Structural Annotation Method for Locating <i>sn</i>- and C═C Positions of Lipids Using Liquid Chromatography–Electron Impact Excitation of Ions from Organics (EIEIO)–Mass Spectrometry

Definitive structural elucidation of lipids is pivotal for unraveling the functions of lipids in biological systems. Despite advancements in mass spectrometry (MS) for lipid analysis, challenges in annotation scope and efficiency remain, especially in resolving isomers. Herein, we introduce an optimized method using liquid chromatography coupled with electron impact excitation of ions from organic tandem mass spectrometry (LC-EIEIO-MS/MS) for comprehensive analysis and structural annotation of lipids. This approach integrates a six-step analytical protocol for precise lipid annotation, including (1) extracting MS information, (2) classifying lipids, (3) aligning sum composition, (4) determining <i>sn</i>-positions, (5) locating C═C positions, and (6) ascertaining annotation levels. In analyzing 34 lipid standards spiked into serum, our method achieved 100% and 82.4% annotation accuracy at the <i>sn</i>- and C═C isomer levels, respectively, compared to 26.5% and 0% in the CID mode using MS-DIAL. A total of 1312 <i>sn</i>-positions and 1033 C═C locations of lipids were annotated in quality control plasma pooled from healthy individuals and patients with Alzheimer's disease. The isomers of lipids revealed more pronounced differences between the healthy and diseased groups compared to the sum compositions of the lipids. Overall, the LC-EIEIO-MS/MS approach provides a comprehensive profiling and efficient annotation method for lipidomics, promising to shed new light on lipid-related biological pathways and disease mechanisms.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-02-26
DOI
https://doi.org/10.1021/acs.analchem.4c05560
Citations
5
Primary Topic
Metabolomics and Mass Spectrometry Studies
Type
article
Field-Weighted Citation Impact
4.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Structural Annotation Method for Locating sn- and C═C Positions of Lipids Using Liquid Chromatography–Electron Impact Excitation of Ions from Organics (EIEIO)–Mass Spectrometry

Chunxiu Hu, Yaping Shao, Fei Jiang, Guowang Xu et al.
5 citations
Analytical Chemistry
Metabolomics and Mass Spectrometry Studies
4.03
article

Structural Annotation Method for Locating sn- and C═C Positions of Lipids Using Liquid Chromatography–Electron Impact Excitation of Ions from Organics (EIEIO)–Mass Spectrometry

Chunxiu Hu, Yaping Shao, Fei Jiang, Guowang Xu, Xiaoyan Dong, Yuqing Zhang, H. J. Yang, Yao Chen, Xinxin Wang, Hang Li
article en
5 citations

Abstract

Definitive structural elucidation of lipids is pivotal for unraveling the functions of lipids in biological systems. Despite advancements in mass spectrometry (MS) for lipid analysis, challenges in annotation scope and efficiency remain, especially in resolving isomers. Herein, we introduce an optimized method using liquid chromatography coupled with electron impact excitation of ions from organic tandem mass spectrometry (LC-EIEIO-MS/MS) for comprehensive analysis and structural annotation of lipids. This approach integrates a six-step analytical protocol for precise lipid annotation, including (1) extracting MS information, (2) classifying lipids, (3) aligning sum composition, (4) determining <i>sn</i>-positions, (5) locating C═C positions, and (6) ascertaining annotation levels. In analyzing 34 lipid standards spiked into serum, our method achieved 100% and 82.4% annotation accuracy at the <i>sn</i>- and C═C isomer levels, respectively, compared to 26.5% and 0% in the CID mode using MS-DIAL. A total of 1312 <i>sn</i>-positions and 1033 C═C locations of lipids were annotated in quality control plasma pooled from healthy individuals and patients with Alzheimer's disease. The isomers of lipids revealed more pronounced differences between the healthy and diseased groups compared to the sum compositions of the lipids. Overall, the LC-EIEIO-MS/MS approach provides a comprehensive profiling and efficient annotation method for lipidomics, promising to shed new light on lipid-related biological pathways and disease mechanisms.

Analytical ChemistryVol. 97(9)
Dalian Institute of Chemical Physics (CN), Dalian Medical University (CN), Chinese Academy of Sciences (CN), Affiliated Hospital of Liaoning University of Traditional Chinese Medicine (CN), University of Chinese Academy of Sciences (CN), Seventh People's Hospital of Dalian (CN), China Medical University (CN)
National Natural Science Foundation of China, Dalian Institute of Chemical Physics, National Key Research and Development Program of China, Dalian National Laboratory for Clean Energy
Openalex Percentile: Top 7%
Metabolomics and Mass Spectrometry Studies
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.