Spatially resolved metabolomics: From metabolite mapping to function visualising

Xinyue Min; Yiran Zhao; Meng Yu; Wenchao Zhang; Kaijing Guo; Xiangyi Wang; Jianpeng Huang; Tong Li; Lixin Sun; Jiuming He

doi:10.1002/ctm2.70031

journal article Open Access Oct 25, 2024

Spatially resolved metabolomics: From metabolite mapping to function visualising

Xinyue Min

Yiran Zhao

Meng Yu

Wenchao Zhang

Kaijing Guo Xiangyi Wang Jianpeng Huang Tong Li

Lixin Sun

Jiuming He

Clinical and Translational Medicine Vol. 14 No. 11 · Wiley

View at Publisher Save 10.1002/ctm2.70031

Abstract

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

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Details

Published: Oct 25, 2024
Vol/Issue: 14(11)
License: View

Authors

X

Xinyue Min

School of Pharmacy Shenyang Pharmaceutical University Shenyang China; State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Y

Yiran Zhao

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

M

Meng Yu

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

W

Wenchao Zhang

School of Pharmacy Shenyang Pharmaceutical University Shenyang China; State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

K

Kaijing Guo

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

X

Xiangyi Wang

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

J

Jianpeng Huang

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

T

Tong Li

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

L

Lixin Sun

School of Pharmacy Shenyang Pharmaceutical University Shenyang China

J

Jiuming He

State Key Laboratory of Bioactive Substance and Function of Natural Medicines, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China; NMPA Key Laboratory of safety research and evaluation of Innovative Drug, Institute of Materia Medica Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China

Funding

National Natural Science Foundation of China Award: 82473887

Cite This Article

Xinyue Min, Yiran Zhao, Meng Yu, et al. (2024). Spatially resolved metabolomics: From metabolite mapping to function visualising. Clinical and Translational Medicine, 14(11). https://doi.org/10.1002/ctm2.70031

Spatially resolved metabolomics: From metabolite mapping to function visualising

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