揭示肥胖、T2D和AD分子信号串扰的免疫和炎症机制:来自生物信息学方法的见解。

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS
Kumar Vishal, Piplu Bhuiyan, Junxia Qi, Yang Chen, Jubiao Zhang, Fen Yang, Juxue Li
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引用次数: 0

摘要

患有2型糖尿病(T2D)和肥胖的个体患阿尔茨海默病(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的发展之间存在联系。然而,这三种疾病共有的细胞机制和分子特征尚不清楚。本研究的目的是利用生物信息学和网络生物学方法揭示与肥胖、T2D和AD相关的类似分子标记和途径。首先,我们研究了3rna测序(RNA-seq)基因表达数据集,确定了肥胖、T2D和AD疾病共有的224个差异表达基因(DEGs)。基因本体和途径富集分析显示,相互deg主要富集免疫和炎症信号通路。此外,我们构建了蛋白质-蛋白质相互作用网络,以寻找先前未被确定在这3种疾病中发挥关键作用的枢纽基因。此外,还鉴定了肥胖、T2D和AD中共同调节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3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、T2D和AD病理之间的潜在联系提供了新的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Unraveling the Mechanism of Immunity and Inflammation Related to Molecular Signatures Crosstalk Among Obesity, T2D, and AD: Insights From Bioinformatics Approaches.

Unraveling the Mechanism of Immunity and Inflammation Related to Molecular Signatures Crosstalk Among Obesity, T2D, and AD: Insights From Bioinformatics Approaches.

Unraveling the Mechanism of Immunity and Inflammation Related to Molecular Signatures Crosstalk Among Obesity, T2D, and AD: Insights From Bioinformatics Approaches.

Unraveling the Mechanism of Immunity and Inflammation Related to Molecular Signatures Crosstalk Among Obesity, T2D, and AD: Insights From Bioinformatics Approaches.

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.

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来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
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