Comprehensive shotgun lipidomics of human meibomian gland secretions using MS/MSall with successive switching between acquisition polarity modes

The lipid composition of human meibomian gland secretions (meibum) has been analyzed using both targeted and untargeted mass spectrometric approaches, each of which has its advantages and disadvantages. Herein we report the results of shotgun lipidomic profiling of human meibum using a new approach...

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Published in:Journal of lipid research Vol. 59; no. 11; pp. 2223 - 2236
Main Authors: Chen, Jianzhong, Nichols, Kelly K.
Format: Journal Article
Language:English
Published: Elsevier Inc 01-11-2018
The American Society for Biochemistry and Molecular Biology
Elsevier
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Summary:The lipid composition of human meibomian gland secretions (meibum) has been analyzed using both targeted and untargeted mass spectrometric approaches, each of which has its advantages and disadvantages. Herein we report the results of shotgun lipidomic profiling of human meibum using a new approach that combines the advantages of targeted and untargeted analyses to yield highly sensitive and comprehensive profiles. Samples containing an estimated 7–13 µg (8–16 nL) of human meibum lipids were analyzed using MS/MSall, an untargeted approach for MS/MS. Using MS/MSall with ESI and successive polarity switching, we obtained tandem mass spectra in both modes at every 1 Da step for all ions in the m/z 200–1,200 range. In approximately 12 min, a total of 2 MS spectra and 2,000 MS/MS spectra were acquired for each sample, from which targeted analysis information was extracted. This approach allowed for the comprehensive and highly sensitive detection of meibum lipids, including species low in abundance. Altogether, more than 600 unique lipid molecular species were identified in meibum, 3 times more than previously reported in untargeted analyses of meibum samples. This untargeted MS and MS/MSall approach may be extended to other biological systems for the detection of lipids with sensitivity comparable to targeted analysis.
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The results of this study were presented in part at Pittconn 2016, Atlanta, GA, March 6–10, 2016, and the 65th American Society of Mass Spectrometry Conference, Indianapolis, IN, June 4–8, 2017.
ISSN:0022-2275
1539-7262
DOI:10.1194/jlr.D088138