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A High Throughput Lipidomics Method Using Scheduled Multiple Reaction Monitoring.

Akash Kumar BhaskarSalwa NaushinArjun RayPraveen SinghAnurag RajShalini PradhanKhushboo AdlakhaTowfida Jahan SiddiquaDipankar MalakarDebasis DashShantanu Sengupta
Published in: Biomolecules (2022)
Lipid compositions of cells, tissues, and bio-fluids are complex, with varying concentrations and structural diversity making their identification challenging. Newer methods for comprehensive analysis of lipids are thus necessary. Herein, we propose a targeted-mass spectrometry based lipidomics screening method using a combination of variable retention time window and relative dwell time weightage. Using this method, we identified more than 1000 lipid species within 24-min. The limit of detection varied from the femtomolar to the nanomolar range. About 883 lipid species were detected with a coefficient of variance <30%. We used this method to identify plasma lipids altered due to vitamin B 12 deficiency and found a total of 18 lipid species to be altered. Some of the lipid species with ω-6 fatty acid chains were found to be significantly increased while ω-3 decreased in vitamin B 12 deficient samples. This method enables rapid screening of a large number of lipid species in a single experiment and would substantially advance our understanding of the role of lipids in biological processes.
Keyphrases
  • fatty acid
  • high throughput
  • mass spectrometry
  • genetic diversity
  • magnetic resonance imaging
  • magnetic resonance
  • computed tomography
  • oxidative stress
  • cell cycle arrest
  • solid phase extraction