| Serum lipidomics profiling using LC-MS and high-energy collisional dissociation fragmentation: focus on triglyceride detection and characterization. | |
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MedLine Citation:
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PMID: 21774539 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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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 <0.3%, mass accuracy values of <2 ppm error, and peak area CV of <13%, with the majority of that error coming from sample preparation and extraction rather than the LC-MS analysis, and linearity was shown to be over 4 orders of magnitude (r(2) = 0.999) for the standard TG (15:0)(3) spiked into serum. Instrument mass accuracy and precision were critical to the identification of unknown TG species, in part because these parameters enabled us to reduce false positives. In addition to detection and relative quantitation of TGs in serum, TG structures were characterized through the use of alternating HCD scans at different energies to produce diagnostic fragmentations on all ions in the analysis. The lipidomics method was applied to serum samples from 192 rats maintained on diets differing in macronutrient composition. The analysis identified 86 TG species with 81 unique masses that varied over 3.5 orders of magnitude and showed diet-dependency, consistent with TGs linking diet and disease risk. |
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Authors:
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Susan S Bird; Vasant R Marur; Matthew J Sniatynski; Heather K Greenberg; Bruce S Kristal |
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Publication Detail:
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Type: Journal Article; Research Support, American Recovery and Reinvestment Act; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't Date: 2011-08-05 |
Journal Detail:
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Title: Analytical chemistry Volume: 83 ISSN: 1520-6882 ISO Abbreviation: Anal. Chem. Publication Date: 2011 Sep |
Date Detail:
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Created Date: 2011-09-01 Completed Date: 2011-12-21 Revised Date: 2013-02-06 |
Medline Journal Info:
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Nlm Unique ID: 0370536 Medline TA: Anal Chem Country: United States |
Other Details:
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Languages: eng Pagination: 6648-57 Citation Subset: IM |
Affiliation:
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Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 221 Longwood Avenue, LMRC-322, Boston, Massachusetts 02115, USA. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Animals Chromatography, High Pressure Liquid / methods* Lipids / blood Male Mass Spectrometry / methods* Rats Rats, Inbred F344 Software Triglycerides / blood* |
| Grant Support | |
ID/Acronym/Agency:
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P30 DK040561-15/DK/NIDDK NIH HHS; RC1 ES018411/ES/NIEHS NIH HHS; RC1 ES018411-02/ES/NIEHS NIH HHS; RC1ES018411/ES/NIEHS NIH HHS; U01 ES016048/ES/NIEHS NIH HHS; U01 ES016048-04/ES/NIEHS NIH HHS; U01-ES16048/ES/NIEHS NIH HHS |
| Chemical | |
Reg. No./Substance:
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0/Lipids; 0/Triglycerides |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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