Lecture
Population to Single-Cell Metabolomics: Advances, Opportunities, and Key Challenges
- at -
- ICM Saal 2
- Type: Lecture
Lecture description
Metabolomics has emerged as a critical approach for elucidating the roles of small molecules in health and disease, bridging population-scale studies and single-cell analyses. This presentation reports our recent advances in chromatography-mass spectrometry platforms, including multidimensional separation techniques and highresolution MS, which significantly enhance metabolome and lipidome coverage. To address the challenge of the "dark metabolome," innovative annotation strategies such as the MetEx targeted extraction tool and structure-guided molecular networks are introduced. Furthermore, the development of high-throughput single-cell metabolomics
enables the investigation of cellular heterogeneity, exemplified by the metabolic profiling of circulating tumor cells for predicting cancer metastasis. Applications in populationbased clinical research demonstrate the utility of metabolomics in biomarker discovery (e.g., liver cancer), understanding metabolic reprogramming in liver failure for developing the new treatment strategy, and evaluating dietary interventions like resistant starch for NAFLD and obesity. Despite these advances, key challenges remain in metabolite annotation, quantification accuracy, and integrating multi-omics data. Continued collaboration between analytical, clinical, and biological disciplines and AI applications are essential to fully realize the potential of metabolomics in clinic medicine and life science.
Keywords: metabolomics, single-cell analysis, mass spectrometry, biomarker, metabolic reprogramming, precision medicine
enables the investigation of cellular heterogeneity, exemplified by the metabolic profiling of circulating tumor cells for predicting cancer metastasis. Applications in populationbased clinical research demonstrate the utility of metabolomics in biomarker discovery (e.g., liver cancer), understanding metabolic reprogramming in liver failure for developing the new treatment strategy, and evaluating dietary interventions like resistant starch for NAFLD and obesity. Despite these advances, key challenges remain in metabolite annotation, quantification accuracy, and integrating multi-omics data. Continued collaboration between analytical, clinical, and biological disciplines and AI applications are essential to fully realize the potential of metabolomics in clinic medicine and life science.
Keywords: metabolomics, single-cell analysis, mass spectrometry, biomarker, metabolic reprogramming, precision medicine
