
Publication Type
Review
Abstract
In recent years, iron has been regarded as a common pathological feature of many neurodegenerative diseases, including Alzheimer's disease (AD), Parkinson's disease (PD) and Friedreich's ataxia (FRDA). A number of genes involved in iron transport, storage and regulation have been found associated with initiation and progression of neurodegeneration. However, whether iron abnormalities represent a primary or secondary event still remains unknown. Due to the limitation in transgenic rodent model construction and transfection systems, the progress in unraveling the pathogenic role of different iron-related proteins in neurodegenerative diseases has been slow. Drosophila melanogaster, a simple organism which has a shorter lifespan and smaller genome with many conserved genes, and captures many features of human nervous system and neurodegeneration, may help speed up the progress. The characteristics that spatial- and temporal-specific transgenic Drosophila can be easily constructed and raised in large quantity with phenotype easily determined turn Drosophila into an excellent in vivo genetic system for screening iron-related modifiers in different neurodegenerative conditions and hence provide a better picture about the pathogenic contribution of different iron-related protein abnormalities. It is believed that identification of important iron-related genes that can largely stop or even reverse degenerative process in Drosophila models may lead to development of novel therapeutic strategies against neurodegenerative diseases.
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Secondary IDs
    Language of Publication
    English
    Additional Languages of Abstract
    Parent Publication
    Publication Type
    Journal
    Abbreviation
    Sheng Li Xue Bao
    Title
    Sheng Li Xue Bao [Acta Physiologica Sinica]
    Publication Year
    1953-
    ISBN/ISSN
    0371-0874
    Data From Reference
    Genes (5)
    Human Disease Models (2)