Intracellular Lactate Dynamics Reveal the Metabolic Diversity of Drosophila Glutamatergic Neurons.
Intracellular Lactate Dynamics Reveal the Metabolic Diversity of Drosophila Glutamatergic Neurons.
复制标题
细胞内乳酸动态揭示果蝇谷氨酸神经元的代谢多样性。
DOI：
10.1101/2024.02.26.582095
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发表时间：
2024
期刊：
影响因子：
--
通讯作者：
Venkatachalam,Kartik
中科院分区：
文献类型：
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作者：
Price,MatthewS;Moore,TravisI;Venkatachalam,Kartik
乳酸作为糖酵解和线粒体氧化磷酸化的中间产物，反映了神经元的代谢状态。在这里，我们利用一种遗传编码的乳酸FRET生物传感器来揭示果蝇谷氨酸能神经元中不同代谢状态的亚群。特定亚群内的神经元表现出相关的乳酸通量模式，这源于固有的细胞特性，而不是神经元的互联性。此外，随着时间的推移，单个神经元表现出一致的乳酸通量模式，因此刺激引起的乳酸变化与预处理波动相关。利用这些时间自相关性，深度学习模型可以准确地预测刺激前波动的刺激后反应。这些发现表明存在不同的神经元亚群，每个亚群都具有独特的乳酸动力学特征，并提出了具有相关代谢活动的神经元可能在不同的神经回路中同步的可能性。这种根植于神经元代谢状态的同步可能会影响大脑的信息处理。
Lactate, an intermediary between glycolysis and mitochondrial oxidative phosphorylation, reflects the metabolic state of neurons. Here, we utilized a genetically-encoded lactate FRET biosensor to uncover subpopulations of distinct metabolic states among Drosophila glutamatergic neurons. Neurons within specific subpopulations exhibited correlated lactate flux patterns that stemmed from inherent cellular properties rather than neuronal interconnectivity. Further, individual neurons exhibited consistent patterns of lactate flux over time such that stimulus-evoked changes in lactate were correlated with pre-treatment fluctuations. Leveraging these temporal autocorrelations, deep-learning models accurately predicted post-stimulus responses from pre-stimulus fluctuations. These findings point to the existence of distinct neuronal subpopulations, each characterized by unique lactate dynamics, and raise the possibility that neurons with correlated metabolic activities might synchronize across different neural circuits. Such synchronization, rooted in neuronal metabolic states, could influence information processing in the brain.