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

Analytical and Bioanalytical Chemistry
Samuel FurseAlbert Koulman

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.

References

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Sep 27, 2019·Metabolomics : Official Journal of the Metabolomic Society·Samuel FurseAlbert Koulman

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Citations

Jul 17, 2020·Molecules : a Journal of Synthetic Chemistry and Natural Product Chemistry·Samuel FurseAlbert Koulman
May 17, 2021·Biochimica Et Biophysica Acta. Molecular and Cell Biology of Lipids·Milada VítováSamuel Furse
Jul 14, 2021·Analytical and Bioanalytical Chemistry·Samuel FurseAlbert Koulman
Jul 25, 2021·International Journal of Molecular Sciences·Samuel FurseSusan E Ozanne

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Methods Mentioned

BETA
nuclear magnetic resonance
NMR

Software Mentioned

sPLS
DA
Origin
Excel
R code
MetaboAnalyst
Thermo® Xcalibur

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