Maternal Lipid Profile Research Articles

Studies of Lipid Profiles Among Infants with Respiratory Distress Syndrome

Background: Respiratory distress syndrome (RDS) is known as hyaline membrane disease (HMD). It is the major cause of neonatal respiratory distress, especially in preterm infants Infants with RDS present with tachapnea, cyanosis, grunting, subcostal and intercostal retractions and nasal flaring. Oliguria with mild generalized edema may be present. Oxygen requirement may increase rapidly and is typically higher than that seen in infant with transient tachapnea of the newborn (TTN). Objective: to evaluate the relationship between the maternal and cord blood lipid profiles in preterm babies with respiratory distress syndrome. Methods: This is a case control study which was conducted on 50 preterm neonates admitted to the neonatal intensive care unit of Shebin El-Kom teaching hospital between January 2020 and October 2021. Results: the mean of total cholesterol was significantly higher in infants whose mothers had received antenatal steroid for lung maturity than those whose mothers had not (P<0.05). But there was no significant difference in the mean of levels of TG, HDL-cholesterol, LDL-cholesterol and VLDL cholesterol between both groups. Also, There is a positive correlation between weight gain during pregnancy and neonatal cord blood levels of (Total cholesterol, TG, HDL-C, LDL-C and VLDL-C), There is a positive correlation between maternal blood levels of (total cholesterol, TG, LDL-C and VLDL-C) and their neonatal cord blood levels of (total cholesterol, TG, HDL-C, LDL-C and VLDL-C), There is a positive correlation between the maternal blood level of HDL-C and their neonatal cord blood levels of (total cholesterol and HDL-C).also, the cutoff values of cord blood (total Cholesterol, HDL-C, and LDL-C) below which RDS can be predicted are 80, 45.5 and 23.2 mg/dl respectively with a sensitivity of 83.3%, 86.7% and86.7% and with specificity of 95%, 80% and 70% respectively. Conclusion: RDS is accompanied with lipid alteration in the infants and their mothers. The results of this study point to the importance of measuring maternal serum and cord blood lipid profile as a predictor for the occurrence of RDS.

Unveiling Macrosomia Risks of Non-Diabetic Women: Insights from Second Trimester Maternal Lipid Profiles.

Macrosomia, characterized by excessive fetal growth, is common in infants born to women with pre-gestational diabetes and gestational diabetes mellitus (GDM). However, macrosomia, which leads to birth-related maternal and fetal complications and metabolic complications in the adolescence of the affected fetuses, also occurs in the pregnancies of non-diabetic women. This study aims to identify the association between second-trimester lipid profiles and macrosomia in non-diabetic pregnant women to aid in early diagnosis. This retrospective cohort study included 8,956 patients who delivered at a tertiary care center between 2017 and 2019. Exclusion criteria encompassed pre-existing diabetes, GDM, preeclampsia (PE), intrahepatic cholestasis of pregnancy, obesity, fetal chromosomal or genetic abnormalities, tobacco, alcohol, or drug use affecting lipid metabolism. Participants were divided into two groups: 621 with macrosomia and 873 controls. Second trimester maternal lipid profiles and demographic variables such as age, pregnancy week, and gender were assessed. In the study cohort, maternal age (P=0.002), gestational week (P=0.003), and cesarean section rate (P<0.001) were higher in the macrosomic group. High-density lipoprotein-cholesterol (HDL-C) was significantly lower, while total cholesterol (TC), triglycerides (TG), and low-density lipoprotein-cholesterol (LDL-C) were significantly higher in the macrosomic group (P<0.001). Univariate analysis revealed positive associations between second-trimester TG (OR 1.023, 95% CI: 1.020‒1.033, P<0.001), TC (OR 1.023, 95% CI: 1.016‒1.030, P<0.001) and LDL-C (OR 1.036, 95% CI: 1.018-1.054, P<0.001) with macrosomia and a negative association with HDL-C (OR 0.954, 95% CI: 0.923‒0.976, P<0.001). However, after adjusted multivariable logistic analysis, only TG remained statistically significantly associated with macrosomia (OR 1.054, 95% CI: 1.033‒1.076, P<0.001). Our study emphasizes the importance of early recognition and prevention of macrosomia. Structured prospective studies are needed to enhance macrosomia prediction and implement preventive measures, such as dietary modifications. These strategies will be crucial in preventing birth-related complications and long-term health risks, including diabetes, obesity, and cardiovascular diseases, associated with macrosomia.

Dietary Regulation of Lipid Metabolism in Gestational Diabetes Mellitus: Implications for Fetal Macrosomia.

