| Literature DB >> 24790636 |
Soojin Lee1, Se Min Bang1, Joon Woo Lee1, Kyoung Sang Cho1.
Abstract
Drosophila is one of the oldest and most powerful genetic models and has led to novel insights into a variety of biological processes. Recently, Drosophila has emerged as a model system to study human diseases, including several important neurodegenerative diseases. Because of the genomic similarity between Drosophila and humans, Drosophila neurodegenerative disease models exhibit a variety of human-disease-like phenotypes, facilitating fast and cost-effective in vivo genetic modifier screening and drug evaluation. Using these models, many disease-associated genetic factors have been identified, leading to the identification of compelling drug candidates. Recently, the safety and efficacy of traditional medicines for human diseases have been evaluated in various animal disease models. Despite the advantages of the Drosophila model, its usage in the evaluation of traditional medicines is only nascent. Here, we introduce the Drosophila model for neurodegenerative diseases and some examples demonstrating the successful application of Drosophila models in the evaluation of traditional medicines.Entities:
Year: 2014 PMID: 24790636 PMCID: PMC3984789 DOI: 10.1155/2014/967462
Source DB: PubMed Journal: Evid Based Complement Alternat Med ISSN: 1741-427X Impact factor: 2.629
Figure 1Representative neurological phenotypes of the Drosophila neurodegenerative disease models. elav-GAL4, GMR-GAL4, and TH-GAL4 are drivers that regulate gene expression in neurons, developing eyes, and DA neurons, respectively. elav > A and GMR > A represent flies expressing A in the neurons and developing eyes, respectively. TH > GFP represents flies expressing GFP in the DA neurons. GFP: green fluorescent protein; GMR: glass multimer reporter; NDD: neurodegenerative disease; TH: tyrosine hydroxylase; UAS: upstream activation sequence.
Figure 2The effects of SHXW on the neurological phenotypes of a Drosophila AD model. AD: Alzheimer's disease; SHXW, SuHeXiang Wang (adapted from [101]).