Gestational Diabetes Mellitus, Postpartum Lipidomic Signatures, and Subsequent Risk of Type 2 Diabetes: A Lipidome-Wide Association Study

妊娠期糖尿病 脂质体 2型糖尿病 医学 前瞻性队列研究 四分位间距 糖尿病 怀孕 内科学 内分泌学 1型糖尿病 产科 妊娠期 生物 脂质代谢 遗传学
作者
Guoying Wang,Jessie P. Buckley,Tami R Bartell,Xiumei Hong,COLLEEN PEARSON,Xiaobin Wang
标识
DOI:10.2337/figshare.22289449
摘要

<p><em><strong>OBJECTIVE</strong></em> To identify a postpartum lipidomic signature associated with gestational diabetes (GDM) and investigate the role of the identified lipids in the progression to type 2 diabetes (T2D).</p> <p><em><strong>RESEARCH DESIGN AND METHODS</strong></em> This was a prospective cohort study of 1409 women who were enrolled at 24-72 hours after delivery of a singleton baby and followed prospectively at the Boston Medical Center, Boston, MA. Lipidome was profiled by liquid chromatography–tandem mass spectrometry platform. Diagnoses of GDM and incident T2D were extracted from medical records and verified using plasma glucose levels. </p> <p><em><strong>RESULTS</strong></em> Mean (SD) age of study women at baseline was 28.5±6.6 years. 219 (16.4%) women developed incident diabetes over a median (interquartile range) follow-up of 11.8 (8.2-14.8) years. We identified 33 postpartum lipid species associated with GDM, including 16 inverse associations (primarily cholesterol esters and phosphatidylcholine plasmalogens), and 17 positive associations (primarily diacyglycerols and triacyglycerols). Of these, 4 were associated with risk of incident T2D and mediated about 12% of the progression from GDM to T2D. The identified lipid species modestly improved the predictive performance for incident T2D above classical risk factors when the entire follow-up period was considered. </p> <p><em><strong>CONCLUSIONS</strong></em> GDM was associated with a wide range of lipid metabolic alterations at early postpartum, among which some lipid species were also associated with incident T2D and mediated the progression from GDM to T2D. The improvements attained by including lipid species in the prediction of T2D provides new insights regarding the early detection and prevention of progression to T2D.</p>
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