The primary therapeutic approach for managing hyperglycemia today is diet therapy. Lipids are not only a source of nutrients but also play a role in initiating adipocyte differentiation in the fetus, which may explain the development of fetal macrosomia and future metabolic disorders in children born to mothers with gestational diabetes mellitus (GDM). Alterations in the maternal blood lipid profile, influenced by adherence to a healthy diet in mothers with GDM and the occurrence of fetal macrosomia, represent a complex and not fully understood process. The aim of this study was to examine the characteristics of the blood plasma lipid profile in pregnant women with GDM across all trimesters based on adherence to diet therapy. The clinical part of the study followed a case-control design, including 110 women: 80 in the control group, 20 in a GDM group adhering to the diet, and 10 in a GDM group not adhering to the diet. The laboratory part was conducted as a longitudinal dynamic study, with venous blood samples collected at three time points: 11-13, 24-26, and 30-32 weeks of pregnancy. A significant impact of diet therapy on the composition of blood lipids throughout pregnancy was demonstrated, starting as early as the first trimester. ROC analysis indicated high effectiveness of the models developed, with an AUC of 0.98 for the 30- to 32-week model and sensitivity and specificity values of 1 and 0.9, respectively. An association was found between dietary habits, maternal blood lipid composition at 32 weeks, and newborn weight. The changes in lipid profiles during macrosomia development and under diet therapy were found to be diametrically opposed, confirming at the molecular level that diet therapy can normalize not only carbohydrate metabolism but also lipid metabolism in both the mother and fetus. Based on the data obtained, it is suggested that after further validation, the developed models could be used to improve the prognosis of macrosomia by analyzing blood plasma lipid profiles at various stages of pregnancy.

Association between maternal lipid profiles and lipid ratios in early to middle pregnancy as well as their dynamic changes and gestational diabetes mellitus

BackgroundUnfavourable lipid and glucose levels may play a crucial role in the pathogenesis of gestational diabetes mellitus (GDM). However, there is a lack of prospective studies on the relationship between lipid profiles, lipid ratios and GDM during pregnancy.AimsTo prospectively investigate the relationship between lipid profile and lipid ratios in early and mid-pregnancy and their pattern of change from early to mid-pregnancy and the risk of GDM.MethodsThis nested case-control study was based on maternal and child healthcare hospitals from Fujian Province, China. We included pregnant women who delivered in the hospital from January 2021 to June 2023. Lipid profiles (TC, TG, ApoA1, ApoB, HDL-c, LDL-c) and fasting glucose were measured before 14 weeks of gestation and between 20 and 28 weeks of gestation, and lipid ratios (triglyceride glucose index, TG/HDL-c and TC/HDL-c) was constructed. Logistic regression was used to assess the relationship between lipid profile, lipid ratios and GDM.ResultsOf 1586 pregnant women, 741 were diagnosed with GDM. After adjusting for potential confounders, TG, ApoA1, ApoB, LDL-c, triglyceride glucose index, TG/HDL-c, and TC/HDL-c in early pregnancy were positively associated with the risk of GDM (odds ratios [95% CI] for extreme interquartile comparisons were 2.040 (1.468–2.843), 1.506 (1.091–2.082), 1.529 (1.110–2.107), 1.504 (1.086–2.086), 1.952 (1.398–2.731), 2.127 (1.526–2.971), and 2.370 (1.700-3.312), all trend P < 0.05). HDL-c was negatively associated with the risk of GDM (0.639: 0.459–0.889, trend P all less than 0.05). Similarly, in mid-pregnancy, lower levels of HDL-c, higher levels of triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio were associated with increased risk of GDM (all trends P < 0.05). Stably high levels (both ≥ median for early and mid-pregnancy) of triglyceride glucose index, TG/HDL-c and TC/HDL-c were associated with increased risk of GDM (OR [95% CI]: 2.369 (1.438–3.940), 1.588 (1.077–2.341), 1.921 (1.309–2.829), respectively). The opposite was true for HDL-c, where stable high levels were negatively associated with GDM risk (OR [95% CI]: 0.599 (0.405–0.883)).ConclusionIncreases in triglyceride glucose index, TG/HDL-c ratio, and TC/HDL-c ratio in early and mid-pregnancy, as well as their stable high levels from early to mid-pregnancy, are associated with a higher risk of GDM. In contrast, increased levels of HDL-c, both in early and mid-pregnancy, and their stable high levels from early to mid-pregnancy were associated with a lower risk of GDM. That highlighted their possible clinical relevance in identifying those at high risk of GDM.

Association between maternal lipid profiles and vitamin D status in second trimester and risk of LGA or SGA: a retrospective study.

