期刊
METABOLITES
卷 10, 期 6, 页码 -出版社
MDPI
DOI: 10.3390/metabo10060225
关键词
lipidomic; liquid chromatography; tandem mass spectrometry; molecular network; dry eye disease; hyperosmolarity
资金
- Sorbonne Universite
- Institut National de la Sante et de la Recherche Medicale
- Centre National de la Recherche Scientifique
Annotation of lipids in untargeted lipidomic analysis remains challenging and a systematic approach needs to be developed to organize important datasets with the help of bioinformatic tools. For this purpose, we combined tandem mass spectrometry-based molecular networking with retention time (t(R)) prediction to annotate phospholipid and sphingolipid species. Sixty-five standard compounds were used to establish the fragmentation rules of each lipid class studied and to define the parameters governing their chromatographic behavior. Molecular networks (MNs) were generated through the GNPS platform using a lipid standards mixture and applied to lipidomic study of anin vitromodel of dry eye disease,i.e., human corneal epithelial (HCE) cells exposed to hyperosmolarity (HO). These MNs led to the annotation of more than 150 unique phospholipid and sphingolipid species in the HCE cells. This annotation was reinforced by comparing theoretical to experimental t(R)values. This lipidomic study highlighted changes in 54 lipids following HO exposure of corneal cells, some of them being involved in inflammatory responses. The MN approach coupled to t(R)prediction thus appears as a suitable and robust tool for the discovery of lipids involved in relevant biological processes.
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