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

Ying Gao; Hu Wang; Gan Fu; Yongliang Feng; Weiwei Wu; Hailan Yang; Yawei Zhang; Suping Wang

doi:10.1016/j.ygeno.2023.110674

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

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

Authors

Ying Gao¹, Hu Wang², Gan Fu², Yongliang Feng², Weiwei Wu², Hailan Yang³, Yawei Zhang⁴, Suping Wang⁵

Affiliations

¹ 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.
² 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.
³ Department of Obstetrics, The First Hospital of Shanxi Medical University, Taiyuan 030001, China.
⁴ National Cancer Center, National Clinical Research Center for Cancer, Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China.
⁵ 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. Electronic address: supingwang@sxmu.edu.cn.

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

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.

Keywords: Arsenic; DNA methylation; Gestational diabetes mellitus; Nomograph.

MeSH terms

Arsenic* / metabolism
Arsenic* / toxicity
DNA Methylation
Diabetes, Gestational* / genetics
Diabetes, Gestational* / metabolism
Female
Fetal Blood
Humans
Pregnancy
Risk Assessment

Substances

Arsenic