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Shotgun Lipidomics of Rodent Tissues

Shotgun Lipidomics of Rodent Tissues

Published on: November 18, 2022

Fast and broad-coverage lipidomics enabled by ion mobility-mass spectrometry

Yuping Cai¹, Xi Chen^1,2, Fandong Ren¹

¹Interdisciplinary Research Center on Biology and Chemistry, Shanghai Institute of Organic Chemistry, Chinese Academy of Sciences, Shanghai, 200032, P. R. China. jiangzhu@sioc.ac.cn.

|September 2, 2024

Summary

A new, rapid lipidomics method using ion mobility-mass spectrometry (IM-MS) analyzes over 1000 lipids in 8 minutes. This high-throughput technique reveals significant lipid changes in colorectal cancer patients, aiding clinical research.

Area of Science:

Biochemistry
Analytical Chemistry
Clinical Diagnostics

Background:

Aberrant lipid metabolism is a key indicator in various diseases.
Comprehensive lipid analysis is hindered by molecular complexity and analytical challenges.
Traditional liquid chromatography-mass spectrometry (LC-MS) requires lengthy separation times.

Purpose of the Study:

To develop a fast, broad-coverage lipidomics method using LC-IM-MS.
To enhance lipid separation, coverage, and sensitivity.
To apply the method for analyzing lipid metabolism in colorectal cancer (CRC).

Main Methods:

Utilized ion mobility (IM) as an additional separation dimension with LC-MS.
Optimized a rapid LC-IM-MS protocol for lipidomic analysis.
Validated method reproducibility, quantification accuracy, and throughput.

Main Results:

Developed an 8-minute lipidomics method detecting over 1000 lipid molecules.
Identified 115 significantly altered lipid species in colorectal cancer (CRC) patients' plasma.
Observed distinct changes in lipid classes like phosphatidylcholines (PC), sphingomyelins (SM), and triglycerides (TG).

Conclusions:

A fast, high-throughput, and broad-coverage lipidomics method was established using LC-IM-MS.
The method demonstrates feasibility for large-scale clinical lipidomic studies.
This approach effectively balances high-throughput needs with comprehensive lipid analysis in clinical settings.

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