文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期,新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2025

与糖尿病肾病相关的基因网络。

Gene networks implicated in diabetic kidney disease.

机构信息

Department of Endocrinology, The Affiliated Jiangyin Hospital of Southeast University Medical College, Jiangyin, Jiangsu, People's Republic of China.

出版信息

Eur Rev Med Pharmacol Sci. 2012 Dec;16(14):1967-73.


DOI:
PMID:23242724
Abstract

BACKGROUND: Diabetic kidney disease (DKD) is one of the main causes of renal end-stage disease. The incidence of DKD has increased substantially over the past few years. However, our understanding to the molecular mechanism of DKD is still essential, and an effective treatment has not been developed. AIM: We aimed to explore the molecule mechanism in the development of DKD, and provide a comparison of DKD in different compartments. MATERIALS AND METHODS: In this study, we implemented a system biology approach and analyzed gene expression profiles in 22 microdissected human renal glomerular and 22 tubule samples from healthy patients and patients with DKD. RESULTS: The WGCNA (Weighted Gene Co-expression Network Analysis) analysis identified 10 modules of genes with high topological overlap in tubuli and 12 modules in glomeruli. Several TFs (transcription factors) were found expressed in both compartments, such as ETS1, ETV4, JUN, LITAF, NFE2, RARG and STAT5A. These genes may be used as therapeutic targets for DKD. By comparing the modules in the two compartments, we found that dysregulation of cell proliferation may significantly contribute to the development of DKD. Furthermore, our results concluded that DKD may be an immune-mediated degenerative disease. CONCLUSIONS: Our studies identified multiple genes that may play an important role in the pathogenesis of DKD and provided a system understanding of the potential relationships among these genes. We hope our study could aid in understanding of DKD and could provide the basis for DKD biomarker discovery.

摘要

背景:糖尿病肾病(DKD)是导致肾脏终末期疾病的主要原因之一。近年来,DKD 的发病率显著增加。然而,我们对 DKD 的分子机制的理解仍然是必要的,并且尚未开发出有效的治疗方法。

目的:我们旨在探讨 DKD 发生发展的分子机制,并对不同节段的 DKD 进行比较。

材料和方法:在这项研究中,我们采用系统生物学方法,分析了 22 例健康患者和 22 例 DKD 患者的肾小球和肾小管组织中基因表达谱。

结果:WGCNA(加权基因共表达网络分析)分析确定了肾小管中 10 个具有高拓扑重叠的基因模块和肾小球中 12 个基因模块。发现几个 TF(转录因子)在两个节段中均有表达,如 ETS1、ETV4、JUN、LITAF、NFE2、RARG 和 STAT5A。这些基因可能作为 DKD 的治疗靶点。通过比较两个节段的模块,我们发现细胞增殖失调可能是 DKD 发生发展的重要因素。此外,我们的研究结果表明 DKD 可能是一种免疫介导的退行性疾病。

结论:我们的研究确定了多个可能在 DKD 发病机制中起重要作用的基因,并对这些基因之间的潜在关系进行了系统的理解。我们希望我们的研究能有助于理解 DKD,并为 DKD 生物标志物的发现提供基础。

相似文献

[1]
Gene networks implicated in diabetic kidney disease.

Eur Rev Med Pharmacol Sci. 2012-12

[2]
[Bioinformatic analysis of immune-related transcription factors in diabetic kidney disease].

Xi Bao Yu Fen Zi Mian Yi Xue Za Zhi. 2024-6

[3]
Exploring the Role of CircRNA in Diabetic Kidney Disease from a Novel Perspective: Focusing on Both Glomeruli and Tubuli.

DNA Cell Biol. 2021-11

[4]
Transcriptome analysis of human diabetic kidney disease.

Diabetes. 2011-7-13

[5]
Diabetic kidney disease-predisposing proinflammatory and profibrotic genes identified by weighted gene co-expression network analysis (WGCNA).

J Cell Biochem. 2022-2

[6]
: A Novel Molecule Implicated in the Progression of Human Diabetic Kidney Disease.

Front Immunol. 2021

[7]
Systems biology of ovine intestinal parasite resistance: disease gene modules and biomarkers.

Mol Biosyst. 2011-1

[8]
Perspectives on systems biology applications in diabetic kidney disease.

J Cardiovasc Transl Res. 2012-6-26

[9]
Identification of key genes for diabetic kidney disease using biological informatics methods.

Mol Med Rep. 2017-9-29

[10]
Weighted gene co-expression network analysis identifies specific modules and hub genes related to coronary artery disease.

BMC Cardiovasc Disord. 2016-3-5

引用本文的文献

[1]
Urinary sediment CCL5 messenger RNA as a potential prognostic biomarker of diabetic nephropathy.

Clin Kidney J. 2021-9-28

[2]
ERK and p38 MAPK inhibition controls NF-E2 degradation and profibrotic signaling in renal proximal tubule cells.

Life Sci. 2021-12-15

[3]
Identification of hub genes in diabetic kidney disease via multiple-microarray analysis.

Ann Transl Med. 2020-8

[4]
Microarray analysis reveals gene and microRNA signatures in diabetic kidney disease.

Mol Med Rep. 2017-11-28

[5]
Make Precision Medicine Work for Chronic Kidney Disease.

Med Princ Pract. 2017

[6]
Glycemic memories and the epigenetic component of diabetic nephropathy.

Curr Diab Rep. 2013-8

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索