Prevalence of preeclampsia and uterine arteries resistance in the different phenotypes of gestational diabetes mellitus

Omega-3 fatty acids prevent gestational diabetes mellitus via modulation of lipid metabolism

The incidence rate of gestational diabetes mellitus (GDM) remains high among pregnant women in the second trimester of pregnancy. However, the main clinical approach to alleviate the symptoms of GDM is to control the diet. Our study explored the therapeutic effects of omega-3 fatty acids (ω-3 FAs) on GDM at the cellular and animal levels. We found that ω-3 FAs can promote the transformation of M0 macrophages into anti-inflammatory M2 macrophages. The transformed M2 macrophages promoted β-oxidation and reduced hepatocyte lipid synthesis (P < 0.05), thereby promoting hepatic function and preventing the excessive accumulation of lipid droplets in the hepatocyte cell line HepG2. Supplementation of ω-3 FAs in pregnant GDM mice significantly reduced fasting blood glucose levels, glucose tolerance test, and insulin tolerance test indices, and lipid accumulation in the liver and effectively prevented the occurrence of liver fibrosis (P < 0.05). These therapeutic effects may be mediated through the anti-inflammatory effects of ω-3 FAs (P < 0.05). ω-3 FAs also had positive effects on the offspring of pregnant GDM mice, as demonstrated by reduced birth mortality and improved glycemic stabilization (P < 0.05). In conclusion, this study provides a possible translational medicine strategy for the treatment of GDM.

Prediction of Gestational Diabetes Mellitus in the First Trimester of Pregnancy Based on Maternal Variables and Pregnancy Biomarkers

Gestational diabetes mellitus (GDM) is a significant health concern with adverse outcomes for both pregnant women and their offspring. Recognizing the need for early intervention, this study aimed to develop an early prediction model for GDM risk assessment during the first trimester. Utilizing a prospective cohort of 4917 pregnant women from the Third Department of Obstetrics and Gynecology, Aristotle University of Thessaloniki, Greece, the study sought to combine maternal characteristics, obstetric and medical history, and early pregnancy-specific biomarker concentrations into a predictive tool. The primary objective was to create a series of predictive models that could accurately identify women at high risk for developing GDM, thereby facilitating early and targeted interventions. To this end, maternal age, body mass index (BMI), obstetric and medical history, and biomarker concentrations were analyzed and incorporated into five distinct prediction models. The study's findings revealed that the models varied in effectiveness, with the most comprehensive model combining maternal characteristics, obstetric and medical history, and biomarkers showing the highest potential for early GDM prediction. The current research provides a foundation for future studies to refine and expand upon the predictive models, aiming for even earlier and more accurate detection methods.

Pregnancy outcomes in the different phenotypes of gestational diabetes mellitus based on the oral glucose tolerance test. A systematic review and meta-analysis

AIMS

To assess the prevalence variation in pregnancy outcomes of the different phenotypes of gestational diabetes mellitus (GDM).

MATERIALS

Cohort, cross sectional and case control studies grouping together pregnant women with GDM, based on the results of oral glucose tolerance test(OGTT) and reporting pregnancy outcomes in each group, were included. The primary outcomes were (i)large for gestational age and ii)hypertensive disorders of pregnancy (HDP). The secondary outcomes included (i)insulin treatment, ii)admission to neonatal intensive care unit, iii)preterm birth, iv)small for gestational age and v)caesarean section. The pooled proportions of the outcomes of interest were calculated for each phenotype.

RESULTS

8 studies (n = 20.928 women with GDM) were included. The pooled prevalence of LGA, HDP and insulin treatment were 20 %, 8 % and 24 % respectively in women with abnormal fasting plasma glucose,10 %, 6 % and 9 % respectively in women with abnormal post-load plasma glucose and 14 %,14 % and 30 % in women with abnormal combined plasma glucose.

CONCLUSIONS

Pregnant women with abnormal fasting plasma glucose, present with the highest prevalence of LGA, while those with abnormal combined plasma glucose, present with the highest prevalence of HDP. Pregnant women with abnormal post-load plasma glucose present with the lowest need for insulin treatment.

Different subtypes of gestational diabetes mellitus are associated with distinct perinatal outcomes in twin pregnancies

AIMS

To determine whether different gestational diabetes mellitus (GDM) subtypes are associated with distinct perinatal outcomes in twin pregnancies.

MATERIALS

This retrospective cohort study enrolled women with twin pregnancies who gave birth at a tertiary hospital between January 2017 and December 2022. GDM was diagnosed by the IADPSG diagnostic criteria. Three subtypes of GDM were defined as only abnormal fasting glucose (OAFG) values, only abnormal post-load glucose (OAPG) values and abnormal combined fasting and post-load glucose (ACFPG) values. Logistic regression or generalized estimation equation models were used to test the correlation of subtypes of GDM and perinatal outcomes.

RESULTS

GDM with OAPG had a slightly higher risk for preterm delivery (PTD) at <37 gestational weeks (aOR 1.22, 95 %CI 1.01-1.47) and neonatalintensivecareunit (NICU) admission (aOR 1.31, 95 %CI 1.09-1.57). GDM with ACFPG were associated with PTD at <37 gestational weeks (aOR 1.42, 95 %CI 1.06-1.89) and PTD at <34 gestational weeks (aOR 1.65, 95 % CI 1.14-2.39). GDM with OAFG had a lower risk of being small-for-gestational age (SGA) (aOR 0.48, 95 % CI 0.26-0.92).

CONCLUSIONS

Different subtypes of GDM are associated with distinct perinatal outcomes. Only abnormal fasting glucose levels may be responsible for reduced the risk of SGA neonates.