Accumulating evidence has linked dyslipidemia during pregnancy to the risk of delivering infants born either large for gestational age (LGA) or small for gestational age (SGA). However, the effects of the vitamin D status on these relationships require further investigation. This study investigated whether the relationship between lipid profiles and the risk of LGA or SGA was influenced by vitamin D levels during the second trimester. Maternal lipid profile levels, including total cholesterol (TC), triglyceride (TG), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and vitamin D levels, were measured in a cohort of 6,499 pregnant women during the second trimester. Multivariate regression models and subgroup analyses were employed to evaluate the potential associations between maternal lipid profiles, vitamin D levels, and the risk of LGA or SGA. The prevalence of SGA infants was 9.8% (n=635), whereas that of LGA infants was 6.9% (n=447). Maternal TG levels were found to be positively associated with the risk of LGA (odds ratio [OR] = 1.41, 95% confidence interval [CI]:1.17-1.70), whereas a negative association was observed between maternal TG, TC, LDL-C levels, and risk of SGA. Additionally, mothers with higher HDL-C levels were less likely to give birth to an LGA infant (OR=0.58, 95% CI:0.39-0.85). Importantly, associations between TG, TC, LDL-c, and SGA as well as between TG and LGA were primarily observed among pregnant women with insufficient vitamin D levels. As for HDL-C, the risk of LGA was lower in mothers with sufficient vitamin D (OR = 0.42, 95% CI:0.18-0.98) compared to those with insufficient vitamin D (OR = 0.65, 95% CI:0.42-0.99). Vitamin D status during the second trimester exerts a modifying effect on the association between lipid profiles and the risk of LGA and SGA infants.

Maternal Hypertriglyceridemia in Gestational Diabetes: A New Risk Factor?

Elevated maternal triglycerides (TGs) have been associated with excessive fetal growth. However, the role of maternal lipid profile is less studied in gestational diabetes mellitus (GDM). We aimed to study the association between maternal lipid profile in the third trimester and the risk for large-for-gestational-age (LGA) newborns in women with GDM. We performed an observational and retrospective study of pregnant women with GDM who underwent a lipid profile measurement during the third trimester. We applied a logistic regression model to assess predictors of LGA. A total of 100 singleton pregnant women with GDM and third-trimester lipid profile evaluation were included. In the multivariate analysis, pre-pregnancy BMI (OR 1.19 (95% CI 1.03-1.38), p = 0.022) and hypertriglyceridemia (OR 7.60 (1.70-34.10), p = 0.008) were independently associated with LGA. Third-trimester hypertriglyceridemia was found to be a predictor of LGA among women with GDM, independently of glycemic control, BMI, and pregnancy weight gain. Further investigation is needed to confirm the role of TGs in excessive fetal growth in GDM pregnancies.

An Analysis on Link of Maternal Lipid Profile and Gestational Diabetes Mellitus: A Case Control Study of 120 Women

BACKGROUND: Gestational diabetes mellitus GDM is a clinical condition, or disease, wherein, a marked reduction in the sensitivity of insulin, during pregnancy, is attributed to the metabolic disturbance that occurs widespread. Although, information on the association among dyslipidaemia and GDM remains uncertain till date. The main objective of the present investigation is to detect any correlation between lipid profile of GDM subjects and healthy control women,using biochemical indicators. METHODS: A careful clinical case study was performed, involving a total of 120 subjects, comprising two distinct groups. Group I includes 60 pregnant women, those were recently detected as GDM cases. Group ll covers healthy control subjects collected from Open Patients unit and Registry of Diabetic Unit of Dhanalakshmi Srinivasan Institute Medical science and Hospital, Perambalur, Tamil Nadu. Both groups' subjects were bifurcated, based on their age groups, and found to be 25 to 45 years. Estimation of glycemic condition, in prior and post fasting was performed, using an analyzer appropriately. Similarly, maternal lipid profile for both groups was also determined. Moreover, HbAl c, an important biochemical indicator was also detected for both groups of subjects with respect to their age, using HPLC technique. Received data were pooled and a statistical analysis was performed, using Student t test to identify the significance difference or association between GDM group and healthy subjects, in specific, on the maternal lipid profile. FINDING: Analysis showed that there is a significant difference observed in the maternal lipid profile of GDM group, when compared with healthy subjects. The P value of Very Low Lipid protein VLDL, low density lipoprotein LDL, High density lipoprotein HDL was found to be 0.01, 0.028, and 0.038 respectively. Whereas, p value for HbAl c was recorded as 0.02, and found significant difference at 0.01 percent level. Interestingly, no difference was observed in the limit of FG, and Triglycerides limit, and were reported as p _0.28, and p- 0.316 respectively. A marked difference was also detected among the 30 to 35 yrs age group. INTERPRETATION: Present investigation elucidated that there is a strong correlation between GDM subjects and dyslipidemia. Further, this study strengthened and promised that elevated maternal lipid profile is highly linked with GDM condition.

