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对与2型糖尿病相关认知障碍相关的免疫相关基因的新见解。

Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment.

作者信息

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

机构信息

Department of Endocrinology, Qilu Hospital of Shandong University, Cheeloo College of Medicine, Shandong University, Jinan 250012, Shandong Province, China.

Institute of Endocrine and Metabolic Diseases, Shandong University, Jinan 250012, Shandong Province, China.

出版信息

World J Diabetes. 2024 Apr 15;15(4):735-757. doi: 10.4239/wjd.v15.i4.735.

Abstract

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 receiver operating characteristic curve analysis. Validation experiments including reverse transcription quantitative real-time PCR, Western blotting and immunohistochemistry were conducted both and . 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 (, , and ). 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 and , consistent with the bioinformatics analysis. Additionally, 11 potential drugs associated with and 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 and , consistent with our bioinformatics results. We discovered 11 compounds associated with and . These findings suggest that they are co-regulatory molecules of immunometabolism in diabetic cognitive impairment.

摘要

背景

2型糖尿病(T2DM)中的认知障碍是一个多方面且不断发展的状态,需要进一步探索以全面理解。神经炎症被认为是主要机制之一,免疫系统在该疾病的进展中发挥了至关重要的作用。

目的

识别并验证海马体中与T2DM相关认知障碍相关的免疫相关基因。

方法

为了识别T2DM与对照组之间的差异表达基因(DEGs),我们使用了基因表达综合数据库GSE125387中的数据。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集富集分析。利用蛋白质-蛋白质相互作用网络构建和机器学习来识别三个枢纽基因。进行了免疫细胞浸润分析。在GSE152539中通过受试者工作特征曲线分析对这三个枢纽基因进行了验证。在 和 中都进行了包括逆转录定量实时PCR、蛋白质印迹和免疫组织化学在内的验证实验。为了识别与枢纽基因相关的潜在药物,我们使用了比较毒理基因组学数据库(CTD)。

结果

使用GSE125387共识别出576个DEGs。通过取DEGs、T2DM模块基因和免疫相关基因的交集,共识别出59个与免疫系统相关的基因。随后,利用机器学习识别出三个枢纽基因( 、 和 )。这些枢纽基因与多种免疫细胞相关。这三个枢纽基因在GSE152539中得到了验证。在 和 中都在mRNA和蛋白质水平进行了验证实验,与生物信息学分析结果一致。此外,基于CTD识别出了11种与 和 相关的潜在药物。

结论

海马体中表达不同的免疫相关基因与小胶质细胞密切相关。我们在 和 中都验证了三个枢纽基因的表达,与我们的生物信息学结果一致。我们发现了11种与 和 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节分子。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f054/11045412/9d544d2d4486/WJD-15-735-g001.jpg

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