Gestational diabetes mellitus: A harbinger of the vicious cycle of diabetes

Emilyn U. Alejandro, Therriz P. Mamerto, Grace Chung, Adrian Villavieja, Nawirah Lumna Gaus, Elizabeth Morgan, Maria Ruth B. Pineda-Cortel

Research output: Contribution to journalReview articlepeer-review

Abstract

Gestational diabetes mellitus (GDM), characterized by a transitory form of diabetes induced by insulin resistance and pancreatic β-cell dysfunction during pregnancy, has been identified as one of the major obstacles in achieving improved maternal and child health. Approximately 9–25% of pregnancies worldwide are impacted by the acute, long-term, and transgenerational health complications of this disease. Here, we discuss how GDM affects longstanding maternal and neonatal outcomes, as well as health risks that likely persist into future generations. In addition to the current challenges in the management and diagnosis of and the complications associated with GDM, we discuss current preclinical models of GDM to better understand the underlying pathophysiology of the disease and the timely need to increase our scientific toolbox to identify strategies to prevent and treat GDM, thereby advancing clinical care.

Original languageEnglish (US)
Article number5003
Pages (from-to)1-21
Number of pages21
JournalInternational journal of molecular sciences
Volume21
Issue number14
DOIs
StatePublished - Jul 2 2020

Bibliographical note

Funding Information:
This research was funded by the Philippine Council for Health Research and Development ? Department of Science and Technology (Grant MOA 18?0200 and 19?0663 to M.R.B.P.-C.) and the National Institutes of Health Grant NIDDK (R21-DK112144, R03-DK114465, R01-DK115720, and McKnight and IBP start-up funds to E.U.A). Acknowledgments: We thank Eric Gustafson for technical assistance with the review. We thank Ronald Ygona for Figure 1. We thank the PCHRD Balik Scientist Program for funding support for EUA.

Funding Information:
Funding: This research was funded by the Philippine Council for Health Research and Development – Department of Science and Technology (Grant MOA 18–0200 and 19–0663 to M.R.B.P.-C.) and the National of ScieInncsetitauntdesT oefcHhenaoltlho gGyr(aGnrt aNnItDDMKO (AR2118-–D0K201012a1n4d41, 09R3–-0D6K6311t4o4M65.,R R.B0.1P-.D-CK1.1) 5a7n2d0t, haendN aMticoKnnaligInhst taitnudte IsBoPf sHtaeratl-th GrantuNpIfDunDdKs (tRoE 2.1U-D.AK).112144, R03-DK114465, R01-DK115720, and McKnight and IBP start-up funds to E.U.A).

Publisher Copyright:
© 2020 by the authors. Licensee MDPI, Basel, Switzerland.

Keywords

  • Diabetes animal models
  • Fetal programming
  • Gestational diabetes mellitus and diabetes
  • Glycemic control
  • Hyperglycemia
  • Insulin
  • Obesity
  • Placenta
  • Polycystic ovary syndrome
  • Pregnancy complications
  • Type 2 diabetes

PubMed: MeSH publication types

  • Journal Article
  • Review

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