Investigating metabolism by mass spectrometry: From steady state to dynamic view. (20th October 2020)

• Record Type: Journal Article
• Authors: Audano, Matteo; Pedretti, Silvia; Ligorio, Simona; Giavarini, Flavio; Caruso, Donatella; Mitro, Nico
• Other Names: Giorgi Gianluca guestEditor.; Napoli Anna guestEditor.
• Is Part Of: Journal of mass spectrometry. Volume 56:Number 1(2021)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2020-10-20
• Subjects: Mass spectrometry -- Periodicals; 543.65
• DOI: 10.1002/jms.4658
• Languages: English
• ISSNs: 1076-5174

Abstract

Abstract: Metabolism is the set of life‐sustaining reactions in organisms. These biochemical reactions are organized in metabolic pathways, in which one metabolite is converted through a series of steps catalyzed by enzymes in another chemical compound. Metabolic reactions are categorized as catabolic, the breaking down of metabolites to produce energy, and/or anabolic, the synthesis of compounds that consume energy. The balance between catabolism of the preferential fuel substrate and anabolism defines the overall metabolism of a cell or tissue. Metabolomics is a powerful tool to gain new insights contributing to the identification of complex molecular mechanisms in the field of biomedical research, both basic and translational. The enormous potential of this kind of analyses consists of two key aspects: (i) the possibility of performing so‐called targeted and untargeted experiments through which it is feasible to verify or formulate a hypothesis, respectively, and (ii) the opportunity to run either steady‐state analyses to have snapshots of the metabolome at a given time under different experimental conditions or dynamic analyses through the use of labeled tracers. In this review, we will highlight the most important practical (e.g., different sample extraction approaches) and conceptual steps to consider for metabolomic analysis, describing also the main application contexts in which it is used. In addition, we will provide some insights into the most innovative approaches and progress in the field of data analysis and processing, highlighting how this part is essential for the proper extrapolation and interpretation of data.