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Fast and broad-coverage lipidomics enabled by ion mobility-mass spectrometry.
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- Additional Information
- Source:
Publisher: Royal Society of Chemistry Country of Publication: England NLM ID: 0372652 Publication Model: Electronic Cited Medium: Internet ISSN: 1364-5528 (Electronic) Linking ISSN: 00032654 NLM ISO Abbreviation: Analyst Subsets: MEDLINE
- Publication Information:
Publication: Cambridge : Royal Society of Chemistry
Original Publication: London : Chemical Society
- Subject Terms:
- Abstract:
Aberrant lipid metabolism has been widely recognized as a hallmark of various diseases. However, the comprehensive analysis of distinct lipids is challenging due to the complexity of lipid molecular structures, wide concentration ranges, and numerous isobaric and isomeric lipids. Usually, liquid chromatography-mass spectrometry (LC-MS)-based lipidomics requires a long time for chromatographic separation to achieve optimal separation and selectivity. Ion mobility (IM) adds a new separation dimension to LC-MS, significantly enhancing the coverage, sensitivity, and resolving power. We took advantage of the rapid separation provided by ion mobility and optimized a fast and broad-coverage lipidomics method using the LC-IM-MS technology. The method required only 8 minutes for separation and detected over 1000 lipid molecules in a single analysis of common biological samples. The high reproducibility and accurate quantification of this high-throughput lipidomics method were systematically characterized. We then applied the method to comprehensively measure dysregulated lipid metabolism in patients with colorectal cancer (CRC). Our results revealed 115 significantly changed lipid species between preoperative and postoperative plasma of patients with CRC and also disclosed associated differences in lipid classes such as phosphatidylcholines (PC), sphingomyelins (SM), and triglycerides (TG) regarding carbon number and double bond. Together, a fast and broad-coverage lipidomics method was developed using ion mobility-mass spectrometry. This method is feasible for large-scale clinical lipidomic studies, as it effectively balances the requirements of high-throughput and broad-coverage in clinical studies.
- Accession Number:
0 (Lipids)
- Publication Date:
Date Created: 20240902 Date Completed: 20241007 Latest Revision: 20241209
- Publication Date:
20241210
- Accession Number:
10.1039/d4an00751d
- Accession Number:
39219503
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