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Oral Sessions
Day 4, June 25（Wed.） 14:25-14:40
Room C (Top of Yaima)
- 4C-O2-1425
Development of LC-MS methods to enhance lipidomics analysis and clinical investigation of stroke etiology
(1NTU, 2NTU Metacore)
oChing-Hua Kuo1,2, Ching-Hua Lee1,2, Wei-Chieh Wang1,2, Chih-Ning Cheng1,2
Lipidomics is a rapidly growing field, but the structural complexity of lipids presents challenges for lipid identification. In particular, distinguishing ether-phosphatidylcholine (ether-PC) isomers, including alkyl-PC (PC(O-)) and plasmalogen-PC (PC(P-)), remains a major challenge in mass spectrometry (MS) analysis.
We developed a collision energy-optimized multiple reaction monitoring (MRM) method using RPLC-MS/MS for the accurate identification of PC(O-) and PC(P-). While this method effectively differentiates PC(O-) from PC(P-), it has limitations when analyzing ether lipids present at low concentrations. To improve method generalization, we developed a sphingomyelin (SM)-based RT-XLOGP3 regression model, which uses endogenous SM as a retention time (RT) indicator. By integrating XLOGP3 values, this model accurately predicts the RTs of PC(O-) and PC(P-) species, demonstrating high predictive performance.
Triglycerides (TG) play a crucial role in various biological processes, but their structural heterogeneity—due to variability in fatty acyl chains—poses challenges in TG analysis. To address this, we additionally proposed a pseudotargeted LC-MS/MS workflow for analyzing TGs in biological samples.
Finally, we applied these lipidomic methods to investigate stroke etiology using paired thrombus and plasma samples from acute ischemic stroke (AIS) patients. Our findings enhance the understanding of stroke pathophysiology and provide valuable insights for future clinical management strategies.