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探讨能量缺乏对黑质致密部细胞亚细胞过程的影响,以了解帕金森神经退行性变。

Influence of energy deficiency on the subcellular processes of Substantia Nigra Pars Compacta cell for understanding Parkinsonian neurodegeneration.

机构信息

Computational Neuroscience Lab, Department of Biotechnology, Bhupat and Jyoti Mehta School of Biosciences, Indian Institute of Technology Madras, Sardar Patel Road, Chennai, 600036, Tamil Nadu, India.

出版信息

Sci Rep. 2021 Jan 18;11(1):1754. doi: 10.1038/s41598-021-81185-9.

Abstract

Parkinson's disease (PD) is the second most prominent neurodegenerative disease around the world. Although it is known that PD is caused by the loss of dopaminergic cells in substantia nigra pars compacta (SNc), the decisive cause of this inexorable cell loss is not clearly elucidated. We hypothesize that "Energy deficiency at a sub-cellular/cellular/systems level can be a common underlying cause for SNc cell loss in PD." Here, we propose a comprehensive computational model of SNc cell, which helps us to understand the pathophysiology of neurodegeneration at the subcellular level in PD. The aim of the study is to see how deficits in the supply of energy substrates (glucose and oxygen) lead to a deficit in adenosine triphosphate (ATP). The study also aims to show that deficits in ATP are the common factor underlying the molecular-level pathological changes, including alpha-synuclein aggregation, reactive oxygen species formation, calcium elevation, and dopamine dysfunction. The model suggests that hypoglycemia plays a more crucial role in leading to ATP deficits than hypoxia. We believe that the proposed model provides an integrated modeling framework to understand the neurodegenerative processes underlying PD.

摘要

帕金森病(PD)是全球第二大显著的神经退行性疾病。尽管已知 PD 是由黑质致密部(SNc)中的多巴胺能细胞丧失引起的,但导致这种不可避免的细胞丧失的决定性原因尚不清楚。我们假设“细胞水平和系统水平的能量不足可能是 PD 中 SNc 细胞丧失的共同潜在原因。”在这里,我们提出了一个 SNc 细胞的综合计算模型,帮助我们在 PD 中从亚细胞水平理解神经退行性变的病理生理学。该研究的目的是观察能量底物(葡萄糖和氧气)供应不足如何导致三磷酸腺苷(ATP)不足。该研究还旨在表明,ATP 不足是导致包括α-突触核蛋白聚集、活性氧形成、钙升高和多巴胺功能障碍在内的分子水平病理变化的共同因素。该模型表明,低血糖在导致 ATP 不足方面比缺氧发挥更关键的作用。我们相信,所提出的模型为理解 PD 背后的神经退行性过程提供了一个综合的建模框架。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9a8c/7814067/59285daf2493/41598_2021_81185_Fig1_HTML.jpg

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