Lipid turnover is defined as the balance between degradation and synthesis of lipid in the cell. Failure in precise regulation of lipid turnover is associated with several metabolic diseases including diabetes and atherosclerosis. Our group developed a novel analytical platforms for high-throughput determination of lipid turnover in vivo based on partial metabolic deuterium oxide (D2O) labeling. An in-house software was also developed to streamline the data processing from peak area quantification of mass isotopomers to exponential curve fitting for extracting the turnover rate constant.
A novel quantitative mass spectrometric method based on partial metabolic deuterium oxide (D2O) labeling, named “Deuterium Oxide Labeling for Global Omics Relative Quantification (DOLGOReQ),” was developed for relative quantification of lipids on a global scale. From the subtle changes in isotopic distribution, the relative abundance between unlabeled and D-labeled samples were compared. Based on the characteristic of D2O that enables D labeling in various biomolecules such as protein and carbohydrate, DOLGOReQ can be applicable to other quantitative omics studies.