Altered triglyceride and phospholipid metabolism predates the diagnosis of gestational diabetes in obese pregnancy

Furse, Samuel; White, Sara L.; Meek, Claire L; Jenkins, Benjamin; Petry, Clive J.; Vieira, Matias C.; Ozanne, Susan E.; Dunger, David B.; Poston, Lucilla; Koulman, Albert

doi:10.1039/c9mo00117d

Cited by 35 publications

(48 citation statements)

References 78 publications

(87 reference statements)

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“…All samples were infused into an Exactive Orbitrap (Thermo, Hemel Hampstead, UK), using a TriVersa NanoMate (Advion, Ithaca US), for direct infusion mass spectrometry (DI-MS [16,25]). Samples (15 μL ea.)…”

Section: Direct Infusion Mass Spectrometrymentioning

confidence: 99%

“…Liquid chromatography-mass spectrometry LC-MS was run as we described in our recent studies [14,16,26,27], with the additional use of CID for analyses described here. For all runs, chromatographic separation of lipid and triglycerides was achieved using a Waters Acquity UPLC CSH C18 (50 mm × 2•1 mm, 1•7 mm) LC-column with a Shimadzu UPLC system (Shimadzu UK Limited, Milton Keynes, UK).…”

Section: Direct Infusion Mass Spectrometrymentioning

confidence: 99%

“…In order to produce a detailed molecular survey in a highthroughput manner, we have made use of Direct Infusion Mass Spectrometry (DI-MS) [25,26,28,39]. In this process, samples in organic solution are injected into the Orbitrap without chromatography and ionised in positive and then negative modes.…”

Section: Profiling Of the Lipid Fraction Using Direct Infusion Mass Smentioning

confidence: 99%

“…There is mounting evidence that lipid metabolism has a crucial role in growth and metabolic disease in humans [12][13][14][15][16]. This has encouraged the development of methods required for lipid profiling.…”

Section: Introductionmentioning

confidence: 99%

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A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues

et al. 2020

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Lipidomics is of increasing interest in studies of biological systems. However, high-throughput data collection and processing remains non-trivial, making assessment of phenotypes difficult. We describe a platform for surveying the lipid fraction for a range of tissues. These techniques are demonstrated on a set of seven different tissues (serum, brain, heart, kidney, adipose, liver, and vastus lateralis muscle) from post-weaning mouse dams that were either obese (> 12 g fat mass) or lean (<5 g fat mass). This showed that the lipid metabolism in some tissues is affected more by obesity than others. Analysis of human serum (healthy nonpregnant women and pregnant women at 28 weeks' gestation) showed that the abundance of several phospholipids differed between groups. Human placenta from mothers with high and low BMI showed that lean placentae contain less polyunsaturated lipid. This platform offers a way to map lipid metabolism with immediate application in metabolic research and elsewhere.

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Section: Direct Infusion Mass Spectrometrymentioning

confidence: 99%

Section: Direct Infusion Mass Spectrometrymentioning

confidence: 99%

Section: Profiling Of the Lipid Fraction Using Direct Infusion Mass Smentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues

et al. 2020

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“…The p-value associated with each J represents the probability that the difference between the lists of variables for the two phenotypes occurred by random chance and should not be confused with p-values from Student's t-test. The pvalues that are associated with the Student's t-tests (Abundance Analyses) were interpreted using a corrected p-value of 0·0021 based on 586 dependent variables 37 . Only lipid variables with a p-value below this and that were relevant to the hypothesis were used.…”

Section: Di-ms Data Processingmentioning

confidence: 99%

Revealing grand-paternal programming of lipid metabolism using a novel computational tool

Furse

Watkins

Chiarugi

et al. 2020

Preprint

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Furse et al. Unravelling grand-paternal programming of lipid metabolism using novel lipid computational tool, 2020. P a g e | 1Abstract While the consequences of poor maternal diet on the offspring's cardio-metabolic health have been studied in detail, the role of the father's diet on the health of his offspring is poorly understood. We used a known mouse model to establish the impact of an isocaloric paternal low-protein high-carbohydrate diet on the offspring's lipid metabolism. Detailed lipid profiles were acquired from F1 neonate (3 weeks), F1 adult (16 weeks) and F2 neonate male and female offspring, in serum, liver, brain, heart and abdominal adipose tissues by Mass Spectrometry and Nuclear Magnetic Resonance. Using a purpose-built computational tool for analysing lipid metabolism as a network, we characterised the number, type and abundance of lipid variables in and between tissues (Lipid Traffic Analysis), finding a variety of alterations associated with paternal diet. These elucidate a mechanism for the defective physiological behaviour of systems at risk of cardio-metabolic disease.

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BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women

Wang

Huang

et al. 2022

Obesity

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Objective The study aimed to identify BMI‐related lipids and to explore the role of lipids linking BMI and gestational diabetes mellitus (GDM). Methods Plasma lipidome, height, and weight were measured in early pregnancy among 1008 women. Pearson correlation analyses and least absolute shrinkage and selection operator regression (LASSO) were performed to identify BMI‐associated lipids. Based on these lipids, a lipid score was created using LASSO, and its association with GDM risk was evaluated by conditional logistic regression. The causal relationships between BMI and lipids were tested by Mendelian randomization analysis with genotyping data. Mediation analysis was conducted to evaluate the mediating effect of lipids on the association of BMI with GDM. Results Of 366 measured lipids, BMI was correlated with 28 lipids, which mainly belong to glycerophospholipids and glycerolipids. A total of 10 lipid species were associated with BMI, and a lipid score was established. A causal relationship between BMI and lysophosphatidylcholine 14:0 was observed. The lipid score was associated with a 1.69‐fold increased risk of GDM per 1‐point increment (95% CI: 1.33‐2.15). Furthermore, BMI‐associated lipids might explain 66.4% of the relationship between BMI and GDM. Conclusions Higher BMI in early pregnancy was associated with altered lipid metabolism that may contribute to the increased risk of GDM.

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Altered triglyceride and phospholipid metabolism predates the diagnosis of gestational diabetes in obese pregnancy

Abstract: Gestational diabetes (GDM), a common pregnancy complication associated with obesity and long-term health risks, is usually diagnosed at approximately 28 weeks of gestation.

Cited by 35 publications

References 78 publications

A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues

A high-throughput platform for detailed lipidomic analysis of a range of mouse and human tissues

Revealing grand-paternal programming of lipid metabolism using a novel computational tool

BMI and lipidomic biomarkers with risk of gestational diabetes in pregnant women

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