Triglyceride-glucose index: A promising biomarker for predicting risks of adverse pregnancy outcomes in Hangzhou, China

IntroductionThe triglyceride-glucose (TyG) index has been recommended as an alternative indicator of insulin resistance (IR). However, the association between the TyG index and adverse pregnancy outcomes remains to be elucidated. MethodsThe present retrospective study was conducted at Women's Hospital, Zhejiang University School of Medicine and involved a total of 8,514 participants. Maternal fasting lipid profiles and glucose concentrations were measured. Based on the TyG index, the participants were categorized into quartiles. Logistic regression analysis was used to calculate odds ratios (ORs) for each quartile with reference to the first quartile, while receiver operating characteristic (ROC) curve analysis, Hosmer–Lemeshow test, and calibration curve analysis were employed to evaluate the predictive ability of the TyG index for adverse pregnancy outcomes. ResultsThe TyG index was higher in patients with preeclampsia, preterm birth, and macrosomia. On univariate analysis, there was an increased risk of developing adverse pregnancy outcomes with increasing quartiles of the TyG. After adjusting for potential confounders in multivariable logistic regression analysis, a positive independent correlation was found between the TyG index and preeclampsia, preterm birth, and macrosomia. In ROC curve analysis for predicting the risks of preeclampsia, preterm birth, and macrosomia, the area under the curve (AUC) could reach 0.665, 0.588, and 0.606, respectively. These predictive models demonstrated good calibration (all P > 0.05). ConclusionsThe TyG index showed a good predictive capacity for assessing the risk of adverse pregnancy outcomes, and it should receive sufficient clinical attention.

Association between lipid profile in early pregnancy and the risk of congenital heart disease in offspring: a prospective cohort study

This study aimed to investigate the association of lipid profile in early pregnancy and the risk of congenital heart disease (CHD) in offspring. This study was a prospective cohort design based on the Fujian Birth Cohort Study in China. We recruited pregnant women at ≤ 14 weeks of gestation between 2019 and 2022, and all participants in this study filled out the questionnaire about periconceptional exposure. Simultaneously, we collected participants’ fasting blood samples to measure their lipid profile by automatic biochemical analyzer. The outcome was defined as offspring with CHD. A multivariable logistic regression model was used to calculate adjusted odds ratio (AOR) risk estimates, which indicate the associations between maternal lipid profiles and CHD in offspring. Restricted cubic splines were used to estimate their nonlinear relationship. A total of 21,425 pregnant women with an average gestational age of 11.3 (± 1.40) weeks were included in the analysis. The higher triglyceride (AOR 1.201, 95% CI [1.036, 1.394]), low-density lipoprotein (AOR 1.216, 95% CI [1.048, 1.410]), apolipoprotein B (Apo B) (AOR 2.107, 95% CI [1.179, 3.763]) levels were correlated with increased odds of CHD in offspring, while high-density lipoprotein (OR 0.672, 95% CI [0.490, 0.920]) related with decreased odds of CHD in offspring. The restricted cubic spline suggested a nonlinear relationship between total cholesterol (TC) levels and the risk of CHD in offspring (P = 0.0048), but no significant nonlinear relationships were found in other lipid profile. Apolipoprotein A was not related to the risk of CHD in offspring as either a continuous variable or a hierarchical variable. Elevated lipid profile in early pregnancy levels are associated with an increased risk of CHD in offspring. Additionally, there is a non-linear relationship between TC levels and the risk of CHD in offspring.

Maternal Neudesin Levels in Pregnant Women with Gestational Diabetes Mellitus.

Our aim was to investigate the changes in neudesin levels in pregnant women with GDM and the relationship between neudesin and metabolic parameters. Forty pregnant women diagnosed with GDM and forty age- and gestational week-matched control subjects were included in the study. Demographic data were obtained from records. Maternal lipid profiles, glucose levels, fasting insulin, HbA1C, and HOMA-IR results were compared between the groups. Correlation tests were performed to evaluate the relationship between neudesin and clinical and laboratory diagnostic parameters. p < 0.05 were interpreted as statistically significant. The human serum neudesin levels were significantly lower in the GDM group compared with the controls. The correlation tests showed statistically negative and weak correlations between the neudesin levels and the maternal age, 50 g OGCT, 100 g OGTT 3 hours, and HbA1C. The optimum neudesin cutoff value for a diagnosis of GDM disease is 6.94 ng/dL, with a sensitivity of 65.9% and a specificity of 63.2%. This study has shown that lower neudesin levels may occur as a reflection of changes in glucose metabolism during intrauterine life.

