Metabolomics

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Absolute quantitative lipidomics reveals lipidome-wide alterations in aging brain (Mouse brain POS UPLC-MS assay)


ABSTRACT:

INTRODUCTION: The absolute quantitation of lipids at the lipidome-wide scale is a challenge but plays an important role in the comprehensive study of lipid metabolism.

OBJECTIVES: We aim to develop a high-throughput quantitative lipidomics approach to enable the simultaneous identification and absolute quantification of hundreds of lipids in a single experiment. Then, we will systematically characterize lipidome-wide changes in the aging mouse brain and provide a link between aging and disordered lipid homeostasis.

METHODS: We created an in-house lipid spectral library, containing 76,361 lipids and 181,300 MS/MS spectra in total, to support accurate lipid identification. Then, we developed a response factor-based approach for the large-scale absolute quantifications of lipids.

RESULTS: Using the lipidomics approach, we absolutely quantified 1212 and 864 lipids in human cells and mouse brains, respectively. The quantification accuracy was validated using the traditional approach with a median relative error of 12.6%. We further characterized the lipidome-wide changes in aging mouse brains, and dramatic changes were observed in both glycerophospholipids and sphingolipids. Sphingolipids with longer acyl chains tend to accumulate in aging brains. Membrane-esterified fatty acids demonstrated diverse changes with aging, while most polyunsaturated fatty acids consistently decreased.

CONCLUSION: We developed a high-throughput quantitative lipidomics approach and systematically characterized the lipidome-wide changes in aging mouse brains. The results proved a link between aging and disordered lipid homeostasis.


Mouse brain POS UPLC-MS assay data is reported in the current study MTBLS562.

Mouse brain NEG UPLC-MS assay data associated to this study is reported in MTBLS495.

INSTRUMENT(S): TripleTOF 6600, AB Sciex

SUBMITTER: jia tu 

PROVIDER: MTBLS562 | MetaboLights | 2018-08-03

REPOSITORIES: MetaboLights

Dataset's files

Source:
Action DRS
MTBLS562 Other
FILES Other
a_MTBLS562_POS_mass_spectrometry.txt Txt
a_aging_mouse_brains_metabolite_profiling_mass_spectrometry-1.txt Txt
i_Investigation.txt Txt
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