High-Density Lipoproteins-Cholesterol (HDL-C) in Women With Gestational Diabetes (GDM): A Predictor for Large Gestational Age (LGA) Babies.

Introduction The present study aimed to evaluate the associations between the clinical and biochemical characteristics of women with gestational diabetes (GDM) and the incidence of large for gestational age (LGA) babies. Methods This cohort study included data collected during prenatal follow-up of GDM women from January 2008 to August 2022. Clinical and biochemical variables were compared among small (SGA), adequate (AGA), or large for gestational age (LGA) babies. Associations of the main variables with the incidence of LGA were determined by multiple regression analysis. Results Out of 659 women, 56 had LGA, 547 had AGA, and 56 had SGA babies. We observed differences in the means of age, pregestational body mass index (BMI), high-density lipoproteins-cholesterol (HDL-C) levels, gestational weight gain (GWG), and gestational age at birth according to LGA, AGA, and SGA (p < 0.05). All other variables were not different between the groups. The frequencies (%) and relative risk (RR) of LGA babies were evaluated according to HDL-C in the first tertile and/or obesity, with 12.2% and risk ratio (RR)=2.77 (95% confidence interval (CI) 1.35-5.69, p=0.005) if the women had obesity and HDL in the first tertile, 11.3% and RR=2.27 (95% CI 1.03-5.03, p=0.042) if only HDL in the first tertile was present, 10.9% and RR=2.68 (95% CI 1.31-5.48, p=0.007) if the women had only obesity, using as a reference group those women without obesity or HDL-C in the first tertile (4.6% and RR=1) adjusted for age, age at birth and GWG. Conclusion In women with GDM, lower levels of HDL-cholesterol during pregnancy, as well as pregestational obesity, seem to be good predictors of the occurrence of LGA babies.

The Effects of Pregestational Overweight and Obesity on Maternal Lipidome in Pregnancy: Implications for Newborns' Characteristics.

Obesity is an important risk factor for the development of pregnancy complications. We investigated the effects of pregestational overweight and obesity on maternal lipidome during pregnancy and on newborns' characteristics. The study encompassed 131 pregnant women, 99 with pre-pregnancy body mass index (BMI) < 25 kg/m2 and 32 with BMI ≥ 25 kg/m2. Maternal lipid status parameters, plasma markers of cholesterol synthesis and absorption and sphingolipids were determined in each trimester. Data on neonatal height, weight and APGAR scores were assessed. The results showed a higher prevalence (p < 0.05) of pregnancy and childbirth complications among the participants with elevated pregestational BMI. Levels of total cholesterol, HDL-cholesterol (p < 0.05) and LDL-cholesterol (p < 0.01) were significantly lower, and concentrations of triglycerides were higher (p < 0.05) in women with increased pre-gestational BMI. Lower concentrations of the cholesterol synthesis marker, desmosterol, in the 2nd trimester (p < 0.01) and the cholesterol absorption marker, campesterol, in each trimester (p < 0.01, p < 0.05, p < 0.01, respectively) were also found in this group. Markers of maternal cholesterol synthesis were in positive correlation with neonatal APGAR scores in the group of mothers with healthy pre-pregnancy weight but in negative correlation in the overweight/obese group. Our results indicate that gestational adaptations of maternal lipidome depend on her pregestational nutritional status and that such changes may affect neonatal outcomes.

The risk of small and large for gestational age newborns in women with gestational diabetes according to pre-gestational body mass index and weight gain.

