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.
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DOI：
10.1177/11779322231167977
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发表时间：
2023
影响因子：
5.8
通讯作者：
Li, Juxue
中科院分区：
文献类型：
--
作者：
Vishal, Kumar;Bhuiyan, Piplu;Qi, Junxia;Chen, Yang;Zhang, Jubiao;Yang, Fen;Li, Juxue
患有 2 型糖尿病 (T2D) 和肥胖症的个体患阿尔茨海默病 (AD) 的风险较高，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，这三种疾病之间共有的细胞机制和分子特征仍然未知。本研究的目的是利用生物信息学和网络生物学方法揭示肥胖、T2D 和 AD 中涉及的相似分子标记和通路。首先，我们研究了 3 个 RNA 测序 (RNA-seq) 基因表达数据集，并确定了来自肥胖、T2D 和 AD 疾病的 224 个常见差异表达基因 (DEG)。基因本体和通路富集分析表明，相互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中心基因，这些基因以前未被确定在这 3 种疾病中发挥关键作用。此外，还鉴定了调节肥胖、T2D 和 AD 之间共有的 DEG 的转录因子和蛋白激酶。最后，我们建议了潜在的候选药物作为 3 种疾病的可能治疗干预措施。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。
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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影响因子：
29
作者：
Deng T;Lyon CJ;Minze LJ;Lin J;Zou J;Liu JZ;Ren Y;Yin Z;Hamilton DJ;Reardon PR;Sherman V;Wang HY;Phillips KJ;Webb P;Wong ST;Wang RF;Hsueh WA
通讯作者：
Hsueh WA
影响因子：
3
作者：
Berger SI;Posner JM;Ma'ayan A
通讯作者：
Ma'ayan A
影响因子：
3.7
作者：
Devi L;Alldred MJ;Ginsberg SD;Ohno M
通讯作者：
Ohno M
影响因子：
64.8
作者：
Gate, David;Saligrama, Naresha;Wyss-Coray, Tony
通讯作者：
Wyss-Coray, Tony
影响因子：
4.8
作者：
Cheng, Cong;Li, Weiguang;Wang, Zhao
通讯作者：
Wang, Zhao