Maternal fats and pregnancy complications: Implications for long-term health

Khaire, Amrita; Wadhwani, Nisha; Madiwale, Shweta; Joshi, Sadhana

doi:10.1016/j.plefa.2020.102098

Cited by 23 publications

(21 citation statements)

References 102 publications

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“…Therefore, optimal levels of glucose and lipids during pregnancy might reduce insulin resistance and improve pancreatic β-cell function to decrease postpartum dyslipidemia. Maternal dyslipidemia and/or obesity affects obesity and metabolic diseases in the offspring, including changes in cardiac geometry and function [41,42]. Hyperlipidemia induces a proinflammatory cascade, which can regulate placental nutrient transporters and affect placental development and function, fatty acid composition, oxidative stress, inflammatory stress, and adaptive immunity [43].…”

Section: Discussionmentioning

confidence: 99%

Early postpartum dyslipidemia and its potential predictors during pregnancy in women with a history of gestational diabetes mellitus

et al. 2020

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Background This study aimed to analyze the incidence of early postpartum dyslipidemia and its potential predictors in women with a history of gestational diabetes mellitus (GDM). Methods This was a retrospective study. Five hundred eighty-nine women diagnosed with GDM were enrolled and followed up at 6–12 weeks after delivery. A 75 g oral glucose tolerance test (OGTT) and lipid levels were performed during mid-trimester and the early postpartum period. Participants were divided into the normal lipid group and dyslipidemia group according to postpartum lipid levels. Demographic and metabolic parameters were analyzed. Multiple logistic regression was performed to analyze the potential predictors for early postpartum dyslipidemia. A receiver operating characteristic curve (ROC) was calculated to determine the cut-off values. Results A total of 38.5% of the 589 women developed dyslipidemia in early postpartum and 60% of them had normal glucose metabolism. Delivery age, systolic blood pressure (SBP), glycated hemoglobin (HbA1c) and low-density lipoprotein cholesterol (LDL-C) were independent predictors of early postpartum dyslipidemia in women with a history of GDM. The cut-offs of maternal age, SBP, HbA1c values, and LDL-C levels were 35 years, 123 mmHg, 5.1%, and 3.56 mmol/L, respectively. LDL-C achieved a balanced mix of high sensitivity (63.9%) and specificity (69.2%), with the highest area under the receiver operating characteristic curve (AUC) (0.696). When LDL-C was combined with age, SBP, and HbA1c, the AUC reached to 0.733. Conclusions A lipid metabolism evaluation should be recommended in women with a history of GDM after delivery, particularly those with a maternal age > 35 years, SBP > 123 mmHg before labor, HbA1c value > 5.1%, or LDL-C levels > 3.56 mmol/L in the second trimester of pregnancy.

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Section: Discussionmentioning

confidence: 99%

Early postpartum dyslipidemia and its potential predictors during pregnancy in women with a history of gestational diabetes mellitus

et al. 2020

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“…All of the lipid groups in the above-mentioned associations contain saturated or mono-unsaturated hydrocarbon chains except for the associations between MCPP and polyunsaturated CER. s Evidence from limited human studies have shown that increased levels of saturated and/or mono-unsaturated lipids can have negative effects on pregnancy and poor birth outcomes [47][48][49]. Therefore, the positive signals we observed between phthalates and saturated and mono-unsaturated lipid classes may be a proxy mechanism or mediator for suspected adverse effects of phthalates on pregnancy outcomes.…”

Section: Discussionmentioning

confidence: 72%

Maternal Urinary Phthalate Metabolites are Associated with Lipidomic Signatures Among Pregnant Women in Puerto Rico