AIM: To explore the effects of pregestational body mass index (BMI) and gestational weight gain (GWG) on maternal and neonatal outcomes of women with gestational diabetes mellitus (GDM). METHODS: We conducted retrospective cohort analyses of outcomes among women with GDM who delivered at Shamir Medical Center, Israel (2017-2018). RESULTS: We included 673 women with GDM in our analysis, 217 (32.24%) with appropriate GWG (aGWG), 247 (36.7%) with excessive GWG (eGWG), and 209 (31%) with insufficient GWG (iGWG). Cesarean section (CS) was less prevalent among women with iGWG (19.6%), compared with women with eGWG (31.2%) and aGWG (31.1%) (p = .008). Small for gestational weight (SGA) newborns were more prevalent in women with iGWG 9.1%, compared with 2% and 0.9% for women with eGWG and aGWG, respectively (p<.001). Large for gestational age (LGA) newborns were significantly more prevalent in women with eGWG 17.4% compared with 4.8% and 9.7% in patients with iGWG and aGWG women, respectively (p<.001). SGA and LGA newborns were more prevalent in women with iGWG and e-GWG across all pre-gestational BMI groups >18.5 kg/m2. CONCLUSIONS: A complex interplay exists between pregestational weight, GWG, and GDM and pregnancy outcomes, specifically SGA and LGA newborns. A strict follow-up considering the pregestational BMI, GWG, blood glucose levels, treatment modality, and fetal abdominal circumference could assist in managing the complex interplay of patients with GDM for better neonatal outcomes.

Predictors of patterns of weight change 1 year after delivery in a cohort of Mexican women.

OBJECTIVE: To evaluate the associations of pregestational BMI, gestational weight gain (GWG) and breast-feeding at 1 month postpartum with four patterns of weight change during the first year after delivery: postpartum weight retention (PPWR), postpartum weight gain (PPWG), postpartum weight retention + gain (PPWR + WG) and return to pregestational weight. DESIGN: In this secondary analysis of a prospective study, we categorised postpartum weight change into four patterns using pregestational weight and weights at 1, 6 and 12 months postpartum. We evaluated their associations with pregestational BMI, GWG and breast-feeding using multinomial logistic regression. Results are presented as relative risk ratios (RRR) and 95 % CI. SETTING: Mexico City. PARTICIPANTS: Women participating in the Programming Research in Obesity, Growth, Environment and Social Stressors pregnancy cohort. RESULTS: Five hundred women were included (53 % of the cohort). Most women returned to their pregestational weight by 1 year postpartum (57 %); 8 % experienced PPWR, 14 % PPWG and 21 % PPWR + WG. Compared with normal weight, pregestational overweight (RRR 2·5, 95 % CI 1·3, 4·8) and obesity (RRR 2·2, 95 % CI 1·0, 4·7) were associated with a higher risk of PPWG. Exclusive breast-feeding, compared with no breast-feeding, was associated with a lower risk of PPWR (RRR 0·3, 95 % CI 0·1, 0·9). Excessive GWG, compared with adequate, was associated with a higher risk of PPWR (RRR 3·3, 95 % CI 1·6, 6·9) and PPWR + WG (RRR 2·4, 95 % CI 1·4, 4·2). CONCLUSIONS: Targeting women with pregestational overweight or obesity and excessive GWG, as well as promoting breast-feeding, may impact the pattern of weight change after delivery and long-term women's health.

Body mass index associated to rs2021966 ENPP1 polymorphism increases the risk for gestational diabetes mellitus.

Gestational diabetes mellitus (GDM) is a condition of impaired glucose tolerance occurring in 1-14% of all pregnancies. This wide range reflects pathological involvement of single nucleotide polymorphisms (SNPs) and maternal weight as risk factors. This study evaluated the association of genetic component and maternal factors to identify women with higher risk of developing GDM. About 240 pregnant women characterized by negative Oral Glucose Tolerance Test (-OGTT) and 38 with positive OGGT (+OGTT) were enrolled. SNPs for ENPP1, NRF1, VEGFA, CEBPA, and PIK3R1 were analyzed by SNP genotyping. An association study was performed and differences in genotype and allele frequencies between cases and controls were analyzed by χ(2) test. +OGTT was associated to high values of pre-gestational body mass index (BMI) and age. SNP for ENPP1 gene was associated to +OGTT, while genetic variants for other genes did not correlate to GDM. ENPP1 homozygous for A allele and heterozygous showed altered frequencies in +OGTT when compared with -OGTT. Association of both pre-gestational BMI and age with AA homozygous genotype increased significantly the risk to +OGTT. Our results demonstrate that correlation of age and pre-gestational BMI with homozygous for A allele increased significantly the risk of impaired glucose tolerance and GDM.