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

Influence of maternal lipid levels on adverse pregnancy outcomes in women with gestational diabetes mellitus

Objective

This study aimed to investigate the effect of mid-pregnancy lipid levels on adverse outcomes in women with gestational diabetes mellitus (GDM) under adequate glycemic control. Whether this effect is independent of factors such as blood glucose was also analyzed.

Methods

We retrospectively analyzed 1,001 women with normal glucose tolerance (NGT) and 1,078 women with GDM under adequate glycemic control from 2015 to 2024. Logistic regression analysis was used to explore the relationship between blood lipids and adverse outcomes. Those with GDM were further classified according to their pre-pregnancy body mass index (BMI), gestational weight gain, glycosylated hemoglobin A1c (HbA1c), and fasting blood glucose (FBG). An interaction model between triglyceride (TG) and pre-pregnancy BMI, gestational weight gain, HbA1c, and FBG on adverse outcomes was constructed.

Results

In GDM, high levels of TG were independent risk factors for preeclampsia (OR = 1.51, 95%CI = 1.18-1.93), preterm birth (OR = 1.68, 95%CI = 1.30-2.18), macrosomia (OR = 1.48, 95%CI = 1.14-1.92), postpartum hemorrhage (OR = 1.33, 95%CI = 1.10-1.61), and intrauterine fetal distress (OR = 1.68, 95%CI = 1.13-2.51). Furthermore, TG had a greater impact on GDM women than on NGT women. In addition, in GDM, high levels of TG were independent risk factors for the above adverse outcomes in the subgroups of pre-pregnancy BMI, gestational weight gain, HbA1c, and FBG (interaction p > 0.05).

Conclusions

High levels of TG promoted the occurrence of preeclampsia, preterm birth, macrosomia, postpartum hemorrhage, and intrauterine fetal distress in women with GDM. Furthermore, TG had a greater effect on adverse outcomes in GDM than in NGT women.

Sexual and reproductive health in overweight and obesity: Aims and visions for integrated research approaches

Overweight and obesity increasingly affect women in their reproductive phase, during family planning, pregnancy, breastfeeding and the postpartum period. Overweight and obesity are associated with impaired sexual and reproductive health, including increased rates of infertility, pregnancy complications, and reduced breastfeeding rates. Furthermore, maternal overweight and obesity are associated with long-term negative health consequences for the child, such as an increased risk for respiratory and metabolic disease. With the Junior Research Center for Reproduction: Sexual and Reproductive Health in Overweight and Obesity (SRHOO Center), we aim to address the effects of overweight and obesity on sexual and reproductive health in an interdisciplinary approach, combining the areas of obstetrics and midwifery, sexual health research, basic research in feto-maternal medicine and glycoimmunology, pediatrics, as well as endocrinology, metabolism and bariatric surgery. Combining these areas of expertise, we seek (1) to understand the effects of overweight and obesity on sexual and reproductive health in different patient groups, focusing on their specific needs in order to provide appropriate counselling and access to healthcare; (2) to improve reproductive health in different groups of overweight and obese patients; and (3) to create interdisciplinary, comprehensive scientific and clinical training regarding sexual and reproductive health in overweight and obese patients. In this short introduction to the SRHOO Center, we provide information on its structure, aims and individual projects as well as its presumed long-term implications for clinical care and public health.

Impact of maternal lipid profiles on offspring birth size in late pregnancy among women with and without gestational diabetes

BACKGROUND

Maternal glucose and lipid levels are known to influence fetal growth. However, data on how maternal lipid profiles affect birth size in women with gestational diabetes (GDM) compared with those without GDM are scarce.

METHODS

This retrospective study included 10,490 women with singleton pregnancies (2351 with GDM and 8139 without GDM) between December 2016 and July 2022. Maternal serum levels of total cholesterol (TC), triglycerides (TGs), low-density lipoprotein (LDL) cholesterol, and high-density lipoprotein (HDL) cholesterol were measured at 28-42 weeks of gestation. Maternal glucose levels were determined using the 2-h oral glucose tolerance test. The neonatal birth weight was obtained at delivery and standardized as the birth weight z score according to the INTERGROWTH-21st standards.

RESULTS

Compared with women without GDM, those with GDM presented increased mean TG levels and decreased levels of TC, HDL cholesterol, and LDL cholesterol. TG levels were positively associated with birth weight in both the GDM and non-GDM groups, whereas TC, HDL cholesterol, and LDL cholesterol levels were mildly negatively correlated with birth weight. In the GDM group, an increase of 1 mmol/L in maternal TGs correlated with a 28.4 g increase in birth weight (95% CI: 17.8 to 39.1), whereas increases of 1 mmol/L in TC (-19.2 g; 95% CI: -31.9 to -6.5), HDL cholesterol (-120.7 g; 95% CI: -164.8 to -76.6), and LDL cholesterol (-22.2 g; 95% CI: -40.4 to -4) were associated with a decrease in birth weight. Compared with women with GDM with TG levels ≤ the 10th percentile, those with TG levels ≥ the 90th percentile had increased risks of large-for-gestational-age offspring (adjusted OR: 3.09; 95% CI: 1.51-6.30) and macrosomia (adjusted OR: 4.04; 95% CI: 1.37-11.93); this risk was stronger than that in women without GDM.

CONCLUSIONS

This study provides evidence of a significant association between maternal lipid levels during late pregnancy and offspring birth size. However, the observational nature of the study limits the ability to establish causal relationships regarding the direct impact of lipid levels on birth size. Additionally, the influence of maternal lipid profiles is disproportionately greater in women with GDM than in women without GDM.

Maternal lipids in overweight and obesity: implications for pregnancy outcomes and offspring's body composition

Overweight and obesity (OWO) are linked to dyslipidemia and low-grade chronic inflammation, which is fueled by lipotoxicity and oxidative stress. In the context of pregnancy, maternal OWO has long been known to negatively impact on pregnancy outcomes and maternal health, as well as to imprint a higher risk for diseases in offspring later in life. Emerging research suggests that individual lipid metabolites, which collectively form the lipidome, may play a causal role in the pathogenesis of OWO-related diseases. This can be applied to the onset of pregnancy complications such as gestational diabetes mellitus (GDM) and hypertensive disorders of pregnancy (HDP), which in fact occur more frequently in women affected by OWO. In this review, we summarize current knowledge on maternal lipid metabolites in pregnancy and highlight associations between the maternal lipidome and the risk to develop GDM, HDP and childhood OWO. Emerging data underpin that dysregulations in maternal triglyceride, phospholipid and polyunsaturated fatty acid (PUFA) metabolism may play a role in modulating the risk for adverse pregnancy outcomes and childhood OWO, but it is yet premature to convert currently available insights into clinical guidelines. Well-designed large-scale lipidomic studies, combined with translational approaches including animal models of obesity, will likely facilitate the recognition of underling pathways of OWO-related pregnancy complications and child's health outcomes, based on which clinical guidelines and recommendations can be updated.

Association between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio and telomere length: the NHANES 1999-2002

Background

The relationship between non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) and telomere length (TL) remains unclear. This study aims to investigate their association in a nationally representative US population.

Methods

Data from 6,342 adults aged ≥20 were obtained from the National Health and Nutrition Examination Survey (NHANES) 1999-2002. The NHHR was calculated and categorized into tertiles. TL was measured as the telomere-to-standard reference DNA ratio. Multivariate linear regression and smooth curve fitting were employed to assess the association between NHHR and TL.

Results

The study population (mean age 45.1 ± 0.4 years, 48.9% male) was stratified into NHHR tertiles. Compared with the lowest NHHR tertile, the highest NHHR tertile was associated with adverse inflammatory and cardiometabolic profiles, including elevated white blood cell counts (6.88 ± 0.07-7.54 ± 0.08 × 109/L) and increased prevalence of hypertension (18.81%-25.71%) and diabetes (3.38%-7.17%). An elevated NHHR was significantly associated with a shorter TL (T/S ratio: 1.09 ± 0.02-1.03 ± 0.02; P = 0.0005). This association remained significant in partially adjusted models but was attenuated in a fully adjusted model. Significant interactions were observed for age and hypertension status.

Conclusion

This study revealed a linear inverse association between NHHR and TL, suggesting the utility of the NHHR as a novel biomarker for biological aging. Further prospective studies are warranted to validate these findings.

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

BACKGROUND

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.

METHODS

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.

RESULTS

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).

CONCLUSION

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.

Predictive Utility of Biochemical Markers for the Diagnosis and Prognosis of Gestational Diabetes Mellitus

Gestational diabetes mellitus (GDM) is a common complication during pregnancy with an increasing prevalence worldwide. Early prediction of GDM and its associated adverse outcomes is crucial for timely intervention and improved maternal and fetal health. The objective of this review is to provide a comprehensive summary of contemporary evidence on biomarkers, focusing on their potential to predict the development of GDM and serve as predictors of maternal, fetal, and neonatal outcomes in women with GDM. A literature search was conducted in the PubMed database using relevant terms. Original research articles published in English between 1 January 2015, and 30 June 2024, were included. A two-stage screening process was employed to identify studies on biomarkers for GDM diagnosis and prognosis and to evaluate the evidence for each biomarker's diagnostic performance and its potential prognostic correlation with GDM. Various biochemical markers, including adipokines, inflammatory markers, insulin resistance markers, glycemic markers, lipid profile markers, placenta-derived markers, and other related markers, have shown promise in identifying women at risk of developing GDM and predicting adverse pregnancy outcomes. Several promising markers with high predictive performance were identified. However, no single biomarker has demonstrated sufficient accuracy to replace the current diagnostic criteria for GDM. The complexity of multiple pathways in GDM pathogenesis highlights the need for a multi-marker approach to improve risk stratification and guide personalized management strategies. While significant progress has been made in GDM biomarker research, further studies are required to refine and validate these markers for clinical use and to develop a comprehensive, evidence-based approach to GDM prediction and management that can improve maternal and child health outcomes.

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

Background

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.

Methods

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.

Results

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).

Conclusion

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.

Lipid metabolism during pregnancy: consequences for mother and child

PURPOSE OF REVIEW

Accommodating fetal growth and development, women undergo multiple physiological changes during pregnancy. In recent years, several studies contributed to the accumulating evidence about the impact of gestational hyperlipidemia on cardiovascular risk for mother and child. This review aims to provide a comprehensive overview of the current research on lipid profile alterations during pregnancy and its associated (cardiovascular) outcomes for mother and child from a clinical perspective.

RECENT FINDINGS

In a normal pregnancy, total and LDL-cholesterol levels increase by approximately 30-50%, HDL-cholesterol by 20-40%, and triglycerides by 50-100%. In some women, for example, with familial hypercholesterolemia (FH), a more atherogenic lipid profile is observed. Dyslipidemia during pregnancy is found to be associated with adverse (cardiovascular) outcomes for the mother (e.g. preeclampsia, gestational diabetes, metabolic syndrome, unfavorable lipid profile) and for the child (e.g. preterm birth, large for gestational age, preatherosclerotic lesions, unfavorable lipid profile).

SUMMARY

The lipid profile of women during pregnancy provides a unique window of opportunity into the potential future cardiovascular risk for mother and child. Better knowledge about adverse outcomes and specific risk groups could lead to better risk assessment and earlier cardiovascular prevention. Future research should investigate implementation of gestational screening possibilities.