Longitudinal multi-omics in alpha-synuclein Drosophila model discriminates disease- from age-associated pathologies in Parkinson's disease

利用α-突触核蛋白果蝇模型进行纵向多组学分析,可区分帕金森病中与疾病相关的病理和与年龄相关的病理。

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作者:Justin Moore ,Timothy Wu ,Justin Dhindsa ,Omar El Fadel,Anh Le,Alma Perez,Bismark Amoh,Akash Tarkunde,Katy F Zhu,Matthew Avalos,Eric B Dammer,Duc M Duong,Nicholas T Seyfried,Joshua M Shulman ,Ismael Al-Ramahi ,Juan Botas

Abstract

Parkinson's disease (PD) starts decades before symptoms appear, usually in the later decades of life, when age-related changes are occurring. To identify molecular changes early in the disease course and distinguish PD pathologies from aging, we generated Drosophila expressing alpha-synuclein (αSyn) in neurons and performed longitudinal bulk transcriptomics and proteomics on brains at six time points across the lifespan and compared the data to healthy control flies as well as human post-mortem brain datasets. We found that translational and energy metabolism pathways were downregulated in αSyn flies at the earliest timepoints; comparison with the aged control flies suggests that elevated αSyn accelerates changes associated with normal aging. Unexpectedly, single-cell analysis at a mid-disease stage revealed that neurons upregulate protein synthesis and nonsense-mediated decay, while glia drive their overall downregulation. Longitudinal multi-omics approaches in animal models can thus help elucidate the molecular cascades underlying neurodegeneration vs. aging and co-pathologies.

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