DNA甲基化与1型糖尿病患者28年肾病发病率的关系

IF 3.2 Q1 UROLOGY & NEPHROLOGY
Kidney360 Pub Date : 2025-06-09 DOI:10.34067/KID.0000000881
Rachel G Miller, Josyf C Mychaleckyj, Suna Onengut-Gumuscu, Trevor J Orchard, Tina Costacou
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引用次数: 0

摘要

背景:1型糖尿病(T1D)患者DNA甲基化(DNAm)与糖尿病肾病(DKD)的全表观基因组关联研究(EWAS)主要集中在晚期疾病。我们假设DNAm是DKD早期表现、微量白蛋白尿(MA)和显性肾病(ON)的生物标志物,独立于T1D的传统危险因素。因此,我们在匹兹堡糖尿病并发症流行病学(EDC) T1D队列中分别对28岁的MA和ON进行了EWAS。方法:我们分析了基线全血DNAm(总n=405名参与者;683,597 CpGs)和基线时无并发症的EDC参与者的事件发生时间(n=224符合MA分析,n=306符合ON分析)。我们还鉴定了差异甲基化区域(DMRs),评估了dkd相关CpGs与确定的临床危险因素之间的关联,并进行了计算机功能分析。在二级分析中,我们对基线(ON或估计肾小球滤过率(eGFR) 15-59 ml/min/1.73m2, n=99)存在DKD的参与者进行ESKD EWAS,与先前的研究进行比较。结论:包括HDAC11(与肾纤维化有关)和CRELD2(与血管生成有关)在内的基因座的表观遗传修饰可能有助于T1D早期肾脏损害,因此值得进一步研究,作为未来风险的潜在生物标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DNA Methylation and 28-Year Incidence of Kidney Disease in Type 1 Diabetes.

Background: Prior epigenome-wide association studies (EWAS) of DNA methylation (DNAm) and diabetic kidney disease (DKD) in type 1 diabetes (T1D) focused on advanced disease. We hypothesized DNAm is a biomarker of earlier manifestations of DKD, microalbuminuria (MA) and overt nephropathy (ON), independent of traditional risk factors in T1D. We thus performed separate EWAS of 28-year MA and ON in the Pittsburgh Epidemiology of Diabetes Complications (EDC) T1D cohort.

Methods: We analyzed baseline whole blood DNAm (total n=405 participants; 683,597 CpGs) and time-to-event in EDC participants free of each respective complication at baseline (n=224 eligible for MA analysis, n=306 eligible for ON analysis). We also identified differentially methylated regions (DMRs), assessed associations between DKD-associated CpGs and established clinical risk factors, and performed in silico functional analyses. In secondary analyses, we performed EWAS of ESKD in participants with existing DKD at baseline (ON or estimated glomerular filtration rate (eGFR) 15-59 ml/min/1.73m2, n=99) for comparison to prior studies.

Results: DNAm at cg06568490 (HDAC11) and cg13618568 (CRELD2) was associated with MA incidence (False Discovery Rate [FDR]<0.05). Associations between both CpGs and MA remained similar after risk factor adjustment. We also identified 48 significant DMRs (Šidák value<0.05) for MA. For ON, no individual CpGs had FDR<0.05, but there were 35 significant DMRs. Pathways in Signal Transduction were the most significantly enriched for both endpoints. In EWAS of ESKD, no CpGs were significant in minimally adjusted models, while cg09867934 (ETFDH) was significantly associated with ESKD after adjusting for clinical risk factors (FDR=0.002), but there was little overlap with previously published studies of DNAm and ESKD in T1D.

Conclusions: Epigenetic modification of loci including HDAC11, which has been associated with kidney fibrosis, and CRELD2, which is involved in angiogenesis, may contribute to early kidney damage in T1D, thus warranting further study as potential biomarkers of future risk.

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Kidney360
Kidney360 UROLOGY & NEPHROLOGY-
CiteScore
3.90
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