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Open AccessArticle

The Predictive Value of miR-16, -29a and -134 for Early Identification of Gestational Diabetes: A Nested Analysis of the DALI Cohort

1
Department of Science and Environment, Roskilde University, 4000 Roskilde, Denmark
2
Institute of Human Movement Science, Sport and Health, University of Graz, 8010 Graz, Austria
3
Department of Obstetrics and Gynecology, Medizinische Universitaet Graz, 8036 Graz, Austria
4
Center for Pregnant Women with Diabetes, Department of Obstetrics, Rigshospitalet, Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
5
Macarthur Clinical School, Western Sydney University, Sydney 2560, Australia
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Steno Diabetes Center Odense, Department of Gynecology and Obstetrics, Odense University Hospital, 5000 Odense, Denmark
7
Department of Gynecology and Obstetrics, Odense University Hospital, 5000 Odense, Denmark
8
Department of Clinical Research, Faculty of Health Sciences, University of Southern Denmark, 5000 Odense, Denmark
*
Author to whom correspondence should be addressed.
The DALI Core Investigator Group are listed in Members of the DALI Core Investigator Group.
Cells 2021, 10(1), 170; https://doi.org/10.3390/cells10010170
Received: 15 December 2020 / Revised: 8 January 2021 / Accepted: 14 January 2021 / Published: 15 January 2021
(This article belongs to the Special Issue Molecular Mechanisms in Metabolic Disease)
Early identification of gestational diabetes mellitus (GDM) aims to reduce the risk of adverse maternal and perinatal outcomes. Currently, no circulating biomarker has proven clinically useful for accurate prediction of GDM. In this study, we tested if a panel of small non-coding circulating RNAs could improve early prediction of GDM. We performed a nested case-control study of participants from the European multicenter ‘Vitamin D and lifestyle intervention for GDM prevention (DALI)’ trial using serum samples from obese pregnant women (BMI ≥ 29 kg/m2) entailing 82 GDM cases (early- and late- GDM), and 41 age- and BMI-matched women with normal glucose tolerance (NGT) throughout pregnancy (controls). Anthropometric, clinical and biochemical characteristics were obtained at baseline (<20 weeks of gestation) and throughout gestation. Baseline serum microRNAs (miRNAs) were measured using quantitative real time PCR (qPCR). Elevated miR-16-5p, -29a-3p, and -134-5p levels were observed in women, who were NGT at baseline and later developed GDM, compared with controls who remained NGT. A combination of the three miRNAs could distinguish later GDM from NGT cases (AUC 0.717, p = 0.001, compared with fasting plasma glucose (AUC 0.687, p = 0.004)) as evaluated by area under the curves (AUCs) using Receiver Operator Characteristics (ROC) analysis. Elevated levels of individual miRNAs or a combination hereof were associated with higher odds ratios of GDM. Conclusively, circulating miRNAs early in pregnancy could serve as valuable predictive biomarkers of GDM. View Full-Text
Keywords: gestational diabetes mellitus; microRNAs; predictive biomarker; serum; circulating microRNA; miR-16-5p; miR-29a-3p; miR-134-5p; miR-122-5p; randomized control trial; obesity; pregnancy gestational diabetes mellitus; microRNAs; predictive biomarker; serum; circulating microRNA; miR-16-5p; miR-29a-3p; miR-134-5p; miR-122-5p; randomized control trial; obesity; pregnancy
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MDPI and ACS Style

Sørensen, A.E.; van Poppel, M.N.M.; Desoye, G.; Damm, P.; Simmons, D.; Jensen, D.M.; Dalgaard, L.T.; The DALI Core Investigator Group. The Predictive Value of miR-16, -29a and -134 for Early Identification of Gestational Diabetes: A Nested Analysis of the DALI Cohort. Cells 2021, 10, 170. https://doi.org/10.3390/cells10010170

AMA Style

Sørensen AE, van Poppel MNM, Desoye G, Damm P, Simmons D, Jensen DM, Dalgaard LT, The DALI Core Investigator Group. The Predictive Value of miR-16, -29a and -134 for Early Identification of Gestational Diabetes: A Nested Analysis of the DALI Cohort. Cells. 2021; 10(1):170. https://doi.org/10.3390/cells10010170

Chicago/Turabian Style

Sørensen, Anja E.; van Poppel, Mireille N.M.; Desoye, Gernot; Damm, Peter; Simmons, David; Jensen, Dorte M.; Dalgaard, Louise T.; The DALI Core Investigator Group. 2021. "The Predictive Value of miR-16, -29a and -134 for Early Identification of Gestational Diabetes: A Nested Analysis of the DALI Cohort" Cells 10, no. 1: 170. https://doi.org/10.3390/cells10010170

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