4.6 Article

Comparative Lipidomics of Caenorhabditis elegans Metabolic Disease Models by SWATH Non-Targeted Tandem Mass Spectrometry

Journal

METABOLITES
Volume 5, Issue 4, Pages 677-696

Publisher

MDPI
DOI: 10.3390/metabo5040677

Keywords

Caenorhabditis elegans; lipidomics; SWATH; tandem mass spectrometry; insulin; prostaglandin; cyclooxygenase; triglycerides; arachidonic acid; MS/MSALL

Funding

  1. NIH [P40 OD010440, GM085105]
  2. UAB-UCSD O'Brien Acute Kidney Injury Center [P30 DK079337]
  3. UAB Lung Health Center [HL114439, HL110950]
  4. UAB Center for Free Radical Biology
  5. NCRR [S10 RR027822-01]
  6. UAB Health Services Foundation

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Tandem mass spectrometry (MS/MS) with Sequential Window Acquisition of all Theoretical (SWATH) mass spectra generates a comprehensive archive of lipid species within an extract for retrospective, quantitative MS/MS analysis. Here we apply this new technology in Caenorhabditis elegans (C. elegans) to identify potential lipid mediators and pathways. The DAF-1 type I TGF-beta and DAF-2 insulin receptors transmit endocrine signals that couple metabolic status to fertility and lifespan. Mutations in daf-1 and daf-2 reduce prostaglandin-endoperoxide synthase (i.e., Cox)-independent prostaglandin synthesis, increase triacylglyceride storage, and alter transcription of numerous lipid metabolism genes. However, the extent to which DAF-1 and DAF-2 signaling modulate lipid metabolism and the underlying mechanisms are not well understood. MS/MSALL with SWATH analysis across the groups identified significant changes in numerous lipids, including specific triacylglycerols, diacylglycerols, and phosphatidylinositols. Examples are provided, using retrospective neutral loss and precursor ion scans as well as MS/MS spectra, to help identify annotated lipids and search libraries for lipids of interest. As proof of principle, we used comparative lipidomics to investigate the prostaglandin metabolism pathway. SWATH data support an unanticipated model: Cox-independent prostaglandin synthesis may involve lysophosphatidylcholine and other lyso glycerophospholipids. This study showcases the power of comprehensive, retrospectively searchable lipid archives as a systems approach for biological discovery in genetic animal models.

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