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DNA 甲基化分析揭示了砷对妊娠期糖尿病的影响。

DNA methylation analysis reveals the effect of arsenic on gestational diabetes mellitus.

机构信息

Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China; Department of Endocrinology, The Second Hospital of Shanxi Medical University, Taiyuan 030001, China.

Department of Epidemiology, School of Public Health, Shanxi Medical University, Taiyuan 030001, China; Center of Clinical Epidemiology and Evidence Based Medicine, Shanxi Medical University, Taiyuan 030001, China.

出版信息

Genomics. 2023 Sep;115(5):110674. doi: 10.1016/j.ygeno.2023.110674. Epub 2023 Jun 29.

DOI:10.1016/j.ygeno.2023.110674
PMID:37392895
Abstract

BACKGROUND

Arsenic (As) exposure is one of the risk factors for gestational diabetes mellitus (GDM). This study aimed to explore the effect of As-exposure on DNA methylation in GDM and to establish a risk assessment model of GDM in As exposed pregnant women.

METHOD

We collected elbow vein blood of pregnant women before delivery to measure As concentration and DNA methylation data. Then compared the DNA methylation data and established a nomogram.

RESULT

We identified a total of 10 key differentially methylated CpGs (DMCs) and found 6 corresponding genes. Functions were enriched in Hippo signaling pathway, cell tight junction, prophetic acid metabolism, ketone body metabolic process, and antigen processing and presentation. A nomogram was established that can predict GDM risks (c-index = 0.595, s:p = 0.973).

CONCLUSION

We found 6 genes associated with GDM with high As exposure. The prediction of the nomograms has been proven to be effective.

摘要

背景

砷(As)暴露是妊娠糖尿病(GDM)的危险因素之一。本研究旨在探讨 As 暴露对 GDM 中 DNA 甲基化的影响,并建立 As 暴露孕妇 GDM 的风险评估模型。

方法

我们采集了孕妇分娩前肘静脉血,以测量 As 浓度和 DNA 甲基化数据。然后比较 DNA 甲基化数据并建立了一个列线图。

结果

我们总共鉴定出 10 个关键差异甲基化 CpG(DMC),并找到了 6 个对应的基因。功能富集于 Hippo 信号通路、细胞紧密连接、丙酸代谢、酮体代谢过程和抗原加工与呈递。建立了一个列线图,可以预测 GDM 风险(c 指数=0.595,s:p=0.973)。

结论

我们发现了 6 个与高 As 暴露相关的与 GDM 相关的基因。该列线图的预测已被证明是有效的。

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