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Title: Evaluating lipid mediator structural complexity using ion mobility spectrometry combined with mass spectrometry

Journal Article · · Bioanalysis

Lipid mediators (LMs) are broadly defined as a class of bioactive lipophilic molecules that regulate cell-to-cell communication events with many having a strong correlation with various human diseases and conditions. LMs are usually analyzed with liquid chromatography and mass spectrometry (LC-MS), but their numerous isomers greatly complicate the measurements with essentially identical fragmentation spectra and LC separations not always sufficient for distinguishing the features. Herein, we characterized LMs having specific categories using ion mobility spectrometry coupled with mass spectrometry (IMS-MS). The collision cross-sections and m/z values from the IMS and MS analyses displayed distinct trend lines. Specifically, the structural trend lines for sodiated LMs originating from docosahexaenoic acid had the smallest collision cross-section values in relation to m/z, while those from linoleic acid had the largest. LC–IMS–MS analyses were also performed on LMs in flu infected mouse tissue samples. These multidimensional studies were able to assess known LMs while also detecting new species. Adding IMS separations to conventional LC–MS analyses show great utility for enabling better identification and characterization of LMs in complex biological samples.

Research Organization:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States). Environmental Molecular Sciences Laboratory (EMSL)
Sponsoring Organization:
National Institute of Environmental Health Sciences (NIEHS); National Institutes of Health (NIH); National Institute of General Medical Sciences (NIGMS); National Institute of Allergy and Infectious Diseases (NIAID); USDOE Laboratory Directed Research and Development (LDRD) Program; USDOE Office of Science (SC), Biological and Environmental Research (BER)
Grant/Contract Number:
AC05-76RL01830; R01 ES022190; P41 GM103493; U19AI106772
OSTI ID:
1455278
Report Number(s):
PNNL-SA-130733; 49531; 400412000
Journal Information:
Bioanalysis, Vol. 10, Issue 5; ISSN 1757-6180
Publisher:
Future Science GroupCopyright Statement
Country of Publication:
United States
Language:
English
Citation Metrics:
Cited by: 20 works
Citation information provided by
Web of Science

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Cited By (2)

Improving metabolome coverage and data quality: advancing metabolomics and lipidomics for biomarker discovery journal January 2018
Methods of the Analysis of Oxylipins in Biological Samples journal January 2020

Figures / Tables (8)


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