生物技术通报 ›› 2024, Vol. 40 ›› Issue (1): 145-159.doi: 10.13560/j.cnki.biotech.bull.1985.2023-0351

• 综述与专论 • 上一篇    下一篇

空间分辨代谢组学在疾病诊断研究中的应用进展

何诗瑜1(), 曾仲大2, 李博岩1()   

  1. 1.贵州医科大学公共卫生与健康学院,贵阳 550025
    2.大连大学环境与化学工程学院,大连 116622
  • 收稿日期:2023-04-15 出版日期:2024-01-26 发布日期:2024-02-06
  • 通讯作者: 李博岩,男,博士,副教授,研究方向:代谢组学及其应用;E-mail: boyan.li@gmc.edu.cn
  • 作者简介:何诗瑜,女,硕士研究生,研究方向:代谢组学及其应用;E-mail: heshiyu0123@yeah.net
  • 基金资助:
    国家自然科学基金项目(21864008);国家自然科学基金项目(22004022);贵州省科技计划支持项目(黔科合基础[2018]1130)

Application Progress of Spatially Resolved Metabolomics in Disease Diagnosis Research

HE Shi-yu1(), ZENG Zhong-da2, LI Bo-yan1()   

  1. 1. School of Public Health, Guizhou Medical University, Guiyang 550025
    2. College of Environmental and Chemical Engineering, Dalian University, Dalian 116622
  • Received:2023-04-15 Published:2024-01-26 Online:2024-02-06

摘要:

基于质谱成像技术发展而来的空间分辨代谢组学,能够直接对动植物组织或细胞中的代谢产物进行原位定性、定量,以及借力图像整体或局部特征对代谢物进行结构、含量、时空动态变化及其空间分布定位分析,识别潜在可靠的生物标志物。该技术具有高灵敏度、高分辨率、高可视化性以及无需标记等优点,已被越来越广泛地运用在临床疾病诊断与研究中。本文主要总结了近年来空间分辨代谢组学的技术发展,阐述其在肿瘤、神经精神疾病、糖尿病等疾病中的应用进展,旨在为空间分辨代谢组学在疾病诊断中的应用提供借鉴和参考。

关键词: 空间分辨代谢组学, 质谱成像, 疾病诊断, 代谢物, 生物标志物

Abstract:

Mass spectrometry imaging(MSI)based on spatially resolved metabolomics(SRM)has been recently developed to be a powerful technology. SRM can not only directly identify and quantify the metabolites in animal and plant tissues or cells in situ, but also use overall or local features of the image to determine the structure, content, spatiotemporal dynamic change, and spatial distribution of metabolites. It also may identify potential metabolic biomarkers. This technology has the advantages of high sensitivity, high resolution, judicious visualization and label-free, and therefore has been more and more widely applied in clinical disease diagnosis and research. This review summarizes some of the technological advances of SRM in recent years, and its emerging application in the fields of tumor, neuropsychiatric disorder, diabetes mellitus, among others, in an attempt to guide future application of SRM in disease diagnosis.

Key words: spatially resolved metabolomics(SRM), mass spectrometry imaging(MSI), disease diagnosis, metabolite, biomarker