circCwc27对tau蛋白的调控:2型糖尿病和阿尔茨海默病的共同致病机制

IF 4.5 Q1 Computer Science
Keying Fang, Bin Jiao, Lu Shen, Shilin Luo
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引用次数: 0

摘要

背景:阿尔茨海默病(AD)和2型糖尿病(T2DM)是两种不同但相互关联的疾病,经常同时发生。虽然胰岛素抵抗和糖代谢受损与它们的共同发病机制有关,但这种合并症的分子机制仍不完全清楚。新出现的证据表明,环状rna (circRNAs),特别是在神经和代谢组织中富集的环状rna,可能在这两种疾病中发挥调节作用。方法:我们使用基因表达综合(GEO)数据集进行综合转录组学分析,以确定AD和T2DM的差异表达基因。蛋白质-蛋白质相互作用(PPI)网络的构建和富集分析确定了共同的枢纽基因和失调通路。我们在SH-SY5Y和HEK293细胞模型中进行了功能研究,以探索来自Cwc27基因的环状RNA Cwc27 (circCwc27)的生物学影响。结果:在86个常见的上调基因中,Cwc27成为AD-T2DM相互作用网络中具有显著连通性的中心枢纽。功能富集分析显示circCwc27与RNA剪接、mRNA监视和PI3K-Akt信号传导有关。circCwc27的过表达增加了总Tau蛋白和磷酸化Tau蛋白水平,增强了Tau种子活性,减少了细胞内糖原储存——这是AD神经病理和T2DM代谢失调的标志。值得注意的是,这些作用独立于Akt-GSK3β激活或APP表达而发生,表明Tau蛋白参与了一个独特的调控轴。结论:我们的研究发现circCwc27是通过Tau蛋白上调和代谢损伤连接AD和T2DM的新型分子桥梁。这种双重作用突出了其作为生物标志物和治疗靶点的潜力,可以解决神经退行性疾病和代谢性疾病的共同病理生理机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Regulation of tau protein by circCwc27: shared pathogenic mechanisms in type 2 diabetes mellitus and Alzheimer's disease.

Background: Alzheimer's disease (AD) and type 2 diabetes mellitus (T2DM) are distinct yet interconnected disorders that frequently co-occur. While insulin resistance and impaired glucose metabolism have been implicated in their shared pathogenesis, the molecular mechanisms underlying this comorbidity remain incompletely understood. Emerging evidence suggests that circular RNAs (circRNAs), particularly those enriched in neural and metabolic tissues, may play regulatory roles in both diseases.

Methods: We conducted integrated transcriptomic analyses using Gene Expression Omnibus (GEO) datasets to identify differentially expressed genes in AD and T2DM. Protein-protein interaction (PPI) network construction and enrichment analyses identified common hub genes and dysregulated pathways. Functional studies were performed in SH-SY5Y and HEK293 cell models to explore the biological impact of Circular RNA Cwc27 (circCwc27), a circRNA derived from the Cwc27 gene.

Results: Among 86 commonly upregulated genes, Cwc27 emerged as a central hub with significant connectivity in the AD-T2DM interaction network. Functional enrichment analysis revealed circCwc27's association with RNA splicing, mRNA surveillance, and PI3K-Akt signaling. Overexpression of circCwc27 increased total and phosphorylated Tau protein levels, enhanced Tau seeding activity, and reduced intracellular glycogen storage-hallmarks of AD neuropathology and metabolic dysregulation in T2DM. Notably, these effects occurred independently of Akt-GSK3β activation or APP expression, suggesting a unique regulatory axis involving Tau protein.

Conclusion: Our findings identify circCwc27 as a novel molecular bridge linking AD and T2DM via Tau upregulation and metabolic impairment. This dual role highlights its potential as both a biomarker and therapeutic target for addressing the shared pathophysiological mechanisms of neurodegeneration and metabolic disease.

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来源期刊
Brain Informatics
Brain Informatics Computer Science-Computer Science Applications
CiteScore
9.50
自引率
0.00%
发文量
27
审稿时长
13 weeks
期刊介绍: Brain Informatics is an international, peer-reviewed, interdisciplinary open-access journal published under the brand SpringerOpen, which provides a unique platform for researchers and practitioners to disseminate original research on computational and informatics technologies related to brain. This journal addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics. It also welcomes emerging information technologies and advanced neuro-imaging technologies, such as big data analytics and interactive knowledge discovery related to various large-scale brain studies and their applications. This journal will publish high-quality original research papers, brief reports and critical reviews in all theoretical, technological, clinical and interdisciplinary studies that make up the field of brain informatics and its applications in brain-machine intelligence, brain-inspired intelligent systems, mental health and brain disorders, etc. The scope of papers includes the following five tracks: Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Research Track 5: Brain-Machine Intelligence and Brain-Inspired Computing
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