OBJECTIVE: To evaluate the potential clinical utility of serum biomarkers for first-trimester prediction of gestational diabetes mellitus (GDM). METHODS: Maternal serum concentrations of glycosylated (Sambucus nigra lectin-reactive) fibronectin, adiponectin, sex hormone-binding globulin, placental lactogen, and high-sensitivity C-reactive protein (CRP) were measured at 5-13 weeks of gestation in a case-control study of 90 pregnant women with subsequent development of GDM and in 92 control group participants. Ability to detect GDM was assessed using logistic regression modeling and receiver operating characteristic (ROC) curves. Classification performance and positive and negative predictive values were reported at specific thresholds. Glycosylated fibronectin variation across trimesters was evaluated using a serial-measures analysis of 35 nondiabetic control group participants. RESULTS: First-trimester serum concentrations of glycosylated fibronectin, adiponectin, high-sensitivity CRP, and placental lactogen were significantly associated (P<.001) with GDM. After adjustment for maternal factors and other biomarkers, glycosylated fibronectin demonstrated an independent association with GDM (P<.001). Adiponectin, high-sensitivity CRP, and placental lactogen demonstrated modest classification performance compared with glycosylated fibronectin (respectively: area under the curve [AUC] 0.63; 95% confidence interval [CI] 0.53-0.71; AUC 0.68; 95% CI 0.60-0.76; and AUC 0.67, 95% CI 0.59-0.75; compared with AUC 0.91; 95% CI 0.87-0.96). Glycosylated fibronectin levels above a threshold of 120 mg/L correctly identified 57 GDM case group participants with a positive predictive value of 63% (95% CI 53-72%) and a negative predictive value of 95% (95% CI 94-95%) at a population prevalence of 12%. There was no association between sex hormone-binding globulin and GDM. CONCLUSION: First-trimester glycosylated fibronectin is a potential pregnancy-specific biomarker for early identification of women at risk for GDM. LEVEL OF EVIDENCE: II.
OBJECTIVE: To evaluate the potential clinical utility of serum biomarkers for first-trimester prediction of gestational diabetes mellitus (GDM). METHODS: Maternal serum concentrations of glycosylated (Sambucus nigra lectin-reactive) fibronectin, adiponectin, sex hormone-binding globulin, placental lactogen, and high-sensitivity C-reactive protein (CRP) were measured at 5-13 weeks of gestation in a case-control study of 90 pregnant women with subsequent development of GDM and in 92 control group participants. Ability to detect GDM was assessed using logistic regression modeling and receiver operating characteristic (ROC) curves. Classification performance and positive and negative predictive values were reported at specific thresholds. Glycosylated fibronectin variation across trimesters was evaluated using a serial-measures analysis of 35 nondiabetic control group participants. RESULTS: First-trimester serum concentrations of glycosylated fibronectin, adiponectin, high-sensitivity CRP, and placental lactogen were significantly associated (P<.001) with GDM. After adjustment for maternal factors and other biomarkers, glycosylated fibronectin demonstrated an independent association with GDM (P<.001). Adiponectin, high-sensitivity CRP, and placental lactogen demonstrated modest classification performance compared with glycosylated fibronectin (respectively: area under the curve [AUC] 0.63; 95% confidence interval [CI] 0.53-0.71; AUC 0.68; 95% CI 0.60-0.76; and AUC 0.67, 95% CI 0.59-0.75; compared with AUC 0.91; 95% CI 0.87-0.96). Glycosylated fibronectin levels above a threshold of 120 mg/L correctly identified 57 GDM case group participants with a positive predictive value of 63% (95% CI 53-72%) and a negative predictive value of 95% (95% CI 94-95%) at a population prevalence of 12%. There was no association between sex hormone-binding globulin and GDM. CONCLUSION: First-trimester glycosylated fibronectin is a potential pregnancy-specific biomarker for early identification of women at risk for GDM. LEVEL OF EVIDENCE: II.
Authors: E A Huhn; T Fischer; C S Göbl; M Todesco Bernasconi; M Kreft; M Kunze; A Schoetzau; E Dölzlmüller; W Eppel; P Husslein; N Ochsenbein-Koelble; R Zimmermann; E Bäz; H Prömpeler; E Bruder; S Hahn; I Hoesli Journal: BMJ Open Date: 2016-10-12 Impact factor: 2.692
Authors: Harinder Singh; Yanbao Yu; Moo-Jin Suh; Manolito G Torralba; Robert D Stenzel; Andrey Tovchigrechko; Vishal Thovarai; Derek M Harkins; Seesandra V Rajagopala; Whitney Osborne; Fran R Cogen; Paul B Kaplowitz; Karen E Nelson; Ramana Madupu; Rembert Pieper Journal: Theranostics Date: 2017-07-07 Impact factor: 11.556
Authors: Stamatina Iliodromiti; Jennifer Sassarini; Thomas W Kelsey; Robert S Lindsay; Naveed Sattar; Scott M Nelson Journal: Diabetologia Date: 2016-01-14 Impact factor: 10.122