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

In this paper we present an investigation of parental-diet-driven metabolic programming in offspring using a novel computational network analysis tool. The impact of high paternal carbohydrate intake on offsprings’ phospholipid and triglyceride metabolism in F1 and F2 generations is described. Detailed lipid profiles were acquired from F1 neonate (3 weeks), F1 adult (16 weeks) and F2 neonate offspring in serum, liver, brain, heart and abdominal adipose tissues by MS and NMR. Using a purpose-built computational tool for analysing both phospholipid and fat 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 reprogrammings associated with paternal diet. These results are important because they describe the long-term metabolic result of dietary intake by fathers. This analytical approach is important because it offers unparalleled insight into possible mechanisms for alterations in lipid metabolism throughout organisms.

show abstract

“…The novel R code developed in the present study is in Supplementary Data 3 and is available publicly available through Zenodo 48 and BioRxiv 49 .…”

Section: Data Availabilitymentioning

confidence: 99%

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

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…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 [36,[39][40][41].…”

Section: Methodsmentioning

confidence: 99%

“…The CUBO solvent mixture is designed to facilitate sample preparation with a high concentration of lipids in a monodisperse format and relatively low viscosity, minimising T1 and T2. T1 is field-dependent, with values ranging from 8•4 s (800 MHz, 700 MHz) [23,36] to 6•5 s (400 MHz) [22].…”

Section: Pulse Sequencementioning

confidence: 99%

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

Furse

Williams²,

Watkins³

et al. 2021

Preprint

Self Cite

View full text Add to dashboard Cite

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

“…The four examples of heart, liver, milk and serum matrices for measuring coefficient of variance (CV) were prepared as follows. Twelve existing liver and heart homogenates each, from two feeding groups (wither low-protein/high carbohydrate or control), were mixed to make four pooled mixtures each of liver and heart homogenates, prepared as previously described [ 14 , 28 ]. Commercially available, pooled serum was used.…”

Section: Methodsmentioning

confidence: 99%

Extraction of Lipids from Liquid Biological Samples for High-Throughput Lipidomics

2020

Self Cite

View full text Add to dashboard Cite

Extraction of the lipid fraction is a key part of acquiring lipidomics data. High-throughput lipidomics, the extraction of samples in 96w plates that are then run on 96 or 384w plates, has particular requirements that mean special development work is needed to fully optimise an extraction method. Several methods have been published as suitable for it. Here, we test those methods using four liquid matrices: milk, human serum, homogenised mouse liver and homogenised mouse heart. In order to determine the difference in performance of the methods as objectively as possible, we used the number of lipid variables identified, the total signal strength and the coefficient of variance to quantify the performance of the methods. This showed that extraction methods with an aqueous component were generally better than those without for these matrices. However, methods without an aqueous fraction in the extraction were efficient for milk samples. Furthermore, a mixture containing a chlorinated solvent (dichloromethane) appears to be better than an ethereal solvent (tert-butyl methyl ether) for extracting lipids. This study suggests that a 3:1:0.005 mixture of dichloromethane, methanol and triethylammonium chloride, with an aqueous wash, is the most efficient of the currently reported methods for high-throughput lipid extraction and analysis. Further work is required to develop non-aqueous extraction methods that are both convenient and applicable to a broad range of sample types.

show abstract

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

Cited by 7 publications

References 46 publications

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

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

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

Extraction of Lipids from Liquid Biological Samples for High-Throughput Lipidomics

Contact Info

Product

Resources

About