2021
DOI: 10.3390/jcm10071533
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Emerging Protein Biomarkers for the Diagnosis or Prediction of Gestational Diabetes—A Scoping Review

Abstract: Introduction: Gestational diabetes (GDM), defined as hyperglycemia with onset or initial recognition during pregnancy, has a rising prevalence paralleling the rise in type 2 diabetes (T2DM) and obesity. GDM is associated with short-term and long-term consequences for both mother and child. Therefore, it is crucial we efficiently identify all cases and initiate early treatment, reducing fetal exposure to hyperglycemia and reducing GDM-related adverse pregnancy outcomes. For this reason, GDM screening is recomme… Show more

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Cited by 14 publications
(8 citation statements)
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References 351 publications
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“…Due to the increased prevalence of GDM and the poor reproducibility of the OGTT, extensive research in recent years attempted to identify biomarkers that could aid in GDM prediction. In fact, a recent review found 589 different biomarkers evaluated for association with GDM [36]. Tested biomarkers include glycemic-related markers, adipokines, growth factors, pregnancy-related proteins, inflammatory markers, different hormones, coagulation factors, nucleic acids, glycoproteins, complement components, and many others (Figure 1).…”
Section: Predicting Gdm Using Individual Biomarkersmentioning
confidence: 99%
“…Due to the increased prevalence of GDM and the poor reproducibility of the OGTT, extensive research in recent years attempted to identify biomarkers that could aid in GDM prediction. In fact, a recent review found 589 different biomarkers evaluated for association with GDM [36]. Tested biomarkers include glycemic-related markers, adipokines, growth factors, pregnancy-related proteins, inflammatory markers, different hormones, coagulation factors, nucleic acids, glycoproteins, complement components, and many others (Figure 1).…”
Section: Predicting Gdm Using Individual Biomarkersmentioning
confidence: 99%
“…Therefore, their clinical benefit when applied to the most recent GDM definition has not yet been well investigated. Recently, a number of new markers have been evaluated for use in predicting GDM with variable success, such as protein biomarkers (23), adiponectin (24) and leptin (25), pentraxin 3 (26), trace elements (27), RNA (28), singlenucleotide polymorphisms (29), and other combined metabolite models (30)(31)(32)(33). The AUC values of some of these models can reach above 0.8.…”
Section: Discussionmentioning
confidence: 99%
“…The essential biomarkers for GDM detection are adipokines (leptin, tumor necrosis factor (TNF), interleukin 6 (IL-6), etc. ), glycoproteins (afamin, CD59, sex-hormone binding protein (SHBG)), pregnancy-associated plasma protein-A (PAPP-A), C-reactive protein (CRP), and retinol-binding protein 4 (RBP4) (Figure 1) [44,45]. To bring the screening and diagnosis of GDM disease into the 21st century, several ongoing research efforts will continue to develop more effective and accurate biomarkers.…”
Section: Potential Biomarkersmentioning
confidence: 99%