The Role of Angiogenic and Antiangiogenic Factors in the Second Trimester in the Prediction of Preeclampsia in Pregnant Women with Type 1 Diabetes
Overview
Authors
Affiliations
Objective: To assess the association between circulating angiogenic and antiangiogenic factors in the second trimester and risk of preeclampsia in women with type 1 diabetes.
Research Design And Methods: Maternal plasma concentrations of placental growth factor (PlGF), soluble fms-like tyrosine kinase 1 (sFlt-1), and soluble endoglin (sEng) were available at 26 weeks of gestation in 540 women with type 1 diabetes enrolled in the Diabetes and Preeclampsia Intervention Trial.
Results: Preeclampsia developed in 17% of pregnancies (n = 94). At 26 weeks of gestation, women in whom preeclampsia developed later had significantly lower PlGF (median [interquartile range]: 231 pg/mL [120-423] vs. 365 pg/mL [237-582]; P < 0.001), higher sFlt-1 (1,522 pg/mL [1,108-3,393] vs. 1,193 pg/mL [844-1,630] P < 0.001), and higher sEng (6.2 ng/mL [4.9-7.9] vs. 5.1 ng/mL[(4.3-6.2]; P < 0.001) compared with women who did not have preeclampsia. In addition, the ratio of PlGF to sEng was significantly lower (40 [17-71] vs. 71 [44-114]; P < 0.001) and the ratio of sFlt-1 to PlGF was significantly higher (6.3 [3.4-15.7] vs. 3.1 [1.8-5.8]; P < 0.001) in women who later developed preeclampsia. The addition of the ratio of PlGF to sEng or the ratio of sFlt-1 to PlGF to a logistic model containing established risk factors (area under the curve [AUC], 0.813) significantly improved the predictive value (AUC, 0.850 and 0.846, respectively; P < 0.01) and significantly improved reclassification according to the integrated discrimination improvement index (IDI) (IDI scores 0.086 and 0.065, respectively; P < 0.001).
Conclusions: These data suggest that angiogenic and antiangiogenic factors measured during the second trimester are predictive of preeclampsia in women with type 1 diabetes. The addition of the ratio of PlGF to sEng or the ratio of sFlt-1 to PlGF to established clinical risk factors significantly improves the prediction of preeclampsia in women with type 1 diabetes.
Chow R, Zhao J, Li Y, Curtis T, Lyons T, Yu J Eur J Pharmacol. 2024; 986:177138.
PMID: 39551338 PMC: 11634635. DOI: 10.1016/j.ejphar.2024.177138.
Karpova N, Dmitrenko O, Budykina T Int J Mol Sci. 2023; 24(7).
PMID: 37047717 PMC: 10095124. DOI: 10.3390/ijms24076744.
Zeisler H, Llurba E, Chantraine F, Vatish M, Staff A, Sennstrom M Ultrasound Obstet Gynecol. 2018; 53(3):367-375.
PMID: 30014562 PMC: 6590225. DOI: 10.1002/uog.19178.
Romero R, Erez O, Huttemann M, Maymon E, Panaitescu B, Conde-Agudelo A Am J Obstet Gynecol. 2017; 217(3):282-302.
PMID: 28619690 PMC: 6084482. DOI: 10.1016/j.ajog.2017.06.003.
Lima P, Chen Z, Tayab A, Murphy M, Pudwell J, Smith G PLoS One. 2017; 12(3):e0172988.
PMID: 28278173 PMC: 5344347. DOI: 10.1371/journal.pone.0172988.