{"title":"空间解析代谢组学：从代谢物图谱到功能可视化。","authors":"Xinyue Min, Yiran Zhao, Meng Yu, Wenchao Zhang, Xinyi Jiang, Kaijing Guo, Xiangyi Wang, Jianpeng Huang, Tong Li, Lixin Sun, Jiuming He","doi":"10.1002/ctm2.70031","DOIUrl":null,"url":null,"abstract":"<div>\n \n \n <section>\n \n <p>Mass 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.</p>\n </section>\n \n <section>\n \n <h3> Highlights</h3>\n \n <div>\n <ul>\n \n <li>MSI-driven spatial metabolomics preserves metabolite spatial information, enhancing disease analysis and biomarker discovery.</li>\n \n <li>Advances in MSI technology improve detection sensitivity and accuracy, expanding bioanalytical applications.</li>\n \n <li>Enhanced visualization techniques refine metabolite identification and spatial distribution analysis.</li>\n \n <li>Integration of MSI with AI promises to advance precision medicine and accelerate drug development.</li>\n </ul>\n </div>\n </section>\n </div>","PeriodicalId":10189,"journal":{"name":"Clinical and Translational Medicine","volume":null,"pages":null},"PeriodicalIF":7.9000,"publicationDate":"2024-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11511672/pdf/","citationCount":"0","resultStr":"{\"title\":\"Spatially resolved metabolomics: From metabolite mapping to function visualising\",\"authors\":\"Xinyue Min, Yiran Zhao, Meng Yu, Wenchao Zhang, Xinyi Jiang, Kaijing Guo, Xiangyi Wang, Jianpeng Huang, Tong Li, Lixin Sun, Jiuming He\",\"doi\":\"10.1002/ctm2.70031\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <p>Mass 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.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Highlights</h3>\\n \\n <div>\\n <ul>\\n \\n <li>MSI-driven spatial metabolomics preserves metabolite spatial information, enhancing disease analysis and biomarker discovery.</li>\\n \\n <li>Advances in MSI technology improve detection sensitivity and accuracy, expanding bioanalytical applications.</li>\\n \\n <li>Enhanced visualization techniques refine metabolite identification and spatial distribution analysis.</li>\\n \\n <li>Integration of MSI with AI promises to advance precision medicine and accelerate drug development.</li>\\n </ul>\\n </div>\\n </section>\\n </div>\",\"PeriodicalId\":10189,\"journal\":{\"name\":\"Clinical and Translational Medicine\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2024-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11511672/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical and Translational Medicine\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70031\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, RESEARCH & EXPERIMENTAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical and Translational Medicine","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/ctm2.70031","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, RESEARCH & EXPERIMENTAL","Score":null,"Total":0}
Spatially resolved metabolomics: From metabolite mapping to function visualising
Mass 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.
期刊介绍：
Clinical and Translational Medicine (CTM) is an international, peer-reviewed, open-access journal dedicated to accelerating the translation of preclinical research into clinical applications and fostering communication between basic and clinical scientists. It highlights the clinical potential and application of various fields including biotechnologies, biomaterials, bioengineering, biomarkers, molecular medicine, omics science, bioinformatics, immunology, molecular imaging, drug discovery, regulation, and health policy. With a focus on the bench-to-bedside approach, CTM prioritizes studies and clinical observations that generate hypotheses relevant to patients and diseases, guiding investigations in cellular and molecular medicine. The journal encourages submissions from clinicians, researchers, policymakers, and industry professionals.
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