Cesur Müberra Fatma, Strazdins Rachel, Sarkar Souvarish, Çakır Tunahan
Bioinformatics and Systems Biology Program, Department of Bioengineering, Gebze Technical University, Kocaeli, Turkey.
Department of Environmental Medicine, University of Rochester Medical Center, NY, USA.
FEBS J. 2025 Jun 1. doi: 10.1111/febs.70140.
The fruit fly Drosophila melanogaster has emerged as an important model organism to shed light on neurodegeneration. Parkinson's disease (PD) is the second most prevalent neurodegenerative disorder, the cause of which is still mostly unclear. The long-term use of available PD drugs may have major side effects, and they only target the symptoms without providing any effective cure for the disease. Therefore, in vivo and in silico approaches are extensively used to model PD-like phenotypes in Drosophila and investigate cellular alterations underlying PD pathogenesis. In vivo models are particularly crucial to provide insight into the PD-related molecular processes. It has been a preferred approach to investigate these models by collecting omics datasets, which can be further analysed using in silico modeling such as genome-scale metabolic models and artificial intelligence applications. This review aims to summarise in vivo and in silico modeling studies in the literature to illustrate the potential of the Drosophila in the characterisation of PD-related biological mechanisms towards providing early biomarkers and novel treatment options for PD.
果蝇黑腹果蝇已成为揭示神经退行性变的重要模式生物。帕金森病(PD)是第二常见的神经退行性疾病,其病因大多仍不清楚。长期使用现有的PD药物可能有严重的副作用,而且这些药物仅针对症状,并未对该疾病提供任何有效治愈方法。因此,体内和计算机模拟方法被广泛用于在果蝇中模拟PD样表型,并研究PD发病机制背后的细胞改变。体内模型对于深入了解与PD相关的分子过程尤为关键。通过收集组学数据集来研究这些模型一直是一种首选方法,这些数据集可以使用计算机模拟建模(如基因组规模代谢模型和人工智能应用)进行进一步分析。本综述旨在总结文献中的体内和计算机模拟建模研究,以说明果蝇在表征与PD相关的生物学机制、为PD提供早期生物标志物和新治疗选择方面的潜力。