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<p>Lipidomics, as a crucial branch of metabolomics, is dedicated to systematically analyzing the composition, structure, function, and dynamic changes of lipids in organisms, playing a pivotal role in elucidating disease mechanisms and discovering biomarkers. Conventional lipidomics methods based on liquid chromatography-mass spectrometry (LC-MS) require tissue homogenization, which obscures the spatial distribution of lipids and precludes the analysis of their heterogeneity within complex tissue microenvironments. In recent years, the development of spatial omics technologies such as mass spectrometry imaging (MSI) and laser capture microdissection (LCM) has provided powerful tools for the in situ and visual investigation of lipid spatial distribution. This paper systematically reviews the main analytical strategies in lipidomics, focusing on the technical principles, advances, and recent applications of spatial multi-omics integration. It further discusses the challenges faced by spatial lipidomics in terms of quantitative accuracy, isomer identification, and spatial localization precision, and provides an outlook on future technological developments. Spatial lipidomics breaks through the bottleneck of losing spatial information in traditional methods, and opens up a new path for further exploration of disease mechanisms and the&#xa0;discovery of new biomarkers in the spatial dimension.</p> Graphical abstract <p></p>

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Towards spatial lipid profiling by using mass spectrometry: analytical challenges and applications

  • 期刊论文

  • 发表日期：

    2026年7月23日

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  • Yaowei Liu,
  • Yihua Ou,
  • Hemi Luan,
  • Tiangang Luan

摘要

Lipidomics, as a crucial branch of metabolomics, is dedicated to systematically analyzing the composition, structure, function, and dynamic changes of lipids in organisms, playing a pivotal role in elucidating disease mechanisms and discovering biomarkers. Conventional lipidomics methods based on liquid chromatography-mass spectrometry (LC-MS) require tissue homogenization, which obscures the spatial distribution of lipids and precludes the analysis of their heterogeneity within complex tissue microenvironments. In recent years, the development of spatial omics technologies such as mass spectrometry imaging (MSI) and laser capture microdissection (LCM) has provided powerful tools for the in situ and visual investigation of lipid spatial distribution. This paper systematically reviews the main analytical strategies in lipidomics, focusing on the technical principles, advances, and recent applications of spatial multi-omics integration. It further discusses the challenges faced by spatial lipidomics in terms of quantitative accuracy, isomer identification, and spatial localization precision, and provides an outlook on future technological developments. Spatial lipidomics breaks through the bottleneck of losing spatial information in traditional methods, and opens up a new path for further exploration of disease mechanisms and the discovery of new biomarkers in the spatial dimension.

Graphical abstract