帕金森病的果蝇体内和计算机模型。

Müberra Fatma Cesur, Rachel Strazdins, Souvarish Sarkar, Tunahan Çakır
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引用次数: 0

摘要

果蝇黑腹果蝇已经成为揭示神经变性的重要模式生物。帕金森病(PD)是第二常见的神经退行性疾病,其病因尚不清楚。长期使用现有的PD药物可能会产生严重的副作用,而且它们只针对症状,而不能有效地治愈这种疾病。因此,体内和计算机方法被广泛用于模拟果蝇的PD样表型,并研究PD发病机制下的细胞改变。体内模型对于深入了解pd相关的分子过程尤为重要。通过收集组学数据集来研究这些模型是一种首选方法,这些数据集可以使用基因组尺度代谢模型和人工智能应用等计算机建模进行进一步分析。本综述旨在总结文献中的体内和计算机模拟研究,以说明果蝇在PD相关生物学机制表征方面的潜力,从而为PD提供早期生物标志物和新的治疗方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
In vivo and in silico models of Drosophila for Parkinson's disease.

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.

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