Vishal Kumar, Bhuiyan Piplu, Qi Junxia, Chen Yang, Zhang Jubiao, Yang Fen, Li Juxue
State Key Laboratory of Reproductive Medicine, Nanjing Medical University, Nanjing, China.
Key Laboratory of Human Functional Genomics of Jiangsu Province, Nanjing Medical University, Nanjing, China.
Bioinform Biol Insights. 2023 Apr 25;17:11779322231167977. doi: 10.1177/11779322231167977. eCollection 2023.
Individuals with type 2 diabetes (T2D) and obesity have a higher risk of developing Alzheimer disease (AD), and increasing evidence indicates a link between impaired immune signaling pathways and the development of AD. However, the shared cellular mechanisms and molecular signatures among these 3 diseases remain unknown. The purpose of this study was to uncover similar molecular markers and pathways involved in obesity, T2D, and AD using bioinformatics and a network biology approach. First, we investigated the 3 RNA sequencing (RNA-seq) gene expression data sets and determined 224 commonly shared differentially expressed genes (DEGs) from obesity, T2D, and AD diseases. Gene ontology and pathway enrichment analyses revealed that mutual DEGs were mainly enriched with immune and inflammatory signaling pathways. In addition, we constructed a protein-protein interactions network for finding hub genes, which have not previously been identified as playing a critical role in these 3 diseases. Furthermore, the transcriptional factors and protein kinases regulating commonly shared DEGs among obesity, T2D, and AD were also identified. Finally, we suggested potential drug candidates as possible therapeutic interventions for 3 diseases. The results of this bioinformatics analysis provided a new understanding of the potential links between obesity, T2D, and AD pathologies.
2型糖尿病（T2D）和肥胖症患者患阿尔茨海默病（AD）的风险更高，越来越多的证据表明免疫信号通路受损与AD的发生之间存在联系。然而，这三种疾病之间共同的细胞机制和分子特征仍然未知。本研究的目的是使用生物信息学和网络生物学方法揭示肥胖症、T2D和AD中涉及的相似分子标记和通路。首先，我们研究了三个RNA测序（RNA-seq）基因表达数据集，并从肥胖症、T2D和AD疾病中确定了224个共同的差异表达基因（DEG）。基因本体和通路富集分析表明，共同的DEG主要富集于免疫和炎症信号通路。此外，我们构建了一个蛋白质-蛋白质相互作用网络来寻找枢纽基因，这些基因以前未被确定在这三种疾病中起关键作用。此外，还鉴定了调节肥胖症、T2D和AD中共同的DEG的转录因子和蛋白激酶。最后，我们提出了潜在的候选药物作为这三种疾病可能的治疗干预措施。这项生物信息学分析的结果为肥胖症、T2D和AD病理之间的潜在联系提供了新的认识。
