Furse, S, Watkins, AJ, Chiarugi, D et al. (4 more authors) (2020) Revealing grand-paternal programming of lipid metabolism using a novel computational tool. Working Paper. Cold Spring Harbor Laboratory (Unpublished)
Abstract
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.
Metadata
Item Type: | Monograph |
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Authors/Creators: |
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Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > School of Food Science and Nutrition (Leeds) > FSN Chemistry and Biochemistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 06 Jan 2021 13:58 |
Last Modified: | 06 Jan 2021 13:58 |
Status: | Unpublished |
Publisher: | Cold Spring Harbor Laboratory |
Identification Number: | 10.1101/2020.06.23.166819 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:168551 |