Region-specific transcriptional signatures of brain aging in the absence of neuropathology at the single-cell level.

IF 13 Q2 GERIATRICS & GERONTOLOGY
Monica E Mesecar, Megan F Duffy, Dominic J Acri, Jinhui Ding, Rebekah G Langston, Syed I Shah, Mike A Nalls, Xylena Reed, Sonja W Scholz, D Thad Whitaker, Pavan K Auluck, Stefano Marenco, Alex R DeCasien, J Raphael Gibbs, Mark R Cookson
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引用次数: 0

Abstract

As age is a significant risk factor for multiple neurodegenerative diseases, investigating normal brain aging may help identify molecular events contributing to increased disease risk over time. Single-nucleus RNA sequencing (snRNA-seq) enables analysis of gene expression changes within specific cell-types, offering insights into the molecular mechanisms underlying aging. However, most brain aging snRNA-seq datasets use age-matched controls from studies focused on pathology and sample cortical regions. Therefore, there is a need to investigate non-pathological aging within brain regions vulnerable to age-related diseases. We report a snRNA-seq study of 6 young (20-30 years) and 7 aged (60-85 years) individuals encompassing four different brain regions: the entorhinal cortex, middle temporal gyrus, subventricular zone, and putamen. We captured over 150,000 nuclei representing 10 broad cell-types. Region- and cell-type-specific differential expression analyses identified over 8000 age-associated genes. Notably, within a given cell-type, most of these associations were region-specific. Functional enrichment analyses of gene sets for each cell-type-region subgroup reflected multiple hallmarks of aging, including: proteostasis, interactions with cytokines, vesicular trafficking, metabolism, inflammation, metal ion homeostasis, and cellular senescence. Overall, our findings suggest that unique cell-types exhibit distinct transcriptional aging profiles both at the cell-type level and across different brain regions.

在单细胞水平上,在没有神经病理的情况下,脑衰老的区域特异性转录特征。
由于年龄是多种神经退行性疾病的重要危险因素,研究正常的大脑衰老可能有助于确定随着时间的推移导致疾病风险增加的分子事件。单核RNA测序(snRNA-seq)能够分析特定细胞类型内的基因表达变化,为了解衰老的分子机制提供了新的见解。然而,大多数脑老化snRNA-seq数据集使用的是来自病理和皮层区域样本研究的年龄匹配对照。因此,有必要研究易受年龄相关疾病影响的大脑区域的非病理性衰老。我们报道了一项针对6名年轻人(20-30岁)和7名老年人(60-85岁)的snRNA-seq研究,涉及4个不同的大脑区域:内鼻皮层、颞中回、脑室下区和壳核。我们捕获了超过15万个细胞核,代表了10种广泛的细胞类型。区域和细胞类型特异性差异表达分析确定了8000多个年龄相关基因。值得注意的是,在给定的细胞类型中,大多数这些关联是区域特异性的。每个细胞类型区域亚组的基因集的功能富集分析反映了衰老的多种特征,包括:蛋白质平衡、与细胞因子的相互作用、囊泡运输、代谢、炎症、金属离子稳态和细胞衰老。总的来说,我们的研究结果表明,独特的细胞类型在细胞类型水平和不同的大脑区域都表现出不同的转录衰老特征。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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CiteScore
8.90
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