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大脑线粒体多样性和网络组织可预测雄性小鼠的焦虑样行为。

Brain mitochondrial diversity and network organization predict anxiety-like behavior in male mice.

机构信息

Division of Behavioral Medicine, Department of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.

Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA, USA.

出版信息

Nat Commun. 2023 Aug 10;14(1):4726. doi: 10.1038/s41467-023-39941-0.

Abstract

The brain and behavior are under energetic constraints, limited by mitochondrial energy transformation capacity. However, the mitochondria-behavior relationship has not been systematically studied at a brain-wide scale. Here we examined the association between multiple features of mitochondrial respiratory chain capacity and stress-related behaviors in male mice with diverse behavioral phenotypes. Miniaturized assays of mitochondrial respiratory chain enzyme activities and mitochondrial DNA (mtDNA) content were deployed on 571 samples across 17 brain areas, defining specific patterns of mito-behavior associations. By applying multi-slice network analysis to our brain-wide mitochondrial dataset, we identified three large-scale networks of brain areas with shared mitochondrial signatures. A major network composed of cortico-striatal areas exhibited the strongest mitochondria-behavior correlations, accounting for up to 50% of animal-to-animal behavioral differences, suggesting that this mito-based network is functionally significant. The mito-based brain networks also overlapped with regional gene expression and structural connectivity, and exhibited distinct molecular mitochondrial phenotype signatures. This work provides convergent multimodal evidence anchored in enzyme activities, gene expression, and animal behavior that distinct, behaviorally-relevant mitochondrial phenotypes exist across the male mouse brain.

摘要

大脑和行为受到能量限制,受线粒体能量转化能力的限制。然而,线粒体-行为关系尚未在全脑范围内进行系统研究。在这里,我们研究了具有不同行为表型的雄性小鼠的线粒体呼吸链能力的多个特征与应激相关行为之间的关联。在 17 个脑区的 571 个样本上,我们采用了线粒体呼吸链酶活性和线粒体 DNA(mtDNA)含量的微型测定法,确定了线粒体-行为关联的特定模式。通过将多切片网络分析应用于我们的全脑线粒体数据集,我们确定了三个具有共享线粒体特征的大脑区域的大规模网络。由皮质纹状体区域组成的主要网络表现出最强的线粒体-行为相关性,占动物间行为差异的高达 50%,这表明该基于线粒体的网络在功能上是重要的。基于线粒体的脑网络还与区域基因表达和结构连接重叠,并表现出不同的分子线粒体表型特征。这项工作提供了基于酶活性、基因表达和动物行为的收敛多模态证据,表明雄性小鼠大脑中存在不同的、与行为相关的线粒体表型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3373/10415311/ac7e48faaaa3/41467_2023_39941_Fig1_HTML.jpg

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