Integrative network analysis of differentially methylated regions to study the impact of gestational weight gain on maternal metabolism and fetal-neonatal growth.

Integrative network analysis (INA) is important for identifying gene modules or epigenetically regulated molecular pathways in diseases. This study evaluated the effect of excessive gestational weight gain (EGWG) on INA of differentially methylated regions, maternal metabolism and offspring growth. Brazilian women from "The Araraquara Cohort Study" with adequate pre-pregnancy body mass index were divided into EGWG (n=30) versus adequate gestational weight gain (AGWG, n=45) groups. The methylome analysis was performed on maternal blood using the Illumina MethylationEPIC BeadChip. Fetal-neonatal growth was assessed by ultrasound and anthropometry, respectively. Maternal lipid and glycemic profiles were investigated. Maternal triglycerides-TG (p=0.030) and total cholesterol (p=0.014); fetus occipito-frontal diameter (p=0.005); neonate head circumference-HC (p=0.016) and thoracic perimeter (p=0.020) were greater in the EGWG compared to the AGWG group. Multiple linear regression analysis showed that maternal DNA methylation was associated with maternal TG and fasting insulin, fetal abdominal circumference, and fetal and neonate HC. The DMRs studied were enriched in 142 biological processes, 21 molecular functions,and 17 cellular components with terms directed for the fatty acids metabolism. Three DMGMs were identified:COL3A1, ITGA4 and KLRK1. INA targeted chronic diseases and maternal metabolism contributing to an epigenetic understanding of the involvement of GWG in maternal metabolism and fetal-neonatal growth.

The Effect of Vitamin D Supplementation in Pregnant Women with Overweight and Obesity: A Randomised Controlled Trial.

The impact of vitamin D supplementation on 25-hydroxyvitamin D (25OHD) levels, metabolic status, and pregnancy outcomes in pregnant women with overweight and obesity (OW/OB) is uncertain. This study aimed to examine whether administrating 800 IU of vitamin D3 orally would improve maternal serum 25OHD levels, lipid profile, and pregnancy outcomes compared to 400 IU. This was a two-arm, parallel, non-blinded randomised controlled trial involving 274 pregnant women recruited from KK Women's and Children's Hospital, with a body mass index of ≥25 kg/m2 within 16 weeks gestation. The participants were randomly assigned to receive 800 IU/day (intervention group) or 400 IU/day (control group) of oral vitamin D3 supplements. The primary outcomes were maternal serum 25OHD and lipid levels at 24-28 weeks gestation. The secondary outcomes included maternal and birth outcomes. Compared with controls (n = 119), the intervention group (n = 112) exhibited higher 25OHD levels at 24-28 weeks gestation (adjusted mean difference 6.52 nmol/L; 95% confidence interval 2.74, 10.31). More women in the intervention group achieved sufficient 25OHD levels (77.7% vs. 55.5%; p < 0.001). No differences were observed in lipid profiles or maternal or birth outcomes between the groups. An additional 400 IU of oral vitamin D3 supplementation increased serum 25OHD levels but did not impact lipid profiles or pregnancy outcomes.

ABHD5-CPT1B: An Important Way of Regulating Placental Lipid Metabolism in Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is one of the most common metabolic disorders in pregnancy, and a novel association of maternal lipid profile has been suggested to play an important role. However, the molecular mechanism is not clear. Bio-analyzed combined with placental metabonomics and single-cell RNA-sequencing (scRNA-seq) successfully identified a potentially important molecule: α-β hydrolase domain-containing protein 5 (ABHD5). The syncytiotrophoblast (SCT) cell model was adopted as a fusion of BeWo cells in response to forskolin. On this basis, the high glucose-stimulated cell experiment was carried out. 15 women with GDM and 15 normal pregnant women were recruited for validation experiments. ABHD5 was mainly expressed in the trophoblast cells, especially in SCT cells, and significantly decreased in the GDM placenta. After stimulation by high glucose, the expression of ABHD5 was downregulated in a time-dependent manner in BeWo cells treated with forskolin. At the same time, lipid droplets (LDs) were increased in the SCT. LD storage was also increased in the SCT with siABHD5, while it was significantly reduced in SCT cells with high ABHD5 expression. However, this effect could be attenuated by downregulated carnitine palmitoyltransferase 1B (CPT1B). ABHD5-CPT1B is confirmed as an important regulator of placental lipid metabolism.

Association between maternal blood lipids during pregnancy and offspring growth trajectories in a predominantly macrosomic cohort: findings from the ROLO longitudinal birth cohort study.

The purpose of this study is to examine associations between maternal lipid profiles in pregnancy and offspring growth trajectories in a largely macrosomic cohort. This is a secondary analysis of the ROLO birth cohort (n = 293), which took place in the National Maternity Hospital, Dublin, Ireland. Infants were mostly macrosomic, with 55% having a birthweight > 4kg. Maternal mean age was 32.4years (SD 3.9years), mean BMI was 26.1kg/m2 (SD 4.4kg/m2) and 48% of children born were males. Total cholesterol, high density lipoprotein cholesterol (HDL-cholesterol), low density lipoprotein cholesterol (LDL-cholesterol) and triglycerides were measured from fasting blood samples of mothers at 14 and 28week gestation. The change in maternal lipid levels from early to late pregnancy was also examined. Offspring abdominal circumference and weight were measured at 20- and 34-week gestation, birth, 6months, 2years and 5years postnatal. Linear spline multilevel models examined associations between maternal blood lipid profiles and offspring growth. We found some weak, significant associations between maternal blood lipids and trajectories of offspring growth. Significant findings were close to the null, providing limited evidence. For instance, 1mmol/L increase in maternal triglycerides was associated with faster infant weight growth from 20- to 34-week gestation (0.01kg/week, 95% CI - 0.02, - 0.001) and slower abdominal circumference from 2 to 5years (0.01cm/week, 95% CI - 0.02, - 0.001). These findings do not provide evidence of a clinically meaningful effect. Conclusion: These findings raise questions about the efficacy of interventions targeting maternal blood lipid profiles in pregnancies at risk of macrosomia. New studies on this topic are needed. What is Known: • Maternal fat accumulation during early pregnancy may potentially support fetal growth in the third trimester by providing a reserve of lipids that are broken down and transferred to the infant across the placental barrier. • There are limited studies exploring the impact of maternal lipid profiles on infant and child health using growth trajectories spanning prenatal to postnatal life. What is New: • Maternal blood lipid profiles were not associated with offspring growth trajectories of weight and abdominal circumference during pregnancy up to 5years of age in a largely macrosomic cohort, as significant findings were close to the null, providing limited evidence for a clinically meaningful relationship. • Strengths of this work include the use of infant growth trajectories that span prenatal to postnatal life and inclusion of analyses of the change of maternal lipid levels from early to late pregnancy and their associations with offspring growth trajectories from 20-week gestation to 5years of age.

OP-08 The effect of maternal metabolic factors and lipid profile on birth weight in pregnants with gestational diabetes and normal glucose tolerance

OP-08 The effect of maternal metabolic factors and lipid profile on birth weight in pregnants with gestational diabetes and normal glucose tolerance

Maternal inflammatory, lipid and metabolic markers and associations with birth and breastfeeding outcomes.

Conditions in utero influence intrauterine and postnatal infant growth and a few studies indicate that maternal inflammation and insulin resistance might affect birth and breastfeeding outcomes. Furthermore, hormones in human milk (HM) may influence infant appetite-regulation and thereby milk intake, but the associations are less understood. (1) To investigate associations between maternal inflammatory, lipid and metabolic markers and birth and breastfeeding outcomes, and (2) to assess predictors of maternal inflammatory, lipid and metabolic markers in pregnancy. Seventy-one mother-infant dyads participating in the Mothers, Infants and Lactation Quality (MILQ) study were included in the present study. Fasting blood samples were collected around 28th gestational week, and HM samples at three time points from 1.0 to 8.5 months, where milk intake was assessed using 24-h test weighing. Maternal plasma inflammatory, lipid and metabolic markers included high-sensitive C-reactive protein (hs-CRP), tumor-necrosis factor-α (TNFα), interferon-γ (IFNγ), Interleukin (IL)-6, IL-8, high-, low-, and very-low-density lipoprotein (HDL, LDL, VLDL), total-cholesterol, triglycerides, leptin, adiponectin, insulin, C-peptide, the homeostasis model assessment of insulin resistance (HOMA-IR) and glucose concentration at t = 120 min following an oral glucose tolerance test. Of these, TNFα, IFNγ, IL-6, IL-8, leptin, adiponectin and insulin were also measured in HM samples. HDL in pregnancy was inversely associated with gestational age (GA) at birth and GA-adjusted birthweight z-score, whereas triglycerides and glucose (t = 120) were positively associated with GA-adjusted birthweight z-score. Higher hs-CRP, VLDL and triglycerides were associated with a higher placental weight. Furthermore, higher HDL, insulin, leptin and HOMA-IR were associated with longer duration of exclusive breastfeeding (EBF). Higher pre-pregnancy BMI was the main predictor of higher levels of hs-CRP, log-TNFα, leptin, insulin, C-peptide, and HOMA-IR. Maternal lipid and metabolic markers influenced birthweight z-score and placental weight as well as duration of EBF. Furthermore, pre-pregnancy BMI and maternal age predicted levels of several inflammatory and metabolic markers during pregnancy. Our findings indicate that maternal lipid and metabolic profiles in pregnancy may influence fetal growth and breastfeeding, possibly explained by overweight and/or higher placental weight. https://clinicaltrials.gov/, identifier NCT03254329.

Association between second- and third-trimester maternal lipid profiles and adverse perinatal outcomes among women with GDM and non-GDM: a retrospective cohort study

BackgroundLipid metabolism disorder during pregnancy has been reported in women with gestational diabetes mellitus (GDM). However, controversy remains regarding the relationship between maternal changes in lipid profiles and perinatal outcomes. This study investigated the association between maternal lipid levels and adverse perinatal outcomes in women with GDM and non-GDM.MethodsIn total, 1632 pregnant women with GDM and 9067 women with non-GDM who delivered between 2011–2021 were enrolled in this study. Serum samples were assayed for fasting total cholesterol (TC), triglyceride (TG), low-density lipoprotein (LDL), and high-density lipoprotein (HDL) levels during the second and third trimesters of pregnancy. Adjusted odds ratios (AOR) and 95% confidence intervals (95% CI) were calculated via multivariable logistic regression analysis to determine the association of lipid levels with perinatal outcomes.ResultsThe serum TC, TG, LDL, and HDL levels in the third trimester were significantly higher than those in the second trimester (p < 0.001). Women with GDM had significantly higher levels of TC and TG in the second and third trimesters than those with non-GDM in the same trimesters, while HDL levels decreased in women with GDM (all p < 0.001). After adjusting for confounding factors by multivariate logistic regression, every mmol/L elevation in TG levels of women with GDM in second and third trimesters was associated with a higher risk of caesarean section (AOR = 1.241, 95% CI: 1.103–1.396, p < 0.001; AOR = 1.716, 95% CI: 1.556–1.921, p < 0.001), large for gestational age infants (LGA) (AOR = 1.419, 95% CI: 1.173–2.453, p = 0.001; AOR = 2.011, 95% CI: 1.673–2.735, p < 0.001), macrosomia (AOR = 1.220, 95% CI: 1.133–1.643, p = 0.005; AOR = 1.891, 95% CI: 1.322–2.519, p < 0.001), and neonatal unit admission (NUD; AOR = 1.781, 95% CI: 1.267–2.143, p < 0.001; AOR = 2.052, 95% CI: 1.811–2.432, p < 0.001) cesarean delivery (AOR = 1.423, 95% CI: 1.215–1.679, p < 0.001; AOR = 1.834, 95% CI: 1.453–2.019, p < 0.001), LGA (AOR = 1.593, 95% CI: 1.235–2.518, p = 0.004; AOR = 2.326, 95% CI: 1.728–2.914, p < 0.001), macrosomia (AOR = 1.346, 95% CI: 1.209–1.735, p = 0.006; AOR = 2.032, 95% CI: 1.503–2.627, p < 0.001), and neonatal unit admission (NUD) (AOR = 1.936, 95% CI: 1.453–2.546, p < 0.001; AOR = 1.993, 95% CI: 1.724–2.517, p < 0.001), which were higher than the relative risk of these perinatal outcomes in women with non-GDM. Additionally, every mmol/L increase in second and third-trimester HDL levels of women with GDM was associated with decreased risk of LGA(AOR = 0.421, 95% CI: 0.353–0.712, p = 0.007; AOR = 0.525, 95% CI: 0.319–0.832, p = 0.017) and NUD (AOR = 0.532, 95% CI: 0.327–0.773, p = 0.011; AOR = 0.319, 95% CI: 0.193–0.508, p < 0.001), and the risk reduction was not strong than that of women with GDM.ConclusionsAmong women with GDM, high maternal TG in the second and third trimesters was independently associated with an increased risk of cesarean section, LGA, macrosomia, and NUD. High maternal HDL during the second and third trimesters was significantly associated with decreased risk of LGA and NUD. These associations were stronger than those in women with non-GDM, suggesting the importance of monitoring second and third-trimester lipid profiles in improving clinical outcomes, especially in GDM pregnancies.

The effect of maternal obesity and lipid profile on first-trimester serum progesterone levels

Prepregnancy overweight increases the risk of adverse perinatal outcomes. Maternal lipid profile plays a key role in the production of pregnancy hormones. The influence that obesity has on the specific mechanisms that may be involved and the potential associations with abnormal conditions in pregnancy are still poorly understood. This study aimed to evaluate the effect of maternal body mass index and lipid profile on first-trimester serum progesterone levels. This was a prospective cohort study including 734 pregnant people. First-trimester maternal serum progesterone, cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, and triglycerides were measured between 9 and 11 weeks' gestation. Free β-hCG, PAPP-A, age, body mass index, smoking status, gestational age at delivery, fetal sex, and birthweight were also recorded. Pregnant people were classified according to their body mass index into underweight (n=21), normal weight (n=395), overweight (n=221), obesity class I (n=64), and obesity class II/III (n=33) groups. Gestational age at sampling was 10.0 4±1.12 weeks. Serum progesterone levels decreased as maternal body mass index increased (35.84±12.00 ng/mL, 33.08±11.27 ng/mL, 28.04±8.91 ng/mL, 24.37±8.56 ng/mL, and 19.87±11.00 mL for underweight, normal weight, overweight, obesity class I, and obesity class II/III groups, respectively; P<.000001). There were statistically significant negative correlations between maternal progesterone and body mass index, triglycerides, and cholesterol/high-density lipoprotein cholesterol ratio, and positive correlations with gestational age at sampling, maternal age, cholesterol, high-density lipoprotein cholesterol, crown-rump length, free β-hCG, and PAPP-A. Linear regression showed that the only independent predictor variables for progesterone levels were body mass index (P<.0001), PAPP-A (P<.0001), high-density lipoprotein cholesterol (P<.0001), and free β-hCG (P<.0001) (R2=0.33; P<.0000001). First-trimester serum progesterone levels were lower in overweight pregnant people and markedly decreased in those with obesity, especially obesity class II/III. Maternal high-density lipoprotein cholesterol was independently related to progesterone levels as a protective factor. Benefits of progesterone supplementation in pregnant people with obesity need further evaluation.

The Association of the Inflammatory Index of the Maternal Diet with the Type of Delivery, Maternal Nutritional Status, and the Lipid Profile of Human Milk.

Objective: To evaluate the association of the dietary inflammatory index adjusted for energy (E-DII®) with the evolution of maternal body mass index and human milk lipid (HM) profile in the first 6 months postpartum. Methods: This is a cohort study with 260 Brazilian women (19-43 years old) in the postpartum period. Sociodemographic, gestational, and anthropometric data of the mother were obtained in the immediate postpartum period and in the six monthly meetings. A food frequency questionnaire was applied at baseline and used to calculate the E-DII score. Mature HM was collected, analyzed by gas chromatography coupled with mass spectrometry and the Rose Gottlib method. Generalized estimation equation models were built. Results: Women with >E-DII showed lower adherence to physical activity during pregnancy (p = 0.027), higher frequency of cesarean delivery (p = 0.024), and higher body mass index over time (p < 0.001). At the end of the 6th month, 35 women remained in the study. As for HM, 151 analyses were performed, detecting in the 3rd collection greater fat (%) among those with >E-DII (4.27 ± 1.98 vs. 3.75 ± 2.48; p = 0.003). Conclusion: Diets with >E-DII can impact the type of delivery, change the evolution of maternal nutritional status, and the stability of the lipid profile of HM.

Development and validation of risk prediction models for large for gestational age infants using logistic regression and two machine learning algorithms.

Large for gestational age (LGA) is one of the adverse outcomes during pregnancy that endangers the life and health of mothers and offspring. We aimed to establish prediction models for LGA at late pregnancy. Data were obtained from an established Chinese pregnant women cohort of 1285 pregnant women. LGA was diagnosed as >90th percentile of birth weight distribution of Chinese corresponding to gestational age of the same-sex newborns. Women with gestational diabetes mellitus (GDM) were classified into three subtypes according to the indexes of insulin sensitivity and insulin secretion. Models were established by logistic regression and decision tree/random forest algorithms, and validated by the data. A total of 139 newborns were diagnosed as LGA after birth. The area under the curve (AUC) for the training set is 0.760 (95% confidence interval [CI] 0.706-0.815), and 0.748 (95% CI 0.659-0.837) for the internal validation set of the logistic regression model, which consisted of eight commonly used clinical indicators (including lipid profile) and GDM subtypes. For the prediction models established by the two machine learning algorithms, which included all the variables, the training set and the internal validation set had AUCs of 0.813 (95% CI 0.786-0.839) and 0.779 (95% CI 0.735-0.824) for the decision tree model, and 0.854 (95% CI 0.831-0.877) and 0.808 (95% CI 0.766-0.850) for the random forest model. We established and validated three LGA risk prediction models to screen out the pregnant women with high risk of LGA at the early stage of the third trimester, which showed good prediction power and could guide early prevention strategies.