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使用加权基因共表达网络分析鉴定 2 型糖尿病相关免疫浸润的潜在生物标志物。

Identification of Potential Biomarkers of Type 2 Diabetes Mellitus-Related Immune Infiltration Using Weighted Gene Coexpression Network Analysis.

机构信息

Department of Pharmacology, School of Pharmacy, Qingdao University, Qingdao 266021, China.

出版信息

Biomed Res Int. 2022 Feb 9;2022:9920744. doi: 10.1155/2022/9920744. eCollection 2022.

Abstract

BACKGROUND

Type 2 diabetes mellitus (T2DM) is characterized by chronic low-grade inflammation, showing an increasing trend. The infiltration of immune cells into adipose tissue has been shown to be an important pathogenic cause of T2DM. The purpose of this study is to use the relevant database to identify some abnormally expressed or dysfunctional genes related to diabetes from the perspective of immune infiltration.

METHODS

Weighted gene coexpression network analysis (WGCNA) was employed to systematically identify the coexpressed gene modules and hub genes associated with T2DM development based on a microarray dataset (GSE23561) from the Gene Expression Omnibus (GEO) database. The key genes in modules highly related to clinical features were calculated and screened by using R software, and their participation in T2DM was determined by gene enrichment analysis. The mRNA levels of CSF1R, H2AFV, LCK, and TLR9 in pre-T2DM mice and normal wild-type mice were detected by WGCNA screening and real-time quantitative reverse transcriptase polymerase chain reaction (qRT-PCR).

RESULTS

We constructed 14 coexpressed gene modules, and the brown module was shown to be significantly related to T2DM. Through verification of the protein-protein interaction (PPI) network, four upregulated hub genes, CSF1R, H2AFV, LCK, and TLR9, were screened from the brown module and successfully distinguishedT2DM patients from healthy people. These hub genes may be used as biomarkers and important indicators for patient diagnosis. Enrichment analysis showed that these hub genes were highly associated with IL-6-related inflammatory metabolism, immune regulation, and immune cell infiltration. Finally, we verified the hub genes CSF1R, LCK, and TLR9 in a T2DM animal model and found that their mRNA levels were significantly higher in animals with T2DM than in control group mice (NC).

CONCLUSIONS

In summary, our results suggest that these hub genes (CSF1R, LCK, and TLR9) can serve as biomarkers and immunotherapeutic targets for T2DM.

摘要

背景

2 型糖尿病(T2DM)的特征是慢性低度炎症,呈上升趋势。免疫细胞浸润脂肪组织已被证明是 T2DM 的重要致病原因。本研究旨在从免疫浸润的角度,利用相关数据库从糖尿病的角度识别一些异常表达或功能失调的与糖尿病相关的基因。

方法

使用加权基因共表达网络分析(WGCNA),基于基因表达综合数据库(GEO)中的微阵列数据集(GSE23561),系统地识别与 T2DM 发展相关的共表达基因模块和枢纽基因。通过 R 软件计算和筛选与临床特征高度相关的模块中的关键基因,并通过基因富集分析确定其参与 T2DM 的情况。通过 WGCNA 筛选和实时定量逆转录聚合酶链反应(qRT-PCR)检测 pre-T2DM 小鼠和正常野生型小鼠中 CSF1R、H2AFV、LCK 和 TLR9 的 mRNA 水平。

结果

我们构建了 14 个共表达基因模块,棕色模块与 T2DM 显著相关。通过验证蛋白质-蛋白质相互作用(PPI)网络,从棕色模块中筛选出四个上调的枢纽基因 CSF1R、H2AFV、LCK 和 TLR9,并成功将 T2DM 患者与健康人群区分开来。这些枢纽基因可作为生物标志物和重要指标用于患者诊断。富集分析表明,这些枢纽基因与 IL-6 相关的炎症代谢、免疫调节和免疫细胞浸润高度相关。最后,我们在 T2DM 动物模型中验证了枢纽基因 CSF1R、LCK 和 TLR9,发现 T2DM 动物模型中这些基因的 mRNA 水平明显高于对照组小鼠(NC)。

结论

综上所述,我们的研究结果表明,这些枢纽基因(CSF1R、LCK 和 TLR9)可作为 T2DM 的生物标志物和免疫治疗靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7abc/8849810/d8ef54828dbe/BMRI2022-9920744.001.jpg

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