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优化延长神经元突起中线粒体的维持。

Optimizing mitochondrial maintenance in extended neuronal projections.

机构信息

Department of Physics, University of California San Diego, La Jolla, California, United States of America.

出版信息

PLoS Comput Biol. 2021 Jun 9;17(6):e1009073. doi: 10.1371/journal.pcbi.1009073. eCollection 2021 Jun.

Abstract

Neurons rely on localized mitochondria to fulfill spatially heterogeneous metabolic demands. Mitochondrial aging occurs on timescales shorter than the neuronal lifespan, necessitating transport of fresh material from the soma. Maintaining an optimal distribution of healthy mitochondria requires an interplay between a stationary pool localized to sites of high metabolic demand and a motile pool capable of delivering new material. Interchange between these pools can occur via transient fusion / fission events or by halting and restarting entire mitochondria. Our quantitative model of neuronal mitostasis identifies key parameters that govern steady-state mitochondrial health at discrete locations. Very infrequent exchange between stationary and motile pools optimizes this system. Exchange via transient fusion allows for robust maintenance, which can be further improved by selective recycling through mitophagy. These results provide a framework for quantifying how perturbations in organelle transport and interactions affect mitochondrial homeostasis in neurons, a key aspect underlying many neurodegenerative disorders.

摘要

神经元依赖局部化的线粒体来满足空间异质的代谢需求。线粒体的衰老发生在神经元寿命的时间尺度内,这就需要从神经元体运输新的物质。为了保持健康线粒体的最佳分布,需要在定位于高代谢需求部位的静止池和能够输送新材料的运动池之间进行相互作用。这些池之间的交换可以通过瞬时融合/裂变事件发生,也可以通过停止和重新启动整个线粒体发生。我们的神经元线粒体稳态的定量模型确定了控制离散位置线粒体健康的关键参数。静止池和运动池之间非常少的交换使该系统达到最优。通过瞬时融合进行交换可以实现稳健的维持,通过选择性通过线粒体自噬进行回收可以进一步提高。这些结果为量化细胞器运输和相互作用的干扰如何影响神经元中线粒体稳态提供了一个框架,这是许多神经退行性疾病的关键方面。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b667/8216566/d7b7f30a2f50/pcbi.1009073.g001.jpg

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