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一项综合加权基因共表达网络分析揭示了糖尿病肾病的潜在靶点。

A Comprehensive Weighted Gene Co-expression Network Analysis Uncovers Potential Targets in Diabetic Kidney Disease.

作者信息

Pan Shaokang, Li Zhengyong, Wang Yixue, Liang Lulu, Liu Fengxun, Qiao Yingjin, Liu Dongwei, Liu Zhangsuo

机构信息

Department of TCM-Integrated Department of Nephrology, the First Affiliated Hospital of Zhengzhou University; Research Institute of Nephrology, Zhengzhou University; Research Center for Kidney Disease, Henan Province; Key Laboratory of Precision Diagnosis and Treatment for Chronic Kidney Disease in Henan Province; Core Unit of National Clinical Medical Research Center of Kidney Disease, Zhengzhou 450052, Henan Province, China.

出版信息

J Transl Int Med. 2023 Jan 13;10(4):359-368. doi: 10.2478/jtim-2022-0053. eCollection 2022 Dec.

Abstract

BACKGROUND AND OBJECTIVES

Diabetic kidney disease (DKD) is one of the most common microvascular complications of diabetes. It has always been difficult to explore novel biomarkers and therapeutic targets of DKD. We aimed to identify new biomarkers and further explore their functions in DKD.

METHODS

The weighted gene co-expression network analysis (WGCNA) method was used to analyze the expression profile data of DKD, obtain key modules related to the clinical traits of DKD, and perform gene enrichment analysis. Quantitative real-time polymerase chain reaction (qRT-PCR) was used to verify the mRNA expression of the hub genes in DKD. Spearman's correlation coefficients were used to determine the relationship between gene expression and clinical indicators.

RESULTS

Fifteen gene modules were obtained WGCNA analysis, among which the green module had the most significant correlation with DKD. Gene enrichment analysis revealed that the genes in this module were mainly involved in sugar and lipid metabolism, regulation of small guanosine triphosphatase (GTPase) mediated signal transduction, G protein-coupled receptor signaling pathway, peroxisome proliferator-activated receptor (PPAR) molecular signaling pathway, Rho protein signal transduction, and oxidoreductase activity. The qRT-PCR results showed that the relative expression of nuclear pore complex-interacting protein family member A2 () and ankyrin repeat domain 36 () was notably increased in DKD compared to the control. was positively correlated with the urine albumin/creatinine ratio (ACR) and serum creatinine (Scr) but negatively correlated with albumin (ALB) and hemoglobin (Hb) levels. was positively correlated with the triglyceride (TG) level and white blood cell (WBC) count.

CONCLUSION

expression is closely related to the disease condition of DKD, whereas may be involved in the progression of DKD through lipid metabolism and inflammation, providing an experimental basis to further explore the pathogenesis of DKD.

摘要

背景与目的

糖尿病肾病(DKD)是糖尿病最常见的微血管并发症之一。探索DKD的新型生物标志物和治疗靶点一直具有挑战性。我们旨在识别新的生物标志物,并进一步探究它们在DKD中的功能。

方法

采用加权基因共表达网络分析(WGCNA)方法分析DKD的表达谱数据,获得与DKD临床特征相关的关键模块,并进行基因富集分析。运用定量实时聚合酶链反应(qRT-PCR)验证DKD中核心基因的mRNA表达。采用Spearman相关系数确定基因表达与临床指标之间的关系。

结果

通过WGCNA分析获得了15个基因模块,其中绿色模块与DKD的相关性最为显著。基因富集分析显示,该模块中的基因主要参与糖脂代谢、小GTP酶介导的信号转导调控、G蛋白偶联受体信号通路、过氧化物酶体增殖物激活受体(PPAR)分子信号通路、Rho蛋白信号转导以及氧化还原酶活性。qRT-PCR结果表明,与对照组相比,DKD中核孔复合体相互作用蛋白家族成员A2()和锚蛋白重复结构域36()的相对表达显著增加。与尿白蛋白/肌酐比值(ACR)和血清肌酐(Scr)呈正相关,但与白蛋白(ALB)和血红蛋白(Hb)水平呈负相关。与甘油三酯(TG)水平和白细胞(WBC)计数呈正相关。

结论

的表达与DKD的病情密切相关,而可能通过脂质代谢和炎症参与DKD的进展,为进一步探究DKD的发病机制提供了实验依据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9e11/9969566/10e879827071/jtim-10-359-g001.jpg

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