• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
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
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
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 @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

评估归因于糖尿病肾病的终末期肾病患者中差异甲基化的基因座:一项探索性研究。

Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study.

机构信息

Molecular Epidemiology Research Group, Centre for Public Health, Queen's University Belfast, Belfast, UK.

Internal Medicine, Department of Nephrology, University of Michigan, Ann Arbor, MI, USA.

出版信息

Clin Epigenetics. 2021 May 1;13(1):99. doi: 10.1186/s13148-021-01081-x.

DOI:10.1186/s13148-021-01081-x
PMID:33933144
原文链接:
https://pmc.ncbi.nlm.nih.gov/articles/PMC8088646/
Abstract

BACKGROUND

A subset of individuals with type 1 diabetes mellitus (T1DM) are predisposed to developing diabetic kidney disease (DKD), the most common cause globally of end-stage kidney disease (ESKD). Emerging evidence suggests epigenetic changes in DNA methylation may have a causal role in both T1DM and DKD. The aim of this exploratory investigation was to assess differences in blood-derived DNA methylation patterns between individuals with T1DM-ESKD and individuals with long-duration T1DM but no evidence of kidney disease upon repeated testing to identify potential blood-based biomarkers. Blood-derived DNA from individuals (107 cases, 253 controls and 14 experimental controls) were bisulphite treated before DNA methylation patterns from both groups were generated and analysed using Illumina's Infinium MethylationEPIC BeadChip arrays (n = 862,927 sites). Differentially methylated CpG sites (dmCpGs) were identified (false discovery rate adjusted p ≤ × 10 and fold change ± 2) by comparing methylation levels between ESKD cases and T1DM controls at single site resolution. Gene annotation and functionality was investigated to enrich and rank methylated regions associated with ESKD in T1DM.

RESULTS

Top-ranked genes within which several dmCpGs were located and supported by functional data with methylation look-ups in other cohorts include: AFF3, ARID5B, CUX1, ELMO1, FKBP5, HDAC4, ITGAL, LY9, PIM1, RUNX3, SEPTIN9 and UPF3A. Top-ranked enrichment pathways included pathways in cancer, TGF-β signalling and Th17 cell differentiation.

CONCLUSIONS

Epigenetic alterations provide a dynamic link between an individual's genetic background and their environmental exposures. This robust evaluation of DNA methylation in carefully phenotyped individuals has identified biomarkers associated with ESKD, revealing several genes and implicated key pathways associated with ESKD in individuals with T1DM.

摘要

背景

一小部分 1 型糖尿病(T1DM)患者易患糖尿病肾病(DKD),这是全球范围内导致终末期肾病(ESKD)的最常见原因。新出现的证据表明,DNA 甲基化的表观遗传变化可能在 T1DM 和 DKD 中都具有因果关系。本探索性研究的目的是评估 T1DM-ESKD 个体与长期 T1DM 但经多次检测无肾脏疾病证据的个体之间血液源性 DNA 甲基化模式的差异,以确定潜在的基于血液的生物标志物。对个体的血液源性 DNA(107 例病例、253 例对照和 14 例实验对照)进行亚硫酸氢盐处理,然后生成两组的 DNA 甲基化模式,并使用 Illumina 的 Infinium 甲基化 EPIC BeadChip 阵列(n=862927 个位点)进行分析。通过比较 ESKD 病例和 T1DM 对照之间的单个位点分辨率的甲基化水平,鉴定出差异甲基化的 CpG 位点(dmCpGs)(调整后的假发现率 p≤×10 和 2±倍变化)。通过在其他队列中进行甲基化查找,对包含多个 dmCpGs 的基因注释和功能进行了研究,以富集和排列与 T1DM 中 ESKD 相关的甲基化区域。

结果

在功能数据中,几个 dmCpGs 位于排名靠前的基因内,并且得到了支持,并且在其他队列中进行了甲基化查找,包括 AFF3、ARID5B、CUX1、ELMO1、FKBP5、HDAC4、ITGAL、LY9、PIM1、RUNX3、SEPTIN9 和 UPF3A。排名靠前的富集途径包括癌症途径、TGF-β 信号转导和 Th17 细胞分化途径。

结论

表观遗传改变为个体的遗传背景与其环境暴露之间提供了动态联系。对精心表型个体的 DNA 甲基化进行了稳健评估,鉴定出与 ESKD 相关的生物标志物,揭示了与 T1DM 中 ESKD 相关的几个基因和关键途径。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1063/8088646/57df81240c55/13148_2021_1081_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1063/8088646/57df81240c55/13148_2021_1081_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1063/8088646/57df81240c55/13148_2021_1081_Fig1_HTML.jpg

