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系统综述和人类转录组学的荟萃分析揭示了神经炎症、能量代谢缺陷和蛋白质稳态失效在神经退行性变中的作用。

Systematic review and meta-analysis of human transcriptomics reveals neuroinflammation, deficient energy metabolism, and proteostasis failure across neurodegeneration.

机构信息

Harvard College, Cambridge, MA 02138, United States of America; Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States of America; MIND Data Science Lab, Cambridge, MA 02139, United States of America; MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA 02129, United States of America.

Department of Neurology, Massachusetts General Hospital, Boston, MA 02114, United States of America; MIND Data Science Lab, Cambridge, MA 02139, United States of America; MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA 02129, United States of America; Harvard Medical School, Boston, MA 02115, United States of America.

出版信息

Neurobiol Dis. 2021 Feb;149:105225. doi: 10.1016/j.nbd.2020.105225. Epub 2020 Dec 19.

DOI:10.1016/j.nbd.2020.105225
PMID:33347974
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7856076/
Abstract

Neurodegenerative disorders such as Alzheimer's disease (AD), Lewy body diseases (LBD), and the amyotrophic lateral sclerosis and frontotemporal dementia (ALS-FTD) spectrum are defined by the accumulation of specific misfolded protein aggregates. However, the mechanisms by which each proteinopathy leads to neurodegeneration remain elusive. We hypothesized that there is a common "pan-neurodegenerative" gene expression signature driving pathophysiology across these clinically and pathologically diverse proteinopathies. To test this hypothesis, we performed a systematic review of human CNS transcriptomics datasets from AD, LBD, and ALS-FTD patients and age-matched controls in the Gene Expression Omnibus (GEO) and ArrayExpress databases, followed by consistent processing of each dataset, meta-analysis, pathway enrichment, and overlap analyses. After applying pre-specified eligibility criteria and stringent data pre-processing, a total of 2600 samples from 26 AD, 21 LBD, and 13 ALS-FTD datasets were included in the meta-analysis. The pan-neurodegenerative gene signature is characterized by an upregulation of innate immunity, cytoskeleton, and transcription and RNA processing genes, and a downregulation of the mitochondrial electron transport chain. Pathway enrichment analyses also revealed the upregulation of neuroinflammation (including Toll-like receptor, TNF, and NFκB signaling) and phagocytosis, and the downregulation of mitochondrial oxidative phosphorylation, lysosomal acidification, and ubiquitin-proteasome pathways. Our findings suggest that neuroinflammation and a failure in both neuronal energy metabolism and protein degradation systems are consistent features underlying neurodegenerative diseases, despite differences in the extent of neuronal loss and brain regions involved.

摘要

神经退行性疾病,如阿尔茨海默病(AD)、路易体病(LBD)和肌萎缩侧索硬化症和额颞叶痴呆(ALS-FTD)谱,其特征是特定错误折叠蛋白聚集体的积累。然而,每种蛋白病导致神经退行性变的机制仍不清楚。我们假设存在一种共同的“泛神经退行性”基因表达特征,可驱动这些临床表现和病理上多样化的蛋白病的病理生理学。为了验证这一假设,我们对来自 AD、LBD 和 ALS-FTD 患者以及年龄匹配对照的人类中枢神经系统转录组学数据集进行了系统综述,这些数据集来自 GEO 和 ArrayExpress 数据库,随后对每个数据集进行一致的处理、荟萃分析、途径富集和重叠分析。在应用预先规定的合格标准和严格的数据预处理后,共有 26 个 AD、21 个 LBD 和 13 个 ALS-FTD 数据集的 2600 个样本被纳入荟萃分析。泛神经退行性基因特征的特点是固有免疫、细胞骨架和转录和 RNA 处理基因的上调,以及线粒体电子传递链的下调。途径富集分析还揭示了神经炎症(包括 Toll 样受体、TNF 和 NFκB 信号)和吞噬作用的上调,以及线粒体氧化磷酸化、溶酶体酸化和泛素-蛋白酶体途径的下调。我们的研究结果表明,尽管神经元丢失的程度和涉及的脑区不同,但神经炎症以及神经元能量代谢和蛋白质降解系统的失败是神经退行性疾病的一致特征。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c0/7856076/6c28136b9695/nihms-1658935-f0006.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c0/7856076/6c28136b9695/nihms-1658935-f0006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c0/7856076/5a1f8dcb1793/nihms-1658935-f0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c0/7856076/65a46872776d/nihms-1658935-f0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8c0/7856076/ea0c94f25537/nihms-1658935-f0003.jpg
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