The field of gestational diabetes mellitus has attracted increasing attention and research in South Africa (SA) over the past decade, creating a better understanding of the disease burden, risk factors, availability of specialised healthcare services, and importantly the far-reaching maternal and childhood consequences beyond the pregnancy. This article brings together all the local published literature in the field and outlines the implications of this condition, together with recommendations regarding particular areas that require attention in order to prevent and alleviate the disease burden in SA.
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World J Clin Cases
January 2025
Department of Neurology, The Third Affiliated Hospital of Guizhou Medical University, Duyun 558099, Guizhou Province, China.
Gestational diabetes mellitus (GDM) refers to varying degrees of abnormal glucose metabolism that occur during pregnancy and excludes patients previously diagnosed with diabetes. GDM is a unique among the four subtypes of diabetes classified by the international World Health Organization standards. Although GDM patients constitute a small proportion of the total number of diabetes cases, the incidence of GDM has risen significantly over the past decade, posing substantial risk to pregnant women and infants.
View Article and Find Full Text PDFWorld J Clin Cases
January 2025
Department of Ophthalmology, RP Eye Institute, Delhi 110001, India.
The study by Cao aimed to identify early second-trimester biomarkers that could predict gestational diabetes mellitus (GDM) development using advanced proteomic techniques, such as Isobaric tags for relative and absolute quantitation isobaric tags for relative and absolute quantitation and liquid chromatography-mass spectrometry liquid chromatography-mass spectrometry. Their analysis revealed 47 differentially expressed proteins in the GDM group, with retinol-binding protein 4 and angiopoietin-like 8 showing significantly elevated serum levels compared to controls. Although these findings are promising, the study is limited by its small sample size ( = 4 per group) and lacks essential details on the reproducibility and reliability of the protein quantification methods used.
View Article and Find Full Text PDFCureus
December 2024
Obstetrics and Gynecology, Maternity and Children Hospital, Hail, SAU.
Globally, obesity prevalence has progressively increased and is now at epidemic levels; this trend is mirrored in women of childbearing age. There is a high level of evidence that maternal obesity is associated with a range of adverse pregnancy complications and neonatal outcomes, such as hypertensive disorders of pregnancy, gestational diabetes mellitus (GDM), large for gestational age (LGA) fetuses, premature birth, stillbirth, cesarean section, and postpartum hemorrhage, among certain others. This systematic review aimed to comprehensively evaluate the relationship between maternal obesity and health outcomes for both mothers and infants.
View Article and Find Full Text PDFFront Endocrinol (Lausanne)
December 2024
Department of Endocrinology, Chongqing Traditional Chinese Medicine Hospital, Chongqing, China.
Introduction: This study aims to explore the risk factors in the progression of gestational diabetes mellitus (GDM) to type 2 diabetes mellitus (T2DM).
Material And Methods: Relevant studies were comprehensively searched from PubMed, Web of Science, Cochrane Library, and Embase up to March 12. Data extraction was performed.
Front Mol Biosci
December 2024
Metabolomics Section, Department of Clinical Genomics, Center for Genomics Medicine, King Faisal Specialist Hospital and Research Centre (KFSHRC), Riyadh, Saudi Arabia.
Introduction: Gestational Diabetes Mellitus (GDM) is a metabolic disorder marked by Q10 hyperglycemia that can negatively affect both mothers and newborns. The increasing prevalence of GDM and the limitations associated with the standard diagnostic test highlight the urgent need for early screening strategies that promote timely interventions.
Methods: This study aims to investigate the metabolic profile associated with GDM through an untargeted metabolomic analysis using mass spectrometry (MS)- based omics.
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