对与 2 型糖尿病相关认知障碍有关的免疫相关基因的新认识

Jing Gao, Ying Zou, Xiao-yu Lv, Li Chen, Xin-Guo Hou
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摘要

背景 2 型糖尿病(T2DM)患者的认知障碍是一种多方面的、不断发展的状态,需要进一步探索才能完全理解。神经炎症被认为是其主要机制之一,而免疫系统在疾病进展中扮演着重要角色。目的 识别并验证与 T2DM 相关认知障碍有关的海马区免疫相关基因。方法 我们使用基因表达总库数据库 GSE125387 中的数据来鉴定 T2DM 和对照组之间的差异表达基因(DEGs)。为了识别 T2DM 模块基因,我们使用了加权基因共表达网络分析。所有基因都进行了基因组富集分析。我们利用蛋白质-蛋白质相互作用网络构建和机器学习来确定三个枢纽基因。进行了免疫细胞浸润分析。通过接收者操作特征曲线分析,在 GSE152539 中验证了这三个中心基因。验证实验包括体内和体外反转录定量实时 PCR、Western 印迹和免疫组化。为了确定与枢纽基因相关的潜在药物,我们使用了比较毒物基因组学数据库(CTD)。结果 利用 GSE125387 共鉴定出 576 个 DEGs。根据 DEGs、T2DM 模块基因和免疫相关基因的交叉点,共鉴定出 59 个与免疫系统相关的基因。随后,利用机器学习技术确定了三个中心基因(H2-T24、Rac3 和 Tfrc)。这些中心基因与多种免疫细胞相关。这三个中心基因在 GSE152539 中得到了验证。验证实验在体内和体外的 mRNA 和蛋白质水平上进行,与生物信息学分析一致。此外,还根据 CTD 确定了 11 种与 RAC3 和 TFRC 相关的潜在药物。结论 在海马中表达不同的免疫相关基因与小胶质细胞密切相关。我们验证了三个枢纽基因在体内和体外的表达,这与我们的生物信息学结果一致。我们发现了 11 种与 RAC3 和 TFRC 相关的化合物。这些发现表明,它们是糖尿病认知障碍中免疫代谢的共同调控分子。
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Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment
BACKGROUND The cognitive impairment in type 2 diabetes mellitus (T2DM) is a multifaceted and advancing state that requires further exploration to fully comprehend. Neuroinflammation is considered to be one of the main mechanisms and the immune system has played a vital role in the progression of the disease. AIM To identify and validate the immune-related genes in the hippocampus associated with T2DM-related cognitive impairment. METHODS To identify differentially expressed genes (DEGs) between T2DM and controls, we used data from the Gene Expression Omnibus database GSE125387. To identify T2DM module genes, we used Weighted Gene Co-Expression Network Analysis. All the genes were subject to Gene Set Enrichment Analysis. Protein-protein interaction network construction and machine learning were utilized to identify three hub genes. Immune cell infiltration analysis was performed. The three hub genes were validated in GSE152539 via receiver operating characteristic curve analysis. Validation experiments including reverse transcription quantitative real-time PCR, Western blotting and immunohistochemistry were conducted both in vivo and in vitro . To identify potential drugs associated with hub genes, we used the Comparative Toxicogenomics Database (CTD). RESULTS A total of 576 DEGs were identified using GSE125387. By taking the intersection of DEGs, T2DM module genes, and immune-related genes, a total of 59 genes associated with the immune system were identified. Afterward, machine learning was utilized to identify three hub genes (H2-T24 , Rac3 , and Tfrc ). The hub genes were associated with a variety of immune cells. The three hub genes were validated in GSE152539. Validation experiments were conducted at the mRNA and protein levels both in vivo and in vitro , consistent with the bioinformatics analysis. Additionally, 11 potential drugs associated with RAC3 and TFRC were identified based on the CTD. CONCLUSION Immune-related genes that differ in expression in the hippocampus are closely linked to microglia. We validated the expression of three hub genes both in vivo and in vitro , consistent with our bioinformatics results. We discovered 11 compounds associated with RAC3 and TFRC . These findings suggest that they are co-regulatory molecules of immunometabolism in diabetic cognitive impairment.
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