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

Published version
Peer-reviewed

Change log

Authors

Fernandez-Twinn, Denise S 
Jenkins, Benjamin 
Meek, Claire L 
Williams, Huw EL 

Abstract

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 non-pregnant 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. Graphical abstract.

Description

Keywords

31P NMR, Human development, Lipid profiling, Lipidomics, Mass spectrometry, Metabolic disease, Mouse model, Animals, Female, Humans, Lipidomics, Lipids, Mice, Mice, Inbred C57BL, Obesity, Pregnancy, Thinness, Tissue Distribution

Journal Title

Anal Bioanal Chem

Conference Name

Journal ISSN

1618-2642
1618-2650

Volume Title

412

Publisher

Springer Science and Business Media LLC
Sponsorship
Biotechnology and Biological Sciences Research Council (BB/M027252/2)
Cambridge University Hospitals NHS Foundation Trust (CUH) (146281)
Biotechnology and Biological Sciences Research Council (BB/P028195/1)
Biotechnology and Biological Sciences Research Council (BB/M027252/1)
Medical Research Council (MC_UU_12012/4)
Diabetes UK (17/0005712)
MRC (MC_UU_00014/5)
British Heart Foundation (RG/17/12/33167)
MRC (MC_UU_00014/4)
Medical Research Council (MC_PC_12012)
BBSRC (BB/M027252/1 for SF), Diabetes UK (17/0005712 for CLM), MRC (MC_UU_12012/4 for SEO) National Institute for Health Research (NIHR, Women’s Health theme for DSC-J and GCSS