相似文献

1
Assessment of differentially methylated loci in individuals with end-stage kidney disease attributed to diabetic kidney disease: an exploratory study.评估归因于糖尿病肾病的终末期肾病患者中差异甲基化的基因座:一项探索性研究。
Clin Epigenetics. 2021 May 1;13(1):99. doi: 10.1186/s13148-021-01081-x.
2
Distinct methylation patterns in genes that affect mitochondrial function are associated with kidney disease in blood-derived DNA from individuals with Type 1 diabetes.影响线粒体功能的基因中不同的甲基化模式与1型糖尿病患者血液来源DNA中的肾脏疾病有关。
Diabet Med. 2015 Aug;32(8):1110-5. doi: 10.1111/dme.12775. Epub 2015 May 10.
3
Differential Methylation of Telomere-Related Genes Is Associated with Kidney Disease in Individuals with Type 1 Diabetes.端粒相关基因的差异甲基化与 1 型糖尿病患者的肾脏疾病有关。
Genes (Basel). 2023 Apr 30;14(5):1029. doi: 10.3390/genes14051029.
4
Epigenome-wide meta-analysis identifies DNA methylation biomarkers associated with diabetic kidney disease.全基因组表观遗传Meta 分析鉴定与糖尿病肾病相关的 DNA 甲基化生物标志物。
Nat Commun. 2022 Dec 22;13(1):7891. doi: 10.1038/s41467-022-34963-6.
5
Effects of metabolic memory on inflammation and fibrosis associated with diabetic kidney disease: an epigenetic perspective.代谢记忆对糖尿病肾病相关炎症和纤维化的影响:表观遗传学视角
Clin Epigenetics. 2021 Apr 21;13(1):87. doi: 10.1186/s13148-021-01079-5.
6
Kidney failure risk in type 1 vs. type 2 childhood-onset diabetes mellitus.1型与2型儿童期起病的糖尿病患者的肾衰竭风险
Pediatr Nephrol. 2021 Feb;36(2):333-340. doi: 10.1007/s00467-020-04631-2. Epub 2020 Aug 6.
7
Genome-wide DNA methylation analysis for diabetic nephropathy in type 1 diabetes mellitus.1 型糖尿病糖尿病肾病的全基因组 DNA 甲基化分析。
BMC Med Genomics. 2010 Aug 5;3:33. doi: 10.1186/1755-8794-3-33.
8
Association of Coding Variants in Hydroxysteroid 17-beta Dehydrogenase 14 () with Reduced Progression to End Stage Kidney Disease in Type 1 Diabetes.1 型糖尿病中羟甾体 17-β 脱氢酶 14()编码变异与进展为终末期肾病风险降低的关联。
J Am Soc Nephrol. 2021 Oct;32(10):2634-2651. doi: 10.1681/ASN.2020101457. Epub 2021 Jul 14.
9
Epigenetics and epigenomics in diabetic kidney disease and metabolic memory.糖尿病肾病和代谢记忆中的表观遗传学和表观基因组学。
Nat Rev Nephrol. 2019 Jun;15(6):327-345. doi: 10.1038/s41581-019-0135-6.
10
Genome-wide analysis of DNA methylation in subjects with type 1 diabetes identifies epigenetic modifications associated with proliferative diabetic retinopathy.对1型糖尿病患者进行全基因组DNA甲基化分析,确定了与增殖性糖尿病视网膜病变相关的表观遗传修饰。
BMC Med. 2015 Aug 6;13:182. doi: 10.1186/s12916-015-0421-5.

引用本文的文献

1
Advances in the Epigenetic Mechanisms of Diabetic Nephropathy Pathogenesis.糖尿病肾病发病机制的表观遗传机制研究进展
Diabetes Metab Syndr Obes. 2025 Jul 30;18:2629-2639. doi: 10.2147/DMSO.S507171. eCollection 2025.
2
Methylation of LINE-1 Retroelement in People with Type 1 Diabetes.1型糖尿病患者中LINE-1反转录元件的甲基化
Genes (Basel). 2025 Jun 28;16(7):759. doi: 10.3390/genes16070759.
3
Molecular frontiers in hemodialysis: unraveling the role of membranes in gene expression, epigenetics, and inflammatory pathways.

本文引用的文献

1
Genetics of diabetes mellitus and diabetes complications.糖尿病及其并发症的遗传学。
Nat Rev Nephrol. 2020 Jul;16(7):377-390. doi: 10.1038/s41581-020-0278-5. Epub 2020 May 12.
2
The reactome pathway knowledgebase.Reactome 通路知识库。
Nucleic Acids Res. 2020 Jan 8;48(D1):D498-D503. doi: 10.1093/nar/gkz1031.
3
Influences Antimetabolite Drug Sensitivity and Prognosis of Acute Lymphoblastic Leukemia.影响抗代谢药物敏感性和急性淋巴细胞白血病预后的因素。
血液透析的分子前沿:揭示膜在基因表达、表观遗传学和炎症途径中的作用
Int Urol Nephrol. 2025 Jun 25. doi: 10.1007/s11255-025-04613-z.
4
CpG methylation changes associated with hyperglycemia in type 1 diabetes occur at angiogenic glomerular and retinal gene loci.1型糖尿病中与高血糖相关的CpG甲基化变化发生在血管生成性肾小球和视网膜基因位点。
Sci Rep. 2025 May 8;15(1):15999. doi: 10.1038/s41598-024-82698-9.
5
The rs3844492/ARHGAP22 and rs741301/ELMO1 polymorphisms are associated with changes in laboratory markers of renal damage among patients with type 2 diabetes mellitus.rs3844492/ARHGAP22和rs741301/ELMO1基因多态性与2型糖尿病患者肾脏损伤实验室指标的变化相关。
Arch Endocrinol Metab. 2025 Apr 23;69(2):e240167. doi: 10.20945/2359-4292-2024-0167.
6
DNA methylation in the association between pesticide exposures and type 2 diabetes.农药暴露与2型糖尿病关联中的DNA甲基化
World J Diabetes. 2025 Feb 15;16(2):99200. doi: 10.4239/wjd.v16.i2.99200.
7
Genetic analysis of elevated levels of creatinine and cystatin C biomarkers reveals novel genetic loci associated with kidney function.对肌酐和胱抑素C生物标志物水平升高进行基因分析,发现了与肾功能相关的新基因位点。
Hum Mol Genet. 2025 Apr 17;34(9):751-764. doi: 10.1093/hmg/ddaf018.
8
Blood methylation biomarkers are associated with diabetic kidney disease progression in type 1 diabetes.血液甲基化生物标志物与1型糖尿病患者的糖尿病肾病进展相关。
medRxiv. 2024 Nov 29:2024.11.28.24318055. doi: 10.1101/2024.11.28.24318055.
9
Role of Epigenetic Changes in the Pathophysiology of Diabetic Kidney Disease.表观遗传变化在糖尿病肾病病理生理学中的作用
Glomerular Dis. 2024 Nov 13;4(1):211-226. doi: 10.1159/000541923. eCollection 2024 Jan-Dec.
10
Integrated multiomic analyses: An approach to improve understanding of diabetic kidney disease.综合多组学分析:一种增进对糖尿病肾病理解的方法。
Diabet Med. 2025 Feb;42(2):e15447. doi: 10.1111/dme.15447. Epub 2024 Oct 26.
Clin Cancer Res. 2020 Jan 1;26(1):256-264. doi: 10.1158/1078-0432.CCR-19-0190. Epub 2019 Oct 1.
4
Genome-Wide Association Study of Diabetic Kidney Disease Highlights Biology Involved in Glomerular Basement Membrane Collagen.全基因组关联研究揭示了糖尿病肾病中肾小球基底膜胶原相关的生物学机制。
J Am Soc Nephrol. 2019 Oct;30(10):2000-2016. doi: 10.1681/ASN.2019030218. Epub 2019 Sep 19.
5
Long-term peritoneal dialysis treatment provokes activation of genes related to adaptive immunity.长期腹膜透析治疗会引发与适应性免疫相关的基因激活。
Physiol Res. 2019 Oct 25;68(5):775-783. doi: 10.33549/physiolres.934158. Epub 2019 Aug 19.
6
Cux1 regulation of the cyclin kinase inhibitor p27 in polycystic kidney disease is attenuated by HDAC inhibitors.组蛋白去乙酰化酶抑制剂可减弱多囊肾病中Cux1对细胞周期蛋白激酶抑制剂p27的调控作用。
Gene X. 2019 Jun;2. doi: 10.1016/j.gene.2019.100007. Epub 2019 Feb 12.
7
Intergrated analysis of ELMO1, serves as a link between tumour mutation burden and epithelial-mesenchymal transition in hepatocellular carcinoma.ELMO1 的综合分析在肝癌中作为肿瘤突变负担与上皮-间充质转化之间的联系。
EBioMedicine. 2019 Aug;46:105-118. doi: 10.1016/j.ebiom.2019.07.002. Epub 2019 Jul 16.
8
T-cell large granular lymphocyte leukemia in solid organ transplant recipients: case series and review of the literature.实体器官移植受者中的 T 细胞大颗粒淋巴细胞白血病:病例系列和文献复习。
Int J Hematol. 2019 Sep;110(3):313-321. doi: 10.1007/s12185-019-02682-2. Epub 2019 Jun 27.
9
eFORGE v2.0: updated analysis of cell type-specific signal in epigenomic data.eFORGE v2.0:在表观基因组数据中分析细胞类型特异性信号的更新。
Bioinformatics. 2019 Nov 1;35(22):4767-4769. doi: 10.1093/bioinformatics/btz456.
10
Identification of Novel T1D Risk Loci and Their Association With Age and Islet Function at Diagnosis in Autoantibody-Positive T1D Individuals: Based on a Two-Stage Genome-Wide Association Study.基于两阶段全基因组关联研究的自身抗体阳性 1 型糖尿病个体中新型 1 型糖尿病风险基因座的鉴定及其与诊断时年龄和胰岛功能的关系。
Diabetes Care. 2019 Aug;42(8):1414-1421. doi: 10.2337/dc18-2023. Epub 2019 May 31.