Spatially resolved metabolomics: From metabolite mapping to function visualising DOI Creative Commons
Xinrui Min, Yiran Zhao, Meng Yu

et al.

Clinical and Translational Medicine, Journal Year: 2024, Volume and Issue: 14(11)

Published: Oct. 25, 2024

Mass spectrometry imaging (MSI)-based spatially resolved metabolomics addresses the limitations inherent in traditional liquid chromatography-tandem mass (LC-MS)-based metabolomics, particularly loss of spatial context within heterogeneous tissues. MSI not only enhances our understanding disease aetiology but also aids identification biomarkers and assessment drug toxicity therapeutic efficacy by converting invisible metabolites biological networks into visually rendered image data. In this comprehensive review, we illuminate key advancements MSI-driven over past few years. We first outline recent innovations preprocessing methodologies instrumentation that improve sensitivity comprehensiveness metabolite detection. then delve progress made functional visualization techniques, which enhance precision annotation. Ultimately, discuss significant potential applications technology translational medicine development, offering new perspectives for future research clinical translation. HIGHLIGHTS: preserves information, enhancing analysis biomarker discovery. Advances detection accuracy, expanding bioanalytical applications. Enhanced techniques refine distribution analysis. Integration with AI promises to advance accelerate development.

Language: Английский

Spatially resolved metabolomics: From metabolite mapping to function visualising DOI Creative Commons
Xinrui Min, Yiran Zhao, Meng Yu

et al.

Clinical and Translational Medicine, Journal Year: 2024, Volume and Issue: 14(11)

Published: Oct. 25, 2024

Mass spectrometry imaging (MSI)-based spatially resolved metabolomics addresses the limitations inherent in traditional liquid chromatography-tandem mass (LC-MS)-based metabolomics, particularly loss of spatial context within heterogeneous tissues. MSI not only enhances our understanding disease aetiology but also aids identification biomarkers and assessment drug toxicity therapeutic efficacy by converting invisible metabolites biological networks into visually rendered image data. In this comprehensive review, we illuminate key advancements MSI-driven over past few years. We first outline recent innovations preprocessing methodologies instrumentation that improve sensitivity comprehensiveness metabolite detection. then delve progress made functional visualization techniques, which enhance precision annotation. Ultimately, discuss significant potential applications technology translational medicine development, offering new perspectives for future research clinical translation. HIGHLIGHTS: preserves information, enhancing analysis biomarker discovery. Advances detection accuracy, expanding bioanalytical applications. Enhanced techniques refine distribution analysis. Integration with AI promises to advance accelerate development.

Language: Английский

Citations

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