Lipid Traffic Analysis reveals the impact of high paternal carbohydrate intake on offsprings’ lipid metabolism

Furse, Samuel; Watkins, Adam; Hojat, Nima; Smith, James M.; Williams, Huw E. L.; Chiarugi, Davide; Koulman, Albert

doi:10.1038/s42003-021-01686-1

Cited by 18 publications

(70 citation statements)

References 49 publications

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“…The analysis of the present study was similar to previous studies [ 30 , 31 ]. The tissues used were mapped to the known biological/metabolic network ( Figure 1 A).…”

Section: Methodssupporting

confidence: 90%

Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes

Furse

Fernandez‐Twinn

Chiarugi

et al. 2021

IJMS

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The aim of the current study was to test the hypothesis that maternal lipid metabolism was modulated during normal pregnancy and that these modulations are altered in gestational diabetes mellitus (GDM). We tested this hypothesis using an established mouse model of diet-induced obesity with pregnancy-associated loss of glucose tolerance and a novel lipid analysis tool, Lipid Traffic Analysis, that uses the temporal distribution of lipids to identify differences in the control of lipid metabolism through a time course. Our results suggest that the start of pregnancy is associated with several changes in lipid metabolism, including fewer variables associated with de novo lipogenesis and fewer PUFA-containing lipids in the circulation. Several of the changes in lipid metabolism in healthy pregnancies were less apparent or occurred later in dams who developed GDM. Some changes in maternal lipid metabolism in the obese-GDM group were so late as to only occur as the control dams’ systems began to switch back towards the non-pregnant state. These results demonstrate that lipid metabolism is modulated in healthy pregnancy and the timing of these changes is altered in GDM pregnancies. These findings raise important questions about how lipid metabolism contributes to changes in metabolism during healthy pregnancies. Furthermore, as alterations in the lipidome are present before the loss of glucose tolerance, they could contribute to the development of GDM mechanistically.

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“…The analysis of the present study was similar to previous studies [ 30 , 31 ]. The tissues used were mapped to the known biological/metabolic network ( Figure 1 A).…”

Section: Methodssupporting

confidence: 90%

Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes

Furse

Fernandez‐Twinn

Chiarugi

et al. 2021

IJMS

Self Cite

View full text Add to dashboard Cite

show abstract

“…The increase in abundance of LPC with sample age was consistent with at least one anecdotal observation [17] and led us to the hypothesis that base-mediated hydrolysis of ester bonds occurred, presumably driven by triethylamine. It is useful to test this hypothesis because changes to the lipid profile with age are relevant for interpretation of data and consistent sample handling.…”

Section: Sample Age/storagesupporting

confidence: 84%

“…Animal model All biological samples were isolated from experimental mice used under ethically-approved studies. All procedures were conducted in accordance with the UK Home Office Animal (Scientific Procedures) Act 1986 and local ethics committees at either Aston University, King's College London and the Universities of Nottingham and Cambridge, as described previously [17,[27][28][29].…”

Section: Methodsmentioning

confidence: 99%

“…The best strategy for acquiring lipidomics data from a large number of samples in a single analytical batch is to use highthroughput approaches such as high resolution mass spectrometry, typically Direct Infusion (DIMS) [16,17]. This enables large numbers of variables to be quantified in a large number of samples relatively quickly, meaning the sample numbers required for RCTs can be profiled in a single analytical batch.…”

Section: Introductionmentioning

confidence: 99%

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A pipeline for making 31P NMR accessible for small- and large-scale lipidomics studies

et al. 2021

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Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental cellular structures. This has led to the use of a range of tools and techniques to acquire lipidomics data. 31P NMR for lipidomics offers well-resolved head group/lipid class analysis, structural data that can be used to inform and strengthen interpretation of mass spectrometry data and part of a priori structural determination. In the present study, we codify the use of 31P NMR for lipidomics studies to make the technique more accessible to new users and more useful for a wider range of questions. The technique can be used in isolation (phospholipidomics) or as a part of determining lipid composition (lipidomics). We describe the process from sample extraction to data processing and analysis. This pipeline is important because it allows greater thoroughness in lipidomics studies and increases scope for answering scientific questions about lipid-containing systems.

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“…The best strategy for acquiring lipidomics data from a large number of samples in a single analytical batch is to use high-throughput approaches such as high resolution mass spectrometry, typically Direct Infusion (DIMS) [16,17]. This enables large numbers of variables to be quantified in a large number of samples relatively quickly, meaning the sample numbers required for RCTs can be profiled in a single analytical batch.…”

Section: Introductionmentioning

confidence: 99%

A Pipeline for Making 31P NMR Accessible for Small- and Large-Scale Lipidomics Studies

Furse

Williams²,

Watkins³

et al. 2021

Preprint

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Detailed molecular analysis is of increasing importance in research into the regulation of biochemical pathways, organismal growth and disease. Lipidomics in particular is increasingly sought after as it provides insight into molecular species involved in energy storage, signalling and fundamental cellular structures. This has led to the use of a range of tools and techniques to acquire lipidomics data. 31P NMR for lipidomics offers well-resolved head group/lipid class analysis, structural data that can be used to inform and strengthen interpretation of mass spectrometry data and part of structural determination a priori. In the present study, we codify the use of 31P NMR for lipidomics to make the technique more accessible to new users and more useful for a wider range of studies. We describe the process from sample extraction to data processing and analysis. This pipeline is important because it allows greater thoroughness in lipidomics studies and increases scope for answering scientific questions about lipid systems.

show abstract

Lipid Traffic Analysis reveals the impact of high paternal carbohydrate intake on offsprings’ lipid metabolism

Cited by 18 publications

References 49 publications

Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes

Lipid Metabolism Is Dysregulated before, during and after Pregnancy in a Mouse Model of Gestational Diabetes

A pipeline for making 31P NMR accessible for small- and large-scale lipidomics studies

A Pipeline for Making 31P NMR Accessible for Small- and Large-Scale Lipidomics Studies

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