Department of Biochemistry, Ewha Womans University College of Medicine, 25 Magokdong‑ro 2‑gil, Gangseo‑gu, Seoul, 07804, South Korea.
Department of Preventive Medicine, Seoul National University College of Medicine, 103, Daehak-ro, Jongro-gu, Seoul, 03080, South Korea.
Sci Rep. 2023 May 20;13(1):8175. doi: 10.1038/s41598-023-35485-x.
Since the etiology of diabetic chronic kidney disease (CKD) is multifactorial, studies on DNA methylation for kidney function deterioration have rarely been performed despite the need for an epigenetic approach. Therefore, this study aimed to identify epigenetic markers associated with CKD progression based on the decline in the estimated glomerular filtration rate in diabetic CKD in Korea. An epigenome-wide association study was performed using whole blood samples from 180 CKD recruited from the KNOW-CKD cohort. Pyrosequencing was also performed on 133 CKD participants as an external replication analysis. Functional analyses, including the analysis of disease-gene networks, reactome pathways, and protein-protein interaction networks, were conducted to identify the biological mechanisms of CpG sites. A phenome-wide association study was performed to determine the associations between CpG sites and other phenotypes. Two epigenetic markers, cg10297223 on AGTR1 and cg02990553 on KRT28 indicated a potential association with diabetic CKD progression. Based on the functional analyses, other phenotypes (blood pressure and cardiac arrhythmia for AGTR1) and biological pathways (keratinization and cornified envelope for KRT28) related to CKD were also identified. This study suggests a potential association between the cg10297223 and cg02990553 and the progression of diabetic CKD in Koreans. Nevertheless, further validation is needed through additional studies.
由于糖尿病慢性肾脏病 (CKD) 的病因是多因素的,尽管需要进行表观遗传学方法,但针对肾功能恶化的 DNA 甲基化研究很少。因此,本研究旨在基于韩国糖尿病 CKD 估算肾小球滤过率下降,确定与 CKD 进展相关的表观遗传标记。对来自 KNOW-CKD 队列的 180 名 CKD 患者的全血样本进行了全基因组关联研究。对 133 名 CKD 参与者进行了焦磷酸测序作为外部复制分析。进行了功能分析,包括疾病-基因网络、反应途径和蛋白质-蛋白质相互作用网络的分析,以确定 CpG 位点的生物学机制。进行了表型全基因组关联研究,以确定 CpG 位点与其他表型之间的关联。AGTR1 上的 cg10297223 和 KRT28 上的 cg02990553 这两个表观遗传标记表明与糖尿病 CKD 进展有潜在关联。基于功能分析,还确定了与 CKD 相关的其他表型(AGTR1 的血压和心律失常)和生物学途径(KRT28 的角化和角蛋白包膜)。本研究提示 cg10297223 和 cg02990553 与韩国人糖尿病 CKD 进展之间存在潜在关联。然而,还需要通过进一步的研究进行验证。