Placental lipid transport and content in response to maternal overweight and gestational diabetes mellitus in human term placenta

Song, Lin; Wang, Ning; Peng, Yang; Sun, Bo; Cui, Wei

doi:10.1016/j.numecd.2021.12.018

Cited by 13 publications

(15 citation statements)

References 49 publications

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“…Neonatal birth weight was positively correlated with maternal pre-BMI. (32) Bret K E et al, measured Gene expression in placenta samples obtained from lean (n = 11) and obese (n = 10) women. Weight gain during gestation (GWG) in excess of the upper limit of the body mass index (BMI) specific guidelines was correlated with increased expression of Sodium-Coupled Neutral Amino Acid Transporter 1 (SNAT1).…”

Section: Resultsmentioning

confidence: 99%

Insulin like growth factor 1 (IGF-1) and IGF binding proteins in obese pregnant women and their babies: Potential effects on placental function and fetal growth

Soliman¹,

Hamed²,

Alyafei³

et al. 2023

World J. Adv. Res. Rev.

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Introduction: The placenta expresses significant amounts of insulin and IGF1 receptors at distinct locations on both fetal and maternal surfaces. This makes the IGF1 and the insulin receptor accessible to fetal and/or maternal insulin, IGF1 and IGF2. IGFs are involved in the receptor-mediated regulation of placental growth and transport, and placental angiogenesis. Maternal obesity during gestation mediates significant changes in the metabolism of mothers, placentas as well as fetal growth. Objectives: In obese women. the role of the insulin like growth factor system IGFs, IGF receptors, IGF-binding proteins (IGFBPs) and IGFBP proteases during gestation, and their effect on placental growth and fetal anthropometric changes need further clarification. In this update we reviewed the literature on the detected changes in the maternal and fetal IGFs in relation to placental growth and function and to fetal growth and newborn size in pregnant obese mothers. Eighteen research articles fitted the criteria of this update. Results: Twenty-three research papers were including 2817 pregnant obese and non-obese women (controls) and their babies were selected and reviewed. Results showed that obesity and excessive nutrient intake during gestation increase maternal IGF1and decreases IGBP1. Increased maternal IGF1 and/or its availability due to decreased IGFBP1 can increase the size (weight) and development of the placenta, stimulate mTOR signaling which stimulates protein synthesis, mitochondrial function, and upregulate specific placental amino acid transporter isoforms (amino acids transport), GLUT-1, (glucose transport) and possibly lipid transport to the fetus which can induce fetal IGF1 secretion and lead to overgrowth. Conclusions: In obese women during pregnancy, increased level of IGF1 and/or its availability due to decreased IGFBP1 can increase the size (weight) and development of the placenta, stimulate mTOR signaling which stimulates protein synthesis, mitochondrial function, and upregulate placental transport of amino acids, glucose and possibly fatty acids.

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Section: Resultsmentioning

confidence: 99%

Insulin like growth factor 1 (IGF-1) and IGF binding proteins in obese pregnant women and their babies: Potential effects on placental function and fetal growth

Soliman¹,

Hamed²,

Alyafei³

et al. 2023

World J. Adv. Res. Rev.

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“…32 Our previous study found that elevated placental lipid content (TG, CHO) at the third trimester of overweight pregnant women enhanced placental mTORC1-RPS6 and ERK1/2 signaling, leading to the rise of cord blood insulin level and birth weight. 11 The relationship between previous macrosomia delivery history and the risk of having LGA might be caused by diet and the awareness of monitoring fetal overgrowth at the third trimester. T2DM and GDM have many overlapped susceptible genes.…”

Section: Discussionmentioning

confidence: 99%

“…NEFAs can cross the base membrane into the fetal circulation and then be absorbed by the fetal liver and eventually cause fetal overgrowth 32 . Our previous study found that elevated placental lipid content (TG, CHO) at the third trimester of overweight pregnant women enhanced placental mTORC1‐RPS6 and ERK1/2 signaling, leading to the rise of cord blood insulin level and birth weight 11 …”

Section: Discussionmentioning

confidence: 99%

“…8,9 The increased risk of fetal overgrowth in these models may be associated with the increased levels of lipid profile. 10,11 A meta-analysis indicates that the abnormal maternal lipid profile, which includes increased triglycerides (TG) and decreased highdensity-lipoprotein cholesterol (HDL-C) levels during pregnancy, are associated with the risk of giving birth to LGA for pregnant women. 12 To our knowledge, there is a limited LGA prediction model that includes GDM subtype as a variable; therefore we aimed to establish a model for early screening and intervention based on GDM subtypes and pregnancyrelated glucolipid metabolism indexes, in combination with other LGA risk factors, which could be used at the early stage of the last trimester to guide prevention strategies.…”

Section: Introductionmentioning

confidence: 99%

“…However, the risk of fetal overgrowth is still increased even after strict glycemic management and in nondiabetic obese mothers 8,9 . The increased risk of fetal overgrowth in these models may be associated with the increased levels of lipid profile 10,11 . A meta‐analysis indicates that the abnormal maternal lipid profile, which includes increased triglycerides (TG) and decreased high‐density‐lipoprotein cholesterol (HDL‐C) levels during pregnancy, are associated with the risk of giving birth to LGA for pregnant women 12 …”

Section: Introductionmentioning

confidence: 99%

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

Wang

Guo

Jing

et al. 2023

Journal of Diabetes

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Background 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. Methods 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. Results 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. Conclusion 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.

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Cord blood triglyceride and total cholesterol in preterm and term neonates: reference values and associated factors from the Japan Environment and Children’s Study

Go,

Hashimoto,

Maeda

et al. 2023

Eur J Pediatr

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Placental lipid transport and content in response to maternal overweight and gestational diabetes mellitus in human term placenta

Cited by 13 publications

References 49 publications

Insulin like growth factor 1 (IGF-1) and IGF binding proteins in obese pregnant women and their babies: Potential effects on placental function and fetal growth

Insulin like growth factor 1 (IGF-1) and IGF binding proteins in obese pregnant women and their babies: Potential effects on placental function and fetal growth

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

Cord blood triglyceride and total cholesterol in preterm and term neonates: reference values and associated factors from the Japan Environment and Children’s Study

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