Serum Lipidomics Profiling Using LC–MS and High-Energy Collisional

Department of Neurosurgery, Brigham and Women's Hospital and Department of Surgery, Harvard Medical School, 221 Longwood Avenue, LMRC-322, Boston, ...
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Serum Lipidomics Profiling Using LC MS and High-Energy Collisional Dissociation Fragmentation: Focus on Triglyceride Detection and Characterization Susan S. Bird, Vasant R. Marur, Matthew J. Sniatynski, Heather K. Greenberg, and Bruce S. Kristal* Department of Neurosurgery, Brigham and Women’s Hospital and Department of Surgery, Harvard Medical School, 221 Longwood Avenue, LMRC-322, Boston, Massachusetts 02115, United States

bS Supporting Information ABSTRACT: There is a growing need both clinically and experimentally to improve the characterization of blood lipids. A liquid chromatography mass spectrometry (LC MS) method, developed for the qualitative and semiquantitative detection of lipids in biological samples and previously validated in mitochondrial samples, was now evaluated for the profiling of serum lipids. Data were acquired using high-resolution, full scan MS and high-energy, collisional dissociation (HCD), all ion fragmentation. The method was designed for efficient separation and detection in both positive and negative ionization mode and evaluated using standards spanning seven lipid classes. Platform performance, related to the identification and characterization of serum triglycerides (TGs), was assessed using extracted ion chromatograms with mass tolerance windows of 5 ppm or less from full scan exact mass measurements determined using SIEVE nondifferential LC MS analysis software. The platform showed retention time coefficients of variation (CV) of