Ashrap

Aung

Watkins

et al. 2021

Preprint

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Background: Phthalates have been reported to alter circulating lipid concentrations in animals, and investigation of these associations in humans will provide greater understanding of potential mechanisms for health outcomes. Objective: to explore associations between phthalate metabolite biomarkers and lipidomic profiles among pregnant women (n = 99) in the Puerto Rico PROTECT cohort. Methods: We measured 19 urinary phthalate metabolites during 24-28 weeks of pregnancy. Lipidomic profiles were identified from plasma samples by liquid chromatography-mass spectrometry-based shotgun lipidomics. Relationships between phthalates and lipid profiles were estimated using compound-by-compound comparisons in multiple linear regression and dimension reduction techniques. We derived sums for each lipid class and sub-class (saturated, monounsaturated, polyunsaturated) which were then regressed on phthalates. Associations were adjusted for false discovery. Results: After controlling for multiple comparisons, 33 phthalate-lipid associations were identified (q-value<0.05), and diacylglycerol 40:7 and plasmenyl-phosphatidylcholine 35:1 were the most strongly associated with multiple phthalate metabolites. Metabolites of di-2-ethylhexyl phthalate, bis(2-ethylhexyl) phthalate, dibutyl phthalates, and diisobutyl phthalate were associated with increased ceramides, lysophosphatidylcholines, lysophosphatidylethanolamines, and triacylglycerols, particularly those containing saturated and monounsaturated fatty acid chains. Significance: Characterization of associations between lipidomic markers and phthalates during pregnancy will yield mechanistic insight for maternal and child health outcomes.

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“…The blood lipid level of pregnant women is one of the important factors affecting the birth weight of newborns. Maternal TG and TC can be taken up by the placenta, metabolized and transported to the fetus in various forms for providing energy for the fetus and helping the fetus to build cell membrane 23 . Increased levels of these two lipids in a certain range during pregnancy are bene cial to the development and growth of the fetus.…”

Section: Discussionmentioning

confidence: 99%

Nomogram-Based Prediction of the Risk of Macrosomia: A Prospective Cohort Study in a Chinese Population

Chai

Zhao

et al. 2021

Preprint

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Objective: This study aimed to establish a nomogram for predicting the risk of macrosomia in early pregnancy.Methods: We performed a prospective cohort study involving 1,549 pregnant women. According to the birth weight of newborn, the subjects were divided into two groups: macrosomia group and non-macrosomia group. Multivariate logistic regression was used to analyze the risk factors for macrosomia.Results: The prevalence of macrosomia was 6.13% (95/1549) in our hospital. Multivariate logistic regression analysis showed the risk factors of macrosomia were prepregnancy overweight (OR: 2.126, 95% CI: 1.181-3.826)/obesity (OR: 3.536, 95% CI: 1.555-8.036), multiparity (OR:1.877, 95% CI: 1.160-3.039), the history of macrosomia (OR: 36.971, 95% CI: 19.903-68.674), the history of GDM/DM (OR: 2.285, 95% CI: 1.314-3.976), the higher levels of HbA1c (OR: 1.763, 95% CI: 1.004-3.097) and TC (OR: 1.360, 95% CI: 1.004-1.842). A nomogram was developed for predicting macrosomia based on maternal factors related to the risk of macrosomia in early pregnancy. The area under the receiver operating characteristic (ROC) curve of the nomogram was 0.807 (95% CI: 0.755–0.859), the sensitivity and specificity of the model were 0.716 and 0.777, respectively.Conclusion: The nomogram model provides an accurate mothed for clinicians to early predict macrosomia.

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Maternal fats and pregnancy complications: Implications for long-term health

Cited by 23 publications

References 102 publications

Early postpartum dyslipidemia and its potential predictors during pregnancy in women with a history of gestational diabetes mellitus

Early postpartum dyslipidemia and its potential predictors during pregnancy in women with a history of gestational diabetes mellitus

Maternal Urinary Phthalate Metabolites are Associated with Lipidomic Signatures Among Pregnant Women in Puerto Rico

Nomogram-Based Prediction of the Risk of Macrosomia: A Prospective Cohort Study in a Chinese Population

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