Integrated Transcriptomics and Network Analysis Identified Altered Neural Mechanisms in Frontal Aging Brain-Associated Alzheimer’s Disease

IF 2.1 4区生物学 Q4 BIOCHEMISTRY & MOLECULAR BIOLOGY

Biochemical Genetics Pub Date : 2023-11-07 DOI:10.1007/s10528-023-10549-9

Suthipong Chujan, Wanida Cholpraipimolrat, Jutamaad Satayavivad

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Abstract

Alzheimer’s disease (AD) is the most common neurodegenerative disease. The late stage of AD typically develops after 60 years of age and AD pathogenesis can be detected predominately in the frontal lobe, which is responsible for memory. Multiple alterations in cellular mechanisms have been associated with AD, but there is no clear information on AD pathogenesis during brain aging. This study aimed to explore the differentially expressed genes (DEGs) in the frontal lobe of aging brains and to identify shared crucial mechanisms in the aging brain linked to AD pathogenesis. Three datasets were downloaded from the Gene Expression Omnibus (GEO). Biological function analysis was performed by DAVID and KEGG databases. An AD patient’s cohort (GSE150696) was collected for verification of the enriched pathway. The results demonstrated that multiple neurochemical synapsis and regulation of the cytoskeleton are linked to AD pathogenesis during aging. Taken together, this study contributes to our further understanding of neural alterations during aging in AD that could be used to develop therapeutics for early intervention to prevent or slow progression.

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综合转录组学和网络分析确定了额叶衰老脑相关阿尔茨海默病的神经机制改变。

阿尔茨海默病（AD）是最常见的神经退行性疾病。AD的晚期通常在60岁后发展，AD的发病机制主要在负责记忆的额叶中检测到。细胞机制的多种改变与AD有关，但目前还没有关于脑衰老过程中AD发病机制的明确信息。本研究旨在探索衰老大脑额叶中的差异表达基因（DEGs），并确定衰老大脑中与AD发病机制相关的共同关键机制。从基因表达综合数据库（GEO）下载了三个数据集。通过DAVID和KEGG数据库进行生物功能分析。收集AD患者的队列（GSE150696）以验证富集途径。结果表明，衰老过程中多种神经化学突触和细胞骨架的调节与AD的发病机制有关。总之，这项研究有助于我们进一步了解AD衰老过程中的神经变化，可用于开发早期干预的治疗方法，以防止或减缓进展。

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来源期刊

Biochemical Genetics 生物-生化与分子生物学

CiteScore

3.90

自引率

0.00%

发文量

133

审稿时长

4.8 months

期刊介绍： Biochemical Genetics welcomes original manuscripts that address and test clear scientific hypotheses, are directed to a broad scientific audience, and clearly contribute to the advancement of the field through the use of sound sampling or experimental design, reliable analytical methodologies and robust statistical analyses. Although studies focusing on particular regions and target organisms are welcome, it is not the journal’s goal to publish essentially descriptive studies that provide results with narrow applicability, or are based on very small samples or pseudoreplication. Rather, Biochemical Genetics welcomes review articles that go beyond summarizing previous publications and create added value through the systematic analysis and critique of the current state of knowledge or by conducting meta-analyses. Methodological articles are also within the scope of Biological Genetics, particularly when new laboratory techniques or computational approaches are fully described and thoroughly compared with the existing benchmark methods. Biochemical Genetics welcomes articles on the following topics: Genomics; Proteomics; Population genetics; Phylogenetics; Metagenomics; Microbial genetics; Genetics and evolution of wild and cultivated plants; Animal genetics and evolution; Human genetics and evolution; Genetic disorders; Genetic markers of diseases; Gene technology and therapy; Experimental and analytical methods; Statistical